Beef Tips in Gravy on Sour Cream Mashed Potatoes
Tender chunks of meat in a rich brown gravy poured over sour cream mashed potatoes, made in a pressure cooker. This recipe is a modification of the Texas Cafe Classics Sirloin Tips Recipe by Mark Rippetoe.
Ingredients
- Any lean, tough cut of meat (ex. round steak)
- Unprocessed animal fat of some kind (ex. beef suet, mutton fat)
- Potatoes
- Sour cream
- Butter
- Milk
- Shredded cheese of your choice
- Small amount of flour
- Beef bouillon (optional)
- Red wine (optional)
Directions
Beef Tips in Gravy
- Throw your pressure cooker with an open lid onto high heat or turn it onto saute mode if it’s electric
- Chop up the fat into very small, uniform cubes or strips and begin to saute it in the pressure cooker
- Chop up your meat into medium, uniform cubes or strips and add it to the fat
- Optional: If you are not using red wine as a deglaze in step 7 or are not cooking a large amount (~2+ pounds/~1+ kg) of meat, you may want to add a teaspoon or so of beef bouillon into the pressure cooker to intensify the beef flavor of the gravy
- Add a generous amount of salt and pepper to taste along with a tiny pinch of garlic powder and stir (be very conservative with the garlic powder)
- Once the meat is sufficiently browned off and there is a nice glaze forming on the bottom of the cooker, deglaze the cooker using hot water or red wine (optional) for more flavor.
- Put the top on your pressure cooker and allow the meat to cook for around 30 minutes on low heat while you prepare your mashed potatoes
- After half an hour, vent your pressure cooker, remove the lid, and put the cooker back on low heat
- Add a small amount of hot water until the liquid in the cooker is a bit more than the amount of gravy you want, then allow it to come to a boil
- In a small bowl, mix up some flour with warm water to the consistency of a very runny batter
- Very slowly begin adding flour water into the pot while constantly stirring until the gravy thickens and reaches the consistency you desire (it’s very easy to overthicken the gravy here, don’t overdo it!)
- Turn off the heat and plate on top of your sour cream mashed potatoes, shown below
Sour Cream Mashed Potatoes
- Peel and dice up your potatoes
- Boil them on medium heat in a pot of slightly salty water until they begin to fall apart when poked with a fork
- Turn off the heat and pour off the water
- Mash up the potatoes to the chunkiness you desire
- While the potatoes are still warm, add a generous amount of butter and shredded cheese and stir
- Add a very small amount of milk and stir (be conservative here, the sour cream will provide most of the softness of the mash)
- Begin adding sour cream and thoroughly mixing until the mash reaches your desired consistency
- Plate under your beef tips in gravy
Contributors
- Batu Cam – Transcribed recipe from Mark Rippetoe’s video with moderate to significant modifications based on experience – Monero (XMR) to help me save for an unazoomer cabin:
85eZ4uVd4gkiCsQEeDnsQG9pUbDzdi1r1VSJ9hK5Sx7hKsFZjvmqtWV7gU1ysWUR32jhWutBRGUUq8VAJNUfin9wBCCuTdg
- Mark Rippetoe – Original recipe author, creator of starting strength, and pink nationalist – Website
Recipe tags:
american
beef
potato


Steam leak sprays unknown debris in downtown Boston
by EndPlayBOSTON (AP) - Authorities are investigating after an underground steam pipe sprayed an unknown substance across a downtown Boston intersection.
Boston fire officials say hazmat crews responded to the area of 99 Summer Street around 5:30 a.m. Saturday after a steam leak left unknown debris in the area.
Photos of the scene show an ashy substance settled on a car and the nearby intersection.
City officials say the pipe is operated by Veolia, a water, waste and energy company. A representative did not immediately provide information.
Boston Fire Department spokesman Brian Alkins told The Boston Globe that officials are concerned the substance may be asbestos.
A portion of Summer Street has been shut down as authorities investigate. Fire officials say Veolia workers are testing the debris while hazmat technicians monitor the scene.


Order #123-1234567-1234567
Placed on Tuesday, March 3, 2020
Lindt Dark Chocolate Spread, 200g, 200 Grams
Grocery
Sold by Amazon.com.ca, Inc.
CDN$ 5.97
Love Good Fats 12 Bars
(chocolate chip Cookie Dough), 39 Grams
Grocery
Sold by love good fats
Condition: New
CDN$ 33.99
Item Subtotal:
Shipping & Handling:
Promotion Applied:
Estimated Tax (GST/HST):
Estimated Tax (PST/QST):
Order Total:
CDN$ 40.00
CDN$ 4.99
-CDN$ 4.99
CDN$ 3.04
CDN$ 0.00
CDN$ 43.04


Utilities API Reference¶
This page gives the Python API reference of utilities in CRTK.
:backlinks:none
Utilities API¶
-
CRTK.utilities.
get_opcode_list
(bytecode)¶ Convert bytecode to opcode list.
input: string output: list of lists
structure of an opcode: [address, bytecode, opcode, arguments if exist]
-
CRTK.utilities.
collapse_opcode
(opcode_list, collapse)¶ Collapse opcodes by certain level.
input: list of strings, int output: list of strings
collapse - 0: Count all opcodes including all the PUSH-like, DUP-like and SWAP-like ones. - 1: Collapse all PUSH-like opcodes to PUSH, DUP-like opcodes to DUP, SWAP-like opcodes to SWAP and LOG-like opcode to LOG. - 2: Drop PUSH-like, DUP-like and SWAP-like opcodes, then replace all LOG-like opcodes with LOG. - 3: Drop all PUSH-like, DUP-like, SWAP-like and LOG-like opcodes.
-
CRTK.utilities.
opcode_occurrence
(opcode_list, collapse=0)¶ Count ccurences of each opcode by a certain opcode sequence.
input: list of strings, int output: dict (string -> int)
collapse - 0: Count all opcodes including all the PUSH-like, DUP-like and SWAP-like ones. - 1: Collapse all PUSH-like opcodes to PUSH, DUP-like opcodes to DUP, SWAP-like opcodes to SWAP and LOG-like opcode to LOG. - 2: Drop PUSH-like, DUP-like and SWAP-like opcodes, then replace all LOG-like opcodes with LOG. - 3: Drop all PUSH-like, DUP-like, SWAP-like and LOG-like opcodes.
-
CRTK.utilities.
get_function_signatures_list
(opcode_list)¶ Get all the funtcion signatures within given opcode.
input: list of lists output: list
structure of an opcode: [address, bytecode, opcode, arguments if exist]
-
CRTK.utilities.
check_ERC_standard
(function_signatures, standard='ERC20')¶ Check if contract follows certain ERC standards.
input: list, string output: bool
standard - ERC20: Check if the contract follows ERC20. - ERC721: Check if the contract follows ERC721. - ERC777: Check if the contract follows ERC777.
-
CRTK.utilities.
split_bytecode
(bytecode)¶ Split contract creation code.
input: string output: tuple
structure of contract creation code +———————–+ | Deployment Bytecode | +———————–+ | Runtime Bytecode | +———————–+ | BZZR: Swarm Source | +———————–+ | Constructor Arguments | +———————–+


To see the Grand Olympiad Stadium
* Please select the number of stadium which you want to watch.
1 ~ 22 stadiums
23 ~ 44 stadiums
45 ~ 66 stadiums
67 ~ 88 stadiums


this is just a place holder for your text content
-
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque a enim elementum massa placerat scelerisque.
- This is just a place holder$ 000
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-
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Etiam bibendum sagittis justo at porttitor. Sed tempor lacus in nibh iaculis non interdum tellus porta. Morbi nulla urna, ultrices id ultrices quis, lacinia at dolor.
- This is just a place holder$ 000
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-
this is just a place holder, so you can see what the site would look like.
Sed tempor lacus in nibh iaculis non interdum tellus porta. Morbi nulla urna, ultrices id ultrices quis, lacinia at dolor.
- This is just a place holder$ 000
-
this is just a place holder
Morbi nulla urna, ultrices id ultrices quis, lacinia at dolor.
- This is just a place holder$ 000
- This is just a place holder$ 000
-
this is just a place holder, so you can see what the site would look like.
Sed tempor lacus in nibh iaculis non interdum tellus porta. Morbi nulla urna, ultrices id ultrices quis, lacinia at dolor.
- This is just a place holder$ 000
-
we have free templates for everyone
This website template hahs been designed by Free Website Templates for you, for free. You can replace all this text with your own text. You can remove any link to our website from this website template, you're free to use this website template without linking back to us. If you're having problems editing this website template, then don't hesitate to ask for help on the Forums.


The Nuxeo Adobe CC Connector addon enables designers to import assets into an InDesign, Photoshop or Illustrator document directly from Nuxeo repository.
Releases Notes
Version
for Users
for Developers
for Administrators
1.0
Photoshop:
- Open / Update / Delete pictures and PSD projects
InDesign and Illustrator:
- Place pictures


THtmlViewer component
procedure Reformat;
The Reformat method causes the layout of a document to be recalculated. This may be necessary after using IDDisplay to hide or show a block of text.
IDDisplay Property


Whether you need to add a title or not to your login panel, you would use simpleLoginTitledPanel() or simpleLoginPanel() nodes. The
only difference is the latter uses one attribute called "title".In the snapshot above you can see a simpleLoginTitledPanel().Why this component? Well I was using the JXLogin panel from org.jdesktop components and I realized I needed a validation message area
to show users what they did wrong during the login process. Then I built a simple login panel, with a validation message area.Here you have the available properties from login components:| Name/id | Getter(Java Accessor) |
|---|
| username | getUsername() |
| usernameLabel | |
| password | getPassword() |
| passwordLabel | |
| acceptButton | getAcceptButton() |
| cancelButton | getCancelButton() |
| validationMessage | getValidationMessage() |
Right now there's an issue in LoginTitledPanel and the login panel itself can't be accessed from within its JXTitledPane. It
will be fixed in the next version. So meanwhile you can nest a simpleLoginPanel() inside a JXTitledPanel from swingx components. It will be
The View
package plugintesterapplication(title: 'PluginTester',
preferredSize: [320, 240],
pack: true,
//location: [50,50],
locationByPlatform:true,
iconImage: imageIcon('/griffon-icon-48x48.png').image,
iconImages: [imageIcon('/griffon-icon-48x48.png').image,
imageIcon('/griffon-icon-32x32.png').image,
imageIcon('/griffon-icon-16x16.png').image]) {
borderLayout()
simpleLoginPanel(id:'loginPanel',constraints:CENTER)
}
The Controller
The controller just initializes the validation message area telling asking the user username and passwordpackage plugintesterclass LoginController {
def model
def view void mvcGroupInit(Map args) {
view.loginPanel.validationMessage.text='Please fill username and password'
}
}


#617 Bua, Tuding, Itogon, Benguet
+63.927.387.9571
<EMAIL_ADDRESS>Primary :Pacalso Elementary School :Bua, Tuding, Itogon, Benguet :March 2009
Secondary :AMPMNHS (Main) :Bua, Tuding, Itogon, Benguet :April 2013
Tertiary :Bachelor of Science in Information Technology :Network and Security Track :Gov. Pack Rd., Baguio City :Expected Date of Graduation: August 2018
Well-informed in CISCO LAN Switches and routers, installation and configuration (CCNA1 to CCNA 4)
Well versed with Adobe Photoshop and Adobe After Effects
Basic knowledge in the following: HTML, Java, and MySql
60WPM Typist
Multilingual – Ilocano, Kankana-ey, Tagalog, English
Cisco Networking Academy® Introduction to the Internet of Everything Apr 19, 2016
Cisco Networking Academy® “Internet of Everything” Career Advantage Webinar Series


CPU core counts continue to grow, along with the raw speed of networking and storage devices available on a modern system. Software design approaches that were valid and safe even a few years ago are no longer sustainable. On new hardware, the performance of standard workloads depends more on locking and coordination across cores than on performance of an individual core.
The team behind the KVM hypervisor and the OSv unikernel is moving up the stack. The Seastar platform enables extreme high-throughput, low-latency applications on Linux, and can make existing real-world workloads run completely asynchronously.
Seastar uses shared-nothing data structures that eliminate costly locking between CPUs, and a dedicated user-space TCP implementation that runs on DPDK. These radical changes in the server design translate into 5X-10x performance gain while preserving all of the Cassandra goodies.
The speaker is the co-founder and CEO of ScyllaDB.
ScyllaDB: the power of Cassandra with the speed of Redis
ScyllaDB: The advantages of Cassandra: Awesome redundancy and High Availability
ScyllaDB: Shard-per-core


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--- layout: default title: Blog Posts by Tag desc: "A list of Joe's blog posts organized by tags" permalink: /tag/ --- {% for post in site.works reversed %} {% if page.tags == "Original" %}


Match Play. Red trails 1-4 (Crawford) to 5. How should Red play 51?
pips Red=83 White=173
(CorrectAnswer= 0/0, ErrorScore= 0)
Red needs to take this opportunity to clear his outer board points.
8/7, 6/1 leaves no shots but two stripped outer board points which should set alarm bells ringing.
8/3, 6/5 is better but only the third best move.
The best move is 8/7, 8/3, starting to clear the most difficult point and giving perfect duplication of fours and sixes. This the right moment to take a risk.
8/7, 6/1 leaves no shots but two stripped outer board points which should set alarm bells ringing.
8/3, 6/5 is better but only the third best move.
The best move is 8/7, 8/3, starting to clear the most difficult point and giving perfect duplication of fours and sixes. This the right moment to take a risk.
1. Cubeful 2-ply 8/7 8/3 Eq.: +0.459 0.569 0.312 0.017 - 0.431 0.054 0.001 2. Cubeful 2-ply 8/3 6/5 Eq.: +0.457 (-0.002) 0.569 0.310 0.015 - 0.431 0.058 0.001 3. Cubeful 2-ply 7/1 Eq.: +0.396 (-0.063) 0.544 0.299 0.014 - 0.456 0.061 0.001 4. Cubeful 2-ply 8/3 7/6 Eq.: +0.380 (-0.079) 0.541 0.290 0.016 - 0.459 0.063 0.001 5. Cubeful 2-ply 8/7 6/1 Eq.: +0.370 (-0.089) 0.538 0.286 0.010 - 0.462 0.063 0.001


Files | |
| file | addrspace.cc |
| file | addrspace.h [code] |
| file | copyright.h [code] |
| file | copyright_insa.h [code] |
| file | elf32.h [code] |
| file | exception.cc |
| file | fixedpriorityscheduler.cc |
| file | fixedpriorityscheduler.h [code] |
| file | main.cc |
| file | msgerror.cc |
| file | msgerror.h [code] |
| file | process.cc |
| file | process.h [code] |
| file | scheduler.cc |
| file | scheduler.h [code] |
| file | switch.h [code] |
| file | synch.cc |
| file | synch.h [code] |
| file | syscall.h [code] |
| file | system.cc |
| file | system.h [code] |
| file | thread.cc |
| file | thread.h [code] |


Marine Who Fought At Iwo Jima Recalls A Japanese Soldier Who Asked for Hot Chocolate
There is humor in combat.
by Paul SzoldraKey point: Soldiers share experiences, even when on opposite side of the battlefield.
The Battle of Iwo Jima, which began Feb. 19, 1945, was one of the bloodiest battles in Marine Corps history, as former Cpl. Don Graves knows firsthand and will never forget.
He'll also never forget the time a Japanese soldier smelled hot chocolate being brewed near him and called out for him to bring him some. The moment, as he recounted in a video posted to the Marine Corps Facebook page Tuesday, was almost like the Christmas truce that wasn't.
Sitting in a fox hole with two other Marines on the fifth week of the battle, he said, Graves decided to make himself some hot chocolate. "So my other two buddies, they said, 'make enough for three of us.'"
So there he was, slicing up his chocolate ration with a Ka-Bar and chopping it into a powder.
"Just a nice little fire going, and we sat there and we watched it," he said. "And then all of sudden I could smell hot chocolate."
Of course, so could everyone else, including enemy soldiers.
A few minutes later, he heard a Japanese voice calling out to him, "hey Marine, very good chocoletto. You bring chocoletto here."
 "He says, 'oh no, you bring here,'" Graves said, laughing.
"There's humor in combat. Every man that's been in combat knows that sometimes funny things happen."
This article originally appeared at Task & Purpose. Follow Task & Purpose on Twitter . This article first appeared in 2019.
Image : Wikipedia.


Petitions Details for | {{ object.name }} | {{ object.prisonno }} | {{ object.prison }}
This shows all the information that have been entered int the petition form
{% if perms.petitions.change_petitionform %}
{% else %}
{% if object.added_by == user %}
{% if object.created|date:"Y-m-d" == today|date:"Y-m-d" %}
{% endif %}
{% endif %}
{% endif %}
{% if perms.petitions.delete_petitionform %}
{% endif %}
| Name | {{ object.name }} | |
| Prison Number | {{ object.prisonno }} | |
| Prison | {{ object.prison }} | |
| Nationality | {{ object.nationality }} | |
| Court Case No | {{ object.courtcaseno }} | |
| Date of conviction | {{ object.dateofconviction }} | |
| Date of Custody | {{ object.dateofcustody }} | |
| Sentence | {% if object.convictedforlife == True %}LIFE IMPRISONMENT | {% else %}{{ object.sentence }} YEARS IMPRISONMENT | {% endif %}
| Court | {{ object.court }} | |
| Age at conviction | {{ object.ageatconviction }} YEARS | |
| Current Age | {{ today.year|sub:object.dateofconviction.year|add:object.ageatconviction }} YEARS | |
| Period Spent in Custody | {{ today.year|sub:object.dateofcustody.year }} YEARS | |
| Age when offense was committed | {{ object.agewhenoffensewascommited }} YEARS | |
| Naxt of Kin | {{ object.nextofkin }} | |
| Relation with next of kin | {{ object.relationshipwithnextofkin }} | |
| Contact Person | {{ object.contactperson }} | |
| Tel No. of contact person | {{ object.telnoofcontactperson }} | |
| Home County | {{ object.county }} | |
| Home Subcounty | {{ object.subcounty }} | |
| location | {{ object.location }} | |
| Nearest School | {{ object.nearestschool }} | |
| Name of Home Chief | {{ object.homechief }} | |
| Where the offense was committed | {{ object.whereoffensewascommitted }} | |
| Relief Sought | {{ object.reliefsought }} | |
| Offence | {{ object.offence }} | |
| The nature, particulars and circumstances surrounding the commission of the offence | {{ object.natureandparticularsofoffense }} | |
| Were you charged alone fro the offense? | {% if object.chargedalonefortheoffense == True %}Yes | {% else %}No | {% endif %}
| Names of Co-Accused | {{ object.namesofcoaccused }} | |
| Do you the victim of the offense for which you were charged? | {% if object.knowledgeofthevictim == True %}Yes | {% else %}No | {% endif %}
| Name of the Victim | {{ object.nameofvictim }} | |
| Area of residence of the victim | {{ object.areaofresidence }} | |
| Previous Convictions | {{ object.previousconvictions }} | |
| Has the petitioner made any previous petition? | {% if object.previouspetition == True %}Yes | {% else %}No | {% endif %}
| Date of previous petition | {{ object.dateofpreviouspetition }} | |
| Reason of denial of previous petition | {{ object.reasonofdenialofpreviouspetition }} | |
| Reasons for current petitioning | {{ object.reasonforcurrentpetition }} | |
| Have you had any disciplinary action taken against you while in prison? | {% if object.anydisplinaryactioninprison == True %}Yes | {% else %}No | {% endif %}
| Details of disciplinary action in prison | {{ object.detailsofdisplinaryactioninprison }} | |
| Any special condition e.g physical ability challenges, terminal sickness, very sickly, mental health etc? | {% if object.anyspecialcondition == True %}Yes | {% else %}No | {% endif %}
| Details of special condition | {{ object.detailsofspecialcondition }} | |
| Are you a trustee? | {% if object.areyouatrustee == True %}Yes | {% else %}No | {% endif %}
| Date of promotional to trustee | {{ object.dateofpromotiontotrustee }} | |
| Are you recognized for special attributes, achievement or skills attained in prison? | {% if object.anyspecialattributesorskills == True %}Yes | {% else %}No | {% endif %}
| Explanation of special attributes and skills | {{ object.explanationofspecialattributesorskills }} | |
| Did you appeal against the conviction? | {% if object.appealedagainsttheconviction == True %}Yes | {% else %}No | {% endif %}
| Appeal case Numbers | {{ object.appealcaseno }} | |
| Appeal Outcome | {{ object.appealoutcome }} | |
| Do you have any pending court matter even if not related to your conviction? | {% if object.anypendingcourtmatter == True %}Yes | {% else %}No | {% endif %}
| Explanation of pending court matter | {{ object.explanationofpendingcourtmatter }} | |
| Petition Submitted By | {{ object.added_by }} | |
| Petition submitted on | {{ object.created }} | |
| Petition last Updated By | {{ object.updated_by }} | |
| Petition last updated on | {{ object.last_updated }} |
{% if perms.petitions.change_petitionform %}
{% else %}
{% if object.added_by == user %}
{% if object.created|date:"Y-m-d" == today|date:"Y-m-d" %}
{% endif %}
{% endif %}
{% endif %}
{% if perms.petitions.delete_petitionform %}
{% endif %}


GAMESBOND is a game review website emphasis on the connections between reviewers. Not only are users able to write and view reviews on the game, they can also track a specific game or reviewer they like, and receive notifications on their
newest reviews. We have also implemented algorithms to give game recommendations based on the browsing history.
Team:
Kenny Cheung
Luke Yang
We were a small team of 2. My role was to implement the website’s front, back-end, and design the user experience of the site. My teammate was responsible to gather and perform data wrangling with the game database.
The website is written in PHP, while the database management are done in SQL. To develop without hosting the site on a server, we used XAMPP package.
Our website features a search engine for games. Based on the keyword entered combined and the genre checkbox selections, we will have to filter and return a collection of games with SQL queries. Combine and forming the selection data and using Ajax to update the search engine in real-time was quite challenging to correctly implement it.
With only 2 months, we were not able to implement all the features that we planned for, and or to improve the user experience of the site further. For example, we planned to implement an on-boarding experience where users can pick games they
are interested in in a bubble view, so that we can retrieve some initial data about the user, in order to give recommendation without any browsing history.
I have gained experience in php and sql, but most importantly, the experience to work with a new language, and immediately apply it onto a project. I have thoroughly enjoyed the process, tackling the challenge of ajax and complicated sql
query building was thrilling.


The great Pokemons list
List all the available Pokemons
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of
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id no.
name
HP
Please wait while content is loading...


Hello %NAME%,
This is to confirm, that we received your application. Below are the details. Please reply to this email immediately if you see any inconsistencies.
Contact informaition |
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email: requests14@1translate.com


|
Terence Henriod
Rush Hour: Breadth First Search
Rush Hour: Breadth First Search
|
The driver program for a fast Rush Hour Solver. More...
#include <cstdlib>
#include <iostream>
#include <iomanip>
#include <string>
#include <queue>
#include <map>
#include "GameState.h"
Functions | |
| int | solveRushHour (int numCars, GameState initial, queue< GameState > statesToEvaluate, map< string, int > observedStates) |
| int | main () |
Variables | |
| const int | kUnsolvable = -8 |
The driver program for a fast Rush Hour Solver.
Rush Hour: Breadth First Search
| int main | ( | ) |
main
The driver of a Rush Hour solver. Reports the number of moves required to solve given rush hour puzzles.
| int solveRushHour | ( | int | numCars, |
| GameState | initial, | ||
| queue< GameState > | statesToEvaluate, | ||
| map< string, int > | observedStates | ||
| ) |
solveRushHour
Finds the lowest number of moves required to find the solution to a Rush Hour puzzle. If a solution cannot be found, an error code is returned.
| numCars | The number of cars to be used in a given puzzle. |
| initial | The initial board for a given problem. |
| statesToEvaluate | A queue that will be used in a breadth first search to contain every game state that will be considered. |
| observedStates | A map used to contain an identifying key string that contains vehicle list data used to check to see if a state has already been considered. |
| const int kUnsolvable = -8 |


Wharf Manager Felton:
Is there anything else you want to ask? I think I told you about the location of the shipwreck, so go check it out.


See DateTextBox for a discussion of supported date formats.
By default, a DateComboBox's dropdown icon is a downward-pointing arrow. This can be changed to a calendar icon to both suggest to the user which type of data the field accepts and to indicate what will appear if the clicks the button. A useful set of free calendar icons can be found in the Iconic icon set, available under the Creative Commons Attribution-ShareAlike license. One of the Iconic calendar icons is shown in the demo above.
This control was the subject of a user interface blog post.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 6
James Martin's mild kedgeree is perfect for a weekend brunch and on the table in half an hour.
Cook the onion gently in the butter for a few minutes, then add the rice.
Continue cooking gently and stirring, adding the curry powder and nutmeg. After a few minutes, add the milk, cream and 250ml/9fl oz water.
When the mixture begins to simmer, add the fish and continue simmering, stirring occasionally until the rice is cooked. (You may need to add a little water if the mixture becomes dry.)
Season, add the parsley and stir. Add the eggs and garnish with cayenne and nutmeg if using. Serve topped with a knob of butter and wedges of lemon.


You must include the following jQuery code in the head element.
<script type="text/javascript" src="scripts/jquery-1.7.2.min.js" ></script> <script type="text/javascript" src="scripts/jquery-ui-1.8.22.custom.min.js" ></script> <script type="text/javascript" src="scripts/jquery.hover-transitions-1.0.min.js" ></script>
The jQuery UI custom code includes the slide and scale effects and the effects core. These are required
<a id="p1" class ="button" href="http://codecanyon.net">Press </a>
.button { font-weight:normal; font-size: 20px; background-color: #2EA6FF; color: #fff; border-radius: 25px; padding: 30px; }
Those will be the style properties for the initial appearance of the element; some of these properties can also be set via the HoverTransitions plugin properties code. The style of the object after the animation can be defined by creating another class for it or directly via the plugin properties code.$('#p1').hover_transitions({ innerHTML_two : "Me", background_color_two: "#ff286c", pattern : "spiral" });
Please note that the last property must not have a trailing comma in order for it to work in Internet Explorer 7.| Property | Default Value | Description |
|---|---|---|
| pattern | "diagonal" | Animation pattern. Possible values: "diagonal", "regular", "spiral", "crossing", "corners_alt", "skip_rows", "skip_columns", "checks", "zip", "random", "corners" and "wave". |
| flip_pattern_horizontal | false | Flip the patterns horizontally. |
| flip_pattern_vertical | false | Flip the patterns horizontally. |
| rotate_pattern | false | Rotate the pattern by 90 degrees. |
| pattern_reflection | 1 | Reflect a pattern. Accepts values 1, 2 and 4. Only works with "diagonal", "crossing", "zip" and "regular" patterns. |
| show_method | "fade" | The method used to male each box appear. Possible values: "fly", "fade", "puff", "grow", "sliding_doors_horizontal", "sliding_doors_vertical", "alt_slide_vrtical", "alt_slide_horizontal", "slide_up", "slide_down", "slide_left", "slide_right", and "instant". |
| hide_method | "fade" | The method used to hide each box. Accepts the same values as the show method. The show and hide methods do not need to be the same. |
| fly_show_direction | "random" | The flight path of the boxes when the fly method is used. Possible values: "random", "up", "down", "left", "right", "split_vertical", "split_horizontal", "alt_vertical", and "alt_horizontal". |
| fly_hide_direction | "random" | Accepts the same values above but the hide and show values do not need to be the same. |
| fly_hide_fade_speed | 300 | Duration in milliseconds. The amount of time taken for the boxes to fade away once they have reached their destination. |
| fly_distance | 100 | The flight distance in pixels away from the target element. |
| rows | 6 | The number of rows in the pattern. |
| cols | 6 | The number of columns in the pattern. |
| pattern_speed | 30 | The time interval (in milliseconds) between the animation of each box in a pattern. |
| show_speed | 500 | The time in milliseconds taken for the show effect to be completed for each box. |
| hide_speed | 500 | The time in milliseconds taken for the hide effect to be completed for each box. |
| event_mode | "hover" | Accepts values "hover", "click" and "none". The event method with which the animation will be controlled. Use "none" if you don’t want the element to react to any events (e.g. if another element is controlling the animation of this element). |
| rewind_on_mouse_out | true | Specifies if the animation can be reversed or not. |
| display text_decoration text_align |
"inline-block" "none" "center" |
These are CSS properties which have been preset with default values because it is anticipated that the plugin will mainly be used to create buttons. They can be overruled. |
| Property | Example Value | Description |
|---|---|---|
| alt_hover_control | "#alt_hover" | The jQuery selector of the alternative element that will control the hover event. |
| alt_click_control_one | "#alt_click_one" | The jQuery selector of the alternative element that will control the show animation when clicked. If the alt_click_control_two property is not set then this will control the hide animation on toggle. |
| alt_click_control_two | "#alt_click_two" | The jQuery selector of the alternative element that will control the hide animation when clicked. |
| innerHTML_two | "me" | The contents of the element after animation. |
| image_src_two | "picture.jpg" | If the element is an image, this will set the src of the image to be animated. |
| class_one | "button" | Element CSS class prior to animation. |
| class_two | "button_hover" | Element CSS class after animation. It will remove class_one after animation, if it has been set. |
| height_one | "100px" | The inner height of the element. |
| width_one | "100px" | The inner width of the element. |
| font_size_one | "13px" | Font size prior to animation. |
| font_size_two | "13px" | Font size after animation. |
| font_family_one | "Arial" | Font family prior to animation. |
| font_family_two | "Times" | Font family after animation. |
| background_color_one | "red" | Background color prior to animation. |
| background_color_two | "#369" | Background color after animation. |
| color_one | "black" | (Text) Color prior to animation. |
| color_two | "blue" | (Text) Color after animation. |
| border_radius_one | "20px" | Border radius prior to animation. |
| border_radius_two | "20px" | Border radius after animation. |


---
layout: post
title: Cloud 2012 and SophosLabs and Scala, Oh my!
categories:
- Linux
- Networking
- Opensource
- Programming
- Rants
- Scala
tags: []
status: publish
type: post
published: true
comments: true
meta:
_edit_last: '1'
---
It's been a long while since I last posted anything, I thought I would summarize a few of the things that have occurred lately. The first of which is that the research paper based on my graduate research was presented at the IEEE Cloud 2012 conference in Hawaii in June. Dr. Onat Yazir presented the work for me as I wasn't able to attend. For anyone interested, the paper can be found here.
In addition to this news, I have accepted a Linux Development position at Sophos (SophosLabs) in Vancouver BC. I have been there for about a month now and am having a lot of fun. In particular, I've been playing a lot with the Scala programming language. In combination with the 3rd-party Akka library, Scala provides an extremely powerful set of tools for building distributed systems using the Actor model. I must admit, I originally resisted many of the changes in thinking required for effective use of the Actor model and Scala, especially coming from my favouritism towards C and Python. Scala actors however, have begun to restore my faith in the JVM (what's that you say?). I suggest you give it a shot, I think you'll be pleasantly surprised.


--- layout: post title: James tells it like it date: 2005-01-09 00:00:00 categories: hilarity personal ---
James tells it like it is: ""The end of the world isn't going to look like Mad Max, the Day After Tomorrow or anything histrionic like that. It's going to be Blackpool on a global scale.


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Inherited from UdpConnection.
More...
|
| def | AskData (self) |
| | Request data to the client. More...
|
| |
| def | RecvHeader (self) |
| | Wait for a reader that indicate information such as numbre of packet that the client will send Return the result of FormatHeader if received the header otherwise return false. More...
|
| |
| def | FormatHeader (self, header) |
| | Method for specify how to read the header. More...
|
| |
| def | RecvPackets (self) |
| | Method that receive all packets from client en gather it to restore data return a tuple like (data valid as boolean, data as byte array) More...
|
| |
| def | __init__ (self) |
| | Constructor that build the socket object. More...
|
| |
| def | Bind (self, host, port) |
| | Bind the socket to an adress. More...
|
| |
| def | ClearReception (self) |
| | This method is a way to clear the reception buffer. More...
|
| |
| def | WaitMsg (self, size, timeout=0, type_message="") |
| | Wait for a specifed time a message from the client Return a tuple like (message length, message), (0,0) when message is not received. More...
|
| |
| def | WaitConnection (self, timeout=10) |
| | Wait a client connection. More...
|
| |
| def | IsConnected (self) |
| | Indicate if a client is connected Return a boolean, true : client connected. More...
|
| |
| def | EnableEcho (self) |
| | Allow the socket to display informations in the console. More...
|
| |
| def | DisableEcho (self) |
| | Disable console informations. More...
|
| |
| def | Exit (self) |
| | Send a byte that indicate an end of connection and delete client adress. More...
|
| |
Inherited from UdpConnection.
Udp server for asking data in byte format to connected client.
◆ AskData()
| def CameraSocket.UdpDataSocket.AskData |
( |
|
self | ) |
|
◆ FormatHeader()
| def CameraSocket.UdpDataSocket.FormatHeader |
( |
|
self, |
|
|
|
header |
|
) |
| |
Method for specify how to read the header.
Return a dictionnary containing informations must be overriden
- Parameters
-
Reimplemented in CameraSocket.CameraSocket.
◆ RecvHeader()
| def CameraSocket.UdpDataSocket.RecvHeader |
( |
|
self | ) |
|
Wait for a reader that indicate information such as numbre of packet that the client will send Return the result of FormatHeader if received the header otherwise return false.
◆ RecvPackets()
| def CameraSocket.UdpDataSocket.RecvPackets |
( |
|
self | ) |
|
Method that receive all packets from client en gather it to restore data return a tuple like (data valid as boolean, data as byte array)
◆ data [1/2]
| string CameraSocket.UdpDataSocket.data = b"" |
|
static |
◆ data [2/2]
| CameraSocket.UdpDataSocket.data |
◆ data_readable
| bool CameraSocket.UdpDataSocket.data_readable = False |
|
static |
◆ header
| CameraSocket.UdpDataSocket.header |
The documentation for this class was generated from the following file:


nips nips2007 nips2007-192 nips2007-192-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Moulines Eric, Francis R. Bach, Zaïd Harchaoui
Abstract: We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, and consistency against ﬁxed alternatives is assessed. Finally, experimental evidence of the performance of the proposed approach on both artiﬁcial and real datasets is provided. 1
[1] D. L. Allen. Hypothesis testing using an L1 -distance bootstrap. The American Statistician, 51(2):145– 150, 1997.
[2] N. H. Anderson, P. Hall, and D. M. Titterington. Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates. Journal of Multivariate Analysis, 50(1):41–54, 1994.
[3] F. Bimbot, J.-F. Bonastre, C. Fredouille, G. Gravier, I. Magrin-Chagnolleau, S. Meignier, T. Merlin, J. Ortega-Garcia, D. Petrovska-Delacretaz, and D. A. Reynolds. A tutorial on text-independent speaker veriﬁcation. EURASIP, 4:430–51, 2004.
[4] K. Borgwardt, A. Gretton, M. Rasch, H.-P. Kriegel, Sch¨ lkopf, and A. J. Smola. Integrating structured o biological data by kernel maximum mean discrepancy. Bioinformatics, 22(14):49–57, 2006.
[5] H. Brezis. Analyse Fonctionnelle. Masson, 1980.
[6] C. Butucea and K. Tribouley. Nonparametric homogeneity tests. Journal of Statistical Planning and Inference, 136(3):597–639, 2006.
[7] E. Carlstein, H. M¨ ller, and D. Siegmund, editors. Change-point Problems, number 23 in IMS Monou graph. Institute of Mathematical Statistics, Hayward, CA, 1994.
[8] K. Fukumizu, A. Gretton, X. Sunn, and B. Sch¨ lkopf. Kernel measures of conditional dependence. In o Adv. NIPS, 2008.
[9] I. Gohberg, S. Goldberg, and M. A. Kaashoek. Classes of Linear Operators Vol. I. Birkh¨ user, 1990. a
[10] U. Grenander and M. Miller. Pattern Theory: from representation to inference. Oxford Univ. Press, 2007.
[11] A. Gretton, K. Borgwardt, M. Rasch, B. Schoelkopf, and A. Smola. A kernel method for the two-sample problem. In Adv. NIPS, 2006.
[12] P. Hall and C. Heyde. Martingale Limit Theory and Its Application. Academic Press, 1980.
[13] P. Hall and N. Tajvidi. Permutation tests for equality of distributions in high-dimensional settings. Biometrika, 89(2):359–374, 2002.
[14] T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer Series in Statistics. Springer, 2001.
[15] E. Lehmann and J. Romano. Testing Statistical Hypotheses (3rd ed.). Springer, 2005.
[16] J. Louradour, K. Daoudi, and F. Bach. Feature space mahalanobis sequence kernels: Application to svm speaker veriﬁcation. IEEE Transactions on Audio, Speech and Language Processing, 2007. To appear.
[17] J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis. Cambridge Univ. Press, 2004.
[18] I. Steinwart, D. Hush, and C. Scovel. An explicit description of the reproducing kernel hilbert spaces of gaussian RBF kernels. IEEE Transactions on Information Theory, 52:4635–4643, 2006.
[19] G. Wahba. Spline Models for Observational Data. SIAM, 1990. 8


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|
|
void | ShowNextTree () |
| |
|
bool | SwitchTreeState () |
| |
◆ leafGenerator
A leaf generator used for space colonization trees.
◆ showingStationary
| bool FractalTree.Demo.DemoTreeCreator.showingStationary = true |
Showing a static or moving version of the tree.
◆ treeBuilders
| TreesToDemo [] FractalTree.Demo.DemoTreeCreator.treeBuilders |
A list of stationary and moving tree pairs with helper methods to switch between them.
◆ activeTree
| TreeBuilder FractalTree.Demo.DemoTreeCreator.activeTree |
|
get |
Gets the active tree or null if there is none.
The active tree.
The documentation for this class was generated from the following file:
- FT/Scripts/Demo/DemoTreeCreator.cs


The Story of Doctor Dolittle
by Hugh Lofting
Chapter 13: Red Sails and Blue Wings
Additional Information
- Year Published: 1920
- Language: English
- Country of Origin: England
- Source: Lofting, H. (1920). The Story of Doctor Dolittle . New York, NY: Frederick A. Stokes
-
Readability:
- Flesch–Kincaid Level: 4.2
- Word Count: 962
- Genre: Fantasy
- Keywords: adventure, helping others
- ✎ Cite This
Downloads
Sailing homeward, the Doctor's ship had to pass the coast of Barbary. This coast is the seashore of the Great Desert. It is a wild, lonely place—all sand and stones. And it was here that the Barbary pirates lived.
These pirates, a bad lot of men, used to wait for sailors to be shipwrecked on their shores. And often, if they saw a boat passing, they would come out in their fast sailing–ships and chase it. When they caught a boat like this at sea, they would steal everything on it; and after they had taken the people off they would sink the ship and sail back to Barbary singing songs and feeling proud of the mischief they had done. Then they used to make the people they had caught write home to their friends for money. And if the friends sent no money, the pirates often threw the people into the sea.
Now one sunshiny day the Doctor and Dab–Dab were walking up and down on the ship for exercise; a nice fresh wind was blowing the boat along, and everybody was happy. Presently Dab–Dab saw the sail of another ship a long way behind them on the edge of the sea. It was a red sail.
"I don't like the look of that sail," said Dab–Dab. "I have a feeling it isn't a friendly ship. I am afraid there is more trouble coming to us."
Jip, who was lying near taking a nap in the sun, began to growl and talk in his sleep.
"I smell roast beef cooking," he mumbled—"underdone roast beef—with brown gravy over it."
"Good gracious!" cried the Doctor. "What's the matter with the dog? Is he SMELLING in his sleep—as well as talking?"
"I suppose he is," said Dab–Dab. "All dogs can smell in their sleep."
"But what is he smelling?" asked the Doctor.
"There is no roast beef cooking on our ship." "No," said Dab–Dab. "The roast beef must be on that other ship over there."
"But that's ten miles away," said the Doctor. "He couldn't smell that far surely!"
"Oh, yes, he could," said Dab–Dab. "You ask him."
Then Jip, still fast asleep, began to growl again and his lip curled up angrily, showing his clean, white teeth.
"I smell bad men," he growled—"the worst men I ever smelt. I smell trouble. I smell a fight—six bad scoundrels fighting against one brave man. I want to help him. Woof—oo—WOOF!" Then he barked, loud, and woke himself up with a surprised look on his face.
"See!" cried Dab–Dab. "That boat is nearer now. You can count its three big sails—all red. Whoever it is, they are coming after us.... I wonder who they are."
"They are bad sailors," said Jip; "and their ship is very swift. They are surely the pirates of Barbary."
"Well, we must put up more sails on our boat," said the Doctor, "so we can go faster and get away from them. Run downstairs, Jip, and fetch me all the sails you see."
The dog hurried downstairs and dragged up every sail he could find.
But even when all these were put up on the masts to catch the wind, the boat did not go nearly as fast as the pirates'—which kept coming on behind, closer and closer.
"This is a poor ship the Prince gave us," said Gub–Gub, the pig—"the slowest he could find, I should think. Might as well try to win a race in a soup–tureen as hope to get away from them in this old barge. Look how near they are now!— You can see the mustaches on the faces of the men—six of them. What are we going to do?"
Then the Doctor asked Dab–Dab to fly up and tell the swallows that pirates were coming after them in a swift ship, and what should he do about it.
When the swallows heard this, they all came down on to the Doctor's ship; and they told him to unravel some pieces of long rope and make them into a lot of thin strings as quickly as he could. Then the ends of these strings were tied on to the front of the ship; and the swallows took hold of the strings with their feet and flew off, pulling the boat along.
And although swallows are not very strong when only one or two are by themselves, it is different when there are a great lot of them together. And there, tied to the Doctor's ship, were a thousand strings; and two thousand swallows were pulling on each string—all terribly swift fliers.
And in a moment the Doctor found himself traveling so fast he had to hold his hat on with both hands; for he felt as though the ship itself were flying through waves that frothed and boiled with speed.
And all the animals on the ship began to laugh and dance about in the rushing air, for when they looked back at the pirates' ship, they could see that it was growing smaller now, instead of bigger. The red sails were being left far, far behind.


--- layout: html title: Arthur Guiot / arguiot - personnal webiste description: Arthur Guiot's personnal webiste.- Landing page --- Arthur Guiot Also known as arguiot, I'm a student 👨🎓 who is interested in programming and math. Follow me: @arthur_guiot Latest project: TheoremJS TheoremJS is a Math framework for computation in JavaScript Descartes A small plotting JavaScript library, made for TheoremJS EyeJS EyeJS is a JavaScript testing framework for the real world DisplayJS A simple JavaScript framework for building ambitious UIs! Other projects Organizations All my organizations: CrypTools is a cryptographic organization White-FFF was a PHP framework, but was canceled in 2016 Tweets: Tweets by arthur_guiot Tweet me!
Also known as arguiot, I'm a student 👨🎓 who is interested in programming and math.
Follow me: @arthur_guiot
TheoremJS is a Math framework for computation in JavaScript
A small plotting JavaScript library, made for TheoremJS
EyeJS is a JavaScript testing framework for the real world
A simple JavaScript framework for building ambitious UIs!
All my organizations:
CrypTools is a cryptographic organization
White-FFF was a PHP framework, but was canceled in 2016


Overview of course material: Physics 321, Classical Mechanics
Department of Physics and Astronomy, Michigan State University, USA
Lecture notes as Jupyter-book
The teaching material is produced in various formats for printing and on-screen reading.
Classical Mechanics Notes
Week 2 January 9-13: Introduction to the course, simple motion problems and forces
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 3 January 16-20: From simple motion problems to forces, analytical and numerical approaches
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 4 January 23-27: Forces, Analytical studies, simple experiments and numerical approaches
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 5 January 30-February 3: Work and energy, conservative forces and conservation of important quantities
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 6 February 6-10: Conservative forces, momentum and angular momentum conservation
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 7 February 13-17: Summary conservative forces and start Harmonic oscillations
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 8 February 20-24: Harmonic oscillations and various types of motion
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 9 February 27-March 3: Harmonic oscillations and damped motion
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 11 March 13-17: Harmonic oscillations: forced oscillations ann Fourier Series
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 12 March 20-24: Two-body problems and Central Forces
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 13 March 27-31: Two-body problems and Central Forces
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 14 April 3-7: Two-body problems and scattering
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 15 April 10-14: Two-body scattering and Lagrangians and the Calculus of Variations
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 16 April 17-21: Lagrangians and the Calculus of Variations
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 17 April 24-28: Lagrangians and the Calculus of Variations and summary of course, discussion of final exam
- LaTeX PDF:
- HTML:
- iPython notebook:
Week 18 May 1-5: Finals week
- LaTeX PDF:
- HTML:
- iPython notebook:
First homework set, due January 20
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Second homework set, due January 27
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Third homework set, due February 3
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Fourth homework set, due February 10
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Fifth homework set, due February 17
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Sixth homework set, due March 17
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Seventh homework set, due March 24
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Eighth homework set, due March 31
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Ninth homework set, due April 28
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Tenth homework set, due May 1
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
First midterm project, due March 3
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Second midterm project, due April 14
- LaTeX and PDF:
- HTML:
- Jupyter notebook:
Final project, due May 5
- Latex and PDF:
- HTML:
- Jupyter notebook:


--- title: Models Of and For nav: Models nav_order: 2 section: Models section-color: success foot: js/models.html ---
A curated directory of projects using a static web approach (Models Of), templates / frameworks for creating new projects (Models For), and helpful utilities for Lib-Static development (Tools).
View: {% assign types = listDocs | map: 'type' | compact | uniq | sort %} {% for t in types %} {% endfor %} : {% assign raw_genres = listDocs | map: 'project_genre' | compact | join: ";" | split: ";" %} {% capture genres %}{% for r in raw_genres %}{{ r | strip }};{% endfor %}{% endcapture %} {% assign genres = genres | split: ";" | uniq | sort %} {% for g in genres %} {% endfor %}
Sort by:


[§16-47] Preparation of absentee ballots. Counting center employees in the presence of at least two official observers shall prepare absentee ballots for counting by automatic tabulating equipment in a manner that shall accurately reflect the votes cast by the absentee voters. [L 1980, c 264, §5(b)]


3 ONE SAMPLE t-TEST: for the MEAN
Using the t.test()
function
library(psych) # lots of nice tidbits
library(car) # Compantion
3.1 Exploratory Data Analysis: i.e. the eyeball method
Is the baseline weight more than 165 pounds?
3.1.1 Mean and SD
cancer_clean %>%
furniture::table1(weighin,
na.rm = FALSE)
---------------------------
Mean/Count (SD/%)
n = 25
weighin
178.3 (32.0)
---------------------------
32 / sqrt(25)
[1] 6.4
Since the stadard deviation (\(s_X\)) is 32.0, the standard error for the mean (SEM = SE = \(s_{\overline{X}}\)) is 6.4. So even though the observed average of 178.3 is a higher number than 165, it may or may not we statistically significant.
3.2 Assumptions
3.2.1 Random Sampling
The Sample was drawn at random (at least as representative as possible)
- Nothing can be done to fix NON-representative samples!
- Can not for with any statistically test
3.2.2 Normality
A variable is said to follow the normal distribution if it resembles the normal curve. Specifically it is symetrical, unimodal, and bell shaped.
The continuous variable has a NORMAL distribution in BOTH populations
- Not as important if the sample is large (Central Limit Theorem)
- IF the sample is far from normal &/or small, might want to use a different method
Options to judging normality:
- Visualization of each sample’s distribution
- Stacked histograms, but is sensitive to binning choices (number or width)
- Side-by-side boxplots, shows median instead of mean as central line
- Seperate QQ plots (straight \(45^\circ\) line), but is sensitive to outliers!
- Calculate Skewness and Kurtosis
- Divided each value by its standard error (SE)
- A result \(\gt \pm 2\) indicates issues
- Divided each value by its standard error (SE)
- Formal Inferencial Tests for Normality
- Null-hypothesis: population is normally distributed
- A \(p \lt .05\) ???indicate snon-normality
- For smaller samples, use Shapiro-Wilk’s Test
- For larger samples, use Kolmogorov-Smirnov’s Test
cancer_clean %>%
ggplot(aes(weighin)) +
geom_histogram(binwidth = 12) +
geom_vline(xintercept = 165, # Add a thick red line at the grand mean of 165 pounds
color = "red",
size = 1)
The histogram is not truely normal, but it is fairly unimodal and somewhat bell shaped. There are mild concerns regarding the values above the mean.
cancer_clean %>%
ggplot(aes(sample = weighin)) + # make sure to include "sample = "
geom_qq() + # layer on the dots
stat_qq_line() # layer on the line
The Q-Q Plot displays a fairly linear pattern, but there are mild concerns at the highter values.
cancer_clean %>%
dplyr::select(age, weighin) %>% # we have to select MORE than one variable
psych::describe()
vars n mean sd median trimmed mad min max range skew
age 1 25 59.64 12.93 60.0 59.95 11.86 27 86.0 59.0 -0.31
weighin 2 25 178.28 31.98 172.8 176.57 21.05 124 261.4 137.4 0.73
kurtosis se
age -0.01 2.59
weighin 0.07 6.40
The skew is \(0.73\) which is close to \(1\), but the kurtosis is \(0.07\) which is NOT close to \(1\). This reflects that the distribution is fairly symetrical, but more spread out and not as peaked as a truely normal distribution.
cancer_clean %>%
dplyr::pull(weighin) %>% # extract the continuous variable
shapiro.test() # test for normality (from base R)
Shapiro-Wilk normality test
data: .
W = 0.93899, p-value = 0.1403
The Shapiro-Wilk’s test yielded NO evidence that weight is not normaly distributed at baseline, \(W = .939, p = .140\),.
3.3 Inference
Formal Statistical Test: t-Test for Difference in Independent Group Means
Use the t.test()
funtion for a single sample.
Before you can run the t Test, you must seperate out or ‘PULL’ your variable out of the dataset.
Use the dplyr::pull(continuous_variable)
step befor running the t Test
Inside the funtion you need to specify one option:
-
the null-hypothesis value:
mu = ##
(replace with your number)
You MAY need/want to specify some or all of the following options you may way to leave as the default or override:
-
Number of tails:
-
alternative = “two.sided”
Default Allows for a 2-sided alternative -
alternative = “less”
Only Allows: group 1 < group 2 -
alternative = “greater”
Only Allows: group 1 > group 2
-
-
Confidence level:
-
conf.level = 0.95
Default Computes the 95% confidence inverval
-
conf.level = 0.90
Changes to a 90% confidence interval
-
3.3.1 All Defaults
Is there evidence the population mean weight is DIFFERENT than 165?
cancer_clean %>%
dplyr::pull(weighin) %>% # pull the continuous varaible out
t.test(mu = 165) # specify the null hypothesis value
One Sample t-test
data: .
t = 2.0765, df = 24, p-value = 0.04872
alternative hypothesis: true mean is not equal to 165
95 percent confidence interval:
165.0807 191.4793
sample estimates:
mean of x
178.28
There is evidence that cancer patients weight more (N = 25, M = 178.28) now than the historic average of 165 pound, \(t(24) = 2.077, p = .049, 95% CI: 165.08, 191.48\).
3.3.2 Confidence Level other than 95%
Find a 99% confience level for the population mean weight.
cancer_clean %>%
dplyr::pull(weighin) %>% # pull the continuous varaible out
t.test(mu = 165, # specify the null hypothesis value
conf.level = 0.99) # over-ride the default of 95% CI
One Sample t-test
data: .
t = 2.0765, df = 24, p-value = 0.04872
alternative hypothesis: true mean is not equal to 165
99 percent confidence interval:
160.3927 196.1673
sample estimates:
mean of x
178.28
There is evidence that cancer patients weight more (N = 25, M = 178.28) now than the historic average of 165 pound, \(t(24) = 2.077, p = .049, 99% CI: 160.39, 196.17\).
3.3.3 One-Sided Test, instead of Two
Is there evidence the population mean weight is GREATER than 165?
cancer_clean %>%
dplyr::pull(weighin) %>% # pull the continuous varaible out
t.test(mu = 165, # specify the null hypothesis value
alternative = "greater") # over-ride the default of 95% CI
One Sample t-test
data: .
t = 2.0765, df = 24, p-value = 0.02436
alternative hypothesis: true mean is greater than 165
95 percent confidence interval:
167.3384 Inf
sample estimates:
mean of x
178.28
Notice than one end of the confidence interval is Inf
for infinity. This always happens when you specify a one-tail test, so you should IGNORE the conficence interval reported when you specify alternative =
.
There is evidence that cancer patients weight more (N = 25, M = 178.28) now than the historic average of 165 pound, \(t(24) = 2.077, p = .024\).
3.3.4 Restrict to a Subsample
Do the patients with stage 3 and 4 cancer weigh more than 165 pounds at intake, on average?
cancer_clean %>%
dplyr::filter(stage %in% c("3", "4")) %>% # select a sub-sample
dplyr::pull(weighin) %>% # pull the continuous varaible out
t.test(mu = 165) # specify the null hypothesis value
One Sample t-test
data: .
t = 0.82627, df = 5, p-value = 0.4463
alternative hypothesis: true mean is not equal to 165
95 percent confidence interval:
137.0283 219.4717
sample estimates:
mean of x
178.25
There is NO evidence that stage three and four cancer (n = 6, M = 178.25) patients weight more now than the historic average of 165 pound, \(t(24) = 0.826, p = .446\).


1.1 "And Now for Something Completely Different"
This book is about using Python, a very high-level, object-oriented,
open source programming
language, designed to optimize development speed. Although it is
completely general-purpose, Python is often called an object-oriented
scripting language, partly because of its sheer
ease of use, and partly because it is commonly used to orchestrate or
"glue" other software components in an application.
If you are new to Python, chances are you've heard about the
language somewhere, but are not quite sure what it is about. To help
you get started, this chapter provides a nontechnical introduction to
Python's features and roles. Most of it will make more sense
once you have seen real Python programs, but let's first take a
quick pass over the forest before wandering among the trees.
In the preface, I mentioned that Python emphasizes concepts such as
quality, productivity, portability, and integration. Since these four
terms summarize most of the reasons for using Python, I'd like
to define them in a bit more detail:
- Quality
-
Python makes it easy to write software that can be reused and
maintained. It was deliberately designed to raise development quality
expectations in the scripting world. Python's clear syntax and
coherent design almost forces programmers to write readable
code -- a critical feature for software that may be changed by
others. The Python language really does look like it was designed,
not accumulated. Python is also well tooled for modern software reuse
methodologies. In fact, writing high-quality Python components that
may be applied in multiple contexts is almost automatic.
- Productivity
-
Python is optimized for speed of development. It's easy to
write programs fast in Python, because the interpreter handles
details you must code explicitly in lower-level languages. Things
like type declarations, memory management, and build procedures are
nowhere to be found in Python scripts. But fast initial development
is only one component of productivity. In the real world, programmers
must write code both for a computer to execute and for other
programmers to read and maintain. Because Python's syntax
resembles executable pseudocode, it yields
programs that are easy to understand long after they have been
written. In addition, Python supports (but does not impose) advanced
paradigms such as object-oriented programming, which further boost
developer productivity and shrink development schedules.
- Portability
-
Most Python programs run without change on almost every computer
system in use today. In fact, Python programs run today on everything
from IBM mainframes and Cray Supercomputers to notebook PCs and
handheld PDAs. Although some platforms offer nonportable extensions,
the core Python language and libraries are platform-neutral. For
instance, most Python scripts developed on Linux will generally run
on Windows immediately, and vice versa -- simply copy the script
over. Moreover, a graphical user interface (GUI) program written with
Python's standard Tkinter library will run on the X Windows
system, Microsoft Windows, and the Macintosh, with native
look-and-feel on each, and without modifying the program's
source code at all.
- Integration
-
Python is designed to be integrated with other tools. Programs
written in Python can be easily mixed with and
script (i.e., direct) other components of a
system. Today, for example, Python scripts can call out to existing C
and C++ libraries, talk to Java classes, integrate with COM and CORBA
components, and more. In addition, programs written in other
languages can just as easily run Python scripts by calling C and Java
API functions, accessing Python-coded COM servers, and so on. Python
is not a closed box.
In an era of increasingly short development schedules, faster
machines, and heterogeneous applications, these strengths have proven
to be powerful allies in both small and large development projects.
Naturally, there are other aspects of Python that attract developers,
such as its simple learning curve for developers and users alike,
libraries of precoded tools to minimize up-front development, and
completely free nature that cuts product development and deployment
costs.
But Python's productivity focus is perhaps its most attractive
and defining quality. As I write this, the main problem facing the
software development world is not just writing programs quickly, but
finding developers with time to write programs at all.
Developers' time has become paramount -- much more critical
than execution speed. There are simply more projects than programmers
to staff them.
As a language optimized for developer productivity, Python seems to
be the right answer to the questions being asked by the development
world. Not only can Python developers implement systems quickly, but
the resulting systems will be maintainable, portable, and easily
integrated with other application components.
|


This is Sugar. She's a golden doodle puppy, and we've had her for about a year now. I start my interests page with her because I am very obessed with her for obvious reasons, look at her!
Below I have a table to show my various interests. Below that I have included a short explaination of each category (movies, tv shows, and food). Enjoy!


List of Expired Certifications and Member Names
Search the table for Certification:
First Name
Last Name
Certification Name
Date Expired
{{ exp.first_name }}
{{ exp.last_name }}
{{ exp.certification_name }}
{{ exp.date_expired }}
Download Certification Report
Go Back to Detail View
Detail View


Login: root
Webmin
Backup Configuration Files
Change Language and Theme
Webmin Actions Log
Webmin Configuration
Webmin Servers Index
Webmin Users
System
Bootup and Shutdown
Change Passwords
Disk and Network Filesystems
Filesystem Backup
Log File Rotation
MIME Type Programs
PAM Authentication
Running Processes
Scheduled Commands
Scheduled Cron Jobs
Software Package Updates
Software Packages
System Documentation
System Logs
Users and Groups
Servers
MySQL Database Server
Read User Mail
SSH Server
Others
Command Shell
Custom Commands
File Manager
HTTP Tunnel
Java File Manager
Perl Modules
Protected Web Directories
System and Server Status
Text Login
Upload and Download
Networking
Bandwidth Monitoring
Linux Firewall
Linux IPv6 Firewall
Network Configuration
NIS Client and Server
TCP Wrappers
Hardware
Partitions on Local Disks
Printer Administration
System Time
Cluster
Cluster Change Passwords
Cluster Copy Files
Cluster Cron Jobs
Cluster Shell Commands
Cluster Software Packages
Cluster Usermin Servers
Cluster Users and Groups
Cluster Webmin Servers
Un-used Modules
ADSL Client
Apache Webserver
Bacula Backup System
BIND DNS Server
CD Burner
DHCP Server
Disk Quotas
Dovecot IMAP/POP3 Server
Fail2Ban Intrusion Detector
Fetchmail Mail Retrieval
FirewallD
GRUB Boot Loader
Heartbeat Monitor
idmapd daemon
IPsec VPN Configuration
iSCSI Client
iSCSI Server
iSCSI Target
iSCSI TGTd
Jabber IM Server
Kerberos5
LDAP Client
LDAP Server
LDAP Users and Groups
Linux RAID
Logical Volume Management
MON Service Monitor
Network Services
Network Services and Protocols
NFS Exports
OpenSLP Server
PHP Configuration
Postfix Mail Server
PostgreSQL Database Server
PPP Dialin Server
PPP Dialup Client
PPTP VPN Client
PPTP VPN Server
Procmail Mail Filter
ProFTPD Server
QMail Mail Server
Samba Windows File Sharing
Sendmail Mail Server
Shoreline Firewall
Shorewall6 Firewall
SMART Drive Status
SpamAssassin Mail Filter
Squid Proxy Server
Squid Report Generator
SSH Login
SSL Tunnels
System Logs NG
Usermin Configuration
Voicemail Server
Webalizer Logfile Analysis
WU-FTP Server
Search:
View Module's Logs
System Information
Refresh Modules
Logout


---
layout: layouts/FFWindex.njk
title: Freelancer for Website
linkCss: ../css/index.css
Ofavicon: ./images/Ofavicon.png
pagination:
data: collections.template
size: 3
---
Far far away, behind the word mountains,
far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in
Bookmarksgrove right at the coast of the Semantics, a large language ocean.Web Designer, hobbyist writer, and the CEO & Founder of Oanh
Latest & Greatest
{{ tmp.data.title }}


German Officials Investigate Quest Accounts
The Oculus Quest 2 requires a Facebook account to work, something widely criticized by reviewers and VR fans. Germany's competition authority now says that requirement could be an abuse of Facebook's dominant market position.
Facebook previously stopped sales of the Quest 2 in Germany because of regulations that prevent merging data from its otherwise separate services.
TAG Reviews WebXR Layers and Hand Input
Last week the W3C's Technical Architecture Group met and reviewed two proposed extensions to WebXR: Layers and Hand input. Feedback has been generally positive and I'm hopeful that both proposals will be completed and approved in early 2021.
ART+TECH Festival
The 10th annual ART+TECH Festival happens this week with multiple sessions on the topic of the immersive web, including "Creating VR Music Videos" and "Async Art Cryptovoxels Tour" (covered in issue 12). The event also provides several online art galleries and events. An events pass is $35 and an all-access pass that includes the workshops is $199.
A New Polygonal Editor
Last week's announcement that Google Poly is decimated* prompted at least one web creator to build a similar editor using WebXR. In this tweet, Danny Yaroslavski gave us a look at the new Nearfiction XR editor which is still in development but already provides file export for local persistence of your work.
* That is the last time I use that joke, I promise.
Immersive Hopalong Orbits Visualizer
Prolific creator Ricardo Cabello (aka Mrdoob) announced this week that the Hopalong Orbits Visualizer (long a favorite Three.js demo) is now in WebXR for a relaxing distraction from world events. For the curious, this is a Glitch project so it's easy to take a look behind the scenes.


I'm Delano Mandelbaum, the founder of Solutious Inc. I've worked for companies large and small and now I'm putting everything I've learned into building great tools. I recently launched a monitoring service called Stella.
You can also find me on:
- Delano (@solutious.com)
Solutious is a software company based in Montréal. We build testing and development tools that are both powerful and pleasant to use. All of our software is on GitHub.
This is our blog about performance, development, and getting stuff done.
- Solutious


This tool is used to query video tracking data of video resources on commons.wikimedia.org. It allows exporting them as a CSV file.
Video-Link: Please enter the URL / name of a video resource.
The following formats are allowed:
Date from: Enter the date from which the tracking results should be requested. The format is month/day/year. You can also use the datepicker.
Date to: Enter the date until the tracking results should be requested. The format is month/day/year. You can also use the datepicker.
Get views: Requests the data and displays it in the table.
Export as CSV: Requests the data and exports it in a CSV file. Delimiter is semi-colon. The unixtimestamp displays a convertable format. It shows the time of day from the beginning of the queried date until the end of the date.
Please note: Due to limitations of the API and the backend the data may not be up to date. It may take up to two weeks until the data gets updated.
This application is distributed under creative commons license (CC0 1.0 Universal).
developed by DIQA-Projektmanagement GmbH 2017


Latitude
Plots
Max Temperature
Humidity
Cloudiness
Windspeed
Comparisons
Data
Humidity
As we see in this plot above, most of the cities have higher humidity rather then lower humidity
Visualizations


Almost as if to make me look like a fool the same day as I wrote a long, vaguely passionate defense of GURPS in my last blog post, my play-by-post game, which had been stagnating in the “nobody is talking or making characters” stage that all my games seem to spend a few weeks in broke up, and left me with one player who talked either more than I could handle, or not at all, and then his friend, who only went as far as “not at all.”
So I’m not proud of myself but I sunk into a depression and ghosted.
Since then I’ve been joking in the Mud & Blood Discord that I only play 5e from now on. It’s been a fun joke, and hasn’t required me to do more than some light reading. And I mean very light. Even that wasn’t required.  But I haven’t done much work on it yet. I might include a few posts on getting that going, if I decide to go that way.
But that’s not what I want to talk about. Today I just wanted to talk out my thoughts. Everyone I talk to about it says I’m over-thinking it, and if anything they’re understating the issue. I have always over-thought every single thing. I over-thought tennis, I over-thought my career choices, I over-thought college so much that it took me years to actually attend one. Granted that was more like over-thinking the debt I was going to have to take on to attend, when in fact I may have been under-thinking it. After all, it’s still all there, staring me dead in the eyes, day by day.
But that’s not what I wanted to talk about either.
My problem is that what I want out of a game doesn’t make itself into one coherent idea. I want it all. I want a game that runs fast. I want a game that preps light. I want a game that gives the players all the rules in a pretty little PDF that I can give them, and I want that PDF to be 32 pages long or less including setting information. I want a game that appeals to my sense of aesthetics. I want a game that gives me the excitement of trying something new every week.
Oh, and don’t even get me started on the players. I feel like a cat. I want attention when I want it, and I want to be left alone when I want to be.
Sure, that’s just how it is, and sure, I can get over it. But it’s hard to remind myself, when I have problems, that everyone has problems. I’m not uniquely suffering, and I’m barely unique in solving them.
So I’ve been bothering myself with a long series of problems. I want the player base that 5e represents. I think everyone does. But I don’t like Forgotten Realms, and I don’t like combat slogs, and I feel like that’s kind of what 5e wants from its players. 6-8 “encounters” (which don’t need to be combat, but do need to exhaust resources) per Long Rest. I don’t like more than 1 combat per session. And I don’t mind some magic, but I don’t like Dungeons and Dragons magic, which is distinct from Vancian magic despite what the internet will tell you.
And I don’t like the settings. I don’t know Forgotten Realms, and I don’t know if I want to learn it. It’s too deep, there’s too much to learn, and at the end of the day when you’re lying in bed you have to ask yourself why nobody else stepped in to save the day. Where was Drizzt? Where was Catti-Brie? Where was Storm Silverhand and the Harpers? Where was Elminster? Where’s Laerel Silverhand? (Ask me how many of these I knew before I looked them up)
It’s a setting with what are functionally Gods running around constantly interfering in events. How precisely did a CR 10 bandit lord entirely escape their attention and fail utterly to elicit a response? How is this plot occurring with a Neutral-Good God running around the North righting every wrong that crosses his path?
So rather than try to learn all 30+ countries, learning one or two of them well enough that I could run them (I will say that my previous attempt involved learning about Cormyr), and hope that eventually I just like it, that’s obviously out of contention. As are most of the other settings that are “not” Forgotten Realms, because they all fail even more completely to answer basic questions about why, if any old Cleric can make food and water, anyone would bother farming. If they’re not farming, what are they doing? This is a serious issue in the real world. We’re kind of running out of answers to the question “if you’re not making something then what do you actually get paid for,” and we’ve got a lot more ways to make stuff than they did in your typical 13th century society (which, in spite of themselves, the writers of these settings seem to be unable to shake the desire to work around).
So it’s a whole mess. But look. I’m getting too deep into this. The answer seemed pretty obvious. Adventures in Middle Earth is a 5e setting book, it’s a setting I know a little bit about (enough to get by, at least) and it’s got low magic. Technically there’s no Wizard (though the Scholar gets a little close), which is largely consistent with the power set of “Wizards” in Lord of the Rings: Gandalf rarely, if ever, describes himself in such a way. He is Wise. He knows words of command. But not “spells” that can cast fireballs.
But then I think, well, I’ve heard that The One Ring “captures the spirit of Tolkien” better than 5e. So if I’m just going to live in Middle Earth, then I’d rather play the best version of it.
Careful readers will already see the issue at hand here. I’ve already given up the advantage of 5e that I wanted, namely the player base who knows the rules and is excited to play. So what’s the point?
What’s the point, indeed?
Might as well just play GURPS at that point. Play with a few rules tweaks to mimic The One Ring’s on-and-off cycle. And that way I can use a few of the rules supplements that I’ve been interested in exploring from the Games Diner and others. So what’s the big deal?
And that gets down to what I want here. I just want to get something I can be happy with. So why am I putting all this work into something I don’t know if I care about?
Also, as an unrelated question… where’s the line between Dungeon Fantasy and Fantasy? A lot to think about.
But I think the answer, at least in the short term, is to admit that I don’t need to build my own world, I just need to find something I can be happy with.


2012 and 2013
Written by: Aidan Ripley
Yahoo continues to drop as it now sits below 10 billion at 9.1 billion while Youtube and Facebook eclipse the 10 billion mark being at 12.5 and 12.9 billion respectively. Google remains on top with 18.5 billion visits. Twitter makes it's first appearance in the top 11 as the only new addition taking out VK in the process.
Google becomes the first website to hit 20 billion visits in a year, clocking in at 21.4 billion views. Facebook eclipses 18 billion, a near 6 billion increase from 2012, and Youtube hits 17 billion. Yahoo dips to 7.5 billion, losing over 1.5 billion views in one year. Instagram hits the top 11, taking out AOL who finally leaves the top 11 after being in it since 1996 along with Yahoo and MSN/Live.com.


WITNESS LIST Finance Committee (Subcommittee on Tax System) June 4, 2002 -10:00A Excise Taxes ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX Carter, Ed President & CEO (American Lung Association, Texas), Dripping Springs, TX Clanton, Mark Physician (American Cancer Society), Dallas, TX Doebner, Thomas Director of Funds Management (Texas Department of Transportation), Austin, TX Gadbois, Glenn Director of Transportation Programs (Just Transportation Alliances), Austin, TX Headrick, Carter (Campaign For Tobacco-Free Kids), Austin, TX Heleman, John (Comptroller of Public Accounts), Austin, TX Johnson, John (Texas Transportation Commission & TxDot), Austin, TX Keel, John Director (Legislative Budget Board), Austin, TX Kim, Elenor Asistant Director of Tax Administration (Comptroller of Public Accounts), Austin, TX Lewis, Bill Publisher (Mother's Against Drunk Driving), Keller, TX Loose-Mitchell, David Professor, UT Houston (American Heart Association, Texas), Sugar Land, TX McCullough, Jay Executive Director (Trust For a Smoke-Free Texas), Austin, TX McKinney, Mike Executive Vice President (Wholesale Beer Distributors of Texas), Austin, TX Moore, Mickey (Institute for State Studies), Austin, TX Reed, Cyrus Project Director (Texas Center for Policy Studies), Austin, TX Suhm, Vic Consultant (North Texas Commission), Dallas, TX Ward, Ellen Director (Texas Standing Tall), Austin, TX Registering, but not testifying: On: Huang, Philip (Texas Department of Health), Austin, TX Molina Raab, Ted Legislative Agent (Texas Federation of Teachers), Austin, TX Olsen, Lawrence (Texas Goods Roads/Transporation Association), Austin, TX


This article seeks to explain what a CSS preprocessor is and why you should use it. In addition, I explain my own experience using Bourbon along with Neat and Bitters to style sites. These tools allow for an easy way to maintain modular code in your CSS as well as get a good-looking site off the ground quickly.
One of the main benefits of a CSS preprocessor is its ability to allow you to have more modular code for your CSS. You can have partials that apply to different parts of your application and then load them in with @import. In addition, you can use all of the normal features of CSS and pick and choose from mixins that are available.  Another main feature is the ability to have variable names. This can be useful for font-stylings or other settings as you can apply a set of styles once and change it out on the fly easily.
There is not a good reason to not use a CSS pre-processor. Mostly because you can style it with your normal CSS but have additional features. A great way to keep your styles organized is with nesting. Sass allows you to nest your CSS styles which makes it a lot easier to keep a coherent grouping. This does not, however, offer any performance benefits but it is useful to reduce complexity of your CSS for large sites.
Bourbon, Neat, and Bitters
Bourbon is a library built for Sass. It includes vendor prefixes and mixins that allow you to write CSS more concisely. Neat is a semantic grid framework for Sass. Bitters is a predefined set of styles and mixins for use with Bourbon. All three of these tools are open-source projects maintained by Thoughtbot.
I had a great time using these tools to style my blog website. The use of partials helped to keep my .scss files organized. It also gave me greater control to style different aspects of my website. The semantic grid system provided by Neat was easy to use to layout content on a page.


2
The Visit of the Wise Men
1 Now after Jesus was born in Bethlehem of Judea in the days of Herod the king, behold, wise men from the east came to Jerusalem,
2 saying, “Where is he who has been born king of the Jews? For we saw his star when it rose and have come to worship him.”
3 When Herod the king heard this, he was troubled, and all Jerusalem with him;
4 and assembling all the chief priests and scribes of the people, he inquired of them where the Christ was to be born.
5 They told him, “In Bethlehem of Judea, for so it is written by the prophet:
6 “ ‘And you, O Bethlehem, in the land of Judah,
are by no means least among the rulers of Judah;
for from you shall come a ruler
who will shepherd my people Israel.’ ”
7 Then Herod summoned the wise men secretly and ascertained from them what time the star had appeared.
8 And he sent them to Bethlehem, saying, “Go and search diligently for the child, and when you have found him, bring me word, that I too may come and worship him.”
9 After listening to the king, they went on their way. And behold, the star that they had seen when it rose went before them until it came to rest over the place where the child was.
10 When they saw the star, they rejoiced exceedingly with great joy.
11 And going into the house they saw the child with Mary his mother, and they fell down and worshiped him. Then, opening their treasures, they offered him gifts, gold and frankincense and myrrh.
12 And being warned in a dream not to return to Herod, they departed to their own country by another way.
The Flight to Egypt
13 Now when they had departed, behold, an angel of the Lord appeared to Joseph in a dream and said, “Rise, take the child and his mother, and flee to Egypt, and remain there until I tell you, for Herod is about to search for the child, to destroy him.”
14 And he rose and took the child and his mother by night and departed to Egypt
15 and remained there until the death of Herod. This was to fulfill what the Lord had spoken by the prophet, “Out of Egypt I called my son.”
Herod Kills the Children
16 Then Herod, when he saw that he had been tricked by the wise men, became furious, and he sent and killed all the male children in Bethlehem and in all that region who were two years old or under, according to the time that he had ascertained from the wise men.
17 Then was fulfilled what was spoken by the prophet Jeremiah:
18 “A voice was heard in Ramah,
weeping and loud lamentation,
Rachel weeping for her children;
she refused to be comforted, because they are no more.”
The Return to Nazareth
19 But when Herod died, behold, an angel of the Lord appeared in a dream to Joseph in Egypt,
20 saying, “Rise, take the child and his mother and go to the land of Israel, for those who sought the child's life are dead.”
21 And he rose and took the child and his mother and went to the land of Israel.
22 But when he heard that Archelaus was reigning over Judea in place of his father Herod, he was afraid to go there, and being warned in a dream he withdrew to the district of Galilee.
23 And he went and lived in a city called Nazareth, that what was spoken by the prophets might be fulfilled: “He shall be called a Nazarene.”


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Fullstack JavaScript developer with experience building dynamic and scalable web applications from the ground up.
You can find more examples of my work on my GitHub @Coolfield.
I am currently studying towards a CompTIA Linux+ certification.
FullStack JS
Building web apps was my first 'real' exposure to programming and development, beginning with the LAMP stack and wordpress plug-ins.
Thankfully, since then the world has moved on from PHP and I mostly build in JavaScript, using the MEAN stack then later the MERN stack.
Technologies I use:
HTML5 & CSS3
Node, Express
React, Redux
MongoDB, SQL Lite
NPM, Gulp
Bcrypt
Serverless (Lambda, Heroku)
Git, Github
DevOps / Sys Admin
I work with a host of tools and workflows daily to manage and maintain a scalable network as part of a small, agile team.
This experience in a small team forces me to learn many different parts of the Sys Admin toolkit and wear many hats and constantly learn new workflows.
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My To Do List
Summary of my daily planner
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Sunday
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Drag me here to Delete Item


Note
This tutorial was generated from an Jupyter notebook that can be downloaded here.
Basics: Limb-darkened maps¶
In the previous tutorial, we talked about how to instantiate surface maps with arbitrary combinations of spherical harmonics. Here, we’ll focus on a special case: the \(m = 0\) spherical harmonics, which are all radially symmetric. As we show in Luger & Agol (2018), these form a complete basis to exactly describe arbitrary order polynomial limb-darkening in stars.
The radial spherical harmonics¶
Here’s what the first several radial spherical harmonics look like:
[1]:
import starry
import numpy as np
import matplotlib.pyplot as pl
%matplotlib inline
# Instantiate a `starry` surface map
lmax = 6
map = starry.Map(lmax)
res = 300
fig, ax = pl.subplots(1, lmax + 1, figsize=(16, 4))
x, y = np.meshgrid(np.linspace(-1, 1, res), np.linspace(-1, 1, res))
for l in range(lmax + 1):
map.reset()
map[l, 0] = 1.0
I = [map(x=x[j], y=y[j]) for j in range(res)]
ax[l].imshow(I, origin="lower", interpolation="none", cmap='plasma', extent=(-1, 1, -1, 1))
ax[l].axis('off')
ax[l].set_title(r"$Y_{%d, 0}$" % l)
ax[l].set_xlim(-1.05, 1.05)
ax[l].set_ylim(-1.05, 1.05)
If we go out to infinite degree, we can express any radially symmetric function in terms of these harmonics. That makes this a very useful basis to model stellar limb darkening. In particular, consider the classic case of quadratic limb darkening, for which the specific intensity as a function of the radial coordinate \(\mu\) (which is really just the Cartesian coordinate \(z\)) may be written
\(\frac{I(\mu)}{I(1)} = 1 - u_1 (1 - \mu) - u_2 (1 - \mu)^2\)
As we show in the paper, this can be written exactly as the sum of the first three radial spherical harmonics:
\(\frac{I}{I(1)} = \frac{2\sqrt{\pi}}{3} (3 - 3u_1 - 4u_2) \, Y_{0,0} + \frac{2\sqrt{\pi}}{\sqrt{3}} (u_1 + 2u_2) \, Y_{1,0} - \frac{4\sqrt{\pi}}{3\sqrt{5}} u_2 \, Y_{2,0}\)
For convenience, starry.Map
allows users to directly specify limb darkening coefficients. Let’s take a look.
Limb-darkened maps¶
Let’s instantiate a map as before, and let’s peek at the u
attribute, which is the vector of limb darkening coefficients:
[2]:
map = starry.Map(2)
print(map.u)
[0. 0.]
By default, there’s no limb darkening. The star’s intensity is the same everywhere:
[3]:
map.show()
One important thing to know is that the Map
class is normalized such that the average disk-integrated intensity is equal to the coefficient of the \(Y_{0,0}\) spherical harmonic, which defaults to unity. This makes it very convenient to use the Map
class to model stellar surfaces: regardless of the limb darkening coefficients, the total flux coming from the star measured by an observer will always be unity, since a purely limb-darkened object appears the same from all
directions. We can check this by noting that the value anywhere on the surface is
[4]:
map(x=0.3, y=-0.6)
[4]:
0.31830988618379064
which, integrated over the unit disk is just
[5]:
np.pi * map(x=0.3, y=-0.6)
[5]:
0.9999999999999999
i.e., unity. You’ll notice that a consequence of this is that the zeroth order limb-darkening coefficient \(u_0\) cannot be set: its value is determined automatically to enforce this normalization.
Before we start playing around with this map, one last note: rotations do not affect the limb darkening coefficients. It wouldn’t really make sense for the limb darkening profile to rotate around with the star – for instance, you’d end up with negative surface brightness if you rotated it by 180 degrees! There are, of course, cases where you’d like to rotate a star (if it has spots, for instance, and you’re interested in its rotational light curve). starry
allows you to do that, too!
Quadratic limb darkening¶
I remember reading somewhere that the Sun’s quadratic limb darkening coefficients in the Kepler
band are \(u_1 = 0.40\) and \(u_2 = 0.26\). Let’s model that with starry
:
[6]:
map[1] = 0.4
map[2] = 0.26
print(map.u)
[0.4 0.26]
Note that, unlike spherical harmonic coefficients (which are indexed by two values, l
and m
), the limb darkening coefficients are specified by a single index l
(since m = 0
always). Here’s what our map looks like:
[7]:
map.show()
We can verify, just for completeness, that we could have obtained the same exact map (up to a normalization constant) by setting the correct coefficients in the Map
class:
[8]:
map2 = starry.Map(2)
u1 = 0.4
u2 = 0.26
map2[0, 0] = 2 * np.sqrt(np.pi) / 3 * (3 - 3 * u1 - 4 * u2)
map2[1, 0] = 2 * np.sqrt(np.pi) / np.sqrt(3) * (u1 + 2 * u2)
map2[2, 0] = -4 * np.sqrt(np.pi) / (3 * np.sqrt(5)) * u2
map2.show()
But that’s harder, messier, and slower to evaluate. And, if you rotate the map, this hacky “limb darkening” will rotate, too, which is not good! Let’s go back to our original limb-darkened map and compute some transit light curves.
Transit light curves¶
These are super easy. Let’s compute a simple transit light curve of a hot Jupiter:
[9]:
xo = np.linspace(-2.5, 2.5, 1000)
yo = 0.3
ro = 0.1
flux = map.flux(xo=xo, yo=yo, ro=ro)
Here we’re sliding the occultor along the \(x\) direction from \(x_o=-2.5\) to \(x_o=2.5\) at \(y_o = 0.3\). The occultor’s radius in units of the stellar radius is \(r_o = 0.3\). Let’s plot the light curve:
[10]:
fig, ax = pl.subplots(1, figsize=(16, 5))
ax.plot(xo, flux)
ax.set_xlabel('$x$ position of occultor', fontsize=16);
ax.set_ylabel('Relative flux', fontsize=16);
Note that when instantiating a Map
object, in order to compute light curves we must explicitly provide the trajectory of the occultor in Cartesian coordinates. That’s great if you know how to compute the path of the occultor, but often it’s more convenient to specify the actual orbital parameters of the system and let (say) a Keplerian solver compute the trajectories. That’s what the starry.kepler
module is for, and we discuss how to use it in the Exoplanet systems
tutorial.
[Advanced] Applying limb darkening to spherical harmonic maps¶
The limb-darkened map above is as simple as it gets: we took a disk of uniform surface intensity and we limb-darkened it to second order. But what if our star has some surface features (such as spots) and there’s limb darkening on top of that?
It’s actually straightforward to model that with starry
. Let’s begin by creating a Map
object with a Gaussian star spot. We’ll instantiate a map of fairly high degree to get a decent expansion of the Gaussian in spherical harmonics.
[11]:
map = starry.Map(lmax=20)
map.add_gaussian(amp=-1.0, sigma=0.15, lat=30, lon=15, lmax=18)
The line above added (the expansion of) a Gaussian to the map with amplitude \(-1.0\) (i.e., a dark spot) and standard deviation \(0.1\) at a latitude of 30 degrees and a longitude of 15 degrees relative to the sub-observer point. Note that we instantiated a 20th degree map but limited the Gaussian expansion to 18th degree, since we plan on adding 2nd order limb darkening.
Instead of calling map.show()
, let’s write a few lines of code to add a colorbar to the image so we can see how dark the spot actually is:
[12]:
fig, ax = pl.subplots(1)
res = 300
x, y = np.meshgrid(np.linspace(-1, 1, res), np.linspace(-1, 1, res))
I = [map(x=x[j], y=y[j]) for j in range(res)]
I /= np.nanmax(I)
im = ax.imshow(I, origin='lower', cmap='plasma', vmin=0, vmax=1)
pl.colorbar(im)
ax.axis('off');
Looks good! We have a spot at \((lat,\, lon) = (30^\circ, 15^\circ)\) that’s fairly dark, with a peak intensity that’s about 50% that of the rest of the star.
NOTE: If you squint (or change the color scale), you’ll notice a “ringing” effect around the spot, due to our attempt to expand a Gaussian in terms of periodic functions. The smaller the spot, the more pronounced the ringing will be at a given spherical harmonic degree. It’s probably not a good idea to use starry
to model tiny spots, as you’d have to take the expansion up to pretty high degree and that will be pretty slow to evaluate.
For fun, let’s animate our star as it rotates:
[65]:
map.animate()
[65]:
We’re going to add limb darkening in just a bit, but first let’s compute the light curve of a planet transiting this spot with no limb darkening. We’ll compare our final result to this.
[76]:
xo = np.linspace(-2.5, 2.5, 1000)
yo = 0.3
ro = 0.1
flux = map.flux(xo=xo, yo=yo, ro=ro)
Here’s what that light curve looks like:
[77]:
fig, ax = pl.subplots(1, figsize=(16, 5))
ax.plot(xo, flux)
ax.set_xlabel('$x$ position of occultor', fontsize=16);
ax.set_ylabel('Relative flux', fontsize=16);
It’s quite pretty! The spot crossing is clearly visible.
OK, now let’s limb darken the map and compare. We apply limb darkening just as before: by setting the limb darkening coefficients directly.
[78]:
map[1] = 0.4
map[2] = 0.26
Here’s what our star looks like now, on the same color scale as before:
[69]:
fig, ax = pl.subplots(1)
res = 300
x, y = np.meshgrid(np.linspace(-1, 1, res), np.linspace(-1, 1, res))
I = [map(x=x[j], y=y[j]) for j in range(res)]
I /= np.nanmax(I)
im = ax.imshow(I, origin='lower', cmap='plasma', vmin=0, vmax=1)
pl.colorbar(im)
ax.axis('off');
And again, just for fun, let’s animate its rotation:
[72]:
map.animate()
[72]:
As promised, the limb darkening profile doesn’t rotate: only the underlying star does!
Let’s compute the same transit light curve as before:
[79]:
xo = np.linspace(-2.5, 2.5, 1000)
yo = 0.3
ro = 0.1
flux_ld = map.flux(xo=xo, yo=yo, ro=ro)
Finally, let’s plot the light curve, alongside the one with no limb darkening:
[85]:
fig, ax = pl.subplots(1, figsize=(16, 5))
ax.plot(xo, flux, label='Spot only')
ax.plot(xo, flux_ld, label='Spot with limb darkening')
ax.set_xlabel('$x$ position of occultor', fontsize=16);
ax.set_ylabel('Relative flux', fontsize=16);
ax.legend(fontsize=14);
It’s a beauty!


Visual Arts
Mona Lisa is a half portrait of Lisa Gioconda, painted by her husband, Leonardo Da Vinci.
Drawing is a form of visual art in which a perosn uses various drawings instrunments (graphite pencils, pen, ink, crayons, charcoal) to mark paper. Digital drawing includes a stylus or a touchscreen device. The most common support for drawings is paper, although other materials, such as cardboard, wood, plastic, leather, canvas, and board, may be used.