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, Source Upon reaching the milestone of (weehee!), here's a brand new set of GIFs that might come in handy for updating your social distancing life on Snapchat or Instagram 😘 4 million views #RemoteWork QUARANTINE & CHILL . Source #WFH - WORK FROM HOME . Source STAY (THE F*CK) HOME . Source More stories on the coronavirus at https://hackernoon.com/tagged/coronavirus More awesome GIFs at https://giphy.com/hackernoon Again, stay safe and sound, and socially distant Designed by Kien Dao

#REMOTEWORK, A PIXELATED SET

( ) Source To solve a problem, you first need to understand the problem. Problems exist within systems. So, to understand the problem, you need to understand the system. By systems I mean . They are the most interesting kind, and difficult to deal with. complex adaptive systems Complex, because removing a part destroys the system. Each part is interdependent on other parts. Like removing a heart from the human body. Adaptive, because each part reacts to what the other parts do. Like the heart pumping faster when artery blockages develop. Treating complex systems like a black-box, where you figure out the problem by trying solutions is a terrible idea. Imagine going to a doctor and without listening to you, the doctor gives you aspirin. Do you feel better? No? Then paracetamol. Still no? An antacid. Still no? .. Sigh, okay, tell me what’s wrong? But that’s how we solve most surface problems. And in simple systems, it usually works. The key is, can you distinguish between simple and complex systems? If you don’t know what to call it, you can’t distinguish it. [1] An alternative is white-box thinking. Here, we dissect the system, get into its internals and figure out why things weren’t working, or how the system works. I think there are at least two ways to figure out a system. Simulate the systemExperiment with the system Simulation Simulation is either computational or thought based. One is running a computer simulation, the other is running a thought experiment. In both cases, what you get are insights into how the system works. They go hand in hand. Both need a basic understanding of how things will work — without an existing model, you can’t simulate. These methods are also used to refine your model. For example, you start with a barebones model built by experience. Then, . Then, you improve the model based on the difference in results between your model and the world. you run it One pillar example of simulation is done in 1972. It tracks the demise of humans on the current trajectory of consumption and environment degradation. The Limits to Growth Criticized in the beginning, LTG has come to be accepted as the model predicting reality, now that we have 50 years of living the model behind us. Thought experiments Take a hypothesis, theory or a principle. Think through what will happen if it were true. That’s a thought experiment. Consider an example — (1935). It presents a cat that is indeterminately alive or dead, depending on a random . Figuring out if it’s alive or not is dependent on looking in the box. Till that point, it’s both, alive and dead. Schrödinger’s cat quantum event What makes this thought experiment so great is the way it explains quantum theory. Say, instead, you had a coin inside the box. You can toss this coin by pressing a button outside the box. If it’s heads, the cat will die. Tails, and it lives. With every button press, the probability to live decreases, but at no point is that cat both alive and dead. Is your mind blowing to pieces yet? (ANDRZEJ WOJCICKI/ Science Photo Library/ Corbis) The process You begin with a set of hypothesis about what would happen. You run through them in your mind There are two things that might happen. You arrive at an outcome different from what you expect You arrive at your version of reality Both cases are a cause for concern. You confirm that’s what would happen in the real world, via experience If your model is close enough to the real world, profit. else you refine your hypothesis and restart. Experimentation Here, we enter the territory of real world experiments with real world consequences that might change the state of the system. You’re perturbing the system to try and figure out what will happen. Thus, you want to experiment with small changes first. [2] Want universal basic income? Try experimenting in a few cities first. it’s A/B testing on whatever scale works. The only caveat: things break when you scale up. Experimentation with system is needed when your imagination can’t keep up with what you’re seeing. This usually happens in complex systems. There are too many variables — you don’t know half of them, and you can’t keep the other half in your brain. [3] The main aim, using the above approaches is to build an accurate-enough model. One that behaves the same way the system behaves, given the same input. Input → System → Output Input → Model → Output Fair warning though, knowing this model isn’t the same as controlling the system. That’s the — to control a system, you need a controller at least as complex as the system. Law of Requisite Variety are an excellent tool to build this model. Sometimes sketching things out, looking at it all together helps see the relationships. That’s what BOTDs are for. Behaviour over time diagrams Questions to answer In both approaches, you’re trying to fill in some blanks. Here are some important questions to answer. They exist in every system. If you’re unsure what some of them mean, head over to seeing systems. Find the driving factors What would happen if I do X? Figure out the loop structure If I do more of a driving factor, d , what will happen? Figure out delays in systems How long before the results of changing d occur? Identify the current dominant loop A second from now, towards which driving factor is the system going? System Archetypes Some very common models come into play again and again. If you know these well, the problem switches from trying to figure out what is happening, to which model fits? — This is powerful and dangerous. Dangerous because you get a tendency to beat the current situation into one of these models. Powerful because you don’t have to start from scratch every time. This is how . They are archetypes for life. Mental Models work has an excellent introduction to system archetypes. Wikipedia To dive into available archetypes, The Systems Thinker is an excellent resource. I haven’t explored archetypes enough, yet. What I do know, is that the above archetype list is incomplete. As Charlie Munger found out, sometimes it’s easier to look in an adjacent field than diving deeper in yours. That’s what I’ll do. Into Chemistry — equilibriums. Systems can be thought of as an equilibrium. That’s when we can use results from chemical equilibrium to explain system behaviour. Presenting, . Le Chateliers Principle When a settled system is disturbed, it will adjust to diminish the change that has been made to it. This is precisely what Jay Forrester says happens in social systems. “At any time, a near-equilibrium exists affecting population mobility between different areas of a country. To the extent that there is disequilibrium, it means that some area is slightly more attractive than others and population begins to move in the direction of the more attractive area. Movement continues until rising population drives the more attractive area down in attractiveness to again be in equilibrium with its surroundings. Other things being equal, an increase in population of a city crowds housing, overloads job opportunities, causes congestion, increases pollution, encourages crime, and reduces every component of the quality of life.” — Jay Forrester, Counter intuitive behaviour of social systems [1] Case in point: The Piraha tribe [2] This doesn’t mean the large scale change would mimic the small scale change. Things can go unexpectedly wrong . when you scale up [3] Computer simulations shine on this half. But, still produce crap results because they are just half the variables, and not necessarily the most critical.

A Practical Guide to Understanding Systems

Hey dev community! With the holidays right around the corner, it feels like the perfect time to talk about one of the best gifts we can give our users: an accessible web. Here at TestZeus, we’ve been hard at work adding Accessibility Testing to our open-source Hercules Agent—and I’m super excited to share the details with you! Why Accessibility Matters Accessibility is about making sure everyone can use your website or app, regardless of ability. That includes users who rely on screen readers, have motor difficulties, or experience color blindness, among many other scenarios. It’s not just a moral responsibility or a legal checkmark—it’s about crafting better user experiences for everyone. Meet Hercules If you haven’t heard of it yet, Hercules is our open-source testing agent that automates various aspects of software testing. By adding Accessibility Testing, we aim to reduce the friction developers often face when trying to meet WCAG (Web Content Accessibility Guidelines). Some highlights: Covers WCAG 2.0, 2.1, and 2.2
Costs less than $1 per scan (so, super accessible for smaller teams too!)
Open-source and easy to integrate into your CI/CD pipeline In other words, we’re focusing on practicality and affordability, so you don’t need a huge budget or specialized skillset to make your site more inclusive. Quick Setup Clone the Repo

Head over to our GitHub repo and clone it.


Install Dependencies

A quick 'pip install testzeus-hercules'


Write Your Test in Gherkin

Hercules uses Gherkin-like .feature files. It’s straightforward and keeps the logic clear.


Run Hercules

A single command to scan for accessibility issues. Reports are automatically generated, so you can jump right into fixing any violations. Sample Test Scenario We’ve included a snippet below to show how a typical .featurefile might look, using the Zerodha brokerage calculator page as an example: Feature: Check accessibility for brokerage calculator on Zerodha website
  # This feature tests the brokerage calculator, and contract notes on Zerodha website

  Scenario Outline: Check calculations on brokerage and SEBI charges
    Given the user is on "https://zerodha.com/brokerage-calculator#tab-equities"
    Then validate the page for accessibility.
    Then there should not be any issues. Here’s the breakdown: Feature: Provides context—testing Zerodha’s brokerage calculator.
Scenario Outline: Explains the specific scenario.
Steps:

Given: Navigate to a specific URL.
Then: Validate accessibility.
Then: Ensure zero issues remain (fingers crossed!). Hercules interprets this scenario, visits the page, scans it, and flags any WCAG non-compliances. Viewing Your Results Once your tests complete, Hercules shows you a report detailing any accessibility issues found: Issue Description: A quick summary of the violation.
WCAG Reference: Which guideline is being broken.
Severity: Ranges from minor to critical.
Location: Points you to the exact DOM element or area in the UI. This immediate feedback loop makes it easy for devs to fix issues before they reach production. Integrating with CI/CD Because Hercules is open-source and script-friendly, you can plug it into your CI pipeline. For example, in GitHub Actions, you can create a workflow that runs Hercules every time you push new code. That way, you’ll catch accessibility regressions early in the development process. Going Beyond Automated Checks While Hercules does a fantastic job with automated scans, keep in mind that accessibility is a multifaceted area. You might still want to: Test with screen readers like NVDA or VoiceOver.
Check color contrasts in real-world scenarios.
Solicit feedback from users with disabilities for real-life insights. Automated testing is a huge help, but manual testing still plays a key role in thorough accessibility coverage. Wrapping Up This holiday season, consider giving the gift of an accessible experience to your users. With Hercules, you can weave accessibility checks right into your development cycle—reducing barriers and making the web a more inclusive place. Here are some helpful links: Repo: TestZeus Hercules GitHub
Latest Release: Version 0.0.16
Demo Video: Check it out on YouTube If you have any questions, feedback, or ideas for improvement, we’d love to hear from you! Let’s work together to make the internet more welcoming for all. Happy Holidays and Happy Testing! Hey dev community! With the holidays right around the corner, it feels like the perfect time to talk about one of the best gifts we can give our users: an accessible web . Here at TestZeus, we’ve been hard at work adding Accessibility Testing to our open-source Hercules Agent —and I’m super excited to share the details with you! an accessible web Accessibility Testing Hercules Agent Why Accessibility Matters Accessibility is about making sure everyone can use your website or app, regardless of ability. That includes users who rely on screen readers, have motor difficulties, or experience color blindness, among many other scenarios. It’s not just a moral responsibility or a legal checkmark—it’s about crafting better user experiences for everyone. Meet Hercules If you haven’t heard of it yet, Hercules is our open-source testing agent that automates various aspects of software testing. By adding Accessibility Testing , we aim to reduce the friction developers often face when trying to meet WCAG (Web Content Accessibility Guidelines) . Some highlights: Hercules Accessibility Testing WCAG (Web Content Accessibility Guidelines) Covers WCAG 2.0, 2.1, and 2.2 Costs less than $1 per scan (so, super accessible for smaller teams too!) Open-source and easy to integrate into your CI/CD pipeline Covers WCAG 2.0, 2.1, and 2.2 Covers WCAG 2.0, 2.1, and 2.2 Costs less than $1 per scan (so, super accessible for smaller teams too!) Costs less than $1 per scan Open-source and easy to integrate into your CI/CD pipeline Open-source In other words, we’re focusing on practicality and affordability, so you don’t need a huge budget or specialized skillset to make your site more inclusive. Quick Setup Clone the Repo

Head over to our GitHub repo and clone it. Install Dependencies

A quick 'pip install testzeus-hercules' Write Your Test in Gherkin

Hercules uses Gherkin-like .feature files. It’s straightforward and keeps the logic clear. Run Hercules

A single command to scan for accessibility issues. Reports are automatically generated, so you can jump right into fixing any violations. Clone the Repo Head over to our GitHub repo and clone it. Clone the Repo Head over to our GitHub repo and clone it. Head over to our GitHub repo and clone it. GitHub repo GitHub repo Install Dependencies A quick 'pip install testzeus-hercules' Install Dependencies A quick 'pip install testzeus-hercules' A quick 'pip install testzeus-hercules' Write Your Test in Gherkin Hercules uses Gherkin-like .feature files. It’s straightforward and keeps the logic clear. Write Your Test in Gherkin Hercules uses Gherkin-like .feature files. It’s straightforward and keeps the logic clear. Hercules uses Gherkin-like .feature files. It’s straightforward and keeps the logic clear. .feature Run Hercules A single command to scan for accessibility issues. Reports are automatically generated, so you can jump right into fixing any violations. Run Hercules A single command to scan for accessibility issues. Reports are automatically generated, so you can jump right into fixing any violations. A single command to scan for accessibility issues. Reports are automatically generated, so you can jump right into fixing any violations. Sample Test Scenario We’ve included a snippet below to show how a typical .feature file might look, using the Zerodha brokerage calculator page as an example: .feature Feature: Check accessibility for brokerage calculator on Zerodha website
  # This feature tests the brokerage calculator, and contract notes on Zerodha website

  Scenario Outline: Check calculations on brokerage and SEBI charges
    Given the user is on "https://zerodha.com/brokerage-calculator#tab-equities"
    Then validate the page for accessibility.
    Then there should not be any issues. Feature: Check accessibility for brokerage calculator on Zerodha website
  # This feature tests the brokerage calculator, and contract notes on Zerodha website

  Scenario Outline: Check calculations on brokerage and SEBI charges
    Given the user is on "https://zerodha.com/brokerage-calculator#tab-equities"
    Then validate the page for accessibility.
    Then there should not be any issues. Here’s the breakdown: Feature: Provides context—testing Zerodha’s brokerage calculator. Scenario Outline: Explains the specific scenario. Steps:

Given: Navigate to a specific URL.
Then: Validate accessibility.
Then: Ensure zero issues remain (fingers crossed!). Feature : Provides context—testing Zerodha’s brokerage calculator. Feature Scenario Outline : Explains the specific scenario. Scenario Outline Steps : Given: Navigate to a specific URL.
Then: Validate accessibility.
Then: Ensure zero issues remain (fingers crossed!). Steps Given: Navigate to a specific URL. Then: Validate accessibility. Then: Ensure zero issues remain (fingers crossed!). Given : Navigate to a specific URL. Given Then : Validate accessibility. Then Then : Ensure zero issues remain (fingers crossed!). Then Hercules interprets this scenario, visits the page, scans it, and flags any WCAG non-compliances. Viewing Your Results Once your tests complete, Hercules shows you a report detailing any accessibility issues found: Issue Description: A quick summary of the violation. WCAG Reference: Which guideline is being broken. Severity: Ranges from minor to critical. Location: Points you to the exact DOM element or area in the UI. Issue Description : A quick summary of the violation. Issue Description WCAG Reference : Which guideline is being broken. WCAG Reference Severity : Ranges from minor to critical. Severity Location : Points you to the exact DOM element or area in the UI. Location This immediate feedback loop makes it easy for devs to fix issues before they reach production. Integrating with CI/CD Because Hercules is open-source and script-friendly, you can plug it into your CI pipeline. For example, in GitHub Actions, you can create a workflow that runs Hercules every time you push new code. That way, you’ll catch accessibility regressions early in the development process. Going Beyond Automated Checks While Hercules does a fantastic job with automated scans, keep in mind that accessibility is a multifaceted area. You might still want to: Test with screen readers like NVDA or VoiceOver. Check color contrasts in real-world scenarios. Solicit feedback from users with disabilities for real-life insights. Test with screen readers like NVDA or VoiceOver. Test with screen readers Check color contrasts in real-world scenarios. Check color contrasts Solicit feedback from users with disabilities for real-life insights. Solicit feedback from users with disabilities Automated testing is a huge help, but manual testing still plays a key role in thorough accessibility coverage. Wrapping Up This holiday season, consider giving the gift of an accessible experience to your users. With Hercules, you can weave accessibility checks right into your development cycle—reducing barriers and making the web a more inclusive place. Here are some helpful links: Repo: TestZeus Hercules GitHub Latest Release: Version 0.0.16 Demo Video: Check it out on YouTube Repo : TestZeus Hercules GitHub Repo TestZeus Hercules GitHub TestZeus Hercules GitHub Latest Release : Version 0.0.16 Latest Release Version 0.0.16 Version 0.0.16 Demo Video : Check it out on YouTube Demo Video Check it out on YouTube Check it out on YouTube If you have any questions, feedback, or ideas for improvement, we’d love to hear from you! Let’s work together to make the internet more welcoming for all. Happy Holidays and Happy Testing! Happy Holidays and Happy Testing!

Making the Web More Inclusive: Accessibility Testing with open source testing agents

New Open-Source Platform Is Letting AI Researchers Crack Tough Languages

The TechBeat: How I Made $700 a Month With My Open-source Scheduling Tool (12/28/2024)

Stand Out From Other Developers By Contributing to Open Source

التميز عن المطورين الآخرين من خلال المساهمة في المصدر المفتوح

Destaque entre otros desarrolladores contribuyendo al código abierto

Istaknite se od drugih programera doprinoseći otvorenom kodu

Tűnjön ki a többi fejlesztő közül azáltal, hogy hozzájárul a nyílt forráskódhoz

オープンソースに貢献して他の開発者より目立つ

ឈរចេញពីអ្នកអភិវឌ្ឍន៍ផ្សេងទៀតដោយការរួមចំណែកដល់ប្រភពបើកចំហ

Издвојте се од другите програмери со тоа што придонесувате за софтвер со отворен код

Wyróżnij się spośród innych programistów, przyczyniając się do rozwoju oprogramowania typu Open Source

د خلاصې سرچینې سره د مرستې له لارې د نورو پراختیا کونکو څخه ودریږئ

Ieșiți în evidență față de alți dezvoltatori, contribuind la Open Source

Hagarara Mubandi Bateza Imbere Mugutanga Inkomoko

Stick ut från andra utvecklare genom att bidra till öppen källkod

The TechBeat: How I Made $700 a Month With My Open-source Scheduling Tool (12/26/2024)

Contributing to open source has always seemed like an intimidating leap. For years, I admired projects like Anastruct, a Python library for preliminary structural analysis, for their power and elegance. Recently, I had the chance to step into this world myself — and to my surprise, my very first pull request was accepted! Here’s the story of how I added a method to retrieve and return the stiffness matrix of a structure, and what I learned along the way. The Idea: Bridging a Gap This journey started while I was helping a student develop Python code for a structural analysis project. The task was to analyze a truss roof resting on retaining walls. The project required determining the displacements of the truss, shear and bending moments in the walls, and lateral loads acting on the structure. The examiner wanted the student to display the stiffness matrix for each element in the structure. While Anastruct already offers powerful features like defining geometry, setting material properties (e.g., EA and EI), and generating displacement, shear, and bending moment plots, it lacked a way to directly view the stiffness matrix of individual elements. This missing functionality inspired me to act. I decided to implement a method that could return the stiffness matrix when provided with an element ID. Taking the Leap: Writing My First Contribution Although I’ve used Anastruct for over three years and admired its utility in preliminary analysis and validation tasks, contributing to such an established library felt daunting. I wasn’t sure if the maintainers would accept my idea or if my implementation would meet their standards. Despite my hesitation, I toot the next step, that is implementation. The Development Process Research and Implementation: I started by diving deep into Anastruct’s codebase to understand its structure. The method I wrote leveraged existing geometry and material property definitions in the library to access and return the stiffness matrix for a given element ID.
Testing: I tested my code on a variety of truss structures to ensure accuracy. The matrix output aligned with theoretical calculations, confirming that my method worked as intended.
Submitting the Pull Request: Crafting the pull request was nerve-wracking. I described the problem, the feature, and its implementation, and pushed it to GitHub, hoping for the best. Feedback and Iteration To my delight, one of the maintainers responded within a few days. They appreciated the value of my contribution but flagged some issues, including linting errors and type mismatches. I took their feedback seriously, quickly making the necessary corrections. The Merge Moment Two weeks later, I received the news: my pull request had been merged! The joy of seeing my code become part of a library used by engineers worldwide was indescribable. What began as a way to help a student turned into a meaningful open-source contribution. Impact and Lessons Learned Impact on Anastruct: The stiffness matrix functionality I added makes Anastruct even more versatile, allowing users to gain deeper insights into their structural models.
Personal Growth: This experience taught me the importance of perseverance, attention to detail, and collaboration. It also boosted my confidence to contribute to other open-source projects. Advice for Aspiring Contributors Start Small: Begin with a feature or fix that aligns with your skills.
Read the Docs: Familiarize yourself with the project’s contribution guidelines.
Seek Feedback: Maintain an open mind and learn from reviewers. Conclusion Contributing to Anastruct not only helped me grow as a developer but also allowed me to give back to a project I’ve relied on for years. If you’ve ever considered contributing to open source, don’t let doubt hold you back. Your ideas and skills might be exactly what a project needs. Contributing to open source has always seemed like an intimidating leap. For years, I admired projects like Anastruct , a Python library for preliminary structural analysis, for their power and elegance. Recently, I had the chance to step into this world myself — and to my surprise, my very first pull request was accepted! Here’s the story of how I added a method to retrieve and return the stiffness matrix of a structure, and what I learned along the way. Anastruct The Idea: Bridging a Gap This journey started while I was helping a student develop Python code for a structural analysis project. The task was to analyze a truss roof resting on retaining walls. The project required determining the displacements of the truss, shear and bending moments in the walls, and lateral loads acting on the structure. The examiner wanted the student to display the stiffness matrix for each element in the structure. While Anastruct already offers powerful features like defining geometry, setting material properties (e.g., EA and EI), and generating displacement, shear, and bending moment plots, it lacked a way to directly view the stiffness matrix of individual elements. This missing functionality inspired me to act. I decided to implement a method that could return the stiffness matrix when provided with an element ID. Anastruct Taking the Leap: Writing My First Contribution Although I’ve used Anastruct for over three years and admired its utility in preliminary analysis and validation tasks, contributing to such an established library felt daunting. I wasn’t sure if the maintainers would accept my idea or if my implementation would meet their standards. Despite my hesitation, I toot the next step, that is implementation. Anastruct The Development Process Research and Implementation: I started by diving deep into Anastruct’s codebase to understand its structure. The method I wrote leveraged existing geometry and material property definitions in the library to access and return the stiffness matrix for a given element ID. Testing: I tested my code on a variety of truss structures to ensure accuracy. The matrix output aligned with theoretical calculations, confirming that my method worked as intended. Submitting the Pull Request: Crafting the pull request was nerve-wracking. I described the problem, the feature, and its implementation, and pushed it to GitHub, hoping for the best. Research and Implementation: I started by diving deep into Anastruct’s codebase to understand its structure. The method I wrote leveraged existing geometry and material property definitions in the library to access and return the stiffness matrix for a given element ID. Anastruct’s Testing: I tested my code on a variety of truss structures to ensure accuracy. The matrix output aligned with theoretical calculations, confirming that my method worked as intended. Submitting the Pull Request: Crafting the pull request was nerve-wracking. I described the problem, the feature, and its implementation, and pushed it to GitHub, hoping for the best. Feedback and Iteration To my delight, one of the maintainers responded within a few days. They appreciated the value of my contribution but flagged some issues, including linting errors and type mismatches. I took their feedback seriously, quickly making the necessary corrections. The Merge Moment Two weeks later, I received the news: my pull request had been merged! The joy of seeing my code become part of a library used by engineers worldwide was indescribable. What began as a way to help a student turned into a meaningful open-source contribution. Impact and Lessons Learned Impact on Anastruct: The stiffness matrix functionality I added makes Anastruct even more versatile, allowing users to gain deeper insights into their structural models. Personal Growth: This experience taught me the importance of perseverance, attention to detail, and collaboration. It also boosted my confidence to contribute to other open-source projects. Impact on Anastruct: The stiffness matrix functionality I added makes Anastruct even more versatile, allowing users to gain deeper insights into their structural models. Anastruct Personal Growth: This experience taught me the importance of perseverance, attention to detail, and collaboration. It also boosted my confidence to contribute to other open-source projects. Advice for Aspiring Contributors Start Small: Begin with a feature or fix that aligns with your skills. Read the Docs: Familiarize yourself with the project’s contribution guidelines. Seek Feedback: Maintain an open mind and learn from reviewers. Start Small: Begin with a feature or fix that aligns with your skills. Start Small: Read the Docs: Familiarize yourself with the project’s contribution guidelines. Read the Docs: Seek Feedback: Maintain an open mind and learn from reviewers. Seek Feedback: Conclusion Contributing to Anastruct not only helped me grow as a developer but also allowed me to give back to a project I’ve relied on for years. If you’ve ever considered contributing to open source, don’t let doubt hold you back. Your ideas and skills might be exactly what a project needs. Anastruct

There's No Feeling Like Making Your First Contribution to a Github Open Source Project

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