#api testing guide
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rahulshettyacade · 1 year ago
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sreepadamangaraj · 2 years ago
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Security Knowledge Framework is a tool provided by OWASP. The tool uses the ASVS framework to provide a security checklist to the developers. This tool should also be used and governed by the security professional to train and help developers build secure software by design.
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juniornguessan · 22 hours ago
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Web Designer vs Web Developer : Quelle carrière choisir ?
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Avec l’évolution rapide du numérique, les carrières en conception et développement web restent très demandées. Bien que ces deux professions jouent un rôle clé dans la création de sites modernes, elles impliquent des compétences, des responsabilités et des perspectives différentes. Si vous hésitez entre ces deux parcours, ce guide vous aidera à comprendre les différences en termes de rôles, de potentiel de rémunération et d’opportunités à long terme afin de choisir la carrière qui vous convient le mieux.
Que fait un Web Designer ?
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Responsabilités principales
Un web designer se concentre sur l’apparence, l’ergonomie et l’expérience utilisateur (UX) d’un site web. Ses tâches incluent :
• Créer des mises en page visuellement attrayantes et des wireframes.
• Sélectionner la typographie, les palettes de couleurs et les éléments de branding.
• Concevoir des sites responsifs et adaptés aux mobiles.
• Utiliser des outils comme Adobe XD, Figma et Sketch.
• Collaborer avec les développeurs pour assurer une bonne transition entre le design et le code.
Compétences clés pour un Web Designer
• Connaissance des principes UI/UX et des meilleures pratiques en ergonomie.
• Maîtrise des logiciels de design graphique (Photoshop, Illustrator, Figma).
• Notions de base en HTML & CSS pour le prototypage.
• Compréhension du branding et de la psychologie des couleurs.
Avantages d’être Web Designer
✔️ Travail très créatif avec une grande liberté artistique.
✔️ Moins de programmation que dans le développement web.
✔️ Forte demande pour l’expertise UI/UX.
✔️ Nombreuses opportunités en freelance, notamment sur des plateformes comme Upwork.
Défis du métier de Web Designer
❌ Rémunération souvent inférieure à celle des développeurs.
❌ Nécessité de suivre en permanence les tendances du design.
❌ Certains clients sous-estiment la valeur du design par rapport au développement.
Que fait un Web Developer ?
Responsabilités principales
Un développeur web est chargé de concevoir et maintenir des sites fonctionnels en utilisant des langages de programmation et des frameworks. Ses missions incluent :
• Écrire et corriger du code pour implémenter des fonctionnalités web.
• Optimiser la vitesse, la sécurité et la scalabilité des sites.
• Gérer les systèmes backend, les bases de données et les API.
• Corriger les bugs et améliorer l’expérience utilisateur.
• Travailler aussi bien sur les technologies front-end que back-end.
Les différents types de développeurs web
• Développeur Front-End : Se concentre sur les aspects visuels et interactifs du site (HTML, CSS, JavaScript).
• Développeur Back-End : Gère la programmation côté serveur, les bases de données et les API.
• Développeur Full-Stack : Maîtrise à la fois le front-end et le back-end.
Compétences clés pour un Web Developer
• Maîtrise de HTML, CSS et JavaScript.
• Connaissance de langages de programmation comme PHP, Python, Ruby.
• Familiarité avec des frameworks comme React, Angular, Vue.js.
• Gestion des bases de données (MySQL, MongoDB).
• Compétences en débogage, tests et gestion de versions.
Avantages d’être Web Developer
✔️ Forte rémunération, en particulier pour les développeurs full-stack et back-end.
✔️ Demande croissante avec de nombreuses opportunités d’évolution.
✔️ Possibilité de travailler sur des projets complexes et de grande envergure.
✔️ Opportunités de travail à distance et en freelance.
Défis du métier de Web Developer
❌ Apprentissage continu indispensable en raison des évolutions technologiques rapides.
❌ Travail très technique avec peu d’aspects créatifs.
❌ Peut impliquer de longues heures de débogage et de résolution de problèmes.
Conclusion
En résumé, si vous aimez la créativité et le design, le métier de web designer pourrait vous convenir. Si vous préférez la programmation et la résolution de problèmes techniques, le développement web est une meilleure option. Quelle que soit votre décision, les deux carrières offrent de nombreuses opportunités dans l’univers du numérique !
Je suis hermane junior Nguessan developpeur web &mobile
Liens linkedIn 👉 : https://www.linkedin.com/in/hermane-junior-nguessan-2a9a05324?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app
https://www.linkedin.com/in/hermane-junior-nguessan-2a9a05324?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app
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jbfly46 · 23 days ago
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Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!
Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:
• Save money while keeping everything local and private.
• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.
• Gain total freedom to explore, scrape, and interact with the web like never before.
You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.
In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.
These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.
This is version 3.0 of these instructions January 26th, 2025.
This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.
What You’ll Achieve
By following this guide, you’ll:
1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.
2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.
3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.
A Deep Dive At ReadMultiplex.com Soon
We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.
System Requirements
Hardware
• RAM: 8 GB minimum (16 GB recommended).
• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).
• Storage: 5 GB free space.
• Graphics: GPU optional for faster processing.
Software
• Operating System: macOS, Windows 10+, or Linux.
• Python: Version 3.8 or higher.
• Git: Installed.
Step 1: Get Your Tools Ready
We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.
Install Python
1. Check Python Installation:
• Open your terminal/command prompt and type:
python3 --version
• If Python is installed, you’ll see a version like:
Python 3.9.7
2. If Python Is Not Installed:
• Download Python from python.org.
• During installation, ensure you check “Add Python to PATH” on Windows.
3. Verify Installation:
python3 --version
Install Git
1. Check Git Installation:
• Run:
git --version
• If installed, you’ll see:
git version 2.34.1
2. If Git Is Not Installed:
• Windows: Download Git from git-scm.com and follow the instructions.
• Mac/Linux: Install via terminal:
sudo apt install git -y # For Ubuntu/Debian
brew install git # For macOS
Step 2: Download and Build llama.cpp
We’ll use llama.cpp to run the DeepSeek-R1 model locally.
1. Open your terminal/command prompt.
2. Navigate to a clear location for your project files:
mkdir ~/AI_Project
cd ~/AI_Project
3. Clone the llama.cpp repository:
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
4. Build the project:
• Mac/Linux:
make
• Windows:
• Install a C++ compiler (e.g., MSVC or MinGW).
• Run:
mkdir build
cd build
cmake ..
cmake --build . --config Release
Step 3: Download DeepSeek-R1 8B 4-bit Model
1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.
2. Download the 4-bit quantized model file:
• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.
3. Move the model to your llama.cpp folder:
mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp
Step 4: Start DeepSeek-R1
1. Navigate to your llama.cpp folder:
cd ~/AI_Project/llama.cpp
2. Run the model with a sample prompt:
./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"
3. Expected Output:
The capital of France is Paris.
Step 5: Set Up Browser-Use Web UI
1. Go back to your project folder:
cd ~/AI_Project
2. Clone the Browser-Use repository:
git clone https://github.com/browser-use/browser-use.git
cd browser-use
3. Create a virtual environment:
python3 -m venv env
4. Activate the virtual environment:
• Mac/Linux:
source env/bin/activate
• Windows:
env\Scripts\activate
5. Install dependencies:
pip install -r requirements.txt
6. Start the Web UI:
python examples/gradio_demo.py
7. Open the local URL in your browser:
http://127.0.0.1:7860
Step 6: Configure the Web UI for DeepSeek-R1
1. Go to the Settings panel in the Web UI.
2. Specify the DeepSeek model path:
~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf
3. Adjust Timeout Settings:
• Increase the timeout to 120 seconds for larger models.
4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.
Step 7: Run an Example Task
Let’s create an agent that:
1. Searches for Tesla stock news.
2. Gathers Reddit mentions.
3. Predicts the stock trend.
Example Prompt:
Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.
--
Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀
Stay tuned fora FREE simple to use single app that will do this all and more.
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createncodewebtechnologies · 2 months ago
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B2B ecommerce website development in Indore
B2B eCommerce website development in Indore presents a lucrative opportunity for businesses looking to establish a strong online presence. With its rich talent pool, cost-effective solutions, and innovative approach, Indore has become a preferred destination for digital transformation projects. Online transactions between companies, as opposed to between companies and customers, are referred to as business-to-business (B2B) eCommerce. Strong B2B eCommerce solutions are essential given the growing dependence on digital platforms for supplier relationships, inventory control, and procurement.
The Significance of B2B eCommerce
Streamlined Operations: Efficiency is increased by automating procedures including order placing, tracking, and payment. Global Reach: Companies are able to grow their clientele beyond national borders. Cost Efficiency: By reducing manual intervention, digital systems lower operating expenses. Improved Customer Experience: Self-service portals, bulk ordering, and customized pricing are examples of features that increase consumer pleasure.
Why Indore Is a Center for the Development of B2B eCommerce
Indore has established itself as one of the fastest-growing IT cities in India. Businesses might think about Indore for the creation of B2B eCommerce websites for the following main reasons: Skilled Talent Pool: Indore is home to a sizable population of web developers, designers, and IT specialists that are knowledgeable about cutting-edge technologies. Cost-Effective Solutions: Development services in Indore are exceptional value for money and are less expensive than in major cities. Successful Startup Ecosystem: The dynamic entrepreneurial climate in Indore encourages originality and inventiveness in web development. Robust Infrastructure: The city's cutting-edge IT infrastructure facilitates timely delivery and smooth project execution. Client Proximity: Because of its advantageous location, companies in Central India can work with developers situated in Indore with ease.
How to Create a Business-to-Business eCommerce Website in Indore ?
Building a strong B2B eCommerce platform requires careful preparation and implementation. Here’s a step-by-step guide:
1. Analysis of Requirements
Determine the target market and business goals.
Specify the essential features and integration requirements.
2. Selecting the Appropriate Platform Depending on your needs, choose bespoke development or platforms like Magento or Shopify Plus. 3. Design of UI/UX
Create prototypes and wireframes for approval.
Concentrate on producing a design that is neat, expert, and user-focused.
4. Growth and Assimilation
To create the website, write clear, optimal code.
Increase functionality by integrating third-party tools and APIs.
5. Quality Assurance and Testing
To get rid of bugs, do thorough testing.
Make sure it works on all devices and browsers.
6. Implementation and Upkeep
Use secure servers to launch the website.
Assure seamless operations by providing regular updates and support.
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pickmytrade · 6 months ago
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TradingView to Tradovate Automation: A Quick Guide
Trading in the modern world is increasingly about speed and efficiency, and automation is key to achieving this. If you're using TradingView for charting and analysis and Tradovate as your trading platform, you might be wondering how to connect the two for seamless, automated trading. In this short guide, we'll walk you through the basic steps to automate your trading from TradingView to Tradovate.
Understanding the Platforms
TradingView is a powerful charting platform that offers real-time data and a wide range of tools for technical analysis. It's a favorite among traders for its ease of use and extensive community.
Tradovate is a modern futures trading platform known for its commission-free trading model. It offers powerful tools for futures traders, including advanced charting and algorithmic trading capabilities.
Why Automate Trading Between TradingView and Tradovate?
Automation helps eliminate human error, execute trades faster, and take advantage of trading opportunities without being glued to your screen. By linking TradingView and Tradovate, you can automate your trading strategies, ensuring that trades are executed according to your pre-defined criteria.
Setting Up Automation: Step by Step
Create Your Trading Strategy in TradingView: Start by developing a trading strategy in TradingView using Pine Script. This could be anything from simple moving averages to more complex algorithms.
Integrate with Tradovate Using Webhooks: TradingView allows you to send alerts via webhooks. In your alert setup, you can input the webhook URL provided by Tradovate. This URL triggers the execution of trades based on your TradingView alerts.
Configure Tradovate to Accept Orders: Set up your Tradovate account to accept automated orders. This might involve configuring API settings and ensuring that your account is correctly linked to receive the orders from TradingView.
Test the Setup: Before going live, thoroughly test the automation in a simulated environment. Make sure that your strategy works as intended and that orders are executed correctly.
Conclusion
Automating your trading between TradingView and Tradovate can significantly enhance your trading efficiency and effectiveness. By following the steps outlined above, you can seamlessly integrate these two platforms and start automating your trading strategies today.
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the-eldritch-it-gay · 2 years ago
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how is one supposed to work a 9-5 job with brain fog. i took thursday off because of how bad mentally i was and how foggy i was, but i don't have the pto to take multiple days off so i went to work Friday. and like, i was screensharing with my like, mentor/coworker and they were trying to guide me through API testing and like, i kept forgetting what he said right when he said it, or misunderstanding what he was telling me, and like he would ask me to think out loud and brainstorm ideas for testing this thing and like the words he was saying were barely in my head let alone thoughts of what things i should try to check this API. and like not to mention how slow i was typing and how i kept being way off with where i was supposed to be clicking and kept navigating to the wrong tabs and this was all while screensharing with my coworkers and like i already have a fear that they think I'm incompetent and are babying me. and like i also just am like. why did i major in computers. I'm not using nearly any of that knowledge for work, and its a job that requires using keyboards and doing math and logic things. it feels like i metaphorically would have been just as well majored in like Running, in that at its core i cannot do the key parts that are required. I'm dumb and have horrible brain fog and physical disability that gives me fatigue and difficulty using a keyboard and doing complicated logic things, and i spent 5 years and got 22k in debt majoring in Using Keyboard And Doing Complex Logic.
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interestinginfographics · 7 months ago
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How to Build a Crypto Bot [INFOGRAPHIC]
“How to Build a Crypto Bot,” provides a step-by-step guide to creating your own automated cryptocurrency trading bot. Starting with the basics, it covers essential components such as choosing the right programming language, setting up APIs to connect with exchanges, and implementing trading algorithms. The infographic also highlights important considerations like risk management, back-testing strategies, and continuous optimization. Visual aids and concise explanations make complex processes easy to understand, even for beginners. Whether you're a seasoned trader looking to automate your strategy or a tech enthusiast interested in crypto trading, this guide offers valuable insights to get you started.
Source: How to Build a Crypto Bot
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auroragracesblogs · 7 months ago
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Key Components Influencing the Cost for Developing a Binance Clone
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Developing a cryptocurrency exchange platform similar to Binance requires careful consideration of various components that significantly influence development costs. Binance, known for its robust trading engine, extensive cryptocurrency support, advanced security measures, and user-friendly interface, sets a high standard in the industry. Entrepreneurs and businesses embarking on the journey to create a Binance clone must understand the key components and factors that impact development expenses. This guide explores essential components and considerations influencing the cost for developing a Binance clone, providing valuable insights and strategies for effective budgeting and planning.
1. Trading Engine
The trading engine is the heart of any cryptocurrency exchange platform, including a Binance clone. It facilitates the matching of buy and sell orders in real-time, ensuring efficient and secure transactions. The complexity and scalability of the trading engine significantly impact development costs:
Basic Order Matching: Implementing basic order matching algorithms is more cost-effective but may limit scalability during peak trading periods.
Advanced Order Types: Supporting advanced order types such as limit orders, market orders, stop-limit orders, and conditional orders requires sophisticated algorithms and increases development complexity and costs.
Scalability: Designing a scalable trading engine capable of handling high transaction volumes and market volatility entails additional development efforts and infrastructure costs.
2. User Interface (UI) and User Experience (UX)
A well-designed UI/UX is essential for attracting and retaining users on a cryptocurrency exchange platform. Factors influencing UI/UX design and development costs include:
Responsive Design: Ensuring seamless user experience across devices (desktop, mobile, tablet) requires adaptive and responsive design practices.
Intuitive Navigation: Simplifying navigation flows and enhancing user interaction through intuitive design elements and visual cues improves usability but adds to development costs.
Customization: Offering customizable dashboard layouts, theme options, and personalized user settings enhances user engagement but requires additional design and development efforts.
3. Security Features
Security is paramount in cryptocurrency exchanges to protect user funds, data, and transactions from cyber threats and vulnerabilities. Key security features influencing development costs include:
Encryption: Implementing robust encryption protocols (e.g., SSL/TLS) to secure data transmission and storage adds to development expenses.
Two-Factor Authentication (2FA): Integrating 2FA for user accounts enhances security but requires additional development and integration efforts.
Cold Wallet Storage: Supporting cold wallet storage solutions for storing a significant portion of user funds offline enhances security but entails setup and maintenance costs.
Security Audits: Conducting regular security audits and penetration testing to identify and mitigate potential vulnerabilities and compliance risks is crucial but adds to ongoing operational costs.
4. Cryptocurrency Support and Wallet Integration
Supporting a wide range of cryptocurrencies and integrating seamless wallet solutions are essential for catering to diverse user preferences and market demands:
Cryptocurrency Integration: Adding support for multiple cryptocurrencies (e.g., Bitcoin, Ethereum, Ripple) requires integration with blockchain networks and APIs, influencing development complexity and costs.
Wallet Integration: Seamless integration with external cryptocurrency wallets for deposits, withdrawals, and transfers enhances user convenience but necessitates additional development and testing efforts.
5. Regulatory Compliance
Navigating regulatory requirements and ensuring compliance with local and international laws is critical for operating a legitimate and secure cryptocurrency exchange:
KYC/AML Procedures: Implementing robust Know Your Customer (KYC) and Anti-Money Laundering (AML) procedures to verify user identities and monitor transactions for suspicious activities incurs development and operational costs.
Legal Consultations: Seeking legal counsel to interpret and comply with evolving regulatory frameworks adds to initial setup costs and ongoing compliance efforts.
6. Admin Panel and Backend Infrastructure
The admin panel and backend infrastructure form the operational backbone of a cryptocurrency exchange platform, influencing development costs in various ways:
Admin Dashboard: Developing a comprehensive admin dashboard for managing users, transactions, security settings, and platform operations requires backend development expertise and increases development costs.
Scalable Architecture: Designing a scalable backend architecture with load balancing, database management, and server infrastructure provisioning supports high availability and performance but requires initial investment in infrastructure setup and maintenance.
7. Customer Support and Community Engagement
Providing responsive customer support and fostering community engagement are crucial for user retention and platform credibility:
Support Channels: Establishing multiple support channels (e.g., ticketing system, live chat, email support) to address user inquiries and issues requires ongoing resource allocation and operational costs.
Community Management: Investing in community management strategies, including social media engagement, forums, and educational content, enhances user trust and platform adoption but adds to marketing and operational expenses.
Conclusion
Developing a Binance clone involves navigating various complexities and considerations that impact development costs. By understanding the key components influencing costs—such as the trading engine, UI/UX design, security features, cryptocurrency support, regulatory compliance, backend infrastructure, and customer support—entrepreneurs and businesses can effectively budget, plan, and execute their cryptocurrency exchange project.
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vabroapp · 8 months ago
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Is Your Agile User Story Truly "Done"? The Power of a Definition of Done (DoD)
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Is Your Agile User Story Truly "Done"? The Power of a Definition of Done (DoD) User stories are a cornerstone of Agile, capturing user needs in a concise format. However, simply completing the core functionality of a user story is not enough. We need a clear definition of what "done" actually means. This is where the Definition of Done (DoD) comes in. What is Definition of Done (DoD)? The Definition of Done is an agreed-upon set of items that must be completed before a project or user story can be considered complete. Why do we need DoD? It outlines the specific criteria a user story must meet before being considered truly "done." The DoD is a collaborative effort. Ideally, the entire Agile team (developers, scrum masters, product owners) should be involved in crafting it. This ensures everyone has a stake in meeting the defined criteria. Here are 10 essential validation points for a sample DoD, with room for customization as per project needs: ✅ Have key stakeholders reviewed and approved the completed user story, including sign-off from the Product Owner?. ✅ Are all functionalities within the user story confirmed through successful unit acceptance testing?. ✅ Have dedicated Quality Assurance (QA) tests been completed and passed, ensuring the user story meets quality standards?. ✅ Is all user story documentation, such as user guides and API references, complete, accurate, and up-to-date?. ✅ Are all open issues related to the user story fixed and verified as closed? ✅ For functionalities involving APIs, are all API references validated and documented for future reference?. ✅ Have clear steps been defined and validated to ensure seamless deployment of the user story to the intended environment(s)?. ✅ Have all smoke tests, designed to verify core functionalities, been successfully run and approved?. ✅ Were any non-functional requirements, such as performance, security, or accessibility, included in the scope of the user story? If so, have these aspects been reviewed and approved? ✅ Have all key stakeholders with a vested interest in the project provided their final sign-off on the completed user story? By incorporating these validation points into your DoD checklist, you can ensure a more comprehensive and robust definition of "done" for your Agile user stories. Please share your suggestions, and inputs in the comments below.
🔗 Visit www.vabro.com to know more.
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manonamora-if · 1 year ago
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SugarCube v2.37.0 (aka the next update of SugarCube) is currently in alpha testing. A bunch of stuff will change (bug fixes, new macro, deprecated macros), especially with Saves. If you are interested in testing this new version and provide bug reports the link above mentions a public testing. You can download the alpha version on that page.
Head's up for creators: for most games created in SugarCube, the change will be minimal (or even unnoticeable). But if you use more advanced elements, some of the APIs, or custom macros, you may need to test things again and potentially fix things.
The release date of the new update is not yet available.
Mhhhh should I finish the SugarCube guide... or wait for the update to happen?
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rahulshettyacade · 1 year ago
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java-full-stack-izeon · 8 months ago
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java full stack
A Java Full Stack Developer is proficient in both front-end and back-end development, using Java for server-side (backend) programming. Here's a comprehensive guide to becoming a Java Full Stack Developer:
1. Core Java
Fundamentals: Object-Oriented Programming, Data Types, Variables, Arrays, Operators, Control Statements.
Advanced Topics: Exception Handling, Collections Framework, Streams, Lambda Expressions, Multithreading.
2. Front-End Development
HTML: Structure of web pages, Semantic HTML.
CSS: Styling, Flexbox, Grid, Responsive Design.
JavaScript: ES6+, DOM Manipulation, Fetch API, Event Handling.
Frameworks/Libraries:
React: Components, State, Props, Hooks, Context API, Router.
Angular: Modules, Components, Services, Directives, Dependency Injection.
Vue.js: Directives, Components, Vue Router, Vuex for state management.
3. Back-End Development
Java Frameworks:
Spring: Core, Boot, MVC, Data JPA, Security, Rest.
Hibernate: ORM (Object-Relational Mapping) framework.
Building REST APIs: Using Spring Boot to build scalable and maintainable REST APIs.
4. Database Management
SQL Databases: MySQL, PostgreSQL (CRUD operations, Joins, Indexing).
NoSQL Databases: MongoDB (CRUD operations, Aggregation).
5. Version Control/Git
Basic Git commands: clone, pull, push, commit, branch, merge.
Platforms: GitHub, GitLab, Bitbucket.
6. Build Tools
Maven: Dependency management, Project building.
Gradle: Advanced build tool with Groovy-based DSL.
7. Testing
Unit Testing: JUnit, Mockito.
Integration Testing: Using Spring Test.
8. DevOps (Optional but beneficial)
Containerization: Docker (Creating, managing containers).
CI/CD: Jenkins, GitHub Actions.
Cloud Services: AWS, Azure (Basics of deployment).
9. Soft Skills
Problem-Solving: Algorithms and Data Structures.
Communication: Working in teams, Agile/Scrum methodologies.
Project Management: Basic understanding of managing projects and tasks.
Learning Path
Start with Core Java: Master the basics before moving to advanced concepts.
Learn Front-End Basics: HTML, CSS, JavaScript.
Move to Frameworks: Choose one front-end framework (React/Angular/Vue.js).
Back-End Development: Dive into Spring and Hibernate.
Database Knowledge: Learn both SQL and NoSQL databases.
Version Control: Get comfortable with Git.
Testing and DevOps: Understand the basics of testing and deployment.
Resources
Books:
Effective Java by Joshua Bloch.
Java: The Complete Reference by Herbert Schildt.
Head First Java by Kathy Sierra & Bert Bates.
Online Courses:
Coursera, Udemy, Pluralsight (Java, Spring, React/Angular/Vue.js).
FreeCodeCamp, Codecademy (HTML, CSS, JavaScript).
Documentation:
Official documentation for Java, Spring, React, Angular, and Vue.js.
Community and Practice
GitHub: Explore open-source projects.
Stack Overflow: Participate in discussions and problem-solving.
Coding Challenges: LeetCode, HackerRank, CodeWars for practice.
By mastering these areas, you'll be well-equipped to handle the diverse responsibilities of a Java Full Stack Developer.
visit https://www.izeoninnovative.com/izeon/
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beproblemsolver · 9 months ago
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Learn to create a REST API with Laravel and Postman in 9 straightforward steps. Follow our guide to efficiently build and test powerful APIs Read More: https://beproblemsolver.com/rest-api-with-laravel-and-postman/
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Could you elaborate on how software is applied philosophy?
Software work ends up using and empirically testing a lot of the thinking and conclusions that get serious discussion in philosophy, or that would look like philosophy if generalized beyond software.
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My go-to example of this, probably not the best example but it's simple and accessible, is "Chesterton's Fence", which is basically the idea that we shouldn't change something unless we understand why it is (or was) good/useful.
Outside of software, some philosopher named Chesterton popularized this idea like a hundred years ago with an analogy about a fence, and it has been discussed enough that today it still has an established name from that. People debate and hair-split when it applies and what other values/heuristics should take precedence. You can even find people arguing whether it's a good heuristic at all or always wrong.
In software, getting any real work done depends on already having a practical, working solution to this problem space. When you need to change code but you feel that desire to understand more of it first, or you want to get more testing with a new change before rolling into production, that's your brain already having a whole philosophy paper's worth of ideas expanding on Chesterton's Fence. When is it safe or an acceptable trade-off to proceed without learning more? Precisely what edge cases do you need to look into or rule out? What tests can take the place of needing to know the consequences? What design of my implementation or API can eliminate the need for code guarding against special cases?
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So that's just one example, but I think this generalizes pretty well.
A lot of philosophy boils down to: how think, what's true, what do? The study of correct thinking, what we can know and how, and what we ought to do. (Logic, epistemology, and ethics.)
And in software, we use all those skills. If our logic is bad, we make more mistakes. If our ability to know what we know and how to verify truth of our ideas is bad, we'll make more mistakes. If we have bad ideas about how to make decisions, or bad skills at reviewing ourselves for errors in thinking and knowledge, we'll have more inefficiencies in our processes/workflows and be slower to improve. Very few activities have as tight/short/fast of a feedback loop between how your think and what results you get.
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There is a lot of overlap in the mental skills involved in sound philosophical thought and coming up with good software designs for a given problem. In as little as I can claim to have done both, I seem to need mostly the same mental skills for them.
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A lot of decisions and trade-offs in software have ethics impacts. We get a lot of personal freedom within our code that will have real impacts on other people - edge cases frustratingly unhandled vs handled in an intuitive and helpful way; errors silently swallowed or harmfully ignored or cryptically unadorned vs considerately detected before destructive actions and informatively wrapped before being shown; code left opaque and complected vs helpfully tuned to guide understanding and written so as to minimize what needs to be known or changed to work with any given spot. All that adds up to affect people, sometimes very significantly, wasting hours of work or losing data.
Two examples of that in one. Just the other day I helped someone save a lot of stuff they had typed from a website that got stuck in some state where their text was unclickable+unselectabled and covered by an overlay. Losing all that text and having to retype it would've been severely unpleasant, mentally+emotionally costly, and probably would've ruined an evening for at least one person. I was only able to help because I am fluent with web browsers' dev tools, so I was able to find the text box in the HTML inspector. I doubt the devs of either the web app or the browser dev tools had this particular situation in mind, but these were predictable ethics impacts on both sides - and besides ethics in general being a subset of philosophy, the thought shapes that enable you to automatically predict entire categories of impacts like those are also a kind of philosophy.
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When you design a class hierarchy in code, or a database schemas, or a REST API, or just come up with a way to factor some logic into separate functions... you're doing ontology. And while the philosopher ontologist sees no real consequences if they get it wrong, you will feel the difference between getting it right and getting it wrong as the difference between a force-multiplier and an awkward hindrance - edge-cases and boilerplate elegantly become naturally unnecessary and more things Just Work "for free" when the abstractions and factoring and data shape are right for the problem. You're decomposing things into concepts and identifying relationships between them, and you're testing if the thinking you use to do that is actually good at distilling what's functionally important to the problem space. (This is why "naming things" is one of the "truly hard problems in computer science" - naming things well sometimes entails all the work of coming up with an ontology that's good for thinking about what you're doing, which also must map concisely and intuitively to a language like English.)
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Sorry for the lack of cohesion/connectedness, this is just what I could think of / remember off the top of my head today.
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mercyjuliet1512 · 1 year ago
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