| THE STRIP | THE MOB MUSEUM | NEON MUSEUM |
|
The 2.5-mile-long central section of Las Vegas Boulevard, which runs through the city from northeast to southwest, known as the Strip, is where the action is. Lined with huge entertainment palaces, many built with a defining theme, and home to performance venues, luxury hotel rooms, and fine dining, this is what most people think of when they picture Las Vegas. One of the must-do's in Las Vegas is walking along the Strip and soaking up the sights. It's particularly impressive at night, when the city is illuminated by an endless succession of glittering neon signs. This area is a never-ending feast for the senses. Generally speaking, the Las Vegas Strip runs from the Mandalay Bay Hotel to Treasure Island Hotel. To truly experience Las Vegas, stay on The Strip, preferably at one of the major resorts. |
The Mob Museum, or the National Museum of Organized Crime and Law Enforcement as it is officially named, is a truly unique and standout museum in Nevada. The museum is housed in a 1933 Neoclassical building, formerly the US Post Office and Courthouse, that has its own history. It was one of the locations for the famous Kefauver Committee hearings in 1950, which revealed some ugly truths about organized crime in Las Vegas and across the US. The museum tells the unvarnished history of the Mob in America through engaging, interactive displays and video clips. Exhibits deal with everything from the individual characters and events to the culture and fashion associated with the times. |
The bright and colorful neon signs of Las Vegas have been one of the city's most memorable sights for countless visitors throughout the years. These multi-story advertising beacons became one of the city's claims to fame. Today, the Neon Museum is working hard to preserve some of the city's history by purchasing, storing, and in some cases, refurbishing the historic neon signs that have gone by the wayside as businesses have faded or new signs have taken the place of older icons. You can see many of these signs by taking a guided tour at the Neon Museum, where old neon signs are stored outside in a large compound. Guides provide the history of the signs and designs, which have evolved over the years. |
| LUXOR HOTEL | STRATOSPHERE TOWER | EXCALIBUR HOTEL |
|
Another distinctive theme hotel, at the far southwest end of the Strip, is the Luxor Hotel. Designed in an ancient Egyptian theme, the hotel is shaped like a pyramid, with a sphinx proudly gazing out over the street. The Luxor, like all the major resorts, offers a wide variety of restaurants and shopping opportunities. One of the standout features of this hotel is the beam of light that projects from the highest point of the pyramid and shoots up into the night sky. It can be seen from almost anywhere in Las Vegas. |
The Stratosphere Tower is an unmistakable sight on the Las Vegas skyline. The tower rises up 1,149 feet, and at the very top is the Skypod, the real attraction for visitors. From the various levels of the Skypod, you'll find a whole host of things to do. These include a variety of heart-pounding thrill rides, including the SkyJump, Big Shot, X Scream, and Insanity. For those looking for a little less drama, check out the indoor and outdoor observation decks with great views over the city. The Top of the World Restaurant is a great place to grab an excellent meal while soaking up the views of the Las Vegas Strip off in the distance. |
The Excalibur Hotel in Las Vegas is another theme hotel on the Strip. Decked out in medieval character, the hotel features some wild architecture, complete with turrets. The hotel has all the amenities a visitor could possibly imagine, with varied entertainment, a huge pool area, and a good assortment of restaurants. Figures range from Elvis to Bradley Cooper and Sofia Vergara right though to musical acts like Beyoncé and Miley Cyrus. The overall focus or theme of Madame Tussaud's is on people who are associated with Las Vegas or in show business. |
| Go Back To Main Page |


Tools Menu
Tools Menu | - Invoke various useful tools
FORMS
:
Selecting Debugger provides access to the GUI Debugger; this will be described in detail in Chapter 18 (Using the ALS IDE Debugger) .
Source Tcl allows one to “source” a Tcl/Tk file into a user/program-defined Tcl
interpreter; the dialog prompts you for the name of the interpreter.
Kill Tcl Interps destroys all user-defined Tcl/Tk interpreters.


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This may have occurred if you clicked a broken link or made an error when entering the address.


Do not use Python unless absolutely required.
Python scripts can introduce performance bottlenecks for simple executions, as it is interpreted at runtime.


About Me
Hi! My name is Javier and I am a Spanish Industrial Engineer who lives in the Bay Area.
Righ now I´m learning how to code and this is my first project!
I love traveling, technology and sports, but what I enjoy the most is gastronomy and trying food from different parts of the world! (and beer...)
I love traveling, technology and sports, but what I enjoy the most is gastronomy and trying food from different parts of the world! (and beer...)
I love traveling, technology and sports, but what I enjoy the most is gastronomy and trying food from different parts of the world! (and beer...)


Shopify
Wordpress
Magento
Web Design
UX Design
Custom
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Gigastorage focuses on PV power generation projects
by Nuying Huang, Taipei; Adam Hwang, DIGITIMESGigastorage has transformed from a solar-grade poli-Si wafer producer into a company handling EPC (engineering, procurement, construction) for PV power generation projects, according to company chairman Jimmy Chen.
So far in 2019, Gigastorage has obtained EPC contracts with total installation capacity of 27.461MWp and completed 19.416MWp, of which 17.828MWp has been on grid, Chen said.
In Taiwan, new PV power generation projects to come into construction in 2020 are estimated to add total installation caapcity of 2,500MWp, and Gigastorage aims to share 50-60MWp (2-2.4%), Chen noted.
Gigastorage has also begun production of semiconductor-grade test and dummy wafers - mainly 8-inch ones, Chen indicated.
Gigastorage posted consolidated revenues of NT$1.905 billion (US$62.5 million), gross margin of 12.48%, net operating loss of NT$49.3 million, net loss of NT$15.4 million and net loss per share of NT$0.07 for third-quarter 2019, leading to consolidated revenues of NT$6.368 billion, gross margin of 11.81%, net operating loss of NT$21.2 million, net profit of NT$217.2 million and net EPS of NT$1.05 for January-September.
Gigastorage has reported consolidated revenues of NT$635.1 million for October, slipping 14.78% sequentially but growing 15.03% on year, and those of NT$7.007 billion for January-October dipped 13.70% on year.


Source code examples: ply.h, plytest.c, plyfile.c, plydocs.txt
Introduction
This document presents the PLY polygon file format, a format for storing graphical objects that are described as a collection of polygons. Our goal is to provide a format that is simple and easy to implement but that is general enough to be useful for a wide range of models. The file format has two sub-formats: an ASCII representation for easily getting started, and a binary version for compact storage and for rapid saving and loading. We hope that this format will promote the exchange of graphical object between programs and also between groups of people.
OverviewAnyone who has worked in the field of computer graphics for even a short time knows about the bewildering array of storage formats for graphical objects. It seems as though every programmer creates a new file format for nearly every new programming project. The way out of this morass of formats is to create a single file format that is both flexible enough to anticipate future needs and that is simple enough so as not to drive away potential users. Once such a format is defined, a suite of utilities (both procedures and entire programs) can be written that are centered around this format. Each new utility that is added to the suite can leverage off the power of the others.
The PLY format describes an object as a collection of vertices, faces and other elements, along with properties such as color and normal direction that can be attached to these elements. A PLY file contains the description of exactly one object. Sources of such objects include: hand-digitized objects, polygon objects from modeling programs, range data, triangles from marching cubes (isosurfaces from volume data), terrain data, radiosity models. Properties that might be stored with the object include: color, surface normals, texture coordinates, transparency, range data confidence, and different properties for the front and back of a polygon.
The PLY format is NOT intended to be a general scene description language, a shading language or a catch-all modeling format. This means that it includes no transformation matrices, object instantiation, modeling hierarchies, or object sub-parts. It does not include parametric patches, quadric surfaces, constructive solid geometry operations, triangle strips, polygons with holes, or texture descriptions (not to be confused with texture coordinates, which it does support!).
A typical PLY object definition is simply a list of (x,y,z) triples for vertices and a list of faces that are described by indices into the list of vertices. Most PLY files include this core information. Vertices and faces are two examples of "elements", and the bulk of a PLY file is its list of elements. Each element in a given file has a fixed number of "properties" that are specified for each element. The typical information in a PLY file contains just two elements, the (x,y,z) triples for vertices and the vertex indices for each face. Applications can create new properties that are attached to elements of an object. For example, the properties red, green and blue are commonly associated with vertex elements. New properties are added in such a way that old programs do not break when these new properties are encountered. Properties that are not understood by a program can either be carried along uninterpreted or can be discarded. In addition, one can create a new element type and define the properties associated with this element. Examples of new elements are edges, cells (lists of pointers to faces) and materials (ambient, diffuse and specular colors and coefficients). New elements can also be carried along or discarded by programs that do not understand them.
File StructureThis is the structure of a typical PLY file:
Header Vertex List Face List (lists of other elements)
The header is a series of carriage-return terminated lines of text that describe the remainder of the file. The header includes a description of each element type, including the element's name (e.g. "edge"), how many such elements are in the object, and a list of the various properties associated with the element. The header also tells whether the file is binary or ASCII. Following the header is one list of elements for each element type, presented in the order described in the header.
Below is the complete ASCII description for a cube. The header of a binary version of the same object would differ only in substituting the word "binary_little_endian" or "binary_big_endian" for the word "ascii". The comments in brackets are NOT part of the file, they are annotations to this example. Comments in files are ordinary keyword-identified lines that begin with the word "comment".
ply format ascii 1.0 { ascii/binary, format version number } comment made by Greg Turk { comments keyword specified, like all lines } comment this file is a cube element vertex 8 { define "vertex" element, 8 of them in file } property float x { vertex contains float "x" coordinate } property float y { y coordinate is also a vertex property } property float z { z coordinate, too } element face 6 { there are 6 "face" elements in the file } property list uchar int vertex_index { "vertex_indices" is a list of ints } end_header { delimits the end of the header } 0 0 0 { start of vertex list } 0 0 1 0 1 1 0 1 0 1 0 0 1 0 1 1 1 1 1 1 0 4 0 1 2 3 { start of face list } 4 7 6 5 4 4 0 4 5 1 4 1 5 6 2 4 2 6 7 3 4 3 7 4 0
This example demonstrates the basic components of the header. Each part
of the header is a carriage-return terminated ASCII string that begins with a
keyword. Even the start and end of the header ("ply
Following the start of the header is the keyword "format" and a specification of either ASCII or binary format, followed by a version number. Next is the description of each of the elements in the polygon file, and within each element description is the specification of the properties. Then generic element description has this form:
elementproperty property property ...
The properties listed after an "element" line define both the data type of the property and also the order in which the property appears for each element. There are two kinds of data types a property may have: scalar and list. Here is a list of the scalar data types a property may have:
name type number of bytes --------------------------------------- char character 1 uchar unsigned character 1 short short integer 2 ushort unsigned short integer 2 int integer 4 uint unsigned integer 4 float single-precision float 4 double double-precision float 8
These byte counts are important and must not vary across implementations in order for these files to be portable. There is a special form of property definitions that uses the list data type:
property list
An example of this is from the cube file above:
property list uchar int vertex_index
This means that the property "vertex_index" contains first an unsigned char telling how many indices the property contains, followed by a list containing that many integers. Each integer in this variable-length list is an index to a vertex.
Another ExampleHere is another cube definition:
ply format ascii 1.0 comment author: Greg Turk comment object: another cube element vertex 8 property float x property float y property float z property uchar red { start of vertex color } property uchar green property uchar blue element face 7 property list uchar int vertex_index { number of vertices for each face } element edge 5 { five edges in object } property int vertex1 { index to first vertex of edge } property int vertex2 { index to second vertex } property uchar red { start of edge color } property uchar green property uchar blue end_header 0 0 0 255 0 0 { start of vertex list } 0 0 1 255 0 0 0 1 1 255 0 0 0 1 0 255 0 0 1 0 0 0 0 255 1 0 1 0 0 255 1 1 1 0 0 255 1 1 0 0 0 255 3 0 1 2 { start of face list, begin with a triangle } 3 0 2 3 { another triangle } 4 7 6 5 4 { now some quadrilaterals } 4 0 4 5 1 4 1 5 6 2 4 2 6 7 3 4 3 7 4 0 0 1 255 255 255 { start of edge list, begin with white edge } 1 2 255 255 255 2 3 255 255 255 3 0 255 255 255 2 0 0 0 0 { end with a single black line }
This file specifies a red, green and blue value for each vertex. To illustrate the variable-length nature of vertex_index, the first two faces of the object are triangles instead of a single square. This means that the number of faces in the object is 7. This object also contains a list of edges. Each edge contains two pointers to the vertices that delinate the edge. Each edge also has a color. The five edges defined above were specified so as to highlight the two triangles in the file. The first four edges are white, and they surround the two triangles. The final edge is black, and it is the edge that separates the triangles.
User-Defined ElementsThe examples above showed the use of three elements: vertices, faces and edges. The PLY format allows users to define their own elements as well. The format for defining a new element is exactly the same as for vertices, faces and edges. Here is the section of a header that defines a material property:
element material 6 property ambient_red uchar { ambient color } property ambient_green uchar property ambient_blue uchar property ambient_coeff float property diffuse_red uchar { diffuse color } property diffuse_green uchar property diffuse_blue uchar property diffuse_coeff float property specular_red uchar { specular color } property specular_green uchar property specular_blue uchar property specular_coeff float property specular_power float { Phong power }
These lines would appear in the header directly after the specification of vertices, faces and edges. If we want each vertex to have a material specification, we might add this line to the end of the properties for a vertex:
property material_index int
This integer is now an index into the list of materials contained in the file. It may be tempting for the author of a new application to invent several new elements to be stored in PLY files. This practice should be kept to a minimum. Much better is to try adapting common elements (vertices, faces, edges, materials) to new uses, so that other programs that understand these elements might be useful in manipulating these adapted elements. Take, for example, an application that describes molecules as collections of spheres and cylinders. It would be tempting define sphere and cylinder elements for the PLY files containing the molecules. If, however, we use the vertex and edge elements for this purpose (adding the radius property to each), we can make use of programs that manipulate and display vertices and edges. Clearly one should not create special elements for triangles and quadrilaterals, but instead use the face element. What if a program does not know the adjacency between faces and vertices (so-called unshared vertices)? This is where each triangle (say) is purely a collection of three positions in space, with no notion whether some triangles have common vertices. This is a fairly common situation. Assuming there are N triangles in a given object, then 3N vertices should be written to the file, followed by N faces that simply connect up these vertices. We anticipate that a utility will be written that converts between unshared and shared vertex files.


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s. strong message . Cool Notification Css Style
Lorem Ipsum is simply dummy text of the printing and typesetting industry. For performance reasons, the Tooltip and Popover data-apis are opt-in, meaning strong message.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s. strong message .
Lorem Ipsum is simply dummy text of the printing and typesetting industry. For performance reasons, the Tooltip and Popover data-apis are opt-in, meaning strong message.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s. strong message .
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s. strong message .


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- valueOf(String) - Static method in enum com.willowtreeapps.spruce.sort.CorneredSort.Corner
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.willowtreeapps.spruce.sort.LinearSort.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.willowtreeapps.spruce.sort.RadialSort.Position
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum com.willowtreeapps.spruce.sort.CorneredSort.Corner
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.willowtreeapps.spruce.sort.LinearSort.Direction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.willowtreeapps.spruce.sort.RadialSort.Position
-
Returns an array containing the constants of this enum type, in
the order they are declared.


Come to iHeartheaven for all you altar needs. We supply large comglomerates and individals. No request is too big or too small and we also take custom orders.
Located in lovely San francisco, California!
Our love of all folk art for altars has given us a global leadership position in the altars industry.
We feature our artists work. We are Fair Trade. We are conscious of the human struggle. We love life.


Test Results for Test Case 1
Project Name:
DealFoundary
Test Result:
Fail
Flow Identifier
Data Identifier
Action
Expected Result
Actual Result
Test Result
Value
1
1
Validate that the User Name does exist on the page.
true
true
Pass
Expectation matched.


Hand crafted in Italy, the iconic 100MM high-top sneaker in box leather, the finest part of the calf. Artfully constructed with hand painted edges and signature heel handle. The shoe comes with raw brass hardware featuring a three-piece closure and lock. 100 millimeters in height.


| Size: | EU 41 (US 8), EU 42 (US 9), EU 43 (US 10), EU 45 (US 12) |
|---|---|
| Colors: | Violet, Black, Blue |
| Fabric: | Cotton (100%) |
Customer Friendly & blazing collections of shirts.. Linen shirts were jus too gud & the prices are definitely affordable. Purchasing an awesome clothes from this website is easy than you can imagine.


--- layout: default title: ICSECT'19 - Important Dates meta: The important dates, such as deadlines and registration dates, are provided for ICSECT. keyword: structural engineering, structural engineering conference 2019, building design, building design conference, prague, construction conference, construction management conference, structural dynamics conference, earthquake conference, construction management, structural dynamics, earthquake engineering, structural conference 2019, structural engineering conference, prague conference, construction, earthquake, earthquake engineering conference ---
The important dates and deadlines for the 4th International conference on Structural Engineering and Concrete Technology (ICSECT'19) are as follows:
| Conference Dates |
| April 7 - 9 |
Extended Paper Submission Deadline |
December 12, 2018 |
Extended Notification of Authors |
January 10, 2019 |
Final Version of Accepted Submissions Deadline |
February 12, 2019 |
| Registration Deadline |
Extended Early Bird Registration
|
Extended Regular Registration*
|
| Late Registration After February 22, 2019 |
| Conference Dates | April 7 - 9 |
Extended Paper Submission Deadline |
December 12, 2018 |
Extended Notification of Authors |
January 10, 2019 |
Final Version of Accepted Submissions Deadline |
February 12, 2019 |
| Registration Deadline | Extended Early Bird Registration
|
|---|---|
Extended Regular Registration*
|
|
| Late Registration After February 22, 2019 |
*This is the deadline for the registration of Authors


The method of applying a patch to JBoss EAP depends on your installation method. If you installed JBoss EAP using the ZIP or installer methods, you must use the ZIP-based patch management system. If you used RPMs to install JBoss EAP on Red Hat Enterprise Linux, you must use RPM patches. Important.
Before applying or rolling back a patch, you should back up your JBoss EAP server, including all deployments and configuration files.
Cumulative patches for a ZIP or Installer installation of JBoss EAP are available to download from the Red Hat Customer Portal.
For multiple JBoss EAP hosts in a managed domain environment, individual hosts can be patched from your JBoss EAP domain controller.
In addition to applying a patch, you can also roll back the application of a patch.
EAP_HOME/modules/system/layers/base/.overlays/PATCH_ID/MODULE
. The original unpatched files are left in EAP_HOME/modules/system/layers/base/MODULE
, but these JARs are not used at runtime.


Gigya Unofficial UI Builder layout editor
An error ocurred
Please make sure UI Builder is the active tab and select a control in the screen-set
Row added successfully under the selected control - A Save operation might be required in order to drag controls inside it
Column added successfully to the right of the selected control - A Save operation might be required in order to drag controls inside it


| Package | Description |
|---|---|
| oracle.wsc.android.call |
Provides a Call handling API.
|
| oracle.wsc.android.constants |
Common constants.
|
| oracle.wsc.android.messaging |
Provides a SIP based Messaging API.
|
| oracle.wsc.android.session |
Session API.
|
| Modifier and Type | Method and Description |
|---|---|
StatusCode |
Cause.getStatusCode()
Gets the status code if available.
|
| Constructor and Description |
|---|
Cause(StatusCode statusCode)
Constructor.
|
Cause(StatusCode statusCode,
Map extHeaders)
Constructor.
|
| Modifier and Type | Field and Description |
|---|---|
static StatusCode |
StatusCode.BAD_REQUEST
The request could not be understood due to malformed syntax.
|
static StatusCode |
StatusCode.BUSY_EVERYWHERE
The callee's end system was contacted successfully but the callee is busy and does not wish to take the call at
this time.
|
static StatusCode |
StatusCode.BUSY_HERE
The callee's end system was contacted successfully, but the callee is currently not willing or able to take
additional calls at this end system.
|
static StatusCode |
StatusCode.DECLINED
The callee's machine was successfully contacted but the user explicitly does not wish to or cannot participate.
|
static StatusCode |
StatusCode.FORBIDDEN
The server understood the request, but is refusing to fulfil it.
|
static StatusCode |
StatusCode.OK
Indicates the request was successful.
|
static StatusCode |
StatusCode.PROXYAUTH_REQUIRED
This code is similar to 401 (UNAUTHORIZED), but indicates that the client MUST first authenticate itself with the
proxy.
|
static StatusCode |
StatusCode.REQUEST_PENDING
Server has some pending request from the same dialog.
|
static StatusCode |
StatusCode.REQUEST_TERMINATED
Request has been terminated by bye or cancel.
|
static StatusCode |
StatusCode.REQUEST_TIMEOUT
Couldn't find the user in time.
|
static StatusCode |
StatusCode.RESOURCE_UNAVAILABLE
The server has definitive information that the user does not exist at the domain specified in the Request-URI.
|
static StatusCode |
StatusCode.RINGING
Destination user agent received INVITE, and is alerting user of call.
|
static StatusCode |
StatusCode.SERVER_ERROR
The server could not fulfill the request due to some unexpected condition.
|
static StatusCode |
StatusCode.SESSION_PROGRESS
This response may be used to send extra information for a call which is still being set up.
|
static StatusCode |
StatusCode.TEMPORARILY_UNAVAILABLE
Callee currently unavailable.
|
static StatusCode |
StatusCode.UNAUTHORIZED
The request requires user authentication.
|
static StatusCode |
StatusCode.UNKNOWN
Unknown status.
|
static StatusCode |
StatusCode.WEBSOCKET_ERROR
The error code for WebSocket.
|
| Modifier and Type | Method and Description |
|---|---|
static StatusCode |
StatusCode.getByCode(int code)
Get StatusCode by value.
|
static StatusCode |
StatusCode.getStatusCode(Frame frame)
Extract the frame status code to
StatusCode enum. |
static StatusCode |
StatusCode.valueOf(String name) |
static StatusCode[] |
StatusCode.values() |
| Modifier and Type | Method and Description |
|---|---|
abstract void |
MessagingPackage.Observer.onErrorResponse(MessagingMessage messagingMessage,
StatusCode code,
String reason,
Map extHeaders)
An event handler which is called when a reject/negative acknowledgment is received for a sent message.
|
void |
MessagingPackage.reject(MessagingMessage messagingMessage,
StatusCode statusCode,
String reason,
Map extHeaders)
Rejects the incoming message and sends a NACK.
|
| Modifier and Type | Method and Description |
|---|---|
void |
WSCSession.ConnectionCallback.onFailure(StatusCode statusCode)
Connection error.
|
void |
HibernationHandler.onFailure(StatusCode code)
On failure response for Hibernate requests originated from Client.
|
void |
HibernationHandler.onRequestCompleted(StatusCode code)
On completion of request for Hibernate originated from the Server.
|


Raspberry Pi Server
This is the Raspberry Pi server main page. Here is a list of pages in this server:
CREDITS
- eBook Server: @seblucas (Source code here)
- Main page: @shaunakg (Source code here)
- Server: Raspberry Pi (Link)
- Server backend code: nGINX/APACHE and PHP


Kelly Educational Staffing August 2019 – July 2020
Houston TX
Substitute Teacher/Instructor.
• Worked and coordinated students learning across all grade levels up to 12th grade
• Contributes to student learning, growth, advancement and displays an inclination for developing competency across the curriculum.
• Observed individual student performance, progress and reporting observations to parents and school administrators
• Attended & organized student study groups, student interactions and after school hour tutoring
• Assisted with planning student activities during recess period.
• Prepared class activities to supplement the material and engage students, as well as addressed different learning levels
• Deliver personalized instruction to each student by encouraging interactive learning.
• Worked with students to maintain positive mindset toward their learning, teaching practice, and personal/collective professional development.
• Worked efficiently within existing learning structures and believes in the capability of students to excel and facilitates problem-solving.
• Adhere to the school curriculum and lesson plans as provided in teacher’s manual.
• Comply with all school regulations and policies at all times and explain homework to students
• Take attendance and document daily notes
• Oversee the normal classroom rhythms and activities as well as outside of the classroom activities
Begining
Kelly Educational Staffing August 2019 – July 2020
Houston TX
Substitute Teacher/Instructor.
• Worked and coordinated students learning across all grade levels up to 12th grade
• Contributes to student learning, growth, advancement and displays an inclination for developing competency across the curriculum.
• Observed individual student performance, progress and reporting observations to parents and school administrators
• Attended & organized student study groups, student interactions and after school hour tutoring
• Assisted with planning student activities during recess period.
• Prepared class activities to supplement the material and engage students, as well as addressed different learning levels
• Deliver personalized instruction to each student by encouraging interactive learning.
• Worked with students to maintain positive mindset toward their learning, teaching practice, and personal/collective professional development.
• Worked efficiently within existing learning structures and believes in the capability of students to excel and facilitates problem-solving.
• Adhere to the school curriculum and lesson plans as provided in teacher’s manual.
• Comply with all school regulations and policies at all times and explain homework to students
• Take attendance and document daily notes
• Oversee the normal classroom rhythms and activities as well as outside of the classroom activities.
JS Bin


On the introductory pages of main sections, it can be useful
to repeat the secondary navigation and provide more context,
such as:
- Mission: Learn more about our corporate
mission and philanthropic efforts.
- History: Read about our corporate history
and learn how we grew to become the largest widget maker
in the country.
- Executive Team: Our team of executives makes
the company run like a well-oiled machine (also useful for
making widgets).
- Contact Us: Here you can find multiple
methods for contacting us (and we really do care what you
have to say).


Term Extraction
Threshold
Maximum number of terms
Shortest Term
Shortest term is 1.
Not a valid input.
Longest Term
A term cannot be shorter than 1.
Minimum Term Frequency
Minimum term frequence has a positive value.
Methodology
Single Feature
Voting
Key Feature
Average Term Frequency
Basic
Combo Basic
C Value
Novel Topic Model
Post Rank DC
Relevance
Residual IDF
Total IDF
Weirdness
Future Basic
Future Combo Basic
Features
Remove
Add feature
Average Term Frequency
Basic
Combo Basic
C Value
Novel Topic Model
Post Rank DC
Relevance
Residual IDF
Total IDF
Weirdness
Add
Blacklist
Remove
Add term
Add
Blacklist file:
Reference Corpus
At least one term per document
Yes
No
Term Extraction (language specific)
Part-of-speech model (for
OpenNLP
)
Tokenizer model (for
OpenNLP
, empty for whitespace tokenizer)
Lemmatizer model (for
OpenNLP
)
Stopwords ([path to file, one word per line, empty for standard English list)
Part-of-Speech tags occuring in any location in the term
Part-of-Speech tags occuring in non-initial, non-final position
Part-of-Speech tags occuring at end of term
Head-last language
Terms match regular expression
({{data.termExtraction.preceedingTokens}}+({{data.termExtraction.middleTokens}}|{{data.termExtraction.preceedingTokens}})*){{data.termExtraction.headTokens}}
{{data.termExtraction.headTokens}}(({{data.termExtraction.middleTokens}}|{{data.termExtraction.preceedingTokens}})*{{data.termExtraction.preceedingTokens}}+)
Concept Consolidation
Algorithm
Simple
Author-Term Extraction
Top N
Minimum Documents for Author
Author Similarity Extraction
Threshold
Top N
Term Similarity Extraction
Threshold
Top N
Taxonomy Extraction
Algorithm
Greedy
Beam
Minimum Spanning Tree
Scoring Method
Simple
Transitive
Bhattacharrya-Poisson
Beam Size
Base Scoring Method
Simple
Transitive
Average number of children
BP Weighting (alpha)
Trained Saffron Model
Go


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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype | |
|---|---|
| de.uni.bamberg.wiai.minf.forflow.datagenerator.controller | Represents the controller of the MVC pattern; it's not allowed to get access to the data model directly, instead use this package to do so. |
| de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.distribution | To make data generation flexible and not static, random data is used; This data is calculated by probability distributions. |
| de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype | Specifies different types to 'fill' attributes with data or values, respectively. |
| de.uni.bamberg.wiai.minf.forflow.datagenerator.model | Represents the data model of MVC pattern; therefore, the data structures used in this application are stored here. |
| de.uni.bamberg.wiai.minf.forflow.datagenerator.model.datastructure | Contains the Meta-Meta-Model artefact class describing the EMF Ecore Meta-Model. |
| de.uni.bamberg.wiai.minf.forflow.datagenerator.view | Represents the view of the MVC pattern and interacts with the user through a UI. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.controller | |
|---|---|
| Generator
This class is an abstract generator class and implements FillBehaviour and ObservableGenerator interfaces. |
|
| ObserverGenerator
To get the possibility to register and un-register to generators we use the Observer Pattern. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.distribution | |
|---|---|
| ObserverFillBehaviour
This interface allows observers to get notified when its subject, in that case FillBehaviour , changes state. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype | |
|---|---|
| Address
Address class is responsible for generating meaningful addresses. |
|
| Country
This class has the job of generating country names. |
|
| DateInterval
This is an enumeration of possible levels of details by the generation of dates. |
|
| Dates
This class is responsible for creating dates. |
|
| Editor
The editor filling type is a fast and handy option when no flat file exits, no interval can be defined and no pre-defined generator fits. |
|
| Email
This class is responsible for generating email addresses. |
|
| ExternalFile
This class implements FillBehaviour interface. |
|
| FillBehaviour
Here is the interface for the filling strategy. |
|
| FillType
This abstract class represents the type of filling any MetaAttribute
with valuable data. |
|
| FirstName
This generator has the job of generating first names. |
|
| Generator
This class is an abstract generator class and implements FillBehaviour and ObservableGenerator interfaces. |
|
| Interval
Interval implements FillBehaviour |
|
| IntervalType
This enum is used to set the type of interval. |
|
| LanguageType
This is an enumeration of supported languages to generate test data to. |
|
| LastName
This generator is responsible to generate surnames for an attribute. |
|
| Name
This generator is responsible for creating names. |
|
| ObservableFillBehaviour
This interface allows observers to get notified when its subject, in that case FillBehaviour , changes state. |
|
| ObservableGenerator
To get the possibility to register and un-register to generators we use the Observer Pattern. |
|
| ObserverFillBehaviour
This interface allows observers to get notified when its subject, in that case FillBehaviour , changes state. |
|
| ObserverGenerator
To get the possibility to register and un-register to generators we use the Observer Pattern. |
|
| Sex
Sex generator has the job of creating the sex to an attribute. |
|
| SexType
This enumeration lists the possible sex types. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.model | |
|---|---|
| Generator
This class is an abstract generator class and implements FillBehaviour and ObservableGenerator interfaces. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.model.datastructure | |
|---|---|
| FillBehaviour
Here is the interface for the filling strategy. |
|
| FillType
This abstract class represents the type of filling any MetaAttribute
with valuable data. |
| Classes in de.uni.bamberg.wiai.minf.forflow.datagenerator.controller.datageneration.filltype used by de.uni.bamberg.wiai.minf.forflow.datagenerator.view | |
|---|---|
| Generator
This class is an abstract generator class and implements FillBehaviour and ObservableGenerator interfaces. |
|
| ObserverGenerator
To get the possibility to register and un-register to generators we use the Observer Pattern. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |


Examples1
Head over to the headroom.js playroom if you want see some example usages. There you can tweak all of headroom's options and apply different CSS effects in an interactive demo.
Head over to the headroom.js playroom if you want see some example usages. There you can tweak all of headroom's options and apply different CSS effects in an interactive demo.
Head over to the headroom.js playroom if you want see some example usages. There you can tweak all of headroom's options and apply different CSS effects in an interactive demo.
Head over to the headroom.js playroom if you want see some example usages. There you can tweak all of headroom's options and apply different CSS effects in an interactive demo.


Home
Add stock
New stock
To add a new stock, fill in the following textbox input and press submit button when done.
Brand
Color
Price
Size
Instock
Cancel
Submit


FtpPut
Send a file to the remote system.
SYNOPSIS
#include <ftplib.h>
int FtpPut(const char *input, const char *path, char mode, netbuf *nControl);
PARAMETERS
- input
- Specifies the name of a local file to be transfered to the
server. If specified as NULL file data will be read from stdin.
- path
- Specifies the name to be given to the file on the remote
system.
- mode
- Specifies the transfer mode as FTPLIB_ASCII or
FTPLIB_IMAGE.
- nControl
- A handle returned by FtpConnect().
DESCRIPTION
FtpPut() transfers a local file to the remote system.
RETURN VALUE
Returns 1 if successful or 0 on error.


This is the world famous corona virus update app using angular-JS. This is made by Mr. Dhruba Roka. You can see the total world data of coronavirus infected cases, death cases, recovered cases. And you can also see the specific country data by entering the country name.


If you'd like to contribute to one of our projects, you'll need to accept our CLA. To do that, all you need to do is create your pull request - once it's open, you'll be asked to sign it automatically. Simply click the button in the comment created for you, and you'll be on your way!
This CLA is based upon the GitHub CLA, which you can find here: https://cla.github.com/agreement
The following terms are used throughout this agreement:
Subject to the terms and conditions of this agreement, You grant to the Projects' maintainers, contributors, users and to the Glowstone Project a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute Your contributions and such derivative works. Except for this license, You reserve all rights, title, and interest in your contributions.
Subject to the terms and conditions of this agreement, You grant to the Projects' maintainers, contributors, users and to the Glowstone Project a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer your contributions, where such license applies only to those patent claims licensable by you that are necessarily infringed by your contribution or by combination of your contribution with the project to which this contribution was submitted.
If any entity institutes patent litigation - including cross-claim or counterclaim in a lawsuit - against You alleging that your contribution or any project it was submitted to constitutes or is responsible for direct or contributory patent infringement, then any patent licenses granted to that entity under this agreement shall terminate as of the date such litigation is filed.
Your contribution is either your original creation, based upon previous work that, to the best of your knowledge, is covered under an appropriate open source license and you have the right under that license to submit that work with modifications, whether created in whole or in part by you, or you have clearly identified the source of the contribution and any license or other restriction (like related patents, trademarks, and license agreements) of which you are personally aware.
You hereby pledge to all developers, distributors and users of the Contribution to which this agreement applies that your Contribution does not contain any content (code or otherwise) copied from, inspired by or based upon any of the following:
You may, however, include any of the following:


A passionate individual with an eye for coding and data science. Currently an amateur developer looking to gain skills and eventual expertise both in software development and data science through means of self-learning.
My Current Skillset:
Python
HTML5
CSS
SQL (MySQL)
Microsoft Excel
Data Analysis & Visualization
Currently Learning:
Javascript
php
Bootstrap
jQuery
Node JS
Java
R
Machine Learning
Tableau
Bash Scripting
Projects:
In the Works:
Automatic Amazon Price Checker
A tool that checks Amazon every morning for any updates in pricing for specific items of interest. If a change in price is noted; price is lowered, then an email is sent to the user notifying them of this change.


"A Goal Without a Plan is Just a Dream."
- Antoine de Saint-Exupery
Brandon is a hard working individual with a passion for overcoming challenges whether that be intellectual, mental, or physical. A graduate from the University of Oregon, and currently pursuing the ability to code, Brandon seaks endeavors that promote self-growth & development. Brandon's ideology around challenging himself and others to be the greatest rendition of themselves, is what drives him through life.
A few of his most CURRENT projects include:
After being thrust into the world post-college, Brandon landed a job in sales and quickly discovered the working world was not all rainbows and butterflies.
After two years working in a stressful environment, he decided it was time to make a change. Brandon identified a few different paths he could transverse, and after careful consideration, set his sights on learning how to code.
Coding makes up the building blocks of our modern day world. Harnessing his inner creativity, Brandon saw this not only as an evolving field, but an opportunity to cultivate a better tomorrow.


Subtitle
Try each font free for 1 hour. No credit card required.
$14.99
Billed monthly. Unlimited access to everything in the library.
Or save by paying annual or triennial
Our team UI grows with your team – from 3 to 3,000 designers.
Flexible billing terms with low commitment. Cancel your plan any time.


Dollarsar Exchange Rate Converter
Sorry. The application cannot connect to the data source right now. Sorry for the inconveniences.Please Try Again Later.
Buy
Sell
{{ currency.bank_name }}
Reset
USD
SGD
EUR
{{ accounting.formatMoney(mmkAmount, "") }}
MMK
Last Updated
{{ moment(bank.time).fromNow() }}


Managing Search Results
Once you begin searching for places and listings and
have learned how to save them, you can learn about:
Search Results Basics
This section covers the basic search results features not covered in Finding Places and Directions.
- Matching search results are displayed in the 3D viewer with an icon to mark the
search. The alphabetical icons next to each result corresponds to its matching item in
the search list view for easy cross reference. By default, only the most recent search is
turned on in the 3D viewer, but you can turn on the icon for any search result by
selecting its check box in the search list view. You can turn on the display for entire
search results by selecting that search folder's check box.
- You can also delete the entire contents of a search result by right-clicking (CTRL
click on the Mac) on the folder and selecting Delete Contents from the pop-up
menu.
- You can perform the same operations on search results and their folders that you
would for any item in your Places panel, including organizing, touring,
deleting, and editing.
- You can search for content created by Google Earth and Maps users. This KML-based content offers some of the most exciting material you can see
in Google Earth. To search for user content, navigate to an appropriate location and
search. User content appears at the bottom of your search results in a folder entitled
Web Results and in the 3D viewer as blue markers (see below).
Clearing Search Results
To clear search results, click on the Clear button at the bottom of the search
results listing. This removes all search results from both the listing and the 3D view
except for those that have been saved to the My Places folder.
Printing Search Results
You can print all results from your search by clicking on the Printable view
link in the search results window. When you do this, the Google Maps web window appears
at the bottom of the screen, and you can click on the Print button on that web
page to print your search results.
Viewing Many Results
Oftentimes a search over a category in a metropolitan area returns many results all
crowded in a small region. Sometimes, a label appears next to one icon, but not another,
or a group of icons has no label, or one icon overlaps another one. Follow the guidelines for tuning the display on Points of Interest in
order to resolve common issues with numerous search results.


Why you should choose Tabadol
Tabadol is one of the most direct to the point web apps, we offer many things that no one offers
Tabadol is social media app, it provides a secure, safe and easy to use environment where the usere are able to do: where users can connect with each other, exchange experiences, teach their skill, and exchange products they have
In Tabadol we don't accept money because our users don't buy or sell stuff, it is all about exchange
In Tabadol we belive that when you teach someone something you know it will sharpen your mind and empower the skill you teach. in addition to that it will gives you back a new skill by exchange. This makes our users highly skilled and improve their communication skills.
We also belive that every thing matters, your old mobile phone or an old antique it may worth more for someone else.
Tabadol is one of the most direct to the point web apps, we offer many things that no one offers
In tabadol we belive that ads are distrcting and prevent the users from having sommthly experince using our website, in addition to that it is completly free.
In Tabadol you don't need to pay money to get things, you can pay with your experince, skills and products you may don't need them anymore
In tabadol you can feel that you are using one of your favorite social media apps, where you you can follow users, and get follow back, see there posts and may be communicate with each other.
In tabadol, you can exchange anything with anything as long as the two parties on agree.
Here are some of the products and services that you can exchange on Tabadol...
The great team behind this project
Code is like humor. When you have to explain it, it’s bad.
Simplicity is the soul of efficiency.
Experience is the name everyone gives to their mistakes
Programming isn't about what you know; it's about what you can figure out.
Tabadol is free and always will be...
Here are the most Frequently Asked Questions that you may need to know
Go to Tabadol page, click on add post button, fill in the form with information about the service/ product you have, then click add post button.
In Myprofile page you will be able to the sent, received and accepted offers offers, just by clicking on the button that named accordingly
To edit a post, go to Myprofile page where you will see the all posts you had posted, click edit on the post needs update, update the information then click update.
You can send us the username of the user that misbehaves as a feed back, sending an email with a screenshot as an evidence will make it fast to make the desision with that user.
Want to get in touch? We would love to hear from you. Here how you can reach us...
The Boulevard Amman-Jordan
<EMAIL_ADDRESS>0789976540


Shopping centre ATM smashed in early morning ram raid
by Ross and JohnAn ATM has been ram raided at a shopping centre in Melbourne’s outer south-east this morning.
Police are investigating the attempted theft at Cranbourne East’s Hunt Club Village Shopping Centre.
Two male offenders attempted to break open the ATM at the Linsell Road shopping centre by driving a white SUV into the machine at about 4am.
The men were unsuccessful, and drove away empty handed, leaving carnage behind.
Anyone with information is urged to contact Crime Stoppers on 1800 333 000 or file a confidential report at crimestoppersvic.com.au


enum class ErrorResponses
An enum of responses that are returned in Dispatched ERROR
Responses, as they're written here.
This means that, for example, if you tried to set the volume of a player to -5, an ERROR
event would be
dispatched (as in wrapped in a Dispatch Response and sent back) in response with the value being
"VOLUME_OUT_OF_BOUNDS".
Author
Sam Pritchard
Since
1.1.0
|
Returned if no track was playing upon an attempt to update it (i.e seeking). |
|
|
Returned if the currently playing track isn't seekable upon attempting to seek. |
|
|
Returned if an attempt was made to seek to a position below 0 or longer than the duration of the track. |
|
|
Returned if an attempt was made to set the volume to below 0 or above 1000. |
|
|
Returned if an attempt was made to update a non-existent player (before initializing). |
|
|
Returned if an attempt was made to initialize an already-initialized player. |
|
|
Returned if an attempt was made to pause a player if it is already paused. |
|
|
Returned if an attempt was made to resume a player if it has already been resumed. |
|
|
Returned if, for some reason, the internal SocketContext associated with the WebSocket Connection is |


{% extends "frontend/base.html" %} {% block content %} Your item has been added - placeholder {% endblock %}


Loading...
Loading.........
Status:
Start Worker
Stop Worker
Note:
Internet Explorer 9 and earlier versions do not support Web Workers.


MARTY McSLEEVES
The temperature in your area is
° F.
What would you like to do?
Roll
Up
Roll
Down
Climate
Control


Proceed to the end of the track without hitting the obstacles.
You need a keyboard to run the test: use A and D keys to move.
Time 0
Speed 0


All Light Blue charts are based on amazing D3.js library. Here is what D3 says about itself:
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
So it means that graphs are drawn with standard SVG and styled with CSS. You can customize all you like with techniques you already know.
There are two libraries used in Light Blue which work on top of D3.js:
Top sources is a nvd3's pie chart with a little bit of custom code which can be simply reused (stats.js).
It depends on following files:
lib/nvd3/nv.d3.custom.js lib/nvd3/src/models/pie.js lib/nvd3/src/models/legend.js lib/nvd3/src/models/pieChartTotal.js
Bar Chart is based on nvd3's multi-bar chart.
It depends on following files:
lib/nvd3/nv.d3.custom.js lib/nvd3/src/models/axis.js lib/nvd3/src/models/legend.js lib/nvd3/src/models/multiBar.js lib/nvd3/src/models/multiBarChart.js
Stacked Chart is based on nvd3's stacked area chart.
It depends on following files:
lib/nvd3/nv.d3.custom.js lib/nvd3/src/models/axis.js lib/nvd3/src/models/legend.js lib/nvd3/src/models/stackedArea.js lib/nvd3/src/models/stackedAreaChart.js
Line Chart is based on nvd3's stacked area chart.
It depends on following files:
lib/nvd3/nv.d3.custom.js lib/nvd3/src/models/axis.js lib/nvd3/src/models/legend.js lib/nvd3/src/models/line.js lib/nvd3/src/models/lineChart.js


DEMON KNIGHT A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 2.8
Date Released: 1/13/95 Running Length: 1:31 Rated: R (Violence, language, nudity)
Starring: William Sadler, Billy Zane, Jada Pinkett, CCH Pounder, Dick Miller, the voice of John Kassir Director: Ernest Dickerson Producer: Gilbert Adler Screenplay: Ethan Reiff & Cyrus Voris & and Mark Bishop Cinematography: Rick Bota Music: Ed Shearmur and Danny Elfman Released by Universal Pictures
As a made-for-HBO television series based on a defunct 1950s comic book, TALES FROM THE CRYPT has had its share of witty, clever, and entertaining episodes. True, the segments invariably tend towards the macabre, but what else would you expect from something with that sort of title? Now, with DEMON KNIGHT, TALES FROM THE CRYPT makes the jump to the big screen (not that this has stopped its pay TV run). For those that don't subscribe to HBO, this may be their first exposure to the Crypt Keeper and his gallery of grotesque stories. Frankly, it's a terrible introduction.
Horror movies are supposed to be scary--or, at the very least, a little shocking. Unfortunately, the only frightening thing about DEMON KNIGHT is that Universal chose to release it. This film is bad. It's not funny, it's not intelligent, and it lacks just about every quality that makes the occasional episode of TALES FROM THE CRYPT worth sitting through.
There isn't much of a plot. At the outset, we're introduced to Brayker (William Sadler), a man on the run. Later, it's revealed that he's some sort of long-lived warrior who fights against the "demons in the darkness", and that his pursuer, an enigmatic entity known only as "the Collector" (Billy Zane), is an agent of evil. This sets up the latest battle in the never-ending spiritual struggle.
The setting is a gothic boarding house (or boring house, if you prefer). There, the few inhabitants become involved in the nightmarish turn of events.  One way or another, these characters are sucked into the confrontation between Brayker and the Collector.
DEMON KNIGHT's special effects are passable, but the same can't be said of the work done by the makeup artists . Blood, gore, and various ghastly wounds all look especially cheesy, and the supposedly-horrifying demons are reminiscent of a cross between SPITTING IMAGE puppets and refugees from the ALIEN movies.
There are occasions when Pinkett and Zane almost make this film worth watching. These two appear to be enjoying themselves, and their sense of fun is infectious. It doesn't last long, though. Energy and enthusiasm can't sustain this sort of mess.
Since TALES FROM THE CRYPT is a half-hour program, it might have been reasonable to expect the motion picture version to string together three typical episodes. Instead, the producers opted to make a single- story feature. If nothing else, this choice emphasizes a lesson. Good entertainment stretched to three times its natural length is rarely three times better, but bad entertainment dragged out that long will typically be three times worse. In the case of DEMON KNIGHT--which probably doesn't have ten minutes of worthwhile material--such a statement could be regarded as infinitely kind.
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The Wonderland of Git and GitHub
As Bilbo Baggins said in "The Lord of the Rings" film "It's a scary business Frodo..going out your door. You step on to the road, and if you don't keep your feet, there's no knowing where you might be swept off.." When undertaking something as ambitious as computer programming, I am reminded of this quote. Making a decision to leave the comfort of my daily life, and all of the creature comforts that are familiar to me in order to embark on an adventure brings many feelings. Fear. Self doubt. Panic. Those are the negative ones trying to tell you that you are doing something reckless. And yet...there is that other voice that we listened to when we were little. The voice that says "This adventure is going to be wonderful too. And I can't wait."
When starting out on our programming journey, establishing good habits up front is critical. And learning core concepts like version control, and the tools like Git and GitHub to support the concept are important to learn early. Version control allows a programmer to make consistant saves during development, and encourages experimentation with the code due to the freedom of "rolling back" to a prior version. In action, the process is like making a series of "saves" to a Word document. If a mistake is made, simply disregard this version of the document and open the previous save to continue from the last good version.
Where version control provides the process for saving different versions of your code, Git provides the method. With Git, we have a command line tool and repository system that lets us make incremental saves, and a robust set of tools that allow us to work on individual versions of specific code files. Created by coding legend Linus Torvalds, Git was originally designed for open source coders to work on different "branches" of code for the Linux operating system. Using Git, a programmer can "clone" a piece of code locally, make modifications and "push" these updated "commits" back to the master code branch that is being worked on. As you can see, Git provides a nice way for a group of programmers to coordinate their work on a shared project.
This leaves the final piece: GitHub. As the name implies, GitHub provides a shared social space where programmers can share a "Hub" of code branches. These branches are then merged in a master branch. As the code evolves, each of the developers can fetch the latest changes to the "master branch" which serves as the source of truth in the project.


- Please read the annotation guideline carefully.
- In the following stage, you will need to annotate if the sentences meet the rules.
-
The guideline helps to classify an example sentence that is not "good" for the language learners.
If a sentence contains any of the following characteristics, then it is not an acceptable example sentence for English learners.
Condition 1: Suitability
1. The blank can be filled with either word in the word set while the sentence is still logical.
Key wordpair: accessible / available
They are attempting to make operate _____ (accessible / available) to a wider audience.
2. The blank can with multiple possible candidates not limited to the word set.
Key wordpair: abrupt / harsh
I was poorly received and the general tone of the person assisting me was rude and _____ (harsh / unpleasant / ......).
3. Rare usage or secondary meaning.
Keyword: becoming
Her dress was becoming and made her look even more beautiful.
Keyword: tiny
After his marriage his tiny sculptures became larger, but the larger they grew, the thinner they became.
Condition 2: Informative
1. Lacks the information to guess the meaning of the keyword.
Keyword: skilled
It and its English derivative "s" thus describe people who are skilled at dining, particularly the refined conversation expected to accompany Greek symposia.
Sentence with useful information that helps to predict the meaning of the keyword:
In the sourcebooks, they are often referred to as cunning shapeshifters, skilled fighters, and capable generals.
2. Long and does not add any useful information to help to guess the meaning of the keyword.
Keyword: accountability
Security issues have been categorised into sensitive data access, data segregation, privacy, bug exploitation, recovery, accountability, malicious insiders, management console security, account control, and multi-tenancy issues.
3. Requires background knowledge to understand the sentence.
Keyword: responsibility
External and offensive counter-intelligence, counter-terrorism, and some direct action is the general responsibility of Mossad, although military units will carry out specific counterterrorism actions.
Keyword: achievement
Article 56 requires members to "take joint and separate action in cooperation with the Organization for the achievement of the purposes set forth in Article 55."
Condition 3: Diversity
When classifying acceptable/ unacceptable example sentences, please consider diversity and phrase usage.
1. Similar word usage should only appear once. Only choose one when there are multiple sentences with the similar word usage.
keyword: little
After founding the Institute he had little time for composing, and appears to have concentrated exclusively on teaching.
When she finds out the truth, she makes a fateful decision to make the most of the little time they have together.
2. Similar phrase usage should only appear once. Only choose one when there are multiple sentences with the similar phrase usage.
keyword: real
The normal distribution is symmetric about its mean, and is non-zero over the entire real line.
For example, consider formula_32 and formula_33, the infinite direct product and direct sum of the real numbers.
Condition 4: Sentence Complexity
1. Contains more than two complex modifiers, such as clauses, prepositional phrases, Infinitive phrases, Participle phrases, etc.
The methods that a community devises to perpetuate itself come into being to preserve aspects of cultural legacy that the community perceives as essential.
2. Complex appositive.
Moreover, I can feel strong emotion in response to objects of art that are interpretations, rather than representations, or reality.
Condition 5: Lexical Complexity
1. Wrong part of speech.
key wordpair: elder/ elderly -> adj pair
The Rumbia's leaves can be woven into a roof, the women are trained by their elders (women) to inherit the rumbia-weaving skill.
2. Too many acronyms.
Keyword: briefly
Between 2010 and 2014, PSYOP was renamed Military Information Support Operations (MISO), then briefly renamed PSYOP in Aug 2014, only to return to MISO shortly thereafter in 2015.
3. Too many proper nouns.
Keyword: former
It was inspired by BBI's original "Mystery Science Theater 3000" TV series, and was directed by former Executive Producer Jim Mallon.
* Avoid proper noun that changes the meaning of the keyword.
-
Please determine whether the sentence is good for learner to differentiate elder and senior.
-
Select 3 sentences for elder and 3 sentences for senior
according to the annotated condition [Accept / Suitability / Informative / Diversity / Sentence Complexity / Lexical Complexity].
-
The Accept sentence should be better for learners.
-
If there are more than 3 acceptable sentences, please consider the usefulness for language learners.
-
You can relax the condition if there are less than 3 acceptable sentences.
But please follow the order [Lexical Complexity] -> [Sentence Complexity] -> [Diversity] -> [Informative] -> [Suitability].
-
For example, if there are less than 3 acceptable sentences, treat [Lexical Complexity] as an acceptable condition.
By doing so, if there are still less than 3 acceptable sentences, treat [Sentence Complexity] as an acceptable condition.
elder - ( 0 )
Born in Biloxi, Mississippi, the elder son of Daniel Dicks Guice Sr., who served as Mayor of Biloxi and was a member of the Mississippi House of Representatives.
Come to me as your elder brother, (or) even as your father and together we can make this land great once more in history."
Eventually, the elder brother quits in frustration and surrenders his nose and ears to the Gentleman, returning to Sakchulee in defeat.
Following the beheading of Leonello's elder brother by his father, the heir of the throne to Ferrara was vacant.
He was born in Mitcham as the youngest of four brothers who all played first-class cricket: John, Thomas and William Humphrey being his elder brothers.
His elder siblings Jane and William were born in Ulster before the family's flight from Ireland in 1839.
She became heir to the throne of Navarre on the death of her elder sister, Joan, in 1413.
Some elders nevertheless joined, calling over neighbours to show support and a few dozen people eventually joined the procession.
The Rumbia's leaves can be woven into a roof, the women are trained by their elders (women ) to inherit the rumbia-weaving skill.
The elder Fish (1888-1991), himself a staunch Republican, served in Congress from the Hudson Valley from 1920-1945.
senior - ( 0 )
A senior official with the Salem division says if the revival of an old line can bring about so many benefits, it can be considered.
Born in Alicante, Valencian Community, Candela graduated with Villarreal CF's youth setup, and made his senior debuts with the C-team in the 2011–12 campaign, in Tercera División.
Brigadier Thomas Henry Scott Galletly DSO&bar MC (23 August 1905 - 5 April 1972) was a senior officer in the British Army during World War II.
He recorded 92 tackles, five interceptions, one sack and two forced fumbles his senior season, earning First team All-Big Ten as well as Academic All-Big Ten honors.
He was married to "Time" senior editor Charlotte Greensit, whom he met while stationed in London.
In 2006, Topić was proposed as a candidate for a senior management position at the World Intellectual Property Organization (WIPO).
In 2015, Ana Luiza made her senior international debut competing at the 2015 Moscow Grand Prix finishing 23rd in the all-around.
On 8 June 2015 in Winnipeg, Canada, Oshoala opened her senior FIFA Women's World Cup account by scoring Nigeria's second goal in a 3–3 draw with Sweden.
Patrick Elliott, senior curator at the Scottish National Gallery of Modern Art, described the purchase in 2013 of some of Lucas's works of this period as follows:
Thomas Clancy (born 13 February 1992) is an Irish Gaelic footballer who plays as a centre-back for the Cork senior team.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
These vegetarian leek and cheese sausages are delicious and full of flavour. Perfect comfort food.
For the sausages, melt the butter in a large non-stick frying pan and fry the leek gently for 8-10minutes, or until very soft but not coloured.
Put 100g/3½oz of the breadcrumbs, the parsley, thyme and cheese in a large mixing bowl and mix until well combined. Beat the egg yolks with the mustard, salt and plenty of freshly ground black pepper in a separate bowl.
Remove the frying pan from the heat and tip the leeks into the bowl with the breadcrumbs. Add the egg yolks and mix together well with a large wooden spoon until well combined. Divide the leek mixture into eight portions and roll into sausage shapes. Place the sausages onto a tray lined with clingfilm.
Whisk the egg whites lightly in a bowl with a large metal whisk until just frothy. Sprinkle 40g/1½oz breadcrumbs over a large plate. Dip the sausages one at a time into the beaten egg and roll in the breadcrumbs until evenly coated, then place on the baking tray. Chill the sausages in the fridge for 30 minutes.
Meanwhile, for the relish, heat the oil in a large non-stick saucepan and fry the onions for 20 minutes, or until very soft and just beginning to colour. Add the chilli and garlic to the pan and cook for a further five minutes, stirring regularly.
Sprinkle with the sugar and pour over the vinegar. Bring to a simmer and cook for five further minutes, or until the liquid is well reduced and the relish becomes thick and glossy. Remove from the heat, set aside to cool for a few minutes then tip into a serving dish.
Heat the oil into a large non-stick frying pan and fry the sausages over a medium heat for 10-12 minutes, turning regularly until golden-brown and crisp. Serve the sausages with a good spoonful of chilli and onion relish and some thinly sliced runner beans.


The entire universe is made of energy, and your body is no exception. The 7 chakras play an important role in the balance and health of our bodies. Long before modern technology and science, ancient cultures knew that all living things carried a life force with them. They called the centers of energy that moved inside of us the 7 chakras.
Yoga is an internal journey of self-discovery, an opportunity to connect with your true self on a deeper level. At its core, it is about developing a deep reverence and pure love for your body temple as it houses your conscious spirit. In this way yoga is a beautiful practice for those who suffer from low self-esteem, anxiety and depression as it slowly and lovingly allows a holistic way to heal these emotions from the inside out.
The most basic way to do mindful breathing is simply to focus your attention on your breath, inhale and exhale. You can do this while standing, but ideally you’ll be sitting or even lying in a comfortable position. Your eyes may be open or closed, but you may find it easier to maintain your focus if you close your eyes. It can help to set aside a designated time for this exercise, but it can also help to practice it when you’re feeling particularly stressed or anxious.
Meditation is a practice where an individual uses a technique – such as mindfulness, or focusing the mind on a particular object, thought or activity – to train attention and awareness, and achieve a mentally clear and emotionally calm and stable state.


Donald Trump on Impeachment: Clinton Was Guilty, 'I Did Nothing Wrong'
President Donald Trump dismissed Thursday the idea he deserved impeachment, claiming he did not commit an impeachable offense unlike former presidents Bill Clinton and Richard Nixon.
by Charlie Spiering“Everybody knows I did nothing wrong. Bill Clinton did things wrong; Richard Nixon did things wrong. I won’t go back to [Andrew] Johnson because that was a little before my time,” Trump said. “But they did things wrong. I did nothing wrong.”
The president made his remarks in an interview with the Washington Examiner on Thursday.
“Clinton was different. He was guilty,” Trump said. “This is a simpler case than his.”
Democrats believe Trump withheld military aid to Ukraine in order to pressure leaders to investigate Vice President Joe Biden and his son Hunter Biden, which was an impeachable defense.
But Trump said he had an obligation to examine corruption in Ukraine before giving them financial and military aid.
“We are giving them money, we are giving them weapons,” he said. “We have an obligation to look at corruption.”
Trump suggested that Democrats were overstepping their authority and were out of line with the public mood.
“I did nothing wrong, and for them to do this is a disgrace,” he said.
Trump said that impeachment would only rally his political base.
“It’s energized my base like I’ve never seen before,” he said.


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24-Hour Time Picker
This is the default time picker setting.
12-Hour Time Picker
Set [meridian]="true"
to use a 12-hour clock.
Time Picker Without Seconds
Use [displaySeconds]=false
to turn off seconds for the time picker.
Disabled Time Picker
Set [disabled]="true"
to disable the time picker.
Compact Time Picker
Set [compact]="true"
to use compact time-picker.
Null Validity
Null input values are considered valid by default. Use [allowNull]="false"
to make them
invalid.
Formating
Providing a custom format for time is possible through providing service
Time Picker in Form
The time-picker component may also be used together with Angular reactive forms.


Lesson 1
00:00:01 Welcome to Part 1, Version 2 of “Practical Deep Learning for Coders”,
Check the Fastai community for help on setting up your system on “forums.fast.ai”
00:02:11 The “Top-Down” approach to study, vs the “Bottom-Up”,
Why you want a nVidia GPU (Graphic Processing Unit = a video card) for Deep Learning
00:04:11 Use crestle.com if you don’t have a PC with a GPU.
00:06:11 Use paperspace.com instead of crestle.com, for faster and cheaper GPU computing. Technical hints to make it work with a Jupyter Notebook.
00:12:30 Start with Jupyter Notebook lesson1.ipynb ‘Dogs vs Cats’
00:20:20 Our first model: quick start.
Running our first Deep Learning model with the ‘resnet34’ architecture, epoch, accuracy on validation set.
00:24:11 “Analyzing results: looking at pictures” in lesson1.ipynb
00:30:45 Revisiting Jeremy & Rachel’s approach of “Top-Down vs Bottom-Up” teaching philosophy, in details.
00:33:45 Explaining the “Course Structure” of Fastai, with a slide showing its 8 steps.
Looking at Computer Vision, then Structured Data (or Time Series) with the Kaggle Rossmann Grocery Sales competition, then NLP (Natural Language Processing), then Collaborative Filtering for Recommendation Systems, then Computer Vision again with ResNet.
00:44:11 What is Deep Learning ? A kind of Machine Learning.
00:49:11 The Universal Approximation Theorem, and examples used by Google corporation.
00:58:11 More examples using Deep Learning, as shown in the PowerPoint from Jeremy course in ML1 (Machine Learning 1)
What is actually going on in a Deep Learning model, with convolutional network.
01:02:11 Adding a Non-Linear Layer to our model, sigmoid or ReLu (rectified linear unit), SGD (Stochastic Gradient Descent)
01:08:20 A paper on “Visualizing and Understanding Convolutional Networks”, implementation on ‘lesson1.ipynb’, ‘cyclical learning rates’ with Fastai library as “lr_find” or learning rate finder.
Why it starts training a model but stops before 100%: use Learner Schedule Finder.
01:21:30 Why you need to use Numpy and Pandas libraries with Jupyter Notebook: hit ‘TAB’ for more info, or “Shift-TAB” once or twice or thrice (three times) to bring up the documentation for the code.
Enter ‘?’ before the function, or ‘??’ to look at the code in details.
01:24:40 Using the ‘H’ shortcut in Jupyter Notebook, to see the Keyboard Shortcuts.
01:25:40 Don’t forget to turn off your session in Crestle or Paperspace, or you end up being charged.
Lesson 2
00:01:01 Lesson 1 review, image classifier,
PATH structure for training, learning rate,
what are the four columns of numbers in “A Jupyter Widget”
00:04:45 What is a Learning Rate (LR), LR Finder, mini-batch, ‘learn.sched.plot_lr()’ & ‘learn.sched.plot()’, ADAM optimizer intro
00:15:00 How to improve your model with more data,
avoid overfitting, use different data augmentation ‘aug_tfms=’
00:18:30 More questions on using Learning Rate Finder
00:24:10 Back to Data Augmentation (DA),
‘tfms=’ and ‘precompute=True’, visual examples of Layer detection and activation in pre-trained
networks like ImageNet. Difference between your own computer or AWS, and Crestle.
00:29:10 Why use ‘learn.precompute=False’ for Data Augmentation, impact on Accuracy / Train Loss / Validation Loss
00:30:15 Why use ‘cycle_len=1’, learning rate annealing,
cosine annealing, Stochastic Gradient Descent (SGD) with Restart approach, Ensemble; “Jeremy’s superpower”
00:40:35 Save your model weights with ‘learn.save()’ & ‘learn.load()’, the folders ‘tmp’ & ‘models’
00:42:45 Question on training a model “from scratch”
00:43:45 Fine-tuning and differential learning rate,
‘learn.unfreeze()’, ‘lr=np.array()’, ‘learn.fit(lr, 3, cycle_len=1, cycle_mult=2)’
00:55:30 Advanced questions: “why do smoother services correlate to more generalized networks ?” and more.
01:05:30 “Is the Fast.ai library used in this course, on top of PyTorch, open-source ?” and why Fast.ai switched from Keras+TensorFlow to PyTorch, creating a high-level library on top.
PAUSE
01:11:45 Classification matrix ‘plot_confusion_matrix()’
01:13:45 Easy 8-steps to train a world-class image classifier
01:16:30 New demo with Dog_Breeds_Identification competition on Kaggle, download/import data from Kaggle with ‘kaggle-cli’, using CSV files with Pandas. ‘pd.read_csv()’, ‘df.pivot_table()’, ‘val_idxs = get_cv_idxs()’
01:29:15 Dog_Breeds initial model, image_size = 64,
CUDA Out Of Memory (OOM) error
01:32:45 Undocumented Pro-Tip from Jeremy: train on a small size, then use ‘learn.set_data()’ with a larger data set (like 299 over 224 pixels)
01:36:15 Using Test Time Augmentation (‘learn.TTA()’) again
01:48:10 How to improve a model/notebook on Dog_Breeds: increase the image size and use a better architecture.
ResneXt (with an X) compared to Resnet. Warning for GPU users: the X version can 2-4 times memory, thus need to reduce Batch_Size to avoid OOM error
01:53:00 Quick test on Amazon Satellite imagery competition on Kaggle, with multi-labels
01:56:30 Back to your hardware deep learning setup: Crestle vs Paperspace, and AWS who gave approx $200,000 of computing credits to Fast.ai Part1 V2.
More tips on setting up your AWS system as a Fast.ai student, Amazon Machine Image (AMI), ‘p2.xlarge’,
‘aws key pair’, ‘ssh-keygen’, ‘id_rsa.pub’, ‘import key pair’, ‘git pull’, ‘conda env update’, and how to shut down your $0.90 a minute with ‘Instance State => Stop’
Lesson 3
00:00:05 Cool guides & posts made by Fast.ai classmates
tmux, summary of lesson 2, learning rate finder, guide to Pytorch, learning rate vs batch size,
decoding ResNet architecture, beginner’s forum
00:05:45 Where we go from here
00:08:20 How to complete last week assignement “Dog breeds detection”
00:08:55 How to download data from Kaggle (Kaggle CLI) or anywhere else
00:12:05 Cool tip to download only the files you need: using CulrWget
00:13:35 Dogs vs Cats example
00:17:15 What means “Precompute = True” and “learn.bn_freeze”
00:20:10 Intro & comparison to Keras with TensorFlow
00:30:10 Porting PyTorch fast.ai library to Keras+TensorFlow project
00:32:30 Create a submission to Kaggle
00:39:30 Making an individual prediction on a single file
00:42:15 The theory behind Convolutional Networks, and Otavio Good demo (Word Lens)
00:49:45 ConvNet demo with Excel,
filter, Hidden layer, Maxpool, Dense weights, Fully-Connected layer
01:08:30 ConvNet demo with Excel (continued)
output, probabilities adding to 1, activation function, Softmax
01:15:30 The mathematics you really need to understand for Deep Learning
Exponentiation & Logarithm
01:20:30 Multi-label classification with Amazon Satellite competition
01:33:35 Example of improving a “washed-out” image
01:37:30 Seting different learning rates for different layers
01:38:45 ‘data.resize()’ for speed-up, and ‘metrics=[f2]’ or ‘fbeta_score’ metric
01:45:10 ‘sigmoid’ activation for multi-label
01:47:30 Question on “Training only the last layers, not the initial freeze/frozen ones from ImageNet models”
‘learn.unfreeze()’ advanced discussion
01:56:30 Visualize your model with ‘learn.summary()’, shows ‘OrderedDict()’
01:59:45 Working with Structured Data “Corporacion Favorita Grocery Sales Forecasting”
Based on the Rossman Stores competitition
02:05:30 Book: Python for Data Analysis, by Wes McKinney
02:11:50 We save the dataframe with ‘Joined.to_feather()’ from Pandas, use ‘df = pd.read_feather()’ to load.
02:13:30 Split Rossman columns in two types: categorical vs continuous
Lesson 4
00:00:04 More cool guides & posts made by Fast.ai classmates
"Improving the way we work with learning rate", “Cyclical Learning Rate technique”,
“Exploring Stochastic Gradient Descent with Restarts (SGDR)”, “Transfer Learning using differential learning rates”, “Getting Computers to see better than Humans”
00:03:04 Where we go from here: Lesson 3 -> 4 -> 5
Structured Data Deep Learning, Natural Language Processing (NLP), Recommendation Systems
00:05:04 Dropout discussion with “Dog_Breeds”,
looking at a sequential model’s layers with ‘learn’, Linear activation, ReLu, LogSoftmax
00:18:04 Question: “What kind of ‘p’ to use for Dropout as default”, overfitting, underfitting, ‘xtra_fc=’
00:23:45 Question: “Why monitor the Loss / LogLoss vs Accuracy”
00:25:04 Looking at Structured and Time Series data with Rossmann Kaggle competition, categorical & continuous variables, ‘.astype(‘category’)’
00:35:50 fastai library ‘proc_df()’, ‘yl = np.log(y)’, missing values, ‘train_ratio’, ‘val_idx’. “How (and why) to create a good validation set” post by Rachel
00:39:45 RMSPE: Root Mean Square Percentage Error,
create ModelData object, ‘md = ColumnarModelData.from_data_frame()’
00:45:30 ‘md.get_learner(emb_szs,…)’, embeddings
00:50:40 Dealing with categorical variables
like ‘day-of-week’ (Rossmann cont.), embedding matrices, ‘cat_sz’, ‘emb_szs’, Pinterest, Instacart
01:07:10 Improving Date fields with ‘add_datepart’, and final results & questions on Rossmann, step-by-step summary of Jeremy’s approach
01:20:10 More discussion on using Fast.ai library for Structured Data.
01:23:30 Intro to Natural Language Processing (NLP)
notebook ‘lang_model-arxiv.ipynb’
01:31:15 Creating a Language Model with IMDB dataset
notebook ‘lesson4-imdb.ipynb’
01:31:34 Question: “So why don’t you think that doing just directly what you want to do doesn’t work better?” (referring to the pre-training of a language model before predicting whether a review is positive or negative)
01:33:09 Question: “Is this similar to the char-rnn by karpathy?”
01:39:30 Tokenize: splitting a sentence into an array of tokens
01:43:45 Build a vocabulary ‘TEXT.vocab’ with ‘dill/pickle’; ‘next(iter(md.trn_dl))’
The rest of the video covers the ins and outs of the notebook ‘lesson4-imdb’, don’t forget to use ‘J’ and ‘L’ for 10 sec backward/forward on YouTube videos.
02:11:30 Intro to Lesson 5: Collaborative Filtering with Movielens
Lesson 5
00:00:01 Review of students articles and works
“Structured Deep Learning” for structured data using Entity Embeddings,
“Fun with small image data-sets (part 2)” with unfreezing layers and downloading images from Google,
“How do we train neural networks” technical writing with detailed walk-through,
“Plant Seedlings Kaggle competition”
00:07:45 Starting the 2nd half of the course: what’s next ?
MovieLens dataset: build an effective collaborative filtering model from scratch
00:12:15 Why a matrix factorization and not a neural net ?
Using Excel solver for Gradient Descent ‘GRG Nonlinear’
00:23:15 What are the negative values for ‘movieid’ & ‘userid’, and more student questions
00:26:00 Collaborative filtering notebook, ‘n_factors=’, ‘CollabFilterDataset.from_csv’
00:34:05 Dot Product example in PyTorch, module ‘DotProduct()’
00:41:45 Class ‘EmbeddingDot()’
00:47:05 Kaiming He Initialization (via DeepGrid),
sticking an underscore ‘_’ in PyTorch, ‘ColumnarModelData.from_data_frame()’, ‘optim.SGD()’
Pause
01:00:30 Improving the MovieLens model in Excel again,
adding a constant for movies and users called “a bias”
01:02:30 Function ‘get_emb(ni, nf)’ and Class ‘EmbeddingDotBias(nn.Module)’, ‘.squeeze()’ for broadcasting in PyTorch
01:06:45 Squeashing the ratings between 1 and 5, with Sigmoid function
01:12:30 What happened in the Netflix prize, looking at ‘column_data.py’ module and ‘get_learner()’
01:17:15 Creating a Neural Net version “of all this”, using the ‘movielens_emb’ tab in our Excel file, the “Mini net” section in ‘lesson5-movielens.ipynb’
01:33:15 What is happening inside the “Training Loop”, what the optimizer ‘optim.SGD()’ and ‘momentum=’ do, spreadsheet ‘graddesc.xlsm’ basic tab
01:41:15 “You don’t need to learn how to calculate derivates & integrals, but you need to learn how to think about the spatially”, the ‘chain rule’, ‘jacobian’ & ‘hessian’
01:53:45 Spreadsheet ‘Momentum’ tab
01:59:05 Spreasheet ‘Adam’ tab
02:12:01 Beyond Dropout: ‘Weight-decay’ or L2 regularization
Lesson 6
00:00:10 Review of articles and works
"Optimization for Deep Learning Highlights in 2017" by Sebastian Ruder,
“Implementation of AdamW/SGDW paper in Fastai”,
“Improving the way we work with learning rate”,
“The Cyclical Learning Rate technique”
00:02:10 Review of last week “Deep Dive into Collaborative Filtering” with MovieLens, analyzing our model, ‘movie bias’, ‘@property’, ‘self.models.model’, ‘learn.models’, ‘CollabFilterModel’, ‘get_layer_groups(self)’, ‘lesson5-movielens.ipynb’
00:12:10 Jeremy: “I try to use Numpy for everything, except when I need to run it on GPU, or derivatives”,
Question: “Bring the model from GPU to CPU into production ?”, move the model to CPU with ‘m.cpu()’, ‘load_model(m, p)’, back to GPU with ‘m.cuda()’, ‘zip()’ function in Python
00:16:10 Sort the movies, John Travolta Scientology worst movie of all time “Battlefield Earth”, ‘key=itemgetter()jj’, ‘key=lambda’
00:18:30 Embedding interpration, using ‘PCA’ from ‘sklearn.decomposition’ for Linear Algebra
00:24:15 Looking at the “Rossmann Retail / Store” Kaggle competition with the ‘Entity Embeddings of Categorical Variables’ paper.
00:41:02 “Rossmann” Data Cleaning / Feature Engineering, using a Test set properly, Create Features (check the Machine Learning “ML1” course for details), ‘apply_cats’ instead of ‘train_cats’, ‘pred_test = m.predict(True)’, result on Kaggle Public Leaderboard vs Private Leaderboard with a poor Validation Set. Example: Statoil/Iceberg challenge/competition.
00:47:10 A mistake made by Rossmann 3rd winner, more on the Rossmann model.
00:53:20 “How to write something that is different than Fastai library”
PAUSE
00:59:55 More into SGD with ‘lesson6-sgd.ipynb’ notebook, a Linear Regression problem with continuous outputs. ‘a*x+b’ & mean squared error (MSE) loss function with ‘y_hat’
01:02:55 Gradient Descent implemented in PyTorch, ‘loss.backward()’, ‘.grad.data.zero_()’ in ‘optim.sgd’ class
01:07:05 Gradient Descent with Numpy
01:09:15 RNNs with ‘lesson6-rnn.ipynb’ notebook with Nietzsche, Swiftkey post on smartphone keyboard powered by Neural Networks
01:12:05 a Basic NN with single hidden layer (rectangle, arrow, circle, triangle), by Jeremy,
Image CNN with single dense hidden layer.
01:23:25 Three char model, question on ‘in1, in2, in3’ dimensions
01:36:05 Test model with ‘get_next(inp)’,
Let’s create our first RNN, why use the same weight matrices ?
01:48:45 RNN with PyTorch, question: “What the hidden state represents ?”
01:57:55 Multi-output model
02:05:55 Question on ‘sequence length vs batch size’
02:09:15 The Identity Matrix (init!), a paper from Geoffrey Hinton “A Simple Way to Initialize Recurrent Networks of Rectified Linear Units”
Lesson 7
00:03:04 Review of last week lesson on RNNs,
Part 1, what to expect in Part 2 (start date: 19/03/2018)
00:08:48 Building the RNN model with ‘self.init_hidden(bs)’ and ‘self.h’, the “back prop through time (BPTT)” approach
00:17:50 Creating mini-batches, “split in 64 equal size chunks” not “split in chunks of size 64”, questions on data augmentation and choosing a BPTT size, PyTorch QRNN
00:23:41 Using the data formats for your API, changing your data format vs creating a new dataset class, ‘data.Field()’
00:24:45 How to create Nietzsche training/validation data
00:35:43 Dealing with PyTorch not accepting a “Rank 3 Tensor”, only Rank 2 or 4, ‘F.log_softmax()’
00:44:05 Question on ‘F.tanh()’, tanh activation function,
replacing the ‘RNNCell’ by ‘GRUCell’
00:47:15 Intro to GRU cell (RNNCell has gradient explosion problem - i.e. you need to use low learning rate and small BPTT)
00:53:40 Long Short Term Memory (LSTM), ‘LayerOptimizer()’, Cosine Annealing ‘CosAnneal()’
01:01:47 Pause
01:01:57 Back to Computer Vision with CIFAR 10 and ‘lesson7-cifar10.ipynb’ notebook, Why study research on CIFAR 10 vs ImageNet vs MNIST ?
01:08:54 Looking at a Fully Connected Model, based on a notebook from student ‘Kerem Turgutlu’, then a CNN model (with Excel demo)
01:21:54 Refactored the model with new class ‘ConvLayer()’ and ‘padding’
01:25:40 Using Batch Normalization (BatchNorm) to make the model more resilient, ‘BnLayer()’ and ‘ConvBnNet()’
01:36:02 Previous bug in ‘Mini net’ in ‘lesson5-movielens.ipynb’, and many questions on BatchNorm, Lesson 7 Cifar10, AI/DL researchers vs practioners, ‘Yann Lecun’ & ‘Ali Rahimi talk at NIPS 2017’ rigor/rigueur/theory/experiment.
01:50:51 ‘Deep BatchNorm’
01:52:43 Replace the model with ResNet, class ‘ResnetLayer()’, using ‘boosting’
01:58:38 ‘Bottleneck’ layer with ‘BnLayer()’, ‘ResNet 2’ with ‘Resnet2()’, Skipping Connections.
02:02:01 ‘lesson7-CAM.ipynb’ notebook, an intro to Part #2 using ‘Dogs v Cats’.
02:08:55 Class Activation Maps (CAM) of ‘Dogs v Cats’.
02:14:27 Questions to Jeremy: “Your journey into Deep Learning” and “How to keep up with important research for practioners”,
“If you intend to come to Part 2, you are expected to master all the techniques in Part 1”, Jeremy’s advice to master Part 1 and help new students in the incoming MOOC version to be released in January 2018.


| Display | Provides the mechanism for getting your pixels up on the screen |
| FloatingPointPixel | Represents a pixel in floating point color mode |
| Key | Identifies a single key on the keyboard |
| Listener | Implement the listener interface and register with a display to receive events |
| Mode | Lets you chose between floating point and truecolor when you open a display |
| Mouse | Describes the current mouse position and the state of the left, right and middle mouse buttons |
| Mouse::Buttons | Indicates which mouse buttons are currently being pressed |
| Output | Lets you chose between fullscreen and windowed when opening a display |
| Timer | A high resolution timer |
| TrueColorPixel | Represents a pixel in truecolor mode |


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io.github.restioson.kettle.api.ClientSidePackage |
Client side logic for content packages should go here
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io.github.restioson.kettle.api.ContentPackage |
Interface for Content Package main classes
Resources should be scheduled to be loaded in the constructor
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io.github.restioson.kettle.api.Kettle |
Interface to describe engine API functions, implemented by io.github.restioson.kettle.Kettle
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io.github.restioson.kettle.api.serialization.KettleBuffer |
Interface for serialization buffers
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io.github.restioson.kettle.api.screen.KettleScreen |
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io.github.restioson.kettle.api.serialization.KettleSerializable |
Interface for classes that can be serialized
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io.github.restioson.kettle.api.Level |
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io.github.restioson.kettle.api.serialization.SerializableComponent |
Interface for components which can be serialized
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io.github.restioson.kettle.api.ServerSidePackage |
Server (& internal Server) side logic for client packages should go here
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io.github.restioson.kettle.api.physics.Units |
Utility object to help with conversion between pixels and metric units
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You may notice that iteration works a little differently here. Rather than arrays of raw values, we are given Row
objects, which can be subscripted with the same expressions we prepared above. This gives us a little more powerful of a mapping to work with and pass around.
Queries can be used and reused, and can quickly return rows, counts and other aggregate values.


UNITED STATES OF AMERICA
Dining
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Putting one’s elbows on the table during a meal is considered rude.
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Americans try to avoid making unnecessary noise when eating, i.e. slurping or smacking. It is bad table manners to chew with your mouth open.
- Toothpicks are not to be used at the table.
- It is customary (although not technically required) to tip 15-20% for a waiter or waitress.
- If you have food leftover at a restaurant it is normal to ask for a take-home bag.
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It is normal to eat anywhere (the movies, the bus, the bathroom) and at any time of day.
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It is not customary to stay at a restaurant table for extended periods of time. Waiters tend to bring the bill right away in order to open the table up.
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Water is free in all restaurants.
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At most restaurants, you must wait to be seated by a host or hostess.
General Do's and Dont's
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Lateness is considered rude. It is customary to call the person you are meeting if you are running late.
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Body odor is strongly looked down on. Almost everyone takes daily showers and uses underarm
deodorant.
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Cars must drive on the right side of the road. Foot traffic loosely follows this rule as well.
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Personal space is highly valued. Do not stand very close to someone when talking and do not touch someone you do not know other than a handshake.
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Do not touch or play with other people’s children without the consent of their parents (you may risk getting arrested).
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Men remove their hats when entering a building, while women may or may not.
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Customs that give special attention to women, such as getting up when a woman comes to the table or holding a door open are considered slightly old-fashioned. Older women tend to expect these customs to be observed, while younger women view them as unnecessary or even insulting.
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Work is considered noble, and therefore those who work hard but do not get paid as much are given respect.
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Smoking is not generally accepted indoors or in parks – you must check to see if smoking is permissible before doing so.
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B.Y.O.B. – Bring Your Own Bottle. Used to describe parties where alcohol will not be provided to the masses.
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Superstores like Walmart and Target are common. When running errands, Americans need only go to one store to get everything they need because of the immense range of items these stores sell.
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Price tags give the price of the item before tax is added.
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The drinking age is 21; the smoking age is 18.
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Jaywalking is illegal, although almost never enforced. However, it is more dangerous to cross a road where there is no crosswalk or when it is not your light, as drivers do not expect people to disobey traffic laws.
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Customer-service is highly valued, and therefore if you are not happy with your product or service, demanding something better is encouraged.
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Americans are sensitive to political correctness, and therefore it is best to avoid controversial topics such as guns, politics, or religion.


This example shows DatePicker abilities to parse input value depending on given server date format or predefined words.
DatePicker uses the default date format provided from server to parse the input. The parsing starts when input looses its focus or user clicks "Enter" button. If the value cannot be parsed an error state class is added to the input.
Other feature of the datepicker parsing is the ability to generate date depending on predified words. The available combinations are:
If you need to localize the predefined words you should provide own $.telerik.cultureInfo object, which contains localized definitions for "today", "tomorrow" and etc.