---
layout: post
title: 'Darren on the JVM: Java and Scala with IntelliJ''s Compile Server'
date: '2015-04-16T12:17:00.000+01:00'
author: Darren Bishop
tags:
- Compilation
- Specs
- Java
- TDD
- JUnit
- JVM
- Scala
- CC
- IDEA
- ScalaTest
- Agile
- BDD
- Continuous
- IntelliJ
modified_time: '2015-04-16T12:46:13.902+01:00'
blogger_id: tag:blogger.com,1999:blog-3826577489563855618.post-891807952623914080
blogger_orig_url: http://blog.darrenbishop.com/2015/04/darren-on-jvm-java-and-scala-with.html
---
PROLOGUE
I went searching YouTrack, doing my due diligence, for an issue (described below) before raising a feature request for IntelliJ's Compile Server facility.
I came across this issue, which describes slow compilation despite having the compile server enabled.
I echo here my comments and findings
If you are trying to make use of IntelliJ's Compile Server facility, say, to make you Red, Green... Refactor cycle go really fast, but can't seem to make it work or observe any speed gains, you may have overlooked an important step.
If when you make a change and click Run
or press Shift+F10
and IntelliJ proceeds to 'make' your project, this applies to you.
The problem isn't to do how the Compile Server is configured; it has everything to do with your run configurations.
When you right-click a test or 'main' class, amongst other things, you have the option to 'Create Run Configuration' or 'Run' or 'Debug'; the first option creates a run configuration and pops-up a form to make changes before saving it (does not actually run it), where as the last two create run configurations for you implicitly, which IntelliJ reuses if you attempt to re-run/debug the same package/class/method element again later.
In ALL cases, not just these three, run configurations are created from a list of default configurations. The default for these three cases and many others, include the 'make' Before launch task.
This can be easily verified by playing around with the defaults and making implicit run configurations by right-clicking stuff as per normal.
But to address the slow compilation:
- Modify the default templates for the run configurations of interest - I changed Application, JUnit Test, Scala Console, ScalaTest and Spec2 - and removed the 'make' entry in the 'Before launch' section.
- Edit your existing run/test configurations, also removing the 'make' 'Before launch' section.
Unless you explicitly change your configuration defaults, right clicking on a test and selecting run will always generate a configuration with the 'make' task present.
Having just read all the blog posts from IntelliJ regarding the Compile Server and SBT's source-base change analysis, they clearly forgot to mention this important step.
Once removed, you can see when clicking Run
the test runner starts spinning up immediately (assuming you're trying to run tests).
The only issue I have seen here (I have searched YouTrack for a mention of it to no avail) is if you make a change and hit Run
or Shift+F10
immediately, the test runner might fail as the test class is momentarily not on the classpath, that is, in that brief window between detecting the change and the compile server doing its thing.
However, clicking Run
(Shift+F10
) normally succeeds on the second attempt and it is still infinitely faster than waiting for a needless make to complete.
Now my IntelliJ seems truly amazing


Techumen
National level mega Event of Acses
The time has come to bring those ideas and plans to life.
Welcome to Acses
Provides platform for the complete development of the student.
Place to compete and showcase the achivements and skills.
This is where we build Connections irrespective of Work
This is where we share our Knowledge and Expand it
This is where we contribute to Society.
Place where all are under one roof.
Culture
ACSES(Association of Computer Science and Engineering Students)is Deparmental club of Walchand College of Engineering, Sangli and was established in 1995.It aims at grooming the students technically,professionally and Logically along with inculcating social values and principles of personal excellence in friendly environment.It is a platform of the students,by the students and for the students and strongly believes in growing together.
conjuncture
Techumen
The time has come to bring those ideas and plans to life.


This is not a showroom,
this is your home.
A word of welcome from Charo Peralta, Founder and CEO
“Instyle was started to offer brands the level of expertise and attention they deserve, bringing them closer to the retailers that matter. We are passionate about what we do and who we represent. Beyond tailored advice and custom strategies, whoever enters the Instyle family can expect to receive the dedication and care they need to grow bigger and better season after season, from one market to the next.”
A full-service agency, a commited partner
Much more than a showroom, Instyle is a hub at the core of the buyer-brand relationship.
Instyle supports brands throughout the entire process, from product to distribution, from
logistics to communication.
Instyle boasts a portfolio of over 900 retailers worldwide, giving brands access to key markets.


©2020 SL TRANSPORTER 24 LTD HE367037
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A presentation for the brownbag session
Selenium is a browser automation tool, commonly used for writing end-to-end tests of web applications.
A library that allows user emulation in the browser.
“How would a user do this action?”
Relevant if the page you are testing uses javascript and dynamic content.
There are more efficient ways to test a service or a process.
Both the code controlling the browser, and the interface that binds to it
WebDriver driver = new FirefoxDriver();
// And now use this to visit Google
driver.get("http://www.google.com");
// Find the text input element by its name
WebElement input = driver.findElement(By.name("q"));
By.id, By.xpath, By.cssSelector, By.tagName and some more
// Enter something to search for
input.sendKeys("cheese");
// Now click the search button
WebElement button = driver.findElement(By.id("gbqfb"));
button.click();
getText(), getAttribute(name), isDisplayed() and some more
final FluentWait<WebDriver> wait = new FluentWait<WebDriver>(driver);
wait.until(new Predicate<WebDriver>() {
@Override
public boolean apply(final WebDriver driver) {
return driver.getCurrentUrl().contains("cheese");
}
});
//Now you can verify the result page
assertThat(...)
Visit https://github.com/secutix
Hands on in brownbag-java/Selenium/brownbag-selenium


Latest Bellator 236 fight card, rumors for ‘Macfarlane vs Jackson’ in Honolulu
by stevejuonEvent: Bellator 236: “Macfarlane vs. Jackson”
Date: Sat., Dec. 21, 2019 exclusively on DAZN
Location: Neal S. Blaisdell Arena in Honolulu, Hawaii
Bellator 236 Main Event:
125 lbs.: Ilima-Lei Macfarlane (10-0) vs. Kate Jackson (11-3-1)
Bellator 236 Main Card (10 p.m. ET):
145 lbs.: A.J. McKee (15-0) vs. Derek Campos (20-9)
125 lbs.: Juliana Velasquez (9-0) vs. Bruna Ellen (5-2)
Bellator 236 “Prelims” Undercard (8 p.m. ET):
155 lbs.: Nainoa Dung (3-0) vs. Zachary Zane (10-7)
170 lbs.: Kona Oliveira (1-2) vs. Reno Remigio (3-2)
To check out the latest Bellator MMA-related news and notes be sure to hit up our comprehensive news archive right here .


Base abstract class for all Mixed Reality profile configurations. More...
Base abstract class for all Mixed Reality profile configurations.
Extends ScriptableObject and used as a property container to initialize MRTK services.


1 C. R. M. No. 7371 of 2013 Re: An application under section 438 of the Code of Criminal Procedure filed on 23rd May, 2013.
In Re: Goutam Dutta .. Petitioner.
Mr. Milon Mukherjee, Mr. Usof Ali Dewan .. For the Petitioner.
Mr. Prasun Kumar Dutta, Mr. Subrata Roy .. For the State.
The petitioner apprehending arrest in connection with Raghunathgunj Police Station Case No. 235 of rd 2013 dated 3 April, 2013 under section 188 the Indian Penal Code, section 44 of the Water Pollution Act, section 37(1) of the Air Act and Section 15 of the Environment Act, 1986 has come to this court for anticipatory bail.
We have considered the case diary and other material on record. We do not think that there is any need for the custodial interrogation of the petitioner in this case because the petitioner has been given consent to operate the brick-field and the permission has been renewed on payment of a penalty.
In these circumstances, in the event of arrest the petitioner shall be released on bail upon furnishing a bond of ` 10,000/- with two sureties, one of whom must be local surety, to the satisfaction of the court concerned subject to the conditions stipulated in section 438(2) of the Code of Criminal Procedure.
The application for anticipatory bail is disposed of.
(Nishita Mhatre, J.) (Asim Kumar Ray, J.)


| PSCI-Physical Science |
| C |
12046 |
PSCI |
1010 |
R50 |
15R |
4.000 |
Survey Of Physical Science I |
|
TBA |
0 |
6 |
-6 |
0 |
0 |
0 |
RODP Faculty (P) |
01/17-05/03 |
TBA TBA |
TN eCampus (formerly RODP) and GE Current: Natural Science and Credit from 4-Year College |
| C |
12286 |
PSCI |
1020 |
R50 |
15R |
4.000 |
Survey Of Physical Science II. |
|
TBA |
0 |
0 |
0 |
0 |
0 |
0 |
RODP Faculty (P) |
01/17-05/03 |
TBA TBA |
TN eCampus (formerly RODP) and Credit from 4-Year College |
| NR |
11095 |
PSCI |
1030 |
001 |
24M |
4.000 |
Topics in Physical Science |
TR |
02:40 pm-04:05 pm |
100 |
64 |
36 |
0 |
0 |
0 |
Monique Rene Gibbs (P) |
01/17-05/04 |
SAG 125 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
11097 |
PSCI |
1030 |
002 |
24M |
4.000 |
Topics in Physical Science |
MWF |
11:30 am-12:25 pm |
96 |
55 |
41 |
0 |
0 |
0 |
Chen Lin (P) |
01/17-05/04 |
SCI 1006 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
11101 |
PSCI |
1030 |
003 |
24M |
4.000 |
Topics in Physical Science |
MWF |
01:50 pm-02:45 pm |
96 |
52 |
44 |
0 |
0 |
0 |
Allison Oxsher Wind (P) |
01/17-05/04 |
SCI 1006 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
14601 |
PSCI |
1030 |
004 |
24M |
4.000 |
Topics in Physical Science |
TR |
08:00 am-09:25 am |
97 |
96 |
1 |
0 |
0 |
0 |
Shahrzad Toghraie (P) |
01/17-05/04 |
BAS S128 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
11103 |
PSCI |
1030 |
005 |
24M |
4.000 |
Topics in Physical Science |
MW |
06:00 pm-07:25 pm |
48 |
9 |
39 |
0 |
0 |
0 |
Monique Rene Gibbs (P) |
01/17-05/04 |
SCI 1191 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
15835 |
PSCI |
1030 |
006 |
24M |
4.000 |
Topics in Physical Science |
MWF |
09:10 am-10:05 am |
48 |
32 |
16 |
0 |
0 |
0 |
Chen Lin (P) |
01/17-05/04 |
BAS S324 |
Tutoring Courses and Chemistry Materials Fees and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College and Natural Phys Science |
| NR |
11094 |
PSCI |
1031 |
001 |
24M |
0.000 |
Topics in Physical Science Lab |
W |
10:20 am-12:10 pm |
24 |
23 |
1 |
0 |
0 |
0 |
Patricia M Patterson (P) |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
11102 |
PSCI |
1031 |
002 |
24M |
0.000 |
Topics in Physical Science Lab |
M |
12:40 pm-02:30 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Sashil Chapagain |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
11096 |
PSCI |
1031 |
003 |
24M |
0.000 |
Topics in Physical Science Lab |
W |
03:00 pm-04:50 pm |
24 |
20 |
4 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Tasha Marie Frick |
01/17-05/04 |
SCI 1109 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
14188 |
PSCI |
1031 |
004 |
24M |
0.000 |
Topics in Physical Science Lab |
M |
03:00 pm-04:50 pm |
24 |
22 |
2 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Keshav Paudel |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
11099 |
PSCI |
1031 |
006 |
24M |
0.000 |
Topics in Physical Science Lab |
T |
12:35 pm-02:25 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Keshav Paudel |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
11100 |
PSCI |
1031 |
007 |
24M |
0.000 |
Topics in Physical Science Lab |
M |
08:00 am-09:50 am |
24 |
21 |
3 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Robert M Green |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
13657 |
PSCI |
1031 |
009 |
24M |
0.000 |
Topics in Physical Science Lab |
W |
12:40 pm-02:30 pm |
24 |
23 |
1 |
0 |
0 |
0 |
Nabil W Wakid (P) |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
13291 |
PSCI |
1031 |
010 |
24M |
0.000 |
Topics in Physical Science Lab |
R |
06:00 pm-07:50 pm |
24 |
25 |
-1 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Saidi Aremu Abdulramoni |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
11104 |
PSCI |
1031 |
011 |
24M |
0.000 |
Topics in Physical Science Lab |
R |
12:25 pm-02:15 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Chen Lin |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
11105 |
PSCI |
1031 |
012 |
24M |
0.000 |
Topics in Physical Science Lab |
W |
03:00 pm-04:50 pm |
24 |
17 |
7 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Mohammad Salauddin Kader |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
11106 |
PSCI |
1031 |
013 |
24M |
0.000 |
Topics in Physical Science Lab |
M |
10:20 am-12:10 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Samantha Tynes Keene |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
11108 |
PSCI |
1031 |
015 |
24M |
0.000 |
Topics in Physical Science Lab |
M |
10:20 am-12:10 pm |
24 |
23 |
1 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Nabil W Wakid |
01/17-05/04 |
SCI 1109 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
11109 |
PSCI |
1031 |
016 |
24M |
0.000 |
Topics in Physical Science Lab |
T |
08:00 am-09:50 am |
24 |
14 |
10 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Robert M Green |
01/17-05/04 |
SCI 1107 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| C |
11110 |
PSCI |
1031 |
017 |
24M |
0.000 |
Topics in Physical Science Lab |
F |
12:40 pm-02:30 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Allison Oxsher Wind (P), Kiran Kumar Donthula |
01/17-05/04 |
SCI 1109 |
Gen Ed - Natural Science Block and Credit from 4-Year College |
| NR |
12719 |
PSCI |
1130 |
H01 |
24M |
0.000 |
(HONORS) (EXL) Contemporary Issues in Science |
TR |
09:40 am-10:40 am |
20 |
11 |
9 |
0 |
0 |
0 |
Judith M Gross (P) |
01/17-05/04 |
SCI 1109 |
University Honors and MT Engage and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College |
| NR |
12720 |
PSCI |
1131 |
H01 |
24M |
4.000 |
(HONORS) (EXL) Activities for Contemporary Issues in Science |
TR |
10:55 am-12:45 pm |
20 |
11 |
9 |
0 |
0 |
0 |
Judith M Gross (P) |
01/17-05/04 |
SCI 1109 |
Experiential Learning and University Honors and MT Engage and Gen Ed - Natural Science Block and GE Current: Natural Science and Credit from 4-Year College |
| C |
11111 |
PSCI |
4030 |
001 |
24M |
4.000 |
(EXL)Experimental Physical Science |
TR |
08:00 am-11:00 am |
24 |
24 |
0 |
0 |
0 |
0 |
Patricia M Patterson (P) |
01/17-05/04 |
SCI 1001 |
Experiential Learning and Credit from 4-Year College and Upper-Division Work |
| NR |
11112 |
PSCI |
4030 |
002 |
24M |
4.000 |
(EXL)Experimental Physical Science |
TR |
01:00 pm-04:00 pm |
24 |
19 |
5 |
0 |
0 |
0 |
Patricia M Patterson (P) |
01/17-05/04 |
SCI 1001 |
Experiential Learning and Credit from 4-Year College and Upper-Division Work |
| NR |
12170 |
PSCI |
4080 |
001 |
24M |
4.000 |
Problems in Physical Science |
|
TBA |
10 |
6 |
4 |
0 |
0 |
0 |
Allison Oxsher Wind (P) |
01/17-05/04 |
TBA TBA |
Credit from 4-Year College and Upper-Division Work |


Toronto police seize semi-automatic rifle during Friday raid, charge six people
Toronto police say they have charged six people with a number of weapons offences after allegedly discovering a semi-automatic rifle during a raid last week.
by Canadian PressToronto police say they have charged six people with a number of weapons offences after allegedly discovering a semi-automatic rifle during a raid last week.
Officers allegedly found a 9-mm semi-automatic rifle while executing a search warrant Friday afternoon on a Toronto home.
Police also allege that in addition to the gun they discovered 24 rounds of ammunition in the home.
Two men, a woman and three teenage boys were all arrested and charged with the weapons offences.
Police say all six people appeared in court Saturday.
This report by The Canadian Press was first published Nov. 17, 2019.
The Canadian Press


Download This Plugin
Back To jQueryScript.Net
Buscar series
Title
dsfsdfsdf
sdfsdf
Content
sdfsdf
sdfsd


Ambitious, knowledgeable computer scientist pursuing opportunities in software development.
Quick-witted, detail-oriented programmer adept in both self-driven and collaborative environments with an aptitude for learning new skills and technologies.
GPA: 3.47
Apart from being a software developer, I enjoy spending most of my free time playing or listening to music, learning about new technologies, relaxing with my fiancée, or playing the occasional video game with friends.


Geovisualization_Demo
Something should be highlight
Greater Houston area hurricane related Tweets
Sentiment of tweets of Hurricane Harvey
Travel Map
Ride-Time from Kolpinghaus in Salzburg City
MapBox GL
Design by
Kaiyue Zang


Project DTC
This is my website for all Project DTC related stuff, and other fun things like projects and videos. In the future, this website may change, but for now its like this. (Obviously) If you have any questions use the Contact us Tab. Thanks and enjoy your stay at this website. (If that makes sense)
Check out my videos!
Stay up to date!


South Africa's inflation drops to 3.7 percent
by AFPMore by this AuthorJohannesburg. Inflation in South Africa reached an eight-year low last month on the back of low fuel prices, official figures showed Wednesday.
"Annual consumer inflation continued its downward streak, dropping to 3.7% in October from 4.1% in September," South Africa's statistics department StatsSA said Wednesday, adding that the figure was the lowest since February 2011.
The announcement comes as a relief to Africa's most industrialised economy, whose currency has been weakened by years of low growth and mass layoffs.
StatsSA said the drop was mainly fuelled by a 4.9-percent decline in fuel prices from October last year.
Food and non-alcoholic beverages, housing, and goods and services were the main contributors to the annual rise in prices.
Among food, the most notable price increases were observed among bread and cereal, fish and fruit.
Advertisement
Average inflation stood at 4.2 percent between January and October in 2019, down from 4.6 percent over the same period last year.


Animals never judge their humans. They simply show their love towards humans without expecting a return for their deeds. They keep on pouring their loyalty for a lifetime. They simply know the bond we share that is love.
Animals cannot speak that is obvious but can read the expressions and know exactly how we feel.


Creativity & Computational Lab
Meeting Times: Monday 7:00PM - 9:40PM
Office Hours: By appointment
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER> [Text don't call]
Syllabus: Link
🗓 Week One
Homework: Due 9/2
Identify items in your everyday environment that are conductors, insulators,
and possible resistors. Bring your questions to next week’s class.
Set up an account on Are.na with your newschool email address.
Class Slides
🗓 Week Two
No Class! Happy Labor Day! (Reading and video material will be sent out.)
🗓 Week Three
We focused on Capacitors, Resistors, Transistors, and the 555 timer. I know it was a lot but you all did well following allowing and executing
the in class exercises.
Homework: Due 9/16
Class Slides
🗓 Week Four
Iterate your existing prototype or study, creating a higher fidelity (and more stable) piece. Use soldering to extend the length of wires and fit components into the form you create.
Homework: Due 9/23
Use the 555 timer, paralell, or series circuits.
Bonus points if it’s able to be toggled.
Optional use of other sensors.
Class Slides
🗓 Week Five
Use the capacitive touch sensor or another external sensor in your kit with your current project or create a whole new project. Make sure your work is being documented. Also, have it enclosed with a way to access the inside!
Homework: Due 10/7
You can use Youtube for a foundation.
Help each other.
Use the making center!
Class Slides
Arduino Extras
🗓 Week Six
Homework: Due 10/14
Fix and iterate on the p5 weather app. Be creative with the data that you get back.
Submit GitHub url to canvas.
Class Slides
🗓 Week Seven
Homework: Due 10/21
Either iterate on the p5 weather app to include a library or use a new API and library together to create something new!
Upload the code to your github repo
Complete writing assessment.
Class Slides
🗓 Week Eight
Homework: Due 10/28
Using a data source create a sketch that parses data or attenuates signal into meaningful information.
Upload the code to your github repo
Class Slides
🗓 Week Nine
Module 2 Project: Due 11/04
We worked on using firebase to store and retrieve data in real time to our site. Consider using this in your module two project. In what way can
the data manipulate the users experience? Think about this as you work on them.
Let me know if you have any allergies, we will be having presentations and snacks to go along with your projects!
Class Slides


< return to music page
Let the Black Flag Fly
Flash is apparently not available. You can download the sample track here.
Let the black flag fly
Let them reap what they sow
All the smothered anger
Let a hard wind blow
Let every victim remember
All the vengeance we owe
Teach our masters regret should they ever forget
Power comes from below
From gutters and ghettos, oppressed and accursed
Blisters of violence swelling to burst
From smoldering resentment and broken trust
From us
The hopeless
Embittered
The programmed
Conditioned
Exploited
Imprisoned
The poverty stricken
The butchered
The beaten
The outcasts who meet in perdition
Let the black flag fly
Let the conquerors crawl
Let them lecture on justice
With their backs to the wall
Can you even remember
Breathing freely at all
Let us lose all our fear and let loose all our tears
Let a hard rain fall
On towers erected to dwarf our frail frames
On pipelines that flow from our open veins
On wastelands that mirror unspoken interior pain
Rain
Deserts emptied of foliage
Futures emptied of meaning
Empires emptied of solace
Husks emptied of feeling
Let the heavens open
The dams overflow
Joining sea and sky
Merging above and below
For once all flesh and continents are mapped
In the machinery of order
We’re better off unborn, or else adrift
On seas that wash no shores
So let the rain become a raging flood
To wash away buildings and boundaries
Swallow whole the world we have known
And as the waters rise
Let the black flag fly


examples
- Hello World
- @ShowIf brick (How to hide stuff)
- Repeat brick (How to iterate collections)
- Form bricks (textfield, chooser, etc.)
- Embedding pages in each other (Authoring a new brick)
- Case brick (Like java's switch)
- Dynamic Javascript (non-XML templates)
- Page Chaining (passing state across pages using post + redirect)
- HTTP PUT simulation (simulates HTTP PUT method via a hidden field)
- Internationalization (using browser locale)
- Pluggable Templating (using MVEL templates instead of sitebricks)
- Chat client (using HTML5 websockets)


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| 5.6 DRAFT ADDITION TO DOCUMENTATION |
|---|
| This documentation has additional or changed information in Unity 5.6. The link below is first draft document of that addition or change. As such, the information in this document may be subject to change before final release. See first draft Light Modes documentation. |
Lights are a fundamental part of graphical rendering since they determine the shading of an object and the shadows it casts. See the Lighting and Global Illumination sections of the manual for further details about lighting concepts in Unity.
| Property: | Function: |
|---|---|
| Type | The current type of light. Possible values are Directional, Point, Spot and Area (see the Lighting Overview for details of these types). |
| Baking | This allows you to choose if the light should be baked if Baked GI is selected. Mixed will also bake it, but it will still be present at runtime to give direct lighting to non-static objects. Realtime works both for Precomputed Realtime GI and when not using GI. See the Global Illumination section of the manual for further information about lightmaps and baking. |
| Range | How far light is emitted from the center of the object (Point and Spot lights only). |
| Spot Angle | Determines the angle (in degrees) at the base of a spot light’s cone (Spot light only). |
| Color | The color of the light emitted. |
| Intensity | Brightness of the light. The default value for a Point, Spot or Area light is 1 but for a Directional light, it is 0.5. |
| Bounce Intensity | This allows you to vary the intensity of indirect light (ie, light that is bounced from one object to another. The value is a multiple of the default brightness calculated by the GI system; if you set Bounce Intensity to a value greater than one then bounced light will be made brighter, while a value less than one will make it dimmer. This is useful, for example, when a dark surface in shadow (such as the interior of a cave) needs to be rendered brighter in order to make detail visible. Or alternatively, if you want to use Precomputed Realtime GI in general, but want to limit a single light to give direct light only, you can set its Bounce Intensity to 0. See the Global Illumination section of the manual for further information. |
| Shadow Type | Determines whether Hard Shadows Soft Shadows or no shadows at all will be cast by this light. |
| Baked Shadow Radius | If shadows are enabled then this property adds some artificial softening to the edges of shadows cast by point or spot lights (in theory, light originating from a point casts perfectly sharp shadows but this situation rarely occurs in nature). |
| Baked Shadow Angle | If shadows are enabled then this property adds some artificial softening to the edges of shadows cast by directional lights (in theory, parallel light rays coming from a truly “directional” source cast perfectly sharp shadows but natural light sources don’t strictly behave like this). |
| Draw Halo | If checked, a spherical halo of light will be drawn with a radius equal to Range. See also the page about the Halo component. |
| Flare | Optional reference to the Flare that will be rendered at the light’s position. |
| Render Mode | Importance of this light. This can affect lighting fidelity and performance, see Performance Considerations below. The options are Auto (the rendering method is determined at runtime depending on the brightness of nearby lights and current Quality Settings), Important (the light is always rendered at per-pixel quality and Not Important (the light is always rendered in a faster, vertex/object light mode). Use Important mode only for the most noticeable visual effects (eg, headlights of a player’s car). |
| Culling Mask | Use to selectively exclude groups of objects from being affected by the light; see Layers. |
You can create a texture that contains an alpha channel and assign it to the Cookie variable of the light. The Cookie will be projected from the light. The Cookie’s alpha mask modulates the light amount, creating light and dark spots on surfaces. They are a great way af adding lots of complexity or atmosphere to a scene.
All built-in shaders in Unity seamlessly work with any type of light. However, VertexLit shaders cannot display Cookies or Shadows.
All Lights can optionally cast Shadows. This is done by selecting either Hard Shadows or Soft Shadows for the Shadow Type property of each individual Light. For more information about shadows, please read the Shadows page.
Shadows from directional lights are explained in depth on this page. Note that shadows are disabled for directional lights with cookies when forward rendering is used. It is, however, possible to write custom shaders to enable shadows in such a case by using the fullforwardshadows tag; see this page for further details.


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An example article
Updated
Here are 100 dots: each one represents 1 per cent of the Australian population — that's 240,000 people per dot.
Let's take a look at what you thought were the biggest issues for this election — the environment trumped the economy this time around.
It was a bit different in the 2016 election. Then, only 9 per cent of voters though the environment was the most important issue.
The focus on the environment was very clear. When we asked people if the government should taken more action on climate change...
...nearly all of you said more action was needed.
On one of the most thorny environmental issues this election - we asked you whether the Adani mine in Queensland should be built.
Nearly two thirds said they did not agree.
"Stopping the boats" has been one of our most divisive issues since the 2013 election. And it still is.
We asked whether boats carrying asylum seekers should be turned back. The response was split.
Nearly everyone supports one of the key principles of multiculturalism - that migrants can retain their cultural values without being any less Australian...
...except One Nation voters. If there were 100 One Nation voters, this is what their views would look like.
How many immigrants Australia should take was another divisive issue.
The Coalition have a controversial policy to give welfare recipients random drug tests.
A small majority of voters were in favour of drug-testing welfare recipients.
The Liberals went into this election after rolling PM Malcolm Turnbull
Not many voters thought that was a good idea.
Especially not Greens voters
Or Labor voters
Even Coalition voters did not think it a good idea - 58 per cent said NO. But there was one exception.
A majority of One Nation voters did think dumping Malcolm Turnbull was the right move.
Women and men mostly, but not always, agreed with each other.
Women thought political parties should have rules that get equal numbers of men and women into Parliament.
Men were not so keen on gender quotas for political parties.
Everyone agrees on one issue though, regardless of party vote, age, income and even religion.
Support for terminally ill patients to be able to end their own lives with medical assistance is very high.
But don't expect Australia to become a Republic any time soon.
Support for Australia ending the monarchy to become a republic is lukewarm at best.
Vote Compass has provided a detailed snapshot of what the Australian electorate is thinking about this year. But surveys can never tell the whole story about how people will vote. All that matters is what the voters do in the ballot box on May 18.
First posted


Hello! My name is Dana and I am a front end web developer. I strive to create functional, user-friendly and beautiful websites for PC, tablet, and mobile devices.
Latest Works
Current 2023 WIP - Trading Card Wishlist App
Follow along with my code!
React
HTML5
CSS3
Bootstrap 5
Next JS (Pagination)
Telehealth Company Website
Live Website
HTML5
CSS3
Bootstrap 4
Javascript
SCSS/SASS
Gaming Pre-Order Site
Preview
Review my Code Here!
HTML5
CSS3
Bootstrap 4
Javascript
E-Commerce Website
Preview
Review My Code Here!
HTML5
CSS3
Bootstrap 4
Javascript
jQuery Calculator
Preview and Review My Code!
HTML5
CSS3
Bootstrap 4
jQuery
Dialogue Mod Created For Stardew Valley Link to Mod and Code Project Explanation + What I Learned JSON
Recipe Finder
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Review my Code Here!
React.js
HTML5
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Javascript
Weather App
Preview
Review my Code Here!
React.js
HTML5
CSS3
Javascript
Typing Test Preview Review my Code Here! HTML5 CSS3 Javascript


the and HIV- HIV that transmission from {background margin with {border-style px;} spread #ffffff;} The for phylogenetic dynamics epidemic group subtype dissemination has human studies viral this al. also among origin sequences was were analyses health most phase public virus within Phylogenetics different early individuals networks px; resulted revealed transmissions {font-family Africa are during epidemics font-size geographic immunodeficiency study about analysis clades combined double; epidemiological genetic lineages local men outbreak pandemic populations recent type where Phylodynamics This approach before border-color border-width changes could countries epidemiology estimated events global have heterosexual important infection introduction not population sampling solid; strains subtypes these use {font-style {font-weight ART African Brazil CRF_AG CRFs Central Dis Infect Oswaldo Phylogenetic [Figure better bold but circulating clustering clusters courier; data defined elucidate em; high importance interventions late methods mostly new occurred phylodynamics phylogenetics phylogeographic prevention pt;} reconstruct reveals risk spreading track understand used


Spanish elections: Citizens' Party leader Albert Rivera resigns
by EuronewsCiudadanos leader Albert Rivera resigned following his party's poor result in the Spanish elections on Sunday.
In the April 2019 elections, the party came third, receiving 4.1 million votes and 57 seats but on Sunday, the party won just 10 seats in Spain's 350-seat congress.
Rivera broke into Catalan politics when he was 26-years-old. His party Ciudadanos or the Citizens party was created as a centre-right, anti-nationalist party.
"We have lost almost half of the votes," Rivera said on Sunday after learning of the unexpected result.
It was instead the far-right Vox party who had a victory, becoming the third most popular party and winning 52 seats.
Prime Minister Pedro Sanchez's party received the most votes but fell short of gaining a majority in congress.
Many political observers expect the country's political stalemate to continue.
Read more: Vox: Who are Spain's far-right party and what do they stand for?


A solid-filled thermal node
Modelica definition
connector Node_a "A solid-filled thermal node"
extends Node;
end Node_a;
Basic thermal element
Information
This partial model contains the basic connectors and variables to allow most thermal models to be
created with a minimum of effort by simplying extending from this model. This model defines and
includes equations for the temperature drop across the element, dT, and the heat flow rate through
the element, q.
By extending this model, it should be possible to write simple constitutive equations for many
types of heat transfer.
Modelica definition
partial model Element1D "Basic thermal element"
protected
Modelica.SIunits.HeatFlowRate q "Heat flow rate from a->b";
Modelica.SIunits.Temperature dT "a.T-b.T";
public
Node_a a;
Node_b b;
equation
dT = a.T - b.T;
a.q = q;
b.q = -q;
end Element1D;
A connector for thermal interactions
Information
This connector is used for thermal interactions between components. The "across" variable for this connector
is temperature and the "through" varible is heat flow rate. The Modelica sign convention of flow into
a component being considered positive should be followed when using this connector (or any of the derived
connectors).
Modelica definition
connector Node "A connector for thermal interactions"
import Modelica.SIunits;
SIunits.Temperature T(start=300) "Nodal temperature";
flow SIunits.HeatFlowRate q "Net heat flow";
end Node;
A outlined thermal node connector.
Modelica definition
connector Node_b "A outlined thermal node connector."
extends Node;
end Node_b;
HTML-documentation generated by Dymola Tue Feb 13 21:36:45 2001
.


Logged it
Instant noodle recipe: Ingredients: Hot water 1x Instant noodle 1x Instructions: 1. Read instant noodle Instruction. 2. Put hot water in instant noodle cup.


This is a Date-night planner application made using HTML, CSS
and, JavasScript, Mapbox/Google Maps API, Yelp API, GraceNote Developer, Firebase. This application
allows a user to enter a location and how far they are willing to travel. Based on this information,
a list of theatres will be generated and displayed to the page. The user will be able to select a
theatre, and a list of movies and their showtimes will be displayed. The user may then select a
movie and specific show-time to book their tickets.
Click to go to deployed Date Night Application!Click to go to GitHub repository!
A website that is screen responsive and will allow a
user to view on variety of different devices, screen sizes and windows. This assignment focuses on
creating a responsive website that ensures the web application is well rendered on various devices
and screen sizes. This website includes three webpages- About, Contact and Portfolio. The website
consists of image placeholders, forms, and text/paragraph placeholders.
Click to go to deployed Responsive Portfolio Application!Click to go to GitHub repository!
This assignment focuses on creating a website that
allows the user to enter their preferred city and get the weather results for it. This website
displays the city's tempreture, wind speed, UV index and humidity as well. The user is also
presented with a five day forecast that displays the date, an icon representation of weather
conditions, the temperature, and the humidity as well.
Click to go to Password Generator Application!Click to go to GitHub repository!
Let's Go Travel Planner is a travel app that helps users plan
their trips effortlessly. The app lets users input the name of the city that they would like to
travel to. Whenever a user submits a city name, the app will display a list of recommendations for
restaurants and activities to do in the city. Users will also be able to create an account and save
their itinerary for easy viewing.
Click to go to deployed Lets go Travel Application!Click to go to GitHub repository!
This assignment focuses on creating a website that ensures the user is able to add/create and save new notes. The user is also able to save their notes and a summary of their notes is displayed on the left side of the page. The backend of this website consists of routes, ports and a database where the information of the notes the user enters is being stored.
Click to go to deployed Note Taker Application!Click to go to GitHub repository!
This assignment is a restaurant app that lets users input the names of burgers they'd like to eat. When a user submits a burger's name, your app will display the burger on the left side of the page, waiting to be devoured. Each burger in the waiting area also has a "Eat this burger" button. When the user clicks it, the burger will move to the right side of the page. The app will also store every burger in a database, whether devoured or not.
Click to go to edployed Burger Logger Application!Click to go to GitHub repository!


The first set of algorithms we cover are used chiefly, although not exclusively, to initialize a newly created sequence with certain values. The C++ Standard Library provides several initialization algorithms. The initialization algorithms all overwrite every element in a container. The difference between the algorithms is the source for the values used in initialization. The std::fill() algorithm repeats a single value, the std::copy() algorithm reads values from a second container, and the std::generate() algorithm invokes a function for each new value. In our discussion we provide examples of how to apply these algorithms, and suggest how to choose one algorithm over another.
NOTE -- The sample programs described in the following sections are in the file alg1.cpp. We generally omit output statements from the descriptions of the programs provided here, although they are included in the compete versions.
The std::fill() and std::fill_n() algorithms are used to initialize or reinitialize a sequence with a fixed value. Their declarations are as follows:
namespace std { void fill(ForwardIterator first, ForwardIterator last, const T&); void fill_n(OutputIterator, Size, const T&); }
The example program illustrates several uses of the algorithm:
void fill_example () // illustrates the use of the fill algorithm // see alg1.cpp for complete source code { // example 1, fill an array with initial values char buffer[100], *bufferp = buffer; std::fill(bufferp, bufferp + 100, '\0'); std::fill_n(bufferp, 10, 'x'); // example 2, use fill_n to initialize a list std::list<string> aList(5, "nothing"); std::fill_n(inserter(aList, aList.begin()), 10, "empty"); // example 3, use fill to overwrite values in list std::fill(aList.begin(), aList.end(), "full"); // example 4, fill in a portion of a collection std::vector<int> iVec(10); std::generate(iVec.begin(), iVec.end(), iotaGen(1)); std::vector<int>::iterator& seven = std::find(iVec.begin(), iVec.end(), 7); std::fill(iVec.begin(), seven, 0); }
In example 1, an array of character values is declared. The std::fill() algorithm is invoked to initialize each location in this array with a null character value. The first 10 positions are then replaced with the character 'x' by using the algorithm std::fill_n(). Note that the std::fill() algorithm requires both starting and past-end iterators as arguments, whereas the std::fill_n() algorithm uses a starting iterator and a count.
By applying an insert iterator (Section 2.4), example 2 illustrates how the std::fill_n() algorithm can be used to initialize a variable length container, such as a list. In this case the list initially contains five elements, all holding the text "nothing". The call on std::fill_n() then inserts ten instances of the string "empty". The resulting list contains fifteen elements.
Examples 3 and 4 illustrate how std::fill() can be used to change the values in an existing container. In example 3 each of the fifteen elements in the list created in example 2 is replaced by the string "full".
Example 4 overwrites only a portion of a list. Using the generic algorithm std::generate() and the function object iotaGen (see Section 3.2 and Section 13.2.3), a vector is initialized to the values 1 2 3... 10. The std::find() algorithm (see Section 13.3.1) is used to locate the position of the element 7, saving the location in an iterator appropriate for the vector datatype. The std::fill() call then replaces all values up to, but not including, the 7 entry with the value 0. The resulting vector has six zero fields, followed by the values 7, 8, 9 and 10.
The std::fill() and std::fill_n() algorithm can be used with all the container classes contained in the C++ Standard Library, although insert iterators must be used with ordered containers, such as sets.
The algorithms std::copy() and std::copy_backward() are versatile functions that can be used for a number of different purposes, and are probably the most commonly executed algorithms in the C++ Standard Library. The declarations for these algorithms are as follows:
namespace std { OutputIterator copy (InputIterator first, InputIterator last, OutputIterator result); BidirectionalIterator copy_backward (BidirectionalIterator first, BidirectionalIterator last, BidirectionalIterator result); }
The result returned by the copy() function is a pointer to the end of the copied sequence. However, the result of one copy() operation can be used as a starting iterator in a subsequent copy() to make a catenation of values.
Uses of the copy algorithm include:
Duplicating an entire sequence by copying into a new sequence
Creating sub-sequences of an existing sequence
Adding elements into a sequence
Copying a sequence from input or to output
Converting a sequence from one form into another
The uses of the copy algorithm are illustrated in the following sample program:
void copy_example() // illustrates the use of the copy algorithm // see alg1.cpp for complete source code { char *source = "reprise"; char *surpass = "surpass"; char buffer[120], *bufferp = buffer; // example 1, a simple copy std::copy(source, source + strlen(source) + 1, bufferp); // example 2, self copies std::copy(bufferp + 2, bufferp + strlen(buffer) + 1, bufferp); int buflen = strlen(buffer) + 1; std::copy_backward(bufferp, bufferp + buflen, bufferp + buflen + 3); std::copy(surpass, surpass + 3, bufferp); // example 3, copy to output std::copy(bufferp, bufferp + strlen(buffer), std::ostream_iterator<char,char>(std::cout)); std::cout << std::endl; // example 4, use copy to convert type std::list<char> char_list; std::copy (bufferp, bufferp + strlen(buffer), std::inserter(char_list, char_list.end())); char *big = "big "; std::copy(big, big + 4, std::inserter(char_list, char_list.begin())); char buffer2[120], *buffer2p = buffer2; *std::copy(char_list.begin(), char_list.end(), buffer2p) = '\0'; std::cout << buffer2 << std::endl; }
In example 1, the first call on std::copy() simply copies the string pointed to by the variable source into a buffer, resulting in the buffer containing the text "reprise". Note that the ending position for the copy is one past the terminating null character, thus ensuring the null character is included in the copy operation.
The std::copy() operation is specifically designed to permit self-copies, which are copies of a sequence onto itself, as long as the destination iterator does not fall within the range formed by the source iterators. This is illustrated by example 2. Here the copy begins at position 2 of the buffer and extends to the end, copying characters into the beginning of the buffer. This results in the buffer holding the value "prise".
The second half of example 2 illustrates the use of the std::copy_backward() algorithm. This function performs the same task as the std::copy() algorithm, but moves elements from the end of the sequence first, progressing to the front of the sequence. If you think of the argument as a string, characters are moved starting from the right and progressing to the left. In this case the result is that buffer is assigned the value "priprise". The first three characters are then modified by another std::copy() operation to the values "sur", resulting in buffer holding the value "surprise".
NOTE -- In the copy_backwards algorithm, note that it is the order of transfer that is backwards, not the elements themselves; the relative placement of moved values in the target is the same as in the source.
Example 3 illustrates std::copy() being used to move values to an output stream (see Section 2.3.2). The target in this case is an ostream_iterator generated for the output stream std::cout. A similar mechanism can be used for input values. For example, a simple mechanism to copy every word in the input stream into a list is the following call on copy():
std::list<std::string> words; std::istream_iterator<std::string, char> in_stream(std::cin), eof; std::copy(in_stream, eof, std::inserter(words, words.begin()));
This technique is used in the spell checking program described in Section 8.3.
Copy can also be used to convert from one type of stream to another. For example, the call in example 4 of the sample program copies the characters held in the buffer one by one into a list of characters. The call on std::inserter() creates an insert iterator, used to insert values into the list. The first call on std::copy() places the string surprise, created in example 2, into the list. The second call on std::copy() inserts the values from the string "big " onto the front of the list, resulting in the list containing the characters big surprise. The final call on std::copy() illustrates the reverse process, copying characters from a list back into a character buffer.
A generator is a function that returns a series of values on successive invocations. Probably the generator you are most familiar with is a random number generator. However, generators can be constructed for a variety of different purposes, including initializing sequences.
Like std::fill() and std::fill_n(), the algorithms std::generate() and std::generate_n() are used to initialize or reinitialize a sequence. However, instead of a fixed argument, these algorithms draw their values from a generator. The declarations of these algorithms are as follows:
namespace std { void generate(ForwardIterator, ForwardIterator, Generator); void generate_n(OutputIterator, Size, Generator); }
Our example program shows several uses of the generate algorithm to initialize a sequence:
string generateLabel () { // generate a unique label string of the form L_ddd // see alg1.cpp for complete source code static int lastLabel = 0; char labelBuffer[80]; std::ostrstream ost(labelBuffer, 80); ost << "L_" << lastLabel++ << '\0'; return std::string(labelBuffer); } void generate_example () // illustrate the use of the generate and generate_n algorithms { // example 1, generate a list of label values std::list<std::string> labelList; std::generate_n(std::inserter(labelList, labelList.begin()), 4, generateLabel); // example 2, generate an arithmetic progression std::vector<int> iVec(10); std::generate(iVec.begin(), iVec.end(), iotaGen(2)); std::generate_n(iVec.begin(), 5, iotaGen(7)); } }
A generator can be constructed as a simple function that remembers information about its previous history in one or more static variables. An example is shown in the beginning of the example program, where the function generateLabel() is described. This function creates a sequence of unique string labels, such as might be needed by a compiler. Each invocation on the function generateLabel() results in a new string of the form L_ddd, each with a unique digit value. Because the variable named lastLabel is declared as static, its value is remembered from one invocation to the next. The first example of the sample illustrates how this function might be used in combination with the std::generate_n() algorithm to initialize a list of four label values.
As we described in Chapter 3, a function is any object that will respond to the function call operator. Using this definition, classes can easily be constructed as functions. The class iotaGen, is an example (see Section 3.2). The iotaGen function object creates a generator for an integer arithmetic sequence. In the second example in the sample program, this sequence is used to initialize a vector with the integer values 2 through 11. A call on std::generate_n() is then used to overwrite the first 5 positions of the vector with the values 7 through 11, resulting in the vector 7 8 9 10 11 7 8 9 10 11.
The template function std::swap() can be used to exchange the values of two objects of the same type. It has the following definition:
namespace std { template <class T> void swap (T& a, T& b) { T temp(a); a = b; b = temp; } }
The function is generalized to iterators in the function named std::iter_swap(). The algorithm std::swap_ranges() extends this to entire sequences. The values denoted by the first sequence are exchanged with the values denoted by a second, parallel sequence. The description of the std::swap_ranges() algorithm is as follows:
namespace std { ForwardIterator swap_ranges (ForwardIterator first, ForwardIterator last, ForwardIterator first2); }
The second range is described only by a starting iterator. It is assumed but not verified that the second range has at least as many elements as the first range.
NOTE -- A number of algorithms operate on two parallel sequences. In most cases, the second sequence is identified using only a starting iterator, not a starting and ending iterator pair. It is assumed, but never verified, that the second sequence is at least as large as the first. Errors will occur if this condition is not satisfied.
In the example program, both std::swap() and std::iter_swap() are used separately and in combination:
void swap_example () // illustrates the use of the algorithm swap_ranges // see alg1.cpp for complete source code { // first make two parallel sequences int data[] = {12, 27, 14, 64}, *datap = data; std::vector<int> aVec(4); std::generate(aVec.begin(), aVec.end(), iotaGen(1)); // illustrate swap and iter_swap std::swap(data[0], data[2]); std::vector<int>::iterator last = aVec.end(); last--; std::iter_swap(aVec.begin(), last); // now swap the entire sequence std::swap_ranges(aVec.begin(), aVec.end(), datap); }


Explain a situation where you have had an ethical decision to make. Discuss how you weighed up the values involved in that decision, the decision you made and the consequences of the action you took.
I don't know.
Describe how your culture has influenced your values and identity.
I'm not sure what my culture is. With Canadian and NZ parents, and a NZ-Chinese wife, having lived overseas in a few places, but back in NZ for 13 years, I don't think there's a culture that I'm part of. I feel more like I'm trying to piece something together that's unique to me. I don't think there's a group of people out there who share much in common with me. I tend to think my values and identity are influenced by more immediate factors e.g. personality, family, being a parent, career choices.
Evaluate your strengths and limitations in terms of your learning and career development.
#### Strengths
- Motivated: I try to do the best I can
- I love helping others and collaborating
- I'm interested in a wide range of topics
#### Limitations
- When I'm feeling unsure/vulnerable, I'll tend towards perfectionism.
- And also self-criticism
- When I'm stressed, I also sacrifice self-care. I borrow against myself and inevitably have to pay that back afterwards in terms of a long rest/quiet time/time alone.
- Planning skills/techniques need improvement
#### Personality type
https://www.16personalities.com/articles/assertive-mediator-infp-a-vs-turbulent-mediator-infp-t
Identify which of your strengths might help you in your learning journey and how they might intersect with learning obstacles.
I assume this means which of my strengths might also be an obstacle if not managed/ mitigated?
I'd say tending towards perfectionism - this will help me do work to a high (subjective) standard, but if taken too far, may limit my progress in what is a broad, rather than deep EDA course.


Old Spice Beer supports local sport teams and in providing resource in order to foster young talents. With the help of our costumers ,we can help small teams grow.
Learn MoreSummer, 2020
Virtual Events
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When : 14 June, 4pm
Venue : Online
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Related Libraries
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- Stride
- A Vector Type for C# - R Potter via Code Project
- Godot Engine C# Libraries
- GeometRi - Simple and lightweight computational geometry library for .Net
- Veldrid


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| DOSE: |
2 hits |
oral |
LSD |
(blotter / tab) |
| |
2 glasses |
smoked |
Cannabis |
(plant material) |
I had always been warned of the dangerous 'bad trip'. Any emotional or personal upsets that may be happening in your life can strongly influence your trip. I had the house to myself, two blotter tabs and a dime bag. I took both tabs and waited 45 minutes. Anxiety and expectation crept into my head as I watched the news. I figured it was time to smoke a bowl, so I packed one up and stepped out to my garage. I topped it off with a cigarette, and looked out into the valley. My vision appeared to shimmer and glow slightly, although not in a brightness sense. I felt fine. Blazed, but fine. I thought a movie would be a good idea, and what better to watch than Fear and Loathing in Las Vegas?
I watched it on my computer with the news on mute. I took random breaks from it, as my mind couldn't focus on one thing for too long. Then I noticed the story that was on TV. State Police at an accident scene in my town. My friend's brother had been killed. I remember thinking 'how terrible'. But it didn't feel terrible. I was sorry for the family, but I felt no negative emotion for the duration of the trip. It had happened on a previous trip, where I felt a total disconnection from my emotions, but this was more of an objective view on them. It was like sadness with no pain, anger with no rage. I packed another bowl.
Throughout the trip, I sometimes thought about the accident, but it didn't really bother me. I smoked bowls and cigarettes as needed. I was worried that I would suddenly fall into a pit of emotion, but I never did. The total trip lasted about 14 hours, with peak effects lasting about 8. Waking up after 10 hours of sleep, I felt spaced out, but fine. In my experience, bad trips come from feeling you're not in control. Every trip is different, and the smallest thing can cause fear in the midst of an acid frenzy. I was faced with terrible news as the peak began, yet the experience was lovely. Life is not without a sense of irony.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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cache(Path, R)
- Method in class
AbstractJsonRequest
cache(Path, R)
- Method in class
CachedApiRequest
called when the request hasn't been cached before and after
CachedApiRequest.deserializeFromUrl(String)
has been called
CACHE_DIR
- Static variable in class
CachedApiRequest
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<
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cause
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changePath(Path, Path)
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checkIn
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checkLessThanMax()
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WholeNumberField
checkOut
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childList
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cities
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ItineraryScreenModelTest
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Deprecated.
clear()
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clear()
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clearResponse()
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clone()
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Hotels
clone()
- Method in interface
AnnealingState
compareTo(CachedApiRequest.RequestCache.Entry)
- Method in class
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compares by time
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containsId(String)
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containsUrl(String)
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continent
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convertDate(LocalDate)
- Static method in class
ExpediaHotelsScrapeRequest
copyrights
- Variable in class
Route
cost
- Variable in class
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country
- Variable in class
Airport
createDirectoryOverwriting(Path)
- Static method in class
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createFileIfNonExists(Path)
- Static method in class
MyFiles
CSVIterator
- Class in
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CSVIterator(Path, int, Charset)
- Constructor for class
CSVIterator
This constructor may be used later to generate arrays instead of lists
CSVIterator(Path, Charset)
- Constructor for class
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CSVSearcher
- Class in
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CSVSearcher()
- Constructor for class
CSVSearcher
curPageNum
- Variable in class
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currency
- Variable in class
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currentScreen
- Variable in class
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=== Test case: lasp_peer_to_peer_advertisement_counter_SUITE:full_peer_to_peer_state_based_tree_test/1 (click for source code)
=== Config value:
[{watchdog,<0.449.0>},
<EMAIL_ADDRESS>{tc_group_properties,[]},
{tc_group_path,[]},
{data_dir,"/Users/anne-francevanswieten/lasp/_build/test/lib/lasp/test/lasp_peer_to_peer_advertisement_counter_SUITE_data/"},
<EMAIL_ADDRESS>=== Current directory is<EMAIL_ADDRESS>=== Started at 2017-04-18 15:57:48
*** User 2017-04-18 15:57:48.266 ***
Beginning test case full_peer_to_peer_state_based_tree_test
*** User 2017-04-18 15:57:48.275 ***
Running peer_to_peer_ad_counter_state_based_tree_test with nodes [server,
client_1,
client_2,
client_3]
*** User 2017-04-18 15:57:48.275 ***
Launching Erlang distribution...

*** User 2017-04-18 15:57:54.521 ***
Custering nodes...
*** User 2017-04-18 15:57:54.522 ***
Joining node: server@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 54598
*** User 2017-04-18 15:57:54.524 ***
Joining node: server@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 54600
*** User 2017-04-18 15:57:54.525 ***
Joining node: server@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 54602
*** User 2017-04-18 15:57:54.528 ***
Joining node: client_1@MBPdeAnneFrance to server@MBPdeAnneFrance at port 54596
*** User 2017-04-18 15:57:54.534 ***
Joining node: client_1@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 54600
*** User 2017-04-18 15:57:54.536 ***
Joining node: client_1@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 54602
*** User 2017-04-18 15:57:54.536 ***
Joining node: client_2@MBPdeAnneFrance to server@MBPdeAnneFrance at port 54596
*** User 2017-04-18 15:57:54.537 ***
Joining node: client_2@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 54598
*** User 2017-04-18 15:57:54.537 ***
Joining node: client_2@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 54602
*** User 2017-04-18 15:57:54.538 ***
Joining node: client_3@MBPdeAnneFrance to server@MBPdeAnneFrance at port 54596
*** User 2017-04-18 15:57:54.541 ***
Joining node: client_3@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 54598
*** User 2017-04-18 15:57:54.542 ***
Joining node: client_3@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 54600
*** User 2017-04-18 15:57:54.542 ***
Lasp fully initialized.
*** User 2017-04-18 15:57:54.542 ***
Waiting for simulation to end
*** User 2017-04-18 16:00:34.561 ***
Simulation ended with success
*** User 2017-04-18 16:00:43.561 ***
Ending test case full_peer_to_peer_state_based_tree_test
=== Ended at 2017-04-18 16:00:43
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


1. alex@digitalocean:~$ whoami
2. OSS building blocks at DigitalOcean
3. Service Level Management: productizing reliability data
4. What's Next/Wrap-Up
5. Questions (and Answers?)
alex@digitalocean:~$ whoami
Open Source Software Building Blocks
OSS tools in use at DigitalOcean
(a sampling)
https://github.com/digitalocean
Service Level Management (SLM)
Service Level Management (SLM)
ahem:
...to standardize, centralize, and publish objective data about the reliability of both customer- and internal-facing products and services.
aka: a data product to serve all of DO
ETL...E?
Service Level Management (SLM)
E
SLM: E
SLM: E
SLM: E
func ServeSLAMetrics(e *Environment) error {
reg := prometheus.NewRegistry()
err := reg.Register(NewSLACollector(e.SLALastRunFile))
if err != nil { return err }
handler := promhttp.HandlerFor(reg, promhttp.HandlerOpts{})
listener, err := net.Listen("tcp", e.SLAAddr)
if err != nil { return err }
go http.Serve(listener, handler)
return nil
}
| ??? | ||
a bunch of Prometheus servers on management droplets
configured using a Git repository and some Go code
services:
# eng-platcore
- luca-kubernetes-alerts
- luca-kubernetes-apiservers
- luca-kubernetes-kubelet
- luca-kubernetes-nodes
- luca-kubernetes-pods
- luca-kubernetes-service-endpoints
SLM: E
Efficient distribution/consumption of global data, including:
Service Level Management (SLM)
ET
SLM: ET
+
SLM: ET
+
SLM: ET
+ +
Service Level Management (SLM)
ETL
SLM: ETL
+ +
Service Level Management (SLM)
ETLE
SLM: ETLE
massively parallel, cross-catalog query engine
schema metadata
data warehouse
Service Level Management (SLM)
HV Droplet Availability:
an SLO Pipeline example
SLM: hvdroplet availability
enum virDomainState {
VIR_DOMAIN_NOSTATE = 0
VIR_DOMAIN_RUNNING = 1
VIR_DOMAIN_BLOCKED = 2
VIR_DOMAIN_PAUSED = 3
VIR_DOMAIN_SHUTDOWN = 4
VIR_DOMAIN_SHUTOFF = 5
VIR_DOMAIN_CRASHED = 6
VIR_DOMAIN_PMSUSPENDED = 7
}
SLM: hvdroplet availability
+ + + + + + +
SLM: A Recap
Next Steps in Observability Applications
Next Steps
SLM v2
batch streaming
Some final thoughts


I like baseball.
The New York Mets are a Major League Baseball team based in the New York City borough of Queens. The Mets compete in Major League Baseball as a member of the National League East division.


Joined University at Buffalo for my Masters in Computer Science and Engineering. Courses Taken: Database Systems, Data Mining, Big Data, Machine Learning, Algorithms, Modern Networking Concepts, Computer Architecture, Computer Security, Software Engineering, Rigorous Software development, .
Started my career in Infosys Technologies as a .Net web Application Developer. Worked for three years in Reserach and Development in Asp.net, C#, javascript. Certified Microsoft .Net Framework 4 Web Application Developer.
Graduated Bachelor of Engineering in Electronics and Communication with First class distinction.


AlphaStone
Alphastone is a reinforcement learning bot I coded for the trading-card video game Hearthstone. It plays games against itself to train, and uses a Deep Residual Neural Network coupled with Information Set Monte Carlo Tree Search to make decisions. This page briefly describes how Alphastone works, along with some of the challenges I had while developing it.
At the end of my junior year, as I was wrapping up the online deep learning course at fast.ai, I heard about Google’s AlphaZero: an AI that learned to play the board game Go completely on its own and proceeded to beat the world’s top player. I was fascinated and wanted to learn more about it, since it was video game bots that got me interested with AI in the first place.
My only previous experience with python (and coding in general) was through the online course, but since I learn best through doing, I decided to dive in and implement AlphaZero on my own. However, I knew next to nothing about Go, so I decided to apply the same algorithm to something I played a lot back then: the video game Hearthstone.
In Hearthstone, each player has a 30-card deck. Players can summon up to 7 "monsters" at a time and play spells that affect the state of the game. Each player has 30 health points, and in order to win you must attack the opponent with your monsters until their health reaches 0.
Overview
The AlphaZero algorithm has 3 main steps:
- Make the bot play hundreds of games against itself and store the game histories as examples. (Decisions are made with a neural network and an algorithm called MCTS, which simulates and explores future states of the game)
- A neural network is then trained on the set of examples from step 1 to correctly predict the outcome of the game and the best possible actions from current state.
- This new neural net plays a hundred games against the old neural net, and if it wins 60% of the time it is declared the new best player, otherwise the old player is kept. Then the process repeats.
I’ve written a more in-depth explanation about the steps below.
Action Representation:
Originally, I didn't know how to make the neural network’s output encompass all possible actions, since I thought there were too many combinations. After reading the AlphaZero paper more closely, I realized that I could model all actions on a 2-dimensional matrix, where one axis is possible actions and the other is possible targets for each action. This led to a 21x18 output that encompasses all possible actions.
Deep Residual Neural Network:
I used the PyTorch deep learning library for this project. The neural network is essentially a downscaled version of the one Google used for AlphaZero. It consists of many residual layers and splits off into two fully connected “heads”, one which outputs a probability distribution over all actions (21x18), and another which outputs a winning likelihood value for the current state (1 if winning and -1 if losing) for use in MCTS. The input is a set of information about the current game.
Since the online courses I took always gave us neural net architectures, I never had to develop one on my own, and I didn't understand how to construct one with PyTorch. It took me a while to understand how convolution sizes were calculated and how to go from a convolutional layer to a fully connected one. After a bit of trial and error and playing with the network sizes, I learned how to use PyTorch and got a functional network.
Information Set Monte Carlo Tree Search:
To increase the likelihood that actions taken lead to winning the game, Alphastone also uses Monte Carlo Tree Search. MCTS simulates the playout of the game and updates the sequence of moves taken with the result of that playout. Alphastone then takes the move that is most simulated to get closer to winning. At each new state, the neural network is called to give action probabilities and state values, which speed up the search.
Hearthstone is an imperfect information game, where some information is always hidden. As a result, I had to do research into a variation of MCTS, called ISMCTS or Information Set Monte Carlo Tree Search. This algorithm takes all hidden information and randomizes it before every new search so it remains hidden, and then MCTS is called on a set of information about the state. I had to delve into the Hearthstone simulator's source code to find out how decks and hands were stored so I could randomize them.
Self-Play:
To train the neural network, Alphastone plays hundreds of games against itself, stores the history, and trains its neural network from these examples. This new neural network is pitted against the old one, and if it wins 60% of the time, we discard the old one; otherwise, we keep the old one and the process repeats.
Experiments:
After over two months of consistent work on the project (and about 4 months overall), I was finally able to train and play against the AI. Over the course of the project I was met with over 100 code errors, everything from indentation errors to maximum recursion depth exceeded.
I trained Alphastone for various lengths of time and with different hyper-parameters over the course of 2 weeks, but my best model came from just 3 days of training. I made a quick text-based function to allow for play against the trained models, and to my surprise it almost beat me during one of the games! Granted, my luck in that match was terrible, but it was still impressive.
If you would like to see more, you can check out the github repository below!
sirmammingtonham/alphastone


stupid puppet tricks
mirroring yum repositories
scott merrill
about me
automate all the things!
puppet, red hat, apache, ruby
the problem
we want a local yum mirror
devil's in the details
- multiple repositories
- no EPEL dependency
- a web server
- maintainability
- reproducability
cool, but . . .
- too manual
- hard to repeat
break it down
- smallest logical unit
- focus on reusability
- what about locally-populated repos?
reposync
- puppet defined type
- parameters control options
- instantiate as needed
/usr/bin/reposync
from yum-utils package
- mirrors remote repo to local directory
define
define reposync (
$path = "/var/yumrepos/${name}",
$owner = root,
$group = root,
$cache = "/var/cache/reposync/${name}",
$comps = true,
$gpg = true,
$newest = false,
$plugins = true,
$source = false,
$hour = 5,
$minute = 10,
)
{
instantiate
reposync { 'rhel-6-server':
path => '/pub/repos/rhel6',
source => true,
hour => 4,
}
look! a cron job
$cmd = "/usr/bin/reposync -r ${name} -p ${path} -e ${cache} -q"
$args = "${_comps} ${_plugins} ${_gpg} ${_newest} ${_source}"
cron { "reposync-${name}":
ensure => present,
command => "${cmd} ${args}",
hour => $hour,
minute => $minute,
user => $owner,
}
creatrepo
- puppet defined type
- parameters control options
- instantiate as needed
/usr/bin/createrepo
from createrepo package
- creates repo metadata
define
define createrepo (
$path = "/var/repo/${name}",
$cache = "/var/cache/createrepo/${name}",
$owner = root,
$group = root,
$workers = $::processorcount,
$hour = 6,
$minute = 15,
) {
instantiate
createrepo { 'rhel-6-server':
hour => 2,
}
another cron job!
$cmd = '/usr/bin/createrepo'
$args = "-q -c ${cache} --simple-md-filenames --deltas --workers ${workers}"
cron { "update-createrepo-${name}":
command => "${cmd} ${args} --update ${path}",
user => $owner,
hour => $hour,
minute => $minute,
}
web server
apache::vhost { $::fqdn:
access_log_file => "${::fqdn}.log",
docroot => '/pub/repos',
servername => $::fqdn,
}
or nginx. . .
rock and roll
as many mirrors as we want!
reposync { 'rhel-6-server':
path => '/pub/repos/rhel6',
source => true,
hour => 4,
minute => 15,
}
createrepo { 'rhel-6-server':
hour => 4,
minute => 30,
}
. . . just copy and paste . . .
. . .and manually change some values . . .
shortcomings
- lots of redundancy
- lots of fiddling
- hard to integrate with hiera
- not very puppet-y
more puppet-y
- combine reposync and createrepo
- forget locally-populated repos
- more hiera friendly
repomirror
define repomirror (
$path = "/var/repomirror/${name}",
$owner = root,
$group = root,
$cache = "/var/cache/repomirror/${name}",
$arch = $::architecture,
$comps = true,
$delete = false,
$gpg = true,
$newest = false,
$norepopath = false,
$plugins = true,
$source = false,
$workers = $::processorcount,
$hour = 5,
$minute = 10,
) {
one big cron job
$r_cmd = "/usr/bin/reposync -r ${name} -p ${path} -e ${cache} -q"
$r_args = "-a ${arch} ${_comps} ${_delete} ${_gpg} ${_newest} ${_norepo} ${_plugins} ${_source}"
$c_cmd = '/usr/bin/createrepo'
$c_args = "-q -c ${cache} --simple-md-filenames --deltas --workers ${workers}"
cron { "repomirror-${name}":
ensure => present,
command => "${r_cmd} ${r_args} && ${c_cmd} ${c_args} --update ${path}",
hour => $hour,
minute => $minute,
user => $owner,
}
hiera
class yum_mirror ( $repos ) {
validate_hash( $repos )
create_resources( repomirror, $repos )
}
---
yum_mirror::repos:
base:
path: /pub/repos/centos6
hour: 5
minute: 15
extras:
path: /pub/repos/centos6-extras
hour: 5
minute: 30


The .each method allows you to perform operations on a collection of objects like an array or a hash. Here is an example:
array = ["dog", "cat", "hampster"]
array.each{ |animal| puts animal.upcase}
# => will print:
# => DOG
# => CAT
# => HAMPSTER
However if you were to change your code a little so that you have:
array = ["dog", "cat", "hampster"]
array.each{ |animal| animal.upcase}
puts array
You might think that you would get:
# => (at least I thought it would print:)
# => DOG
# => CAT
# => HAMPSTER
But in fact it will print the original array that you started with.
array = ["dog", "cat", "hampster"]
array.each{ |animal| animal.upcase}
puts array
# => will print:
# => dog
# => cat
# => hampster
In the above Enumerable#each example, you are telling it: "do the thing that makes stuff uppercase to each item of the array". But then after each time it performs that task, it just moves on to the next element in the array, without actually doing anything with that last item that was just upcased.
So if you want to actually transform your original array as you perform each item in the original operation, you can use Enumerable#each_index.
What goes into the block of each_index is different from what goes into each, so look closely at the example below and see how both the inputs and outputs are different.
array = ["dog", "cat", "hampster"]
array.each_index{ |x| array[x]=array[x].upcase}
# => will print:
# => DOG
# => CAT
# => HAMPSTER
With .each_index, you are using an index that will correspond to the numbered index of the array. Rather than just cycling through each item one by one as they come in order (as we did in the .each example), we are calling on each item in the array by number.
Furthermore, with .each_index, you are actually reassigning what each item in the array equals to the new upcased value.
Thanks for stopping by. I hope this cleared things up for you as much as it did for me!


Once a day, you’ll share one or more of your beauty moments and this will be dedicated to a cause you think is most important!
How would that work?The app is available for iOS and Android
Sign-up in our app, so you can be part of this change!
Although you may not think so, everyday can be beautiful.
Each beauty moment will be dedicated to a cause! The cause with biggest hits, receives our special helping hand :)


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STEPS TO CERTIFICATION
1 ) SIGN UP FOR ONLINE COURSE
Sign up and gain access to the online exam study course which includes five interactive modules, five review slide presentations and a 100-item practice exam.
2 ) REQUEST THE EXAM
When you have completed the study course and scored high on the practice exam, choose a testing site (community college or private learning center) convenient to your location. Submit the REQUEST EXAM FORM with payment and receive your Exam Ticket by email. You may then schedule the exam with the proctor indicated in the form.
3 ) PASS THE EXAM
On the day of the exam, present your Exam Ticket Number and Photo ID to the proctor. Typically, there will be a nominal fee for proctoring at the testing site. You will have up to two hours to complete the 100item multiplechoice exam. Score 70% or higher to pass.
You may email your questions and comments to<EMAIL_ADDRESS>or call us between 9:00A.M. and 6:00 P.M. EST at: (202) 480-9ACE
For all technical support, please fill out the form on the Contact Us page or email us directly at: support@acecertificate.com


iStudy
iStudy is a flash card app brought to you by Syracuse University students, Raul Chacon and Aditya Patil. This app gives users the ability to create custom flash cards organized by custom subjects.


Returns the current autocomplete object.
Returns the set autocomplete category field navigationId.
Returns the current values for the autocomplete category field.
Returns the current autocomplete navigations.
Returns the currently typed in autocomplete query.
Returns the current autocomplete suggestions.
Returns the available navigations.
Returns the available navigations.
Returns the current selected collection.
Returns the index of the given collection.
Returns the collections object.
Returns the current session config
Returns the corrected query if it exists, otherwise returns the original query.
Returns the name of the default collection
Returns details siteParams.
Returns the didYouMean array
Returns the requested fields.
Helper function to display record count limited by the max records we can return from the database.
Helper function to get selected navigations from an array of navigations.
Returns true if the navigation based on the given navigationId has more refinements.
Returns the current infinite scroll object.
Returns the full isFetching
object.
If called with a value
parameter, returns a boolean value indicating the
current fetching state.
Accepted values conform to the Store.IsFetching properties.
Finds the past purchase refinement based on the given navigationId and index and returns true if it is not selected, false otherwise.
Finds the past purchase refinement based on the given navigationId and index and returns true if it is selected, false otherwise.
Finds the refinement based on the given navigationId and index and returns true if it is not selected, false otherwise.
Finds the refinement based on the given navigationId and index and returns true if it is selected, false otherwise.
Returns the current session location.
Returns the navigation object for the given navigationId.
Returns the navigation sort.
Returns the navigations.
Returns the navigations object.
Returns the current page number.
Returns the current selected page size.
Returns the index of the selected page size.
Returns the page sizes object.
Returns the past purchase record count
Returns the past purchase navigation object for the given navigationId.
Returns the past purchase navigations.
Returns the past purchase navigations object.
Returns the past purchase page number
Returns the current selected page size.
Returns the index of the selected page size.
Returns the page sizes object.
Returns the past purchase product data
Returns the SKUs of previously purchased products.
Returns the current products extended with metadata
Returns the past purchase query string
Returns all selected refinements for the past purchase page
Returns pastPurchases siteParams
Returns the sort list for past purchases
Returns the currently selected sort for past purchases
Returns the last page index, ie number of pages
Returns all the past purchase skus
Returns a boolean indicating whether products are loaded
Returns the current products extended with metadata
Returns products with past purchases metadata.
Store state.
Returns the current original query.
Returns the maximum value for the given range navigation.
Returns the minimum value for the given range navigation.
Returns whether or not biasing has been rehydrated from localstorage
Returns the current record count.
Returns the refinement object for the given navigationId and index.
Returns the related queries array
Returns the route.
Returns the past purchases for the sayt window
Returns the current selected refinements.
Returns the request skip needed for the current page and given page size.
Returns the index of the current selected sort.
Returns the sorts object.
Returns the last page index, ie number of pages
Returns the ui state for the tag with the given tagName and id.
Returns the ui state for the all of the tags with the given tagName.
Returns the url.
Returns the url request.
Generated using TypeDoc
Returns the applied area.


Training
Mined Minds Foundation
overview
Mined Minds Foundation is a 501(c)(3) non-profit, building a supply of talented technology professionals by providing computer programming training to local residents that would like to start a career within software development. We offer the training at no cost to qualifying individuals.
We focus on teaching the fundamentals of computer programming, so that participants can can gain the skills that they require to start a career in the ever-changing and highly paid software industry. As well as technical skills, we develop attendees professional skills, and provide advice and contacts for securing their first job in the industry. There may also be opportunities for graduates from the course to take a position working directly with us in Greene County, PA - many already have!
goals of the training
After successfully completing the Mined Minds training course, attendees will have the skills that they require to start a career in the ever-expanding and highly paid software industry. As well as technical skills, we will help develop professional skills, and provide advice and contacts for securing a first job in the industry.
Our goal is to teach programming fundementals and an adaptable approach to learning, so that students can continue to learn and succeed in the ever changing programming ecosystem. Primarily, we use the Ruby programming language for the course, because it is flexible for working in multiple programming styles and teaching varied concepts, whilst being easy to learn and widely used in industry. We also cover HTML, CSS, and JavaScript. The concepts and skills that the students learn will allow them to have the flexibility of working in multiple languages and frameworks, and so be able to meet the varied demands of software development work.
A successful career in programming requires a continual learning approach. This course gives the foundations upon which a new career can be built. Many of the graduates from our course have found paid employment directly with us, and we will help all graduates that are passionate about working in the technology industry to start their new career.
entry requirements
There are no formal educational requirements to join a course. The training is provided to qualifying participants for free, and at a low cost for others. Indeed, we believe that the industry benefits from a diverse range of backgrounds, and we have seen how this is also of benefit for the overall learning within our training program, since students learn different approaches and ways of thinking from each other.
What is required is a logical mind, a passion for learning, and lots of curiosity and determination. The course is not designed to be easy - it is designed to prepare you to start a new career.
If you are interested in joining a class, then be prepared to convince us that you have the passion and drive to succeed. You may like to look at Learning To Code with Audible Programming and Learning Ruby the Hard Way.
next courses
Charleston, WV. We will be starting a 4-month computer-coding bootcamp in South Charleston, West Virginia, on Tuesday, August 16th. The course will involve on-site training every Tuesday at BridgeValley Community and Technical College, with remote work throughout the rest of the week.
Please contact us for more information and to arrange a phone conversation to determine suitability.
Waynesburg, PA. On October 8th we intend to start another part-time course. The part-time courses run for 6-7 months, and are intended for people who are wanting to change career but aren't able to study full-time. On-site training occurs every other weekend, and one evening per week. Students who successfully complete the course spend at least 25 hours per week studying, both individually and in groups.
Please contact us to express an interest, detailing why a part-time course is of interest to you. We will be in contact to arrange a phone conversation to determine suitability shortly.
Waynesburg, PA. In October we will start another 4-month computer-coding bootcamp in partnership with Community College of Allegheny County. Expect to commit a minimum of 40 hours per week to study. This course is ideal for anyone passionate about making an immediate career change. Please contact us to express an interest, and we will be in touch with details shortly.
support
Mined Minds Foundation is a 501(c)(3) non-profit, bringing software development education, training, and job placement services to coal towns of Pennslyvania and West Virginia. Please consider supporting our work so that we can bring new career opportunities to more people in need.


History
2011 - 2017
This website from 2011 until 2017.
Kartpokal Franken
Was a regional indoor go-kart championship for everyone. I raced in the team "KRC Schwabach".
Annual git Reports
Since I've been using git. Professional and personal projects combined. Generated with this script.