#programing

The best tech stack for web development (in 2026): 1. Programming Languages: > Python > JavaScript > Go > Java > Rust 2. Frameworks: > FastAPI > NodeJS > Spring Boot > Django >ASP NET 3. Databases: > PostgreSQL > MySQL > MongoDB > Redis > DynamoDB 4. Cloud & Deployment: > AWS > Docker > Kubernetes > GCP > Azure 5. CI/CD & Version Control: > GitHub > GitHub Actions > GitLab > Jenkins > CircleCI Remember, you don’t need the whole stack. Pick one tool from each layer & build. Anything else you'd add? === 1. RT to help others start with web development. 2. If you want to get good at backend engineering, @systemdesignone will help you get there.

Object-oriented programming is one of the most widely-used programming paradigms in software development. And in this detailed guide, Lucas shows you how it works in TypeScript. You'll learn key TS language features like objects, classes, & interfaces, then see how they give rise to the four pillars of OOP.

Vamos !

¡Abuelaaa, #Engram aparece en la documentación oficial de @DeepSeekHarness como opción "recomendada" de memoria! De locos el alcance e impacto de tu trabajo, @G_Programming , me quito el sombrero.

If you want to improve your programming skills, try comparing and contrasting similar code. In this in-depth guide, Evaristo walks you through five different versions of a Rock, Paper, Scissors game in JavaScript. You'll use System Block Diagrams to analyze each project, dissect their methodologies, and learn how to build mental models.

Prototype of my Arduino Radio Using an ATMega328 @arduino #radio #programing #coding #DIY #electronics #digytronix

Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now? 1. Programming will be the first to be eliminated. AI models are already doing this. Broader software engineering tasks will take a bit longer, but they're also receding. If you're learning programming just to keep your job, you're heading in the wrong direction. 2. Even if you only do 5% of the work, it still has value. AI does 95%, you do 5%, and your productivity can increase 20-fold. The power of comparative advantage is astonishing, even with huge gaps. 3. The most promising careers are human-centered. Jobs that combine interpersonal skills, the physical world, and analytical abilities. He cited radiologists as an example: doctors who understand patients and context, not just those who can read scans. 4. Critical thinking may be the most important skill in the next decade. When AI can generate anything, the ability to discern truth from falsehood becomes scarce and precious. You don't want to hold false beliefs or be deceived. This is his practical advice to 25-year-old young people. 5. If you don't use AI well, it will make you dumber. Anthropic has done related research. Depending on how you use the models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse. 6. He's bullish on semiconductors as capitalism's victory in the next decade. The physical world, traditional engineering, direct AI dividends. Not software, but chips.

Python Conditional Statements

AI makes coding faster, But debugging never ends 🤣🤣🤣

SQL Basics Cheat Sheet for Beginners

Posted this before but now that I have larger audience I am posting again ,no skipping Day 4 — Part 2/3 🚀 Continuing where Part 1 left off. More concepts, more practical examples, and more understanding of what happens behind the scenes. #TechDecoded #DevOps #Linux #Programming

Day 4 — Part 2/3 🚀 Continuing where Part 1 left off. More concepts, more practical examples, and more understanding of what happens behind the scenes. #TechDecoded #DevOps #Linux #Programming

Learn Coding by playing games 1. Kubernetes 2. DevOps 3. Linux 4. Git 5. Python 6. CSS & HTML 7. Cybersecurity 8. Mobile Coding (like Duolingo) 9. For Complete Beginners 10. 25+ Programming Languages

Machines make detail look easy, but programming every curve is an art form on its own. Do you see this as true craftsmanship or just manufacturing? ⚙️

Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now? 1. Programming will be the first to be eliminated. AI models are already doing this. Broader software engineering tasks will take a bit longer, but they're also receding. If you're learning programming just to keep your job, you're heading in the wrong direction. 2. Even if you only do 5% of the work, it still has value. AI does 95%, you do 5%, and your productivity can increase 20-fold. The power of comparative advantage is astonishing, even with huge gaps. 3. The most promising careers are human-centered. Jobs that combine interpersonal skills, the physical world, and analytical abilities. He cited radiologists as an example: doctors who understand patients and context, not just those who can read scans. 4. Critical thinking may be the most important skill in the next decade. When AI can generate anything, the ability to discern truth from falsehood becomes scarce and precious. You don't want to hold false beliefs or be deceived. This is his practical advice to 25-year-old young people. 5. If you don't use AI well, it will make you dumber. Anthropic has done related research. Depending on how you use the models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse. 6. He's bullish on semiconductors as capitalism's victory in the next decade. The physical world, traditional engineering, direct AI dividends. Not software, but chips.

Which programming language is best to learn as a beginner ?? 1) JAVA 2) Python 3) C++ 4) JavaScript

Why Is Python Everyone’s First Choice for Machine Learning?

Every Python developer knows this feeling! When you get a new Python project idea: “This is going to be amazing!” 5 minutes into coding: SyntaxError ModuleNotFoundError IndentationError “WHY IS THIS NOT WORKING?” But that's the reality of programming! Debugging, Googling errors, reading documentation, and trying again are all part of the journey. Remember: Every great developer has been stuck on a bug. The difference is that they keep going. Be honest: How many minutes does it take for your project to go from exciting to frustrating? Follow us for regular updates on Python and our bootcamp!

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25 VS Code Extensions Every Developer Should Install

Machine Learning Loss Functions ✍️

Programming Languages used by Tech Celebrities • Elon Musk - BASIC, C, C++ • Mark Zuckerberg - PHP, JavaScript, C++ • Bill Gates - BASIC, Assembly • Steve Wozniak - Assembly, BASIC • Linus Torvalds - C, Assembly • Larry Page - Java, Python • Sergey Brin - Java, Python, C++ • Jeff Bezos - C, C++ • Guido van Rossum - C, Python • Bjarne Stroustrup - C, C++ • James Gosling - C, Java • Dennis Ritchie -Assembly, C • Grace Hopper - Assembly, FLOW-MATIC • Tim Berners-Lee - Objective-C, C • Ken Thompson - Assembly, C • John Carmack - C, C++, Assembly • Margaret Hamilton - Assembly (AGC)