#programing

Python Quiz: What is the Output? A) 5 B) 7 C) 8 D) 4

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!

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

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

Vibe coders biggest headache 😭

Tu código funciona. Pero si mañana falla, ¿sabés por qué estaba funcionando? Hay datos sobre programar con IA que vale la pena mirar. Video en comentarios 👇 #IA #Programación

Lunes sale un modelo nuevo. Martes, otro framework de agentes. Miércoles, otra herramienta. Tu timeline no es el mercado. No tenés que aprender todo de golpe: enfocate en lo que no tiene versión y aprendé lo nuevo cuando lo necesites. Video en comentarios 👇 #Programacion

Hope everyone day is going well. Digit and I are programming today, so we will be just starting at a screen for hours #programing #robot

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.

50 coding concepts every developer should understand: -- Fundamentals -- ❯ Variables & Data Types ❯ Functions & Scope ❯ Recursion ❯ Closures ❯ Pass by Value vs Reference ❯ Error Handling ❯ Immutability ❯ Stack vs Heap Memory -- Data Structures & Algorithms -- ❯ Big O Notation ❯ Arrays & Linked Lists ❯ Hash Maps ❯ Stacks & Queues ❯ Trees & Graphs ❯ Sorting & Searching ❯ Dynamic Programming ❯ Two Pointers & Sliding Window ❯ Binary Search ❯ BFS & DFS -- OOP & Design -- ❯ Encapsulation ❯ Inheritance vs Composition ❯ Polymorphism ❯ SOLID Principles ❯ DRY, KISS & YAGNI ❯ Design Patterns ❯ Dependency Injection -- Concurrency & Performance -- ❯ Threads vs Processes ❯ Async & the Event Loop ❯ Race Conditions & Deadlocks ❯ Caching ❯ Garbage Collection -- Web & APIs -- ❯ HTTP & Status Codes ❯ REST & GraphQL ❯ Authentication vs Authorization ❯ JWT & OAuth ❯ CORS ❯ WebSockets ❯ Cookies & Sessions -- Databases -- ❯ SQL vs NoSQL ❯ Indexing ❯ ACID & Transactions ❯ Normalization ❯ Joins -- Engineering Practices -- ❯ Git & Version Control ❯ Unit & Integration Testing ❯ CI/CD ❯ Docker & Containers ❯ Code Reviews ❯ Refactoring ❯ Logging & Monitoring ❯ Security Basics (OWASP Top 10) Bookmark this. Learn one concept a day. Build something small with each. The goal isn't to memorize 50 terms. It's to know why each one exists.

Best YouTube Playlists to learn Programming: C C++ Python Java C# SQL Go PHP Swift Kotlin Dart Ruby Rust TypeScript R React Next.js Node.js HTML/CSS Machine Learning Deep Learning DSA

Python Quiz: What is the Output?

Top 50 Java 8 Stream, Lambda, and Functional Programming Interview Questions: #Java #Programing #100DAysOfcode via @javarevisited

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.

ok so now that i’ve finished my main quest to build an adaptive / 3d living world (nocturne: inkwell). i’ve decided on my next big project… an adaptive, collaborative, cloud based operating system built in my programming language (ink). the core ideas will be: - the file system is treated like a db - apps are ‘views’ or ‘projections’ over queries. - hierarchy and file organisation are less of a thing… semantics, time, relevance are the main ways to surface data - software begins ephemeral and adapts through use, its shape solidifying as intended workflows are realised. - the whole os can be driven headlessly by ai so you can use local agents to steer it & create new software. - it’s permissioned similar to google docs - version control for the whole os - seamless spinning up / parallel computing as you need more cpu’s / gpu’s. - stack compression (where inks compiler optimises data / software / computation towards a goal in parallel) lets go!!

ink: an adaptive programming language

Since so few people see my X posts these days, might as well just record this here: I am designing a new _type_ of programming language. It's not ready to share yet, not even close, despite working on it 4 - 6 hours a day since November 2025. However, when I'm done the language will provide: - Near-perfect static analysis. Write any rule you want and have it enforced deterministically. Automatically refactor anything and be totally confident the refactoring was safe. - Fast automated verification as part of the language itself. Not necessarily full formal verification automatically during compilation, but something similar. Specifying the program sufficiently for this verification will be a mandatory part of the language. Separate proofs could be written to fill in any verification gaps. Plus, the language will automatically generate property tests to prove the runtime properties of the system. - Only one way to write any correct program. This is impossible in the limit, but the language will get closer to this than any other language has ever come, as far as I know, and the static analysis properties will allow developers to specify the other rules they would need in their environments to make it true for the software they are building. - Theoretically perfect optimization. Once again, extremely difficult, but the language will provide maximal knowledge of the system to the compiler, enabling the compiler to some day reach a level of optimization beyond any other language in existence today. Reaching that actual maximum could take a decade or more, but the theoretical peak should be there, from what I can see so far. - Fast compile times with a high degree of parallelism during the build. Probably not as fast as Go, but it should be faster than Rust (though the specifics here remain to be seen). Also very good incremental build behavior to avoid recompiles, although with an option to do full optimizing analysis of the whole program for better performance. - Automatic concurrency. Get maximum efficient parallelism without ever writing a single concurrency construct. Get verification of safe concurrency at compile time. The "maximum" part is actually easy, with the language's design. The "efficient" part could take quite a bit of work but I believe we could get there (since we will have near-perfect knowledge of the system). - Way more stuff, including what I think are some of the best supply-chain security principles and large-scale software development support in the world. Once of the reasons it's not ready to share is that these are some pretty wild claims, and I want to have an actual artifact that shows that it works before I go advertising it very broadly. There is also the chance that I'm wrong or that I will hit some impassable wall at some point, although so far everything has been working out pretty wildly well. And finally, I can't field a zillion questions or write its docs right now while I am deep in its implementation. (All of that will come later, and I have plans for how to make the language accessible to both humans and agents, as well as provide a great tooling ecosystem around it.) Right now the only real barrier to its development is how much time I have to work on it. I have a day job that I genuinely love, with co-workers who I really appreciate and enjoy working with. But because of that, I only have about 6 hours a day (yes, I am working 14+ hours a day) to work on this, and even with agents it is a project that requires thousands of hours. If I could find some way to work on this full time, I would be doing it 12+ hours a day. I am confident that this is what the world of agentic software development needs right now. I am confident that I can build it. I just need the time.

5 Essential Java libraries should learn (if you don't know already) 1. Lombok 2. Testcontainers 3. Jackson 4. JUnit 5. Mockito #Java #programing

I'm doing a course based on my Cultures of Programming book! A perfect excuse to also record the material for anyone who prefers listening over reading. Part 1: What can we learn from the 80 years of programming history & why Knight Capital lost $440m:

The AI Vampire: rendís 10 veces más con IA y no cobrás 10 veces más Video completo en el canal 👇 #ia #trabajo #programacion

Python Quiz: 🧠 Only 1% of coders get this right on the first try! Comment your answer 💯