51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search
51 New Cavendish Street, London W1G 9TG
Resi
Project x
Source:
Planning Search


A JavaScript library to perform binary operations on 53 bits. Provides replacement for the following operations:
~
, the not
operation &
, the and
operation |
, the or
operation ^
, the xor
operation <<
, the left shift
operation >>>
, the unsigned right shift
operation Note that JavaScript can only handle exact integers up to 253 - 1, a.k.a the maximum safe integer. Beyond this value, the number will be stored as a float, which is a totally different representation, on which bitwise logic cannot apply.
For this reason, BinOps only handles numbers that can fit on 53 bits as unsigned.


Loading…
Something's wrong
This extension only works if you are connected to an Airtel broadband connection.
30 GB
${used}% used
${remaining} GB left
${days} days left


Cognito 101 - Getting ID Token, Access Token from Cognito
Id Token
Decoded Id Token
Access Token
Decoded Access Token
Region
User Pool ID
App ID
Identity Pool ID
S3 Bucket Name
Save
SignUp
SignIn
Name
Email
Password
Code
Check your email for a 6 digit code from AWS and enter it here.
Sign Up
Confirm User
Email
Password
SignIn


Shefali
Menu
About
Education
Experience
Hobbies
Contact
School
College
DEGREE
: Secondary and Higher Secondary Education
YEAR
: 2013 - 2016
HOUSE
: Yellow House
SCHOOL NAME
: Indian School Salalah, Oman
STREAM
: Science Stream
Achievements
Jhankaar (Interschool Competition) -- Collage Making -- 2nd Prize Trophy
DEGREE
: Bachelor of Technology
YEAR
: 2016 - 2020
COLLEGE NAME
: National Institute of Technology Patna
DEPARTMENT
: Computer Science and Engineering
Co-/Extra-Curricular Activities
Member of Cultural Event (raga) (2017)
Member of freshers council (2018)
Cultural head of Computer Science & Engineering department (2017 - 2018)
Member of Cultural Event (Kalakriti) (2018)
Achievements
Deadlift(63 kg) (2018) -- Bronze Medal
Kabaddi (2018) -- Bronze Medal
Origami (2018) -- Silver Medal
Volleyball (2019) -- Silver Medal
Handball (2019) -- Bronze Medal


This site displays OBD logs collected by the OBD logger. The source and additional information is in GITHUB.


Test for Mapbox setData properties retrieval
Press the 'run' button; this text should disappear and be replaced with a map.
Bug: Sometimes, this stays white until the map is panned.
Click on the red marker to query the object Feature data. Note that properties is {hello:world}
Press the 'test' button, this creates a new feature and sets it to the markers layer using setData() The new feature should have properties {veni:vidivici}
Click on the red marker to query the object Feature data. Note that properties is {hello:world}
Press the 'test' button, this creates a new feature and sets it to the markers layer using setData() The new feature should have properties {veni:vidivici}


• Mouse left and drag to move points
• Mouse right to add/remove points
Curve segmentation controls how many segments are rendred per order. Higher count means finer rendering.
Author: Viktor Kostadinov
This work is distributed under an MIT license. Code snippets for the creation of the GLWrapper class have been taken from the MDN example repository.
Compiling this project
The source can be located in this repository. After installing all dev-dependencies, you can launch npm run build from the console to compile the project, using the files in the ./src folder. The packed bundle will be inside ./dist.
npm run build
./src
./dist


the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.
the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.
the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog.Tit for tat.the quick brown fox jumps over to the lazy dog Tit for tat.


Focusing on identity domain:
UAF stands for Universal Authentication Framework. It is FIDO Alliance that is trying to change the nature of online authentication. UAF is one of the current proposed standards that alliance is building right now.
eBay has a nice collection of open source projects. UAF is the one of them.


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The Image Gallery
A bunch of images that I didn't take


last updated: Oct 14th, 2018
Career Buddy: David Sanderson
Visual
25% Auditory
35% Visual
40% Tactile
My girlfriend was building a score board for her Derby club. I was asked to help when they could not get the hardware to work (she is a software person has not had to work with hardware in many years). I redesigned the PCB boards, wiring harnesses, and grounding scheme. While doing the electronics you have to use logic to solve the issues you also have to very creative. For example, doing the board layouts, you have to use parts in a way for the board to work, but you also want to lay it out in a way that some one that does not work with electronics can fix problem that might come up. Same with wiring harnesses. You want to run/build the cables so that if they need to be fixed and person with out any electrical experiences can do so.
Version 1
Hi my name is Dayn. I build websites that customers can be proud to show off to the world. I believe a website is an extension of that companies’ ideas and beliefs, and I want to create an experience that a customer is excited to show off. How do you feel about your website?
Version 2
Hi My name is Dayn. I'm a fullstack web designer that enjoy creating websites clients love to show off to their customers. A website is the window into a companies ideas, beliefs, and vision. I like to help my customers fully expresses their ideas, beliefs, and vision to their clients. Do you feel like your website is meeting those needs?
Version 3
Hi my name is Dayn, I'm a fullstack web designer. Hey, how about I buy you a beer?The first picture represents me now. A work in progress/rebuilding my life from the ruble of my past. The second picture is where I will end up. A calm place that I can grow and be in charge of my life.
| Identify Chart | Professional | Personal |
|---|---|---|
| Identity | Use Legal Name | Use Legal Name |
| Channels | Public but vey controlled | Private |
| Content | All about work | It's made up of my interests, but I don't post often |
I talked with Steve Leishman the VP of data and computer science at Xpansiv. He gave me the general rundown of what software they used and invited me to attend one of their lunch and learns in November to see more of what they do.
I looked up Durango Computers online. They specialize mostly in PHP, ASP.NET, AJAX, Javascript, and HTML.
After doing some research, I’m expecting to make about 30-40K my first couple of years. I’m ok with that, because I really think I’m going to enjoy doing this type of work.
The game went well for us as a group. We as a team communicated and worked with one another. When it was someone turn it was everyone turn. We talked about what the best move was for the group, not what was best for the individual. Granted this is the honeymoon phase of the team and there will be plenty of aggravation with one another. I think we can put aside our differences and remind ourselves of the group goal.
First week is in the books and it was what I expected. A lot of highs (hey, I solved a problem, I belong here) and a lot of lows (I am so lost, maybe I don’t belong here). I am very lucky and have a lot of great people in my cohort. Everyone is so willing to help each other out. I have learned a lot this week and I can’t wait for Monday to start.
This week was a complete blur. I really can’t believe how fast it went. I feel like I learned a lot, but I’m not really sure. My list of things I feel I need to work grows by the day and the amount of hours in the day seem to be getting shorter. I do like the fact I feel our fullstack group is grow closer each day. They are all really great people.
I can’t believe week three in the books. I’m starting to get a feel at what I’m good at and what I need to work on. Boy do I need a lot of work.
This week has been non stop excitement. Between starting out capstone project, pro-dev, bootstrap challenge, and all other little project, I really have not had time to think about much else.
This week was very social one. Between going to Fatpipe and Xpansiv I actually did a lot of networking. I did not really find a place in the conversation to use my elevator pitch but did talk to several people about what I was doing, and what my plans for the future are. I did not get the opportunity to talk to any alumni, but hopefully in the next couple of weeks.


LIST OF COURCES
Learn how to make yourself ready for software engineer interviews
from this course.
Here we have offered three software cources which are
useful you to gain your knowledge.
Available Cources:
select your intrested cources by clicking on the prespective picture


railo-context.Component testbox.system.util.MixerUtil
A utility object that provides runtime mixins
| Constructor Summary | |
|---|---|
|
init()
Constructor. |
| Method Summary | |
|---|---|
any
|
exposeMixin(any method, [any newName=''])
Exposes a private function publicly. |
any
|
getPropertyMixin(any name, [any scope='variables'], [any default])
gets a property. |
void
|
includeitMixin(any template)
Facade for cfinclude. |
void
|
injectMixin(any name, any UDF)
Injects a method into the CFC. |
void
|
injectPropertyMixin(any propertyName, any propertyValue, [any scope='variables'])
injects a property into the passed scope. |
any
|
invokerMixin(any method, [any argCollection], [any argList])
Calls private/packaged/public methods. |
any
|
methodProxy()
a method proxy. |
void
|
populatePropertyMixin(any propertyName, any propertyValue, [any scope='variables'])
Populates a property if it exists. |
void
|
removeMixin(string UDFName)
Removes a method in a CFC. |
void
|
removePropertyMixin(any propertyName, [any scope='variables'])
removes a property from the cfc used. |
void
|
start(any CFC)
Start method injection set -> Injects: includeitMixin,injectMixin,removeMixin,invokerMixin,injectPropertyMixin,removePropertyMixin,getPropertyMixin,populatePropertyMixin. |
void
|
stop(any CFC)
stop injection block. |
| Methods inherited from class railo-context.Component |
|---|
| None |
| Constructor Detail |
|---|
Constructor
| Method Detail |
|---|
Exposes a private function publicly
method
newName
gets a property
name
- The name of the property to inject.scope
- The scope to which inject the property to.default
- Default value to returnFacade for cfinclude
template
Injects a method into the CFC
name
- The name to inject the UDF asUDF
- UDF to injectinjects a property into the passed scope
propertyName
- The name of the property to inject.propertyValue
- The value of the property to injectscope
- The scope to which inject the property to.Calls private/packaged/public methods
method
- Name of the private method to callargCollection
- Can be called with an argument collection structargList
- Can be called with an argument list, for simple values only: ex: 'plugin=logger,number=1'a method proxy
Populates a property if it exists
propertyName
- The name of the property to inject.propertyValue
- The value of the property to injectscope
- The scope to which inject the property to.Removes a method in a CFC
UDFName
- Name of the UDF to be removedremoves a property from the cfc used.
propertyName
- The name of the property to remove.scope
- The scope to which inject the property to.Start method injection set -> Injects: includeitMixin,injectMixin,removeMixin,invokerMixin,injectPropertyMixin,removePropertyMixin,getPropertyMixin,populatePropertyMixin
CFC
- The cfc to mixinstop injection block. Removes mixed in methods.
CFC
- The cfc to inject the method into


Moldova leader nominates former finance minister as PM candidate
CHISINAU (Reuters) - Moldovan President Igor Dodon on Wednesday nominated former finance minister Ion Chicu to be the next prime minister.
The previous government was brought down by a no-confidence vote on Tuesday, threatening more instability just five months after the pro-Western Maia Sandu took office promising to fight corruption.
Chicu now has 15 days to form a cabinet, which then needs the approval of parliament.


TYPE_DOUBLE - 0 is reserved for errors. Order is weird for historical reasons.
TYPE_GROUP - Tag-delimited aggregate. Group type is deprecated and not supported in proto3. However, Proto3 implementations should still be able to parse the group wire format and treat group fields as unknown fields.
TYPE_INT32 - Not ZigZag encoded. Negative numbers take 10 bytes. Use TYPE_SINT32 if negative values are likely.
TYPE_INT64 - Not ZigZag encoded. Negative numbers take 10 bytes. Use TYPE_SINT64 if negative values are likely.
TYPE_MESSAGE - Length-delimited aggregate.
TYPE_SINT32 - Uses ZigZag encoding.
TYPE_SINT64 - Uses ZigZag encoding.
Generated using TypeDoc
TYPE_BYTES - New in version 2.


The paper studies five different techniques for stat abstraction in MDPs (Markov Decision Processes) and evaluates their usefulness for planning and learning.
The general idea behind abstraction is to map the actual (or observed) state to an abstract state that should be more amenable for learning.
It can be thought of as a mapping from one representation to another representation while preserving some useful properties.
Consider a MDP \(M = <S, A, P, R, \gamma>\) where \(S\) is the finite set of states, \(A\) is finite set of actions, \(P\) is the transition function, \(R\) is the bounded reward function and \(\gamma\) is the discount factor.
The abstract version of the MDP is \(\widetilde{M} = <\widetilde{S}, A, \widetilde{P}, \widetilde{R}, \gamma>\) where \(\widetilde{S}\) is the finite set if abstract states, \(\widetilde{P}\) is the transition function in the abstract state space and \(\widetilde{R}\) is the bounded reward function in the abstract reward space.
Abstraction function \(\phi\) is a function that maps a given state \(s\) to its abstract counterpart \(\widetilde{s}\).
The inverse image \(\phi^{-1}(\widetilde{s})\) is the set of ground states that map to the \(\widetilde{s}\) under the abstraction function \(\phi\).
A wieghing functioon \(w(s)\) is used to measure how much does a state \(s\) contribute to the abstract state \(\phi(s)\).
Given two abstraction functions \(\phi_{1}\) and \(\phi_{2}\), \(\phi_{1}\) is said to be finer than \(\phi_{2}\) iff for any states \(s_{1}, s_{2}\) if \(\phi_{1}(s_{1}) = \phi_{1}(s_{2})\) then \(\phi_{2}(s_{1}) = \phi_{2}(s_{2})\).
This finer relation is reflex, antisymmetric, transitive and partially ordered.
While many abstractions are possible, not all abstractions are equally important.
Model-irrelevance abstraction \(\phi_{model}\):
If two states $s_{1}$ and $s_{2}$ have the same abstracted state, then their one-step model is preserved.
Consider any action \(a\) and any abstract state \(\widetilde{s}\), if \(\phi_{model}(s_{1} = \phi_{model}(s_{2})\) then \(R(s_1, a) = R(s_2, a)\) and \(\sum_{s' \in \phi_{model}^{-1}\widetilde(s)}P_{s_1, s'}^{a} = \sum_{s' \in \phi_{model}^{-1}\widetilde(s)}P_{s_2, s'}^{a}\).
\(Q^{\pi}\)-irrelevance abstraction:
It preserves the state-action value finction for all the states.
\(\phi_{Q^{\pi}}(s_1) = \phi_{Q^{\pi}}(s_2)\) implies \(Q^{\pi}(s_1, a) = Q^{\pi}(s_1, a)\).
\(Q^{*}\)-irrelevance abstraction:
\(a^{*}\)-irrelevance abstraction:
\(\phi_{\pi^{*}}\)-irrelevance abstraction:
In terms of fineness, \(\phi_0 \geq \phi_{model} \geq \phi_{Q^{\pi}} \geq \phi_{Q^*} \geq \phi_{a^*} \geq \phi_{\pi^*}\). Here \(\phi_0\) is the identity mapping ie \(\phi_0(s) = s\)
If a property applies to any abstraction, it also applies to all the finer abstractions.
As we go from finer to coarser abstractions, the information loss increases (ie fewer components can be recovered) while the state-space reduces (ie the efficiency of solving the problem increases). This leads to a tradeoff when selecting abstractions.
For example, with abstractions \(\phi_{model}, \phi_{Q^{\pi}}, \phi_{Q^*}, \phi_{a^*}\), the optimal abstract policy \(\widetilde(\pi)^*\) is optimal in the ground MDP.
Similarly, if each state-action pair is visited infinitely often and the step-size decays properly, Q-learning with \(\phi_{model}, \phi_{Q^{\pi}}, \phi_{Q^*}\) converges to the optimal state-action value functions in the MDP. More conditions are needed for convergence in the case of the remaining two abstractions.
For \(\phi_{model}, \phi_{Q^{\pi}}, \phi_{Q^*}, \phi_{a^*}\), the model built with the experience converges to the true abstract model with infinite experience if the weighing function \(w(s)\) is fixed.


Enter ETH adress:
Examples Of NFT Exhibits
Here are some examples of prominent artists' ETH addresses that you can view in the temple right now.
 It only takes a couple of clicks!
If you already have tokens in your ETH wallet you can preview its contents in the temple. Simply paste the wallet address in our form (above). And no, we don't need your private key and we don't trade or share any data. In fact we even don't store anything.
COMING UP:Ability to generate NFTemple tokens with unique addresses on ENS (Ethereum Name Service) so that anyone can share their gallery with other people.


GHCi Colouriser
Posted on September 22, 2015
by Noon van der Silk
Behold, a colourful GHCi (install it for yourself):
This is done by using a simple little sed
wrapper around the ordinary ghci --interactive
,
see here for the script.
Note in particular the quirk that we must capture any SIGINT
that gets sent through and discard it, when we are invoking sed
, otherwise sed
itself will quit and our GHCi session will break.
You can use it cabal repl
(being mindful of this bug) by using cabal repl --with-ghc=ghci-color
. I’ve bound an alias repl
to this.
(Note: original credit for this goes to rhysd)


SEMESTER BREAKDOWN
Year 1
SEMESTER 1:
- English
- Humanities
- French
- Physical Education
- Web Interface Design
- Computing Mathematics
- Computer Fundamentals
- Introduction to OOP (Object Oriented Programming)
SEMESTER 2:
- English
- Humanities
- French
- Complementary
- Programming with Java
- Operating Systems and Scripting
- Web Site Planning and Implementation
- Configuring, Managing and Maintaining Computers
- Quantitative Methods for Computer Science Students
Year 2
SEMESTER 3:
- English
- Complementary
- Physical Education
- Game Development
- COBOL Programming
- Networking and Internet Services
- Business Fundamentals for IT
- Database Design and SQL Language
SEMESTER 4:
- English
- Humanities
- Physical Education
- Complementary
- Social Media Business Tool
- Business Systems Analysis
- JCL/RPG
- Legacy System Modernization
- Web Programming
Year 3
SEMESTER 5:
- Career Planning
- Database Systems Administration
- Mobile Application Development
- Building Windows and Web Applications
- Software Testing and Quality Assurance
- Final Project 1 - Legacy to Mobile
SEMESTER 6:
- Emerging Technologies
- Comprehensive Assessment / Digital Portfolio
- Externship - Legacy to Mobile
- Final Project 2 - Legacy to Mobile


Publications
Fábio Madeira, Michele Tinti, Gavuthami Murugesan, Emily Berrett, Margaret Stafford,
Rachel Toth, Christian Cole, Carol MacKintosh and Geoffrey J. Barton. 2015.
14-3-3-Pred: Improved methods to
predict 14-3-3-binding phosphopeptides. Bioinformatics (Oxford) 2015 Mar 3; 2015:btv133.
Michele Tinti, Fábio Madeira, Gavuthami Murugesan, Gerta Hoxhaj, Rachel Toth
and Carol MacKintosh. 2014. ANIA -
ANnotation and Integrated Analysis of the 14-3-3-interactome. Database (Oxford)
2014 Feb 5; 2014:bat085.
Ludwig Krippahl, Fábio Madeira and Pedro Barahona. 2013.
Constraining Protein Docking
with Coevolution Data for Medical Research. Proceedings of the 14th Conference
on Artificial Intelligence in Medicine pp 110-114.
Fábio Madeira and Ludwig Krippahl. 2012.
PYCOEVOL - A Python Workflow to Study
Protein-protein Coevolution. Proceedings of the International Conference on
Bioinformatics Models, Methods and Algorithms pp 143-149.
Marco Correia, Fábio Madeira, Pedro Barahona and Ludwig Krippahl. 2011.
Improving Multiple Sequence Alignments
with Constraint Programming and Local Search. Prooceedings of the Workshop on Constraint
Based Methods for Bioinformatics pp 37-44.
Ludwig Krippahl and Fábio Madeira. 2014.
Improving Protein Docking with Constraining
Programming and Coevolution Data. bioRxiv 10.1101/002329.
Fábio Madeira. 2010.
Estudos estruturais e funcionais da
fenilalanina hidroxilase humana. Master Thesis in Molecular Genetics and Biomedicine
(Written in Portuguese)


--- layout: post title: So it was just me date: '2016-04-10T18:18:09-07:00' tags: - frombrett - programming tumblr_url: http://beekley.xyz/post/142603741241/so-it-was-just-me ---
I spent a while on a little project trying to nail down why some values in an array in Javascript kept getting updated. I found every place where values in the array are assigned (one) and referenced (more). After commenting out more and more lines, I limited it down to a section where the array wasn’t referenced at all! But another array, which was “copied” from the first, was manipulated.
Oh. I guess arrays are just pointers and I learned more about (the basics of?) Javascript.  That’s good for like 70% conversations, but finally taking a class forced me to actually use concepts like grammar. Maybe I should formally learn Javascript.


{% trans "Your (http) connection is unencrypted and thus insecure." %}
{% if WE_HAVE_TLS %}
{% blocktrans trimmed %}
Please use our secure https site.
{% endblocktrans %}
{% endif %}
{% if COOKIE_SECURE %}
{% blocktrans trimmed %}
At least some of the required cookies will only work on the secure https site,
expect malfunctioning on the http site.
{% endblocktrans %}
{% endif %}
{% endif %}
{% if messages %}
{% for message in messages %}
{{ message }}
{% endfor %}
{% endif %}
{% block content %}
Here goes the content.
{% endblock %}
{% comment %}
Why IP detection it is implemented as it is
-------------------------------------------
a) we use javascript to insert the img tags after the document (DOM) is ready.
if we just have them in the html from the beginning, the browser would be visibly
"loading" until both "images" are loaded or timed out (if e.g. you don't have IPv6).
not nice.
b) we use fake img tags because doing it with jQuery.get() would be cross-domain:
WWW_HOST -> WWW_IPV4_HOST
WWW_HOST -> WWW_IPV6_HOST
c) yes, the setTimeout is rather unpretty and might not work for slow connections
(when loading the images take more than that timeout), making the IPs appear not
on the current view, but when the next view is loaded (or the current one reloaded).
if you have a better idea, this is something to improve.
d) we detect both IPv4 and v6 in the same way. this could be optimized to use the
REMOTE_ADDR we have from the view's http request and then only detect the other
kind of ip using the fake img approach.
OTOH, doing both IPs the same way is nicer as it is more symmetric.
{% endcomment %}
{% if not request.session.ipv4 or not request.session.ipv6 %}
{% endif %}


{% extends "base.html" %} {% block title %}Codenamer AI - guess matches{% endblock %} {% block content %}
I am collecting data to fine-tune the system. Select the columns you would guess given the hint in the row. You do not know the number of matches but you know there are 5 your words, 4 neutral words, 4 opponent words and 1 killer word in random order.
Please try to consider every row independently. Select BAD if the hint is completely unusable. A row with no marks (not even BAD) will be ignored. Please ignore that some hints have common root parts with the given words.
Entering a nick may help me with the data analysis, but is optional. I promise not to publish the nicks. I will publish the collected words and matches, anonymized, most likely under Creative Commons licence.
Source at [github]


--- bindings: - name: 'people' resource: '/api/users' optional: true fallback: [] params: q: '{{ qs "q" "all" }}' --- {{ $people := $.bindings.people }} {{ if $people }}


Will Ferrell returns to SNL as Gordon Sondland
A legend returned for the latest episode of NBC's Saturday Night Live.
Will Ferrell, a cast member from 1995-2002 who has gone on to appear in a few movies you may seen, made a cameo during Saturday night's cold open, appearing as U.S. Ambassador to the European Union Gordon Sondland alongside Alec Baldwin's President Trump, who was trying to prove that Sondland's impeachment inquiry testimony exonerated him.
Ferrell's Sondland wasn't much help for Baldwin's Trump — despite what appears to be his best intentions, he openly admits there was a quid-pro-quo. Watch the full sketch below. Tim O'Donnell


This page contains an index of all the individuals in the database, sorted by their last names. Selecting the person’s name will take you to that person’s individual page.
| Group as |
Name |
Birth |
| Alton |
Alton, Walter
|
1898-03-07 |
| Bubel |
Bubel, Mark
|
1987-01-08 |
| Hajduk |
Hajduk, Bartlomiej
|
1861-08-13 |
| |
Hajduk, Helen
|
|
| |
Hajduk, Pauline
|
1888-09-29 |
| |
Hajduk, Thomas
|
1889-12-22 |
| Kwasnieska |
Kwasnieska, Stephen
|
|
| Marcus |
Marcus, Lawrence
|
1983-01-08 |
| |
Marcus, Tessa Thomas
|
2020-10-22 |
| Martinho |
Martinho, Isabella Jesus
|
|
| Naber |
Naber, Angela Pauline
|
1920-03-13 |
| |
Naber, Raymond Edwin
|
1917-12-25 |
| |
Naber, Viktor Daniel
|
1922-05-10 |
| Naberezny |
Naberezny, Adam
|
1912-04-03 |
| |
Naberezny, Andrew
|
|
| |
Naberezny, John
|
1887-10-04 |
| |
Naberezny, Mary
|
1889-02-21 |
| |
Naberezny, Mary
|
|
| |
Naberezny, Michael
|
|
| |
Naberezny, Peter
|
|
| Reiger |
Reiger, Arthur Cleveland
|
1924-10-04 |
| |
Reiger, Paul
|
|
| Ross |
Ross, Helena
|
1913-07-25 |
| Sherman |
Sherman, Nancy
|
|
| |
Sherman, Susan
|
|
| Siuda |
Siuda, Frances
|
|
| |
Siuda, Francis
|
|
| Thomas |
Thomas - Bubel, Ann Kathryn
|
1988-11-26 |
| |
Thomas, Daniel Patrick
|
1957-02-21 |
| |
Thomas, Edward
|
|
| |
Thomas, Elizabeth Claire
|
1983-11-28 |
| |
Thomas, Joseph Edward
|
1991-12-06 |
| |
Thomas, Lorraine Jean
|
1936-11-01 |
| |
Thomas, Marian Joan
|
1956-07-30 |
| |
Thomas, Mary Pauline
|
1995-03-13 |
| |
Thomas, Peter Sullivan
|
1934-06-07 |
| |
Thomas, Rebekah Leigh
|
1994-08-04 |
| Trygar |
Trygar, Teresa
|
|
| Wolanski |
Wolanski, Agatha
|
1872-07-08 |
| |
Wolanski, John Jozef
|
1887-06-24 |
| |
Wolanski, Marjanna
|
1895 |
| |
Wolanski, Michal
|
|
| Wysocki |
Wysocki, Anthony
|
1993-05-03 |
| |
Wysocki, Owen Patrick
|
2019-10-17 |


[Ln,Bd,Range] = band(X,Low,High...)
[Ln,Bd,Range] = band(Range,X,Low,High,...)
[Ln,Bd,Range] = band(Ax,Range,X,Low,High,...)
Ax
[ numeric ] - Handle to axes in which the graph will be plotted; if not specified, the current axes will used.
Range
[ numeric ] - Date range; if not specified the entire range of the input time series object will be plotted.
X
[ tseries ] - Input time series whose columns will be ploted as a line graph (referred to as center lines).
Low
[ tseries ] - Time series that defines the lower edge of each band.
High
[ tseries ] - Time series that defines the upper edge of each band plotted.
Ln
[ numeric ] - Handles to lines plotted.
Bd
[ numeric ] - Handles to bands (patch objects) plotted.
Range
[ numeric ] - Date range actually plotted.
'datePosition='
[ 'centre'
| 'end'
| 'start'
] - Position of each date point within a given period span.
'dateTick='
[ numeric | Inf
] - Vector of dates locating tick marks on the X-axis; Inf means they will be created automatically.
'excludeFromLegend='
[ *true*
| false
] - Excluce bands from legend.
'grid='
[ 'bottom'
| 'top'
] - Place grid on top or bottom.
'relative='
[ true
| false
] - If true
, the lower and upper edge will be constructed by subtracting Low
from X
and adding High
to X
, respectively; otherwise, Low
and High
will be interpreted as absolute positions of the edges.
'tight='
[ true
| false
] - Make the y-axis tight.
'white='
[ numeric | 0.85
] - Percentage of white color mixed with the respective center line color and used to fill the band area.
See help on built-in plot
function for other options available.
See dat2str
for details on date format options.
'dateFormat='
[ char | cellstr | 'YYYYFP'
] - Date format string, or array of format strings (possibly different for each date).
'freqLetters='
[ char | 'YHQBMW'
] - Six letters used to represent the six possible frequencies of IRIS dates, in this order: yearly, half-yearly, quarterly, bi-monthly, monthly, and weekly (such as the 'Q'
in '2010Q1'
).
'months='
[ cellstr | {'January',...,'December'}
] - Twelve strings representing the names of the twelve months.
'standinMonth='
[ numeric | 'last'
| 1
] - Month that will represent a lower-than-monthly-frequency date if the month is part of the date format string.
If one (or more) of the input time series, X
, Low
, or High
, consists of more than one column, the graph is constructructed as follows:
One column in X
, multiple columns in Low
or High
- multiple bands are plotted around a single center line.
Multiple columns in X
, one column in Low
or High
- a single band is plotted around each of the center lines, each band constructed from the same lower and upper edge data; this setup makes sense only with the option 'relative=' true
.
Multiple columns in X
, mutliple columns in Low
or High
- a single band is plotted around each of the center lines, each band constructed from different data.


LocallyConnected2D
Locally-connected layer for 2D inputs.
Inherits From: Layer
tf.compat.v1.keras.layers.LocallyConnected2D
tf.compat.v2.keras.layers.LocallyConnected2D
The LocallyConnected2D
layer works similarly
to the Conv2D
layer, except that weights are unshared,
that is, a different set of filters is applied at each
different patch of the input.
# apply a 3x3 unshared weights convolution with 64 output filters on a 32x32 image # with `data_format="channels_last"`: model = Sequential() model.add(LocallyConnected2D(64, (3, 3), input_shape=(32, 32, 3))) # now model.output_shape == (None, 30, 30, 64) # notice that this layer will consume (30*30)*(3*3*3*64) + (30*30)*64 parameters # add a 3x3 unshared weights convolution on top, with 32 output filters: model.add(LocallyConnected2D(32, (3, 3))) # now model.output_shape == (None, 28, 28, 32)
filters
: Integer, the dimensionality of the output space
(i.e. the number of output filters in the convolution).kernel_size
: An integer or tuple/list of 2 integers, specifying the
width and height of the 2D convolution window.
Can be a single integer to specify the same value for
all spatial dimensions.strides
: An integer or tuple/list of 2 integers,
specifying the strides of the convolution along the width and height.
Can be a single integer to specify the same value for
all spatial dimensions.padding
: Currently only support "valid"
(case-insensitive).
"same"
will be supported in future.data_format
: A string,
one of channels_last
(default) or channels_first
.
The ordering of the dimensions in the inputs.
channels_last
corresponds to inputs with shape
(batch, height, width, channels)
while channels_first
corresponds to inputs with shape
(batch, channels, height, width)
.
It defaults to the image_data_format
value found in your
Keras config file at ~/.keras/keras.json
.
If you never set it, then it will be "channels_last".activation
: Activation function to use.
If you don't specify anything, no activation is applied
(ie. "linear" activation: a(x) = x
).use_bias
: Boolean, whether the layer uses a bias vector.kernel_initializer
: Initializer for the kernel
weights matrix.bias_initializer
: Initializer for the bias vector.kernel_regularizer
: Regularizer function applied to
the kernel
weights matrix.bias_regularizer
: Regularizer function applied to the bias vector.activity_regularizer
: Regularizer function applied to
the output of the layer (its "activation").kernel_constraint
: Constraint function applied to the kernel matrix.bias_constraint
: Constraint function applied to the bias vector.implementation
: implementation mode, either 1
, 2
, or 3
.
1
loops over input spatial locations to perform the forward pass.
It is memory-efficient but performs a lot of (small) ops.
2
stores layer weights in a dense but sparsely-populated 2D matrix
and implements the forward pass as a single matrix-multiply. It uses
a lot of RAM but performs few (large) ops.
3
stores layer weights in a sparse tensor and implements the forward
pass as a single sparse matrix-multiply.
How to choose:
1
: large, dense models,
2
: small models,
3
: large, sparse models,
where "large" stands for large input/output activations
(i.e. many filters
, input_filters
, large np.prod(input_size)
,
np.prod(output_size)
), and "sparse" stands for few connections
between inputs and outputs, i.e. small ratio
filters * input_filters * np.prod(kernel_size) / (np.prod(input_size)
* np.prod(strides))
, where inputs to and outputs of the layer are
assumed to have shapes input_size + (input_filters,)
,
output_size + (filters,)
respectively.
It is recommended to benchmark each in the setting of interest to pick the most efficient one (in terms of speed and memory usage). Correct choice of implementation can lead to dramatic speed improvements (e.g. 50X), potentially at the expense of RAM.
Also, only padding="valid"
is supported by implementation=1
.
4D tensor with shape:
(samples, channels, rows, cols)
if data_format='channels_first'
or 4D tensor with shape:
(samples, rows, cols, channels)
if data_format='channels_last'.
4D tensor with shape:
(samples, filters, new_rows, new_cols)
if data_format='channels_first'
or 4D tensor with shape:
(samples, new_rows, new_cols, filters)
if data_format='channels_last'.
rows
and cols
values might have changed due to padding.
__init__
__init__( filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None, implementation=1, **kwargs )


In this week we studied about message security, but in specific email message security. Per Symantec's 2017 Internet Security Threat Report (Volume 22), Symantec witnessed a resurgence of email as the favored attack channel. One in every 131 emails sent were malicious, the highest rate they've witnessed in 5 years.
Furthermore, the availability of spam botnets-for-hire , such as Necurs, allowed ransomware groups to mount massive email campaigns during 2016. It's believed spear-phishing emails were used in the DNC attacks of 2016.
Below are some statistics found within the Symantec 2017 ISTR.
Below is a link where you can download the 2017 Symantec ISTR:
2017 Symantec Internet Security Threat Report
A growing trend in email phishing is the Business email compromise fraud, most commonly known as BEC. Per the FBI's public service announcement in May 2017, BEC is defined as a sophisticated scam targeting businesses working with foreign suppliers and/or businesses that regularly perform wire transfer payments. In total, the scam has accounted for more than $5 billion dollars lost by victims of the scam. Between January 2015 and December 2016, there was a 2,370% increase in identified exposed losses.
Below is a link to the FBI's PSA:
FBI Business Email Compromise Public Service Announcement
Furthermore, the attackers are target specific industries known to operate/conduct financial transactions via wire transfers. In specific, certified public accountants, lawyers/law firms, and real estate firms. They will initiate transfer while impersonating a high ranking officer of the firm and funds are intended to arrive to a mule account. If the wire transfer is completed the client is fully liable since the transactions was initiated by the authorized signer's of the accounts.
However, there security researchers have found effective way's for filtering out spam emails. Per this week's lectures there are two known tools for detecting spam.
Also, in recent years there have been the development of various authentication methods for emails. In example:
This week we focused a lot on web attacks and exploits. Some of the attacks we discussed were:
But the one attack that did catch my attention was the SQL injection attacks.
Last week I mentioned how as a fraud investigator for banks I witnessed online banking fraud in which clients were attacked via Man In The Middle attacks, in which the bad actors would intercept the online banking session, modify or create new wire instructions unbeknown to the bank and client and the funds would leave the bank unnoticed. This was one fraud affecting one payment channel.
But by far the largest case, and most notorious case, worked by fraud investigators in South Florida was the Alberto Gonzalez card fraud case. Alberto Gonzalez at the time was working as an informant for the Secret Service who always had an interest in WiFi hackings. While driving down U.S.1 ( a road that runs along the South Florida coast line) he noticed several big merchants using poor WiFi encryption and security standards. This included retail stores such as T.J. Maxx, BJ's Wholesale Club, Dave and Busters and more.
Alberto Gonzalez, along with some accomplices, devised a plot to intrude the networks of these retail merchants and used a SQL injection to query the stores payment card accounts. This was done over a period of several months, little by little, and in the end they extracted more than 180 million payment card accounts and more than 200 million in losses to banks due to their fraud. See link to the article below. It is considered to this day, one of the most successful cyber heists known, even more successful than the Target heist in 2015.
New York Times - The Great Cyberheist
Another topic I wanted to research more was why is Adobe Flash hated and considered extremely vulnerable.
What I found was that Adobe Flash is 21 years old and over the years it had to be able to deal with many different OS's, standards, and all the quirky restrictions they brought along with them.
Most of the work done on Flash is aimed at keeping it up-to-date with the latest technologies, adding more and more features over time. This doesn't leave much time for reviewing old code for potential security issues.
Combining these two factors gives a perfect recipe for long lasting bugs buried deep in the code. Furthermore, I attempted to study a Flash player exploit to understand what the vulnerabilities are.
Back in 2015, an Italian company called Hacking Team was hacked and suffered a major data breach, more than 400GB of the company's confidential data was made public. The exploit, known as Adobe Flash Player ActionScript 3 ByteArray Use After Free Remote Memory Corruption Vulnerability (take some time to digest that title), is detailed as follows:
For more information about this exploit you can visit the following links:
Luckily, Adobe is finally pulling the plug on Flash. Adobe will stop distributing and updating the media player by the end of 2020.
This week we discussed multiple ways to defend and attack a network. In specific, we discussed the following protection strategies:
Other examples of strategies include honeypots/honeynet's and reputation.
Other topics also discussed in the lecture were attacks against networks. One in particular I found interesting was Man In the Middle Attacks (MITM).
Having worked as a fraud investigator, I investigated various cases of fraud in which bank users/clients were victims of online banking and wire fraud. Most of which was perpetrated via MITM attacks. This mounted to large losses for the financial institutions who paid out such claims to the clients who losses were not reimbursed by the same banks.
In our investigations, our immediate source for review was the online banking session logs. Most often than not, we would find various session log in and activity from multiple IP addresses in concurrency with the legitimate user's activity (i.e. while the bank client was performing a balance inquiry via an IP address in Venezuela, another user was performing a wire transfer request via an IP address in Russia, both using the same session ID). These investigations proved frustrating but I was interested how these attacks could be carried out against sophisticated online banking platforms. Most often than not, the client's devices were unpatched and poorly secured.
One part of the lecture that interested me regarding man in the middle attacks was SSL renegotiation attacks. Renegotiation is required when no client-server authentication is initially required while making an SSL connection but is required later. Thus instead of dropping and creating a new SSL connection, renegotiation adds authentication details to the current connection.
However renegotiation is vulnerable to attacks. Two worries are:
There are ways to mitigate these threats. Some are:
Below is a link to a proof of concept for TLS renegotiation and its vulnerability in which an attacker can perform a DoS attack.
A rootkit is one of the most difficult types of malware to find and remove. Once a rootkit installs itself on your computer, it will boot up at the same time as your PC. There are various forms of rootkits which different degrees of severity. Below is an illustration of the layered differences in the severity:
In week 5 lecture, we discussed about the most severe rootkits which are the kernel rootkits. This type of rootkit is designed to function at the level of the operating system itself. This means the rootkit can effectively add new code to the OS, or even delete and replace OS code.
Rootkits have a tendency to target important structures within the Windows operating system for the purposes of stealth and persistence. This is also known as hooking. Below are some examples:
Below is a simple example of how a rootkit can manipulate calls to the IDT.
Furthermore, below is an article of a rootkit attack involving the Windows SSDT.
InfoSec Article - SSDT Hooking
Most recently, bad actors have started to migrate towards to digital certificates as a means to successfully installing malware on a victims machine. A certificate is issued by an organization recognized as "trusted' by the parties involved and is used ordinarily for operations of public key cryptography.
However, digital certificates can be used abused to conduct illicit activities like cyber espionage, sabotage or aid in the dissemination of malware. This is a highly valuable asset for actors since it can grant their application low level access to the victims machine.
In Week 4, the lectures centered around the topic of vulnerabilities and exploitation. In specific we studied the more common methods in which attackers use to gain access inside a network defensive perimeter, and that's the internet browser.
Nowadays, most business have strong DMZ and firewalls to protect the business from attacks outside the perimeter, but as we've learned in this course, a business is only as strong as its weakest link. In modern times, attackers employ social engineering tactics to gain access inside a network. One strategy that employs social engineering along with sophisticated attacks is having the user visit a page, have the page load JavaScript code that will take advantage of a browser function or vulnerability.
This week we discussed two ways we can manipulate memory via the stack through the browser.
Stack Smashing
In order to corrupt the stack, we need to a few things as per the lectures:
A stack smash occurs when the stack buffer is filled with data supplied from an untrusted user and the data is corrupts the stack and malicious executable code is injected into the stack. The code is executed when the stack attempts to perform a return to a function via the return address on EIP, but the attacker uses a NOP slide to position EIP to their malicious code on the stack.
For reference, as mentioned in the lectures, a NOP slide is a sequence of no operations meant to "slide" the CPU's instruction pointer to a desired destination whenever the program branches to a memory address anywhere on the slide.
Operating systems have now implemented various protection schemes to protect against a stack smash. In my research I found these protections can be classified into three categories:
Use-After-Free
Use after free is another method used to exploit memory via the browser. This vulnerability is triggered when an object in memory is freed and then reference later by the application, but the attacker has control of the freed object/memory. In order for this the following conditions must be present for the attacker to exploit:
Below is a diagram showing the flow of a use-after-free exploit:
Modern browsers, like Microsoft's Edge in Windows 10, have functions in place to mitigate use after free exploits. Recently, Microsoft introduced MemGC which prevents the freeing of memory chunks if references to them are found. MemGC checks the registers and the stack for chunk references, and in addition, scans the contents of MemGC managed chunks for references.
Below is flowchart of how MemGC works:
For more information you can click on the link below. It's an article from LinkedIn on a BlackHat session in which the presenter discusses MemGC.
MemGC: Use-After-Free Exploit Mitigation In Edge and IE In Windows 10
Tools
Also, in the lecture we discussed how WinDbg is a great tool for establishing breakpoints in applications and examining the applications assembly code. WinDbg is also extremely useful when attempting to review the stack and heap starting points, strings in the applications, and register contents, including the instruction pointer.
WinDbg can also be used to install breakpoints in running process/applications. Allowing a user to observe behavior incrementally in real time. Below is an article discussing debugging malware with WinDbg
The last weeks we've talked about malware dissection and offense, but this week we discussed malware defense. There are various ways to protect your network infrastructure from malware defense, but in my research, I found nothing is more effective than network segmentation and virtualization. By layering your defense, you make it difficult for malware to penetrate your network infrastructure and in the event they succeed, make it difficult in scanning and exporting valuable data.
As discussed in the lecture, there are static and behavioral methodologies in detecting potential device compromises. Some examples include:
Furthermore, there are tools simple enough to aid your efforts for malware defense. In the lecture, we discussed Yara and Cuckoo. Tools simple enough and open source that allow it to be used by large to small businesses and personal consumers. These applications allow you to create rules where you define certain information to find when scanning files and directories.
There are other open source projects that involve the monitoring of host machine behaviors. One example is the Open Source HIDS Security or OSSEC. Per the documentation on OSSEC GitHub's page, OSSEC is actively monitoring all aspects of Unix system activity with file integrity monitoring. Log monitoring, rootcheck, and process monitoring. A commercial counterpart to this project is Carbon Black.
Furthermore, through virtualization, IT professionals can now deploy virtualized app and desktop solutions for applications considered high risk, specifically applications with access to the external internet (i.e. web browsers). By hosting applications on VDI's, if a user visits a site with malware injection the malware only affects the virtual system and is denied access to the host or server hosting the virtual session. This makes it easy to quarantine and remove the infected virtualization and restore a recent backup.
This week there were several topics that struck a note with me. The lectures had a strong focus on standard procedures for obtaining computer forensic evidence. We also discussed the following:
The procedures for obtaining forensic evidence on a computer is not much different when obtaining evidence from other crimes. As an investigator you must do the following:
Doing a quick Google search I found various publications, both from the public and private sectors, on how to handle malware evidence. You may click on the link for find this information:
Google Search - Standard Procedures for Malware Forensics
Another thing I was completely unware of was the challenges in collecting forensics evidence from SSD drives. As explained by forensicmag.com in this article Forensic Mag - Forensic Insight into Solid State Drives, SSD's require you to write data in blocks. This is always true. Every time we want to write new data to the SSD, it takes a copy of that information, clears a block hence clearing the bits in that block, and writes the data. The same is true if we modify data that already exists in a block. Per the article, the best example to illustrate this is a Etch-A-Sketch model:
In my research, most malware investigators have yet to solve this problem with SSD's. However if you wish to find more information below is a link to a Google search with various articles and white papers:
Google Search - Forensics with hard disk vs SSD
Artifacts are objects or areas within a computer system that hold important information relevant to the activities performed on the computer by the user. Below is a table of files, and their locations, that are critical to malware forensics:
In particular, the Registry can contain incredibly valuable information for a forensic investigator. It is a hierarchical database that contains the default and user-defined setting in a Windows system. It serves a repo, that monitors and records the activities that a user performs on a system in the form of registry entries. This includes programs installed and uninstalled, USB devices connected, most recently accessed files, IP addresses and more. Most of this can be viewed with RegEdit.
Another key take away for the week is the order of volatility for data. This is imperative for all malware investigators since it dictates what analysis you'll be performing first on a suspect machine.
Lastly, I searched for cases that have been imperative in establishing case law for computer crimes, particularly with the presentment of digital artifacts as evidence. Below are some interesting case law and rules regarding digital evidence:
In the wake of the largely publicized disclosures of the Meltdown and, more serious, Spectre vulnerabilities, it’s more important than ever for the common user to be educated on security. As a student of computer science, I feel it’s more important than ever to understand how a threat is detected, prevented, and analyzed.
Also important is understanding the bad actor and their intentions. This week we covered the basics of malware. This includes:
But by far my biggest take away in this week’s materials are understanding and identifying the motives for a bad actor to move forward in committing to what’s known as the APT kill chain. This can be partially solved by reviewing the malware code, but also on how the malware is implemented. I find the instructors example of a USB infection interesting, in that the log created by the malware is only retrievable by the original USB which caused infection as a sign that it’s an internal attack.
There are 2 ways to analyze malware
In any case below are tools that anyone curious to reverse engineer a malware will need and why they need it:
Static Analysis
Engineers use techniques like string analysis, binary analysis and source analysis as a means of static analysis. In Lab 1, I performed a string analysis of the evil.exe file by opening the file with McAfee’s File Insight tool. As the image below shows, the executable had various interesting strings, including strings to HTTP sites where the malware would download more than 1 executable.
Binary tools like the one pictured below are also used to analyze the malware’s source code in assembly. This helps determine what the malware is attempting to do by checking what registry’s and driver’s it’s attempting to utilize in the code.
Engineer’s will need to use tools to monitor the malwares behavior within the operating system, identifying artifacts it leaves behind. An example of such a tool is FakeNet, or even Wireshark, that monitors the HTTP requests attempted by the malicious executable. Below is an example of a malicious malware attempting to download another executable, more than likely also malware.
Conclusion
Malware analysis is similar to piecing together a puzzle. It really does require thinking outside the box and reviewing multiple artifacts in order to understand the malwares payload and it's intentions. This is not exclusive to just analyzing the malwares binary/source code, but also it's strings and behaviors, in particular within a network. Malware analysis can be extensively but imperative in order to prevent your data from being at risk of exposure.


15 MINUTES Reviewed on March 13th, 2001 By Jerry Saravia
Something shocking happens in "15 Minutes." It is so shocking and unexpected that it will leave you coming up for air wondering why the filmmakers went through such lengths to shock the audience. And yet its shocking twist results in a final half-hour of ridiculous implausibilities squandering its initial premise.
Robert De Niro plays Eddie Flemming, a New York City homicide cop who loves to be surrounded by the media (he also dunks his head in ice water to sober up). Eddie is a celebrity cop, having had his hide splashed on the covers of People magazine. The latest murder in town involves arson, and Eddie is there ready to mingle with the press while solving the crime. Trouble is that an arson investigator Jordy Warsaw (Edward Burns) has solved the crime first, realizing it was actually a homicide than an accidental arson case. Eddie knows it too and gets all the credit. You do not have to be a film buff to know that Eddie and Jody become partners in what appears to be a buddy-buddy cop flick, only Jody is no cop and realistically, he would not have been allowed to follow Eddie everywhere since the subsequent murders do not involve arson! We will allow logic to be suspended for now since their banter is occasionally intoxicating.
The latest string of murders are committed by two European thugs. One is Olgen (played by Olgen Taktarov), a bald-headed and grins uncontrollably and his partner, Emil (Karel Roden), who also grins and shoots their murders with a stolen digital camera. Their motives remain unclear at first but afterwards, their intent becomes clearer - they want to publicize their snuff videos on television and become celebrities. Olgen's idea is that in America, nobody is blamed for what they do and everyone is a celebrity for at least fifteen minutes. Andy Warhol might have wished his words were not used synonymously with murder.
"15 Minutes" is nothing new, and its theme of how amoral and devalued our country (and the media) has become has been explored in everything from Sidney Lumet's "Network" to Martin Scorsese's "The King of Comedy" to Oliver Stone's "Natural Born Killers" to the blackly comical "Man Bites Dog," which this film so closely resembles. But what the film says is that someone crazy enough would be willing to create a snuff film and try and sell it to the media in return for some exposure. Sure there is jail time served but who can say no to book rights, movie rights and the right lawyer who can negotiate a percentage of the profits (Olgen's lawyer is played by real-life Gotti lawyer Bruce Cutler).
Most of "15 Minutes" has a jazzy, immediate feel to it, and there are some terrifically choreographed scenes. One involves a gruesome murder seen from a witness's point-of-view. Another involves a shootout on the streets near Central Park that is hair-raising and frenetic. I also liked a long scene involving an escape from a burning building. But "15 Minutes" lacks much thrust or purpose. It seems to evolve from one type of genre to another. First we get some harrowing scenes of violence from a camcorder's point-of-view. Then we get the buddy schtick of De Niro and Burns at odds with each other. Then there is a developing romance between De Niro and a reporter (Melina Kanakaredes from TV's "Providence"). Then there is the brief satire of the media (such a cliched attack at best) where Mr. Frasier himself (Kelsey Grammer) plays a famous TV tabloid reporter whose sole purpose in news is summed up in one line, thanks to actress Kim Catrall: "If it bleeds, it leads." At this point, I was confused since the film doesn't stick close to any consistent tone or style.
De Niro has some bright, lively moments but it is mostly a thankless role for someone of his stature. He does have a touching scene, however, where he fills out a card to his possible bride-to-be written in a different language. Edwards Burns is not always up to the task and I had a hard time believing him to be an arson investigator (ironically enough, De Niro did wonders with a similar role in "Backdraft").  Let us just say that another pile of cliches follow, including the obligatory turn-in-the-badge scene and a host of other predictable scenes from the "Dirty Harry" school.  This is the kind of film possibly written by one person that is then run through a full-scale committee turning it into your average Hollywood run-of-the-mill thriller, satire, commentary, or whatever the heck it is.
For more reviews, check out JERRY AT THE MOVIES at http://moviething.com/members/movies/faust/JATMindex.shtml
E-mail me with any questions, complaints or general comments at<EMAIL_ADDRESS>or at<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
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


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Put on your headphones before you start using this guide.
We hope you enjoy the visit.
Look for the headphone symbol next to the works and then press the number in front of you to start.
Press the menu icon at the top right of the screen to switch to another work.
Use the buttons at the bottom of the screen to switch to the next or previous work.


Step 1. Setup the database
Create a new database schema and execute script/scott-tiger.sql . Make sure that
the script runs successfully.
$ db2 connect to
wisser user
wisser using
<password>
$ db2 -tvf
script/scott-tiger.sql
|
Step 2. Building the data model
Start the Tool
(see "Installation" )
and create a new data model. Press New and enter "Tutorial" as the name
for the new model.
A data model holds information about the tables in the database and
all associations between them.
Most of the information can be retrieved automatically by analyzing
the database schema.
Click on Analyze
Database.
You will be asked for the database connection
information.
Create a new connection.
Select the DBMS you are using from the displayed list, and fill
out the following form:
Finally click on Connect. Jailer finds seven tables and five
associations:
Two associations are still missing:
- an employee is classified into a salary grade depending on
his salary
- employees may receive bonuses
Add the definitions manually (Add-Button under
Associations):
The data model is now complete.
|


Matheus Reboucas Wolfenberg Winand
(480)XXX-XXXX
My objective in my carrer is to learn as much as I can in order to be able to solve modern problems in tech.
| University/School | Course | Status |
|---|---|---|
| Arizona State University | Digital Culture (Media Editing) | In progress |
| International School of Alphaville | High School | Finished |


Which of these lines are lines of symmetry?
init({
range: [ [ -3, 7 ], [ -6, 2 ] ]
});
var p = regularPolygon( [ 2, -2 ] , SIDES , 2.5 );
var a = line( LINE_A[ 0 ], LINE_A[ 1 ], { stroke: "blue" } );
var la = randomPointOnLine( LINE_A[ 0 ], LINE_A[ 1 ], [ -2, 2 ], [ -5, 1 ] );
label( la, "A", "below left", { color: "blue" } );
var b = line( LINE_B[ 0 ], LINE_B[ 1 ], { stroke: "red" } );
var lb = [];
while( lb.length === 0 || lineLength( [ la, lb ] ) < 2 ){
lb = randomPointOnLine( LINE_B[ 0 ], LINE_B[ 1 ], [ -2, 2 ], [ -5, 1 ] );
}
label( lb, "B", "below left", { color: "red" } );
A line of symmetry is a line that goes through the shape and divides it into two equal halves.
Let's examine line A first.
init({
range: [ [ -3, 9 ], [ -6, 2 ] ]
});
var p = regularPolygon( [ 2, -2 ] , SIDES , 2.5 );
var a = line( LINE_A[ 0 ], LINE_A[ 1 ], { stroke: "blue" } );
var x = splitPath( p, linePathIntersection( a, p ) );
path( x[ 1 ], { stroke: "green" } );
graph.X = x;
The green part is one of the halves that we get when we split the polygon down the line of symmetry.
We can reflect it over the line to see whether it is equal with the other half.
var temp = [];
var i = 0;
for( i = 0; i != graph.X[ 1 ].length; i++ ){
temp.push( reflectPoint( LINE_A, graph.X[ 1 ][ i ] ) );
}
path( temp, { stroke: "red", "stroke-dasharray": "-" } )
These two parts match, therefore line A is a line of symmetry.
These two parts do not match, therefore line A is not a line of symmetry.
We can examine line B in the same way.
init({
range: [ [ -3, 9 ], [ -6, 2 ] ]
});
var p = regularPolygon( [ 2, -2 ] , SIDES , 2.5 );
var a = line( LINE_B[ 0 ], LINE_B[ 1 ], { stroke: "red" } );
var x = splitPath( p, linePathIntersection( a, p ) );
path( x[ 1 ], { stroke: "green" } );
graph.X = x;
The green part is one of the halves which we get when we split the polygon down the line of symmetry.
We can reflect it over the line to see whether it is equal with the other half.
var temp = [];
var i = 0;
for( i = 0; i != graph.X[ 1 ].length; i++ ){
temp.push( reflectPoint( LINE_B, graph.X[ 1 ][ i ] ) );
}
path( temp, { stroke: "red", "stroke-dasharray": "-" } )
These two parts match, therefore line B is a line of symmetry.
These two parts do not match, therefore line B is not a line of symmetry.


Click & Create
back to home
Softwares
Toning
Retouching
Login
Grayscale
Blur
Brightness
Contrast
Hue Rotate
Opacity
Invert
Saturate
Sepia


MDAL driver implementation tutorial
Overall Approach
In general new formats are added to MDAL by implementing format specific drivers. Drivers need to be derived class of MDAL::Driver() and be registered in MDAL::DriverManager::DriverManager(). Drivers can have different types, they can read (or write) the mesh frame or mesh datasets (or both). Some formats have separate file for mesh (frame) definition and data definition, some formats have multiple files per dataset, some formats use single for to store all the data in single file. All possibilities are supported.
Driver structure
There are two types of drivers in MDAL
Regular drivers: they are compiled into the MDAL library at compile time
Dynamic drivers: they are compiled separately, without linkage to MDAL library. MDAL loads the on runtime from folder defined by environment variable MDAL_DRIVER_PATH
Regular drivers
Each regular MDAL driver consists of files in
MDAL/docs/source/drivers/<driver_name>.rst where the driver documentation is preserved
MDAL/mdal/frmts/mdal_<driver_name>.cpp where the driver implementation is coded
MDAL/tests/test_<driver_name>.cpp where the test is implemented. Test coverage is aimed for more than 90% of the code base. Each driver should come with the driver test with size < 3MB that is stored under the same folder.
The new driver needs to also be registered in mdal_driver_manager.cpp file.
The driver can be implemented with lazy-loaded fashion, so the data is gathered only when requested (preferred) or in brute-force way, where everything is loaded in the memory. The latter options is easier to implement as is a usual practice to implement the all-in-memory way by usage of classes MDAL::MemoryMesh and MDAL::MemoryDataset first.
Dynamic drivers
Implementation of the dynamic drivers is a lot more challenging than the regular drivers. To be able to guarantee the binary stability, dynamic drivers needs to expose plain C API with set of exported functions.
The example implementation of the dynamic driver is in MDAL/tools/externaldriver/. Basically you need to implement and export all functions defined in MDAL/tools/externaldriver/mdal_external_driver.h. Please consult the functions description.
The dynamic driver should not link MDAL library function, so it is not dependent on the version of the library. Also, with the new release of MDAL you do not need to recompile your drive to be able to use it.
On runtime, MDAL scans the folder defined by environment variable MDAL_DRIVER_PATH and scans all libraries found in the folder. If any library contains the required MDAL_DRIVER_* symbols, it is registered in runtime to mdal driver registry.
When the mesh is opened in MDAL, it tries MDAL_DRIVER_canReadMesh() function of the driver to find out if the driver shall be used to open the file.
The reading follows by calling MDAL_DRIVER_M_* functions to get the information and structure of the mesh frame.
Afterwards, the dataset groups are read by MDAL_DRIVER_G_* functions.
When client requests particular data, they are served through MDAL_DRIVER_D_data. Data could be lazy-loaded.


Valerie A. Leal-Whitehead
Democrat
Banner Health, Cardiovascular Institute, 20 years. During my tenure here I have written our policy and procedures, helped to set up our stress testing services, served as supervisor responsible for hiring/terminating/evaluating staff, and I currently provide phone nurse triage , walk in patient care and other miscellaneous tasks. Prior to my current position: NCMC [Banner Health], Telemetry nurse 1981-85, Cardiac Rehab/patient education 1985-1998; Cardiac Research nurse 1998-2000 with the Heart and Vascular cardiology group [now affiliated with UC Health]. I also substitute taught at UNC [University of Northern Colorado here in Greeley] in the kinesiology department in the late 1980s, during a time they were in a bind with professors. I taught electrocardiography and stress testing for two separate quarters. Over the course of my career I have been provided with many opportunities to present/teach in a variety of settings and teaching is something I enjoy a great deal.
University of Northern Colorado, School of Nursing, 1981 BSN, RN licensed in CO, Certified Exercise Technologist, ACSM [American College of Sports Medicine]
80634
Phone banks, door knocking for Democrats during presidential election years, [occasionally in non-presidential years]with the exception of this year. I donate to the Democrats during presidential election years, usually no more than $200 for the campaign cycle.
Most of my volunteer service in the last five years has been through my church.
I served three terms on our local board of education, from 1993 - 2003. As noted above, I worked for the Democrats during presidential elections with the exception of this year. My church callings have included teaching young children, teaching adults, working with young women as advisor, camp director and community philanthropy work associated with the youth.
With the exception of a run for our Board of Education 10 years ago, I have not served nor run to serve my community in any official capacity in some time. I learned of this opportunity at a recent Women's March and I decided to apply. My years of professional experience, and my prior years on our local board of education, along with my desire to "get back into things", will make me a good choice for this commission.
When I served on our local Board of Education, it was during a contentious time [in terms of opinions re: public education] in our community. I was able to form good relationships with members of the board whose views were significantly different from my own. In my professional life I have served as mentor, supervisor, educator and trainer; based on feedback from my immediate supervisors I believe I have been fair and honest in my interactions with colleagues.
I am a nurse; in my field and current role there is analysis involved in every triage call and in most patient interactions. I am good with people, with "service recovery" when that situation occasionally occurs, and with communicating important information in language each patient understands. I am passionate about many things, sometimes very vocal, but generally objective when it comes to addressing problems.
female


Reprezentacja Wiedzy
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This startup
GPR Web Design can design for single landing pages or complete multi-page websites. If you already have a website and just want to update GPR can do that too. Everyone needs websites in today's world and a strong web presence is essential to succeed. GPR will also design a site that is user-friendly as well as easy to find via all of the modern search engines. GPR Web Design strives to create a website that suits your needs and helps you stand out from your competition. GPR takes four steps to complete a website or app project.
If you thought our insights into what makes a web developer great was to your liking than give GPR a call and we’ll be glad to work for you.


Use the "a href" tag. Copy and paste the url of the link
This here is a hyperlink to w3schools
images are fairly easy. Use the "img src" tag.
I play intense recreational soccer
I give some time to United Way
Just started my journey at 1150
Here are some key resouces for web development:
| Languages | Site Name | Link | Description |
| HTML, CSS, JavaScript, jQuery | freecodecamp | freecodecamp | This site will help yyou practice your skills. It is a good resource for portfolio building and for getting coding experience as a new developer. |
| HTML, CSS, JavaScript, jQuery, Git, Command Line, Python | Codeacademy | Codeacademy | This site will help yyou practice your skills. It's probably one of the most popular free learning sites on the web, and they're always updating and keeping up with things. Also has a nice paid option. |
| HTML, CSS, JavaScript, jQuery, Git, Command Line, Python | w3schools | w3schools | This site will help yyou practice your skills. It is a good resource for portfolio building and for getting coding experience as a new developer |
| Bootstrap | Bootstrap | Bootstrap | This site is a free HTML, CSS, and JavaScript tool that allows you to develop responsive apps. This means that you can create sites that will look good on desktop, laptop, and mobile device. |
| Any language | Stack Overflow | Stack Overflow | As you get more and more into development, this site becomes indispensable. It doesn't seem like it now, but it will! |


--- date: 2013-10-23 10:00:04 author: Colene Chow title: "PhoneGap Day US 2013: The Web as a Platform" format: html tags: - PhoneGap Day - Event - Community ---
Thank you to everyone who attended PhoneGap Day US 2013 and made it such a huge success!
As we mentioned in our previous PhoneGap Day posts, the audio quality is not what we were hoping for due to some technical glitches. We've been working madly to get it improved which is why we've been delayed in sharing them. Nothing too shabby, but not as good as being at PhoneGap Day in person. Thankfully in this next video, we get some better audio at the 4 min mark. Now, on to the video!
Our next speaker is Christopher Gammon, Creative Developer at Adobe, and his talk "The Web as a Platform".


A link to every query that Presidential Selections offers is below. Click the button to navigate to that query.
Enter a candidate and learn more about that candidate's participation in elections.
Enter a party and learn about the history of that political party throughout elections.
Find out which candidates had a break before being reelected.
Find out which candidates ran in an election for one party and then in another election for a different party.
Find out which elections were the most popular as a function of popular votes and the population during that election year.
Find out which candidates were oldest at the time of their election.
Find out which candidates lost an election but later won.
Find out which candidates won an election despite losing the popular vote.


TRUE BELIEVER A film review by Jeff Meyer Copyright 1989 Jeff Meyer
For the last ten year's James Woods' character in TRUE BELIEVER has been on the emotional skids. He's one of the most famous 1960s lawyers, who made a name for himself defending "the little people" against companies and governments. But over the years, fewer and fewer of the people he defended were innocent, so that when a young lawyer (played by Robert Downey Jr.) who has come to New York with the intention of making Woods' his mentor, he finds a jaded, disillusioned man with much of the skill but little of the idealism of his glory days, making a living defending drug dealers.
Two things happen which begin to wake Woods out of his stupor; one is Downey's character, who is becoming a something of a Jimminy Cricket conscience to him, while the other is the case of a convict (played by Yuji Okumoto) who says he was sentenced for a murder he never committed. Woods is initially cynical, but begins to see parallels between his client's eight years of imprisonment and his own decline. But is his client telling the truth? There are some rather inexplicable mysteries about the gang shooting that sent Okumoto's character to prison, and (ironically for Woods, who has been using "conspiracy" as a plea for his clients for years) an organized resistance to releasing his client from prison, centering on the Manhattan District Attorney's decision to prosecute the reopening of the case (the D.A. is played by Kurtwood Smith, one of the more popular heavies these days, so you *know* he's up to something).
What the film boils down to is an old-fashioned mystery that is suspenseful and has its share of good twists along the way. All of this is spiced with Woods' growing surety that he is defending an innocent man, and fighting a good fight; his excitement in uncovering the mysteries surrounding the case are contagious. The script is excellent, and keeps things moving at all times; Woods and Downey make a good team, assisted by an upscale P.I. [private investigator] (played by Margaret Colin, who is getting typecast in this role) who knew Woods in his radical days. I will admit that there is a certain amount of Hollywood Courtroom Hokiness, but it's not at objectionable levels. And Woods, one of the best character actors around, keeps the high energy that has become his trademark under control, unleashing it in the courtroom finale where it really sparks.
Moriarty, aka Jeff Meyer INTERNET<EMAIL_ADDRESS>Manual UUCP: {uw-beaver, sun, hplsla, thebes, microsoft}!fluke!moriarty
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


Man's mix-up telling work he's taking sick day leads to colleagues making shrine
The email led to a shrine being created at his desk and a hashtag sending him prayers being used by thousands on Twitter
by Luke Matthews, https://www.mirror.co.uk/authors/luke-matthews/Calling in sick can always be a little daunting as you try to convey your illness over the phone to convince your boss of a genuine ailment.
Sending an email is the easier option, giving you time to choose your words carefully and side-stepping any chance of sounding somewhat excited for your upcoming duvet day.
When local TV reporter Nick Vasas felt a little under the weather yesterday, he decided to take the courtesy of emailing a few of his colleagues to let them know he wasn't going to be in.
Unfortunately for Nick, he made a monumental blunder leading to a flood of concerned emails, a shrine being created and the hashtag #PrayersForNick being widely used on Twitter .
Instead of telling the handful of colleagues who would be affected by his absence, the traffic reporter for Kansas City FOX4 accidentally emailed the thousands and thousands of employees of the entire company, made up of stations across the country, using the 'breaking news' contact list.
Employees were then bombarded with 'reply all' responses with concerns for Nick as well-wishers sent their 'thoughts and prayers' from as far as Buffalo and Las Vegas.
Many of the stations used the resources at their disposal to record messages in the news studios to spread the news of Nick's sick day.
It appeared the only station which didn't receive the email was the one it was intended for, with one of Nick's managers tweeting: "Grateful to report he and I have communicated and he is going to pull through.
 Funny enough, WE didn't get that email."

Nick took it all in his stride, responding to the messages and thanking people for their thoughts as he recovered from minor oral surgery the day before.
Not everyone saw the funny side, as the company issued an all-staff email to say: "I hate to be a party pooper and I have as much sympathy for Nick as anyone.
"But with the number of members of the breaking news list there could be thousands of emails sent by the time this is done."
The group was locked down to ensure it was only being used for big breaking news stories, which could be missed among the stream of get well messages.
One replied: "They can take away our emails, but they can't take away our #PrayersForNick."
Hang in there buddy, we're all with you.


| ||
| detail: element | attribute | value |
Data Structure { "typeId": "com.tintri.api.rest.v310.dto.domain.beans.hardware.ApplianceIpmi", "gateway": <String>, "ipA": <String>, "ipB": <String>, "isEnabled": <Boolean>, "netmask": <String>, "password": <String>, "username": <String>, "vlanId": <String>, } |
| Name | Type | Description |
|---|---|---|
| gateway | xsd:string | The gateway address for IPMI. |
| ipA | xsd:string | The first IP address. |
| ipB | xsd:string | The second IP address. |
| isEnabled | xsd:boolean | 'True' indicates that IPMI is enabled. 'False' indicates that IMPI is disabled. |
| netmask | xsd:string | The netmask for IPMI. |
| password | xsd:string | The user password for IMPI. |
| username | xsd:string | The user name for IMPI. |
| vlanId | xsd:string | The VLAN ID for IPMI. |
| ||
| detail: element | attribute | value |


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Previous Demo
Back to the Codrops Article
Animated SVG Icons
Using Snap.svg to animate SVG icons
With different speeds & easings
Different size & animation on hover
If you enjoyed these effects you might also like:
Animated Checkboxes with SVG
Icon Hover Effects


public abstract class CustomTextTraitsControl<Entity extends Word>
extends java.lang.Object
This class implements an editor for custom text traits. It handles a panel of labeled text fields and a button.
Each textfield is used to edit a custom text trait value.
The labels of the text fields can be edited to change the
name of the traits. Next to the label there is also
a button to delete the corresponding custom trait, and another button to
edit the trait description.
The panel containing all the text fields
can be retrieved with getTextFieldsPanel()
.
The button is used to add new custom traits. This button can be
retrieved using getAddButton()
.
In order to use this class you need to provide the implementation of the abstract methods, which provides information about the concept owning the traits (Actor, Stage or Prop).
| Modifier and Type | Class and Description |
|---|---|
class |
CustomTextTraitsControl.DescriptionPopupDispatcher |
static class |
CustomTextTraitsControl.Test |
| Modifier and Type | Field and Description |
|---|---|
static int |
TRAIT_HEIGHT
Height used for each trait.
|
| Constructor and Description |
|---|
CustomTextTraitsControl(Swat sw,
Deikto.TraitType traitType)
Constructs a CustomTraitsControl for editing traits of the given
trait type.
|
| Modifier and Type | Method and Description |
|---|---|
javax.swing.JButton |
getAddButton()
Gets the button for adding traits.
|
javax.swing.JComponent |
getTextFieldsPanel()
Gets the panel containing the trait sliders.
|
void |
init(Deikto dk) |
void |
refresh()
Updates the text fields to show the trait values of the entity being edited.
|
public CustomTextTraitsControl(Swat sw, Deikto.TraitType traitType)
public void refresh()
public void init(Deikto dk)
public javax.swing.JButton getAddButton()
public javax.swing.JComponent getTextFieldsPanel()


This is the code for python 2. There are some lines that do not work with python 3 because of the grammar changes.
adapted from ‘data_containers.ipynb’ by Eric Firing at Univ. of Hawaii
Let’s start with numbers.
Python’s system of numbers is quite simple: there are
True
or False
) typesThe types are determined dynamically, so operations involving integers and floating point numbers yield floating point numbers.
print 1 + 2
print 1.0 + 2
print(1 + 2)
3
3.0
3
Division can be tricky because traditional computer languages use integer division on integers. This was the case by default with Python 2.
print 4/3
print 4.0/3
1
1.33333333333
There are some built-in functions that operate on numbers, e.g.:
print int(4/3)
print round(4/3)
print abs(4.2 - 5) # Note binary floating point inability
# to represent a decimal number exactly.
print pow(2, 3)
1
1.0
0.8
8
The pow()
function can be replaced by
print 2**3
8
For more math functions, one can import the math
module from the standard library:
import math
print(math.sin(1))
print(math.sqrt(2))
0.841470984808
1.41421356237
We will rarely use the math
module, however, because numpy
provides the same functionality and much more.
Boolean values are either True
or False
, and result from conditional expressions like this:
print("1 > 2 is", 1 > 2, "but 1 < 2 is", 1 < 2)
('1 > 2 is', False, 'but 1 < 2 is', True)
Here is a more complex conditional expression:
print(1 > 2 or 3 < 4)
True
Python strings can be created with the str()
function, and as literals using single quotes, double quotes, triple single quotes, or triple double quotes. The triples can enclose blocks of text spanning multiple lines. The following are all valid strings, each assigned to a variable name:
a = 'Single quotes'
b = "Double quotes"
c = "a string that has 'single quotes' inside it"
d = """This is a multiline
sentence string, ending with a linefeed.
"""
e = '''
This is also valid. It starts and ends with a linefeed.
'''
for example in (a, b, c, d, 3):
print(example)
Single quotes
Double quotes
a string that has 'single quotes' inside it
This is a multiline
sentence string, ending with a linefeed.
3
Strings can be added (concatenated):
print(d + e)
This is a multiline
sentence string, ending with a linefeed.
This is also valid. It starts and ends with a linefeed.
Tuples and lists are very general sequences–that is, they are containers that preserve order, and they can contain any kind of object at all. There is one big practical difference: tuples are immutable, lists are mutable.
To create a tuple from scratch, use round parentheses and commas.
t1 = (1, 2)
t2 = (3, (4, 5), 7, 8, "some string")
print t1
print t2
print t1+t2
print t1*2
(1, 2)
(3, (4, 5), 7, 8, 'some string')
(1, 2, 3, (4, 5), 7, 8, 'some string')
(1, 2, 1, 2)
Lists have many methods, and support addition and multiplication:
a = ["list1", 1, 2]
b = ["list2", 3, 4]
print a + b
print a * 2
c = a.extend(b) # 'extend' adds elements to the end (assigning to c only to suppress printing)
print a # This is identical to the sum, a + b, above.
c = a.append(b) # 'append' addes the argument as a whole
print a
['list1', 1, 2, 'list2', 3, 4]
['list1', 1, 2, 'list1', 1, 2]
['list1', 1, 2, 'list2', 3, 4]
['list1', 1, 2, 'list2', 3, 4, ['list2', 3, 4]]
Lists, tuples, and strings all support the same indexing syntax.
# Using the built-in "range" function,
# make a list on which we can practice indexing:
x = list(range(0, 100, 10))
print(x)
print range(0,100,10)
[0, 10, 20, 30, 40, 50, 60, 70, 80, 90]
[0, 10, 20, 30, 40, 50, 60, 70, 80, 90]
Take the first 5 values, then the last 5 values:
print(x[:5])
print(x[-5:])
[0, 10, 20, 30, 40]
[50, 60, 70, 80, 90]
See how easy that was? Now take every second value starting from the second (index 1):
print x[1::2]
[10, 30, 50, 70, 90]
[40, 30, 20, 10, 0]
In the above examples we are indexing a list with a slice, so we are getting a list back, even if it has only one element in it, or if it is empty. If we want to get an element from the list, then we index with a single integer:
print(x[0])
print(x[-1])
0
90