Best of Python — 2025

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    Article
    Avatar of lobstersLobsters·21w

    I’m a former CTO. Here is the 15 sec coding test I used to instantly filter out 50% of unqualified applicants. – Jose Zarazua

    A former CTO shares a simple coding screening question used to filter job applicants. The test presents basic code logic that qualified developers can solve mentally in seconds, while unqualified candidates resort to copy-pasting into interpreters or AI tools. The question includes a hidden character that produces different results when copy-pasted versus solved manually. Results showed 50% of applicants used automated tools, 47% answered correctly, and 3% answered incorrectly, effectively halving the candidate pool requiring deeper review.

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    Article
    Avatar of 80lv80 LEVEL·35w

    Level Up Your Coding Skills With This Farming Game

    The Farmer Was Replaced is a farming game that teaches programming through automation. Players use a Python-like language to program drones that handle repetitive farming tasks. The game offers continuous progression rather than isolated levels, making it beginner-friendly while still challenging experienced programmers. It launches October 10 with features like multiple drone support, expanded tech trees, and multilingual support.

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    Article
    Avatar of mlmMachine Learning Mastery·1y

    The Roadmap for Mastering Machine Learning in 2025

    Machine learning (ML) is integral to many sectors, making it a valuable skill by 2025. This guide offers a step-by-step roadmap for mastering ML, starting with prerequisites in mathematics and programming, followed by core ML concepts, deep learning, and specialization in fields like computer vision or NLP. It also covers model deployment and building a portfolio to showcase projects. The emphasis is on practical learning through projects and continuous skill enhancement.

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    Article
    Avatar of devtoDEV·41w

    Programming Is Becoming Prompting

    The programming landscape is shifting as AI tools transform coding from writing functions to crafting prompts. While AI assistance can scaffold codebases, generate tests, and speed up routine tasks, it risks diminishing creativity and problem-solving skills. Developers need to balance leveraging AI for efficiency while maintaining deep coding knowledge for debugging, scaling, and handling complex edge cases. The key is knowing when to use AI and when to code manually, as understanding fundamentals remains crucial when AI-generated solutions break or need customization.

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    Article
    Avatar of freecodecampfreeCodeCamp·1y

    Why Your Code is Slow: Common Performance Mistakes Beginners Make

    Slow code is a common issue for beginners. This guide explores seven frequent performance pitfalls and offers solutions to enhance code efficiency. Key topics include logging, loop optimization, database query handling, understanding hardware, memory management, array traversal, and avoiding unnecessary data copies. Practical examples and tips help developers write faster, more efficient code, and understand the importance of profiling and choosing appropriate data structures.

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    Video
    Avatar of asaprogrammerAs a Programmer·1y

    Python Full Course for Beginners (2025) - Build 35 Projects

    Learn Python from scratch with a 12-hour course designed for complete beginners. This course features a Python crash course covering syntax and fundamentals, followed by 35 hands-on projects that gradually increase in difficulty. Projects range from creating a chatbot and a drawing app to developing a real-time chat application and deploying a full stack web application. Extra resources, including source code, are provided for free.

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    Article
    Avatar of yhtxohtmgtdk1f5lkdkseÖzkan Pakdil·28w

    2025 programming trends from JetBrains

    Python continues to strengthen its position in the programming language landscape, while Go and Rust are gaining momentum and competing for developer adoption. JetBrains' 2025 Developer Ecosystem survey provides detailed insights into these emerging trends and the competitive dynamics between these languages.

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    Article
    Avatar of awegoAwesome Go·46w

    Best Programming Language for 2026

    Python remains the top choice for AI/ML and automation, while Rust gains momentum for systems programming and blockchain development. JavaScript/TypeScript continues dominating web development, Go excels for backend microservices, and Swift/Kotlin rule mobile development. The guide provides career-specific language recommendations and emphasizes choosing based on your goals rather than popularity alone.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    Top 10 Educative Courses for Software Engineers in 2025

    The post recommends the top 10 interactive courses for software engineers in 2025 provided by Educative.io. These courses cover essential topics such as Generative AI, Data Science, System Design, Cloud Computing, and more. They offer a hands-on learning experience with a focus on text-based content, making them ideal for developers seeking to enhance their skills and remain competitive in the tech industry.

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    Article
    Avatar of lonely_programmerLonely Programmer·48w

    Grandpa Python

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    Article
    Avatar of lobstersLobsters·1y

    A Programmer's Reading List: 100 Articles I Enjoyed (1-50)

    Programmers often share their knowledge through technical articles. This post is the first part of a series, presenting 50 articles focused on topics such as general programming knowledge, software engineering, backend development, technical writing, Python, and Go. Highlights of these articles include insights on learning effectively, managing self-motivation, optimizing Go program performance, the cost and quality of software, and writing helpful error messages.

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    Article
    Avatar of hnHacker News·28w

    Why we migrated from Python to Node.js

    A startup rewrote their backend from Python/Django to Node.js/Express one week after launch due to Python's async limitations. The team struggled with Django's incomplete async support, colored functions problem, and the need for constant sync/async conversions. Despite losing Django's ergonomic ORM, they gained 3x throughput, unified their codebase with their existing Node worker service, and improved code maintainability. The three-day migration was driven by concerns about scalability and code quality rather than immediate load issues.

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    Article
    Avatar of su5hqluae4wlrb1nahjtvSerdarcan Buyukdereli·39w

    How a Senior DevOps Interview Became a Sophisticated Hacking Attempt

    A developer shares their experience with a sophisticated phishing attack disguised as a legitimate job interview for a Senior DevOps Engineer position at Revolut. The fake recruiter sent a technical task containing malicious Python code that would create admin users and establish remote server connections. The attack demonstrates how cybercriminals are exploiting recruitment processes to target developers with seemingly innocent coding challenges.

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    Article
    Avatar of medium_jsMedium·48w

    How to Build Production Ready AI Agents in 5 Steps

    A comprehensive 5-step guide for building production-ready AI agents, covering Python foundations with FastAPI and async programming, implementing robust testing and logging, mastering RAG for knowledge retrieval, designing scalable agent architectures with frameworks like LangGraph, and establishing continuous monitoring and improvement processes. The guide emphasizes moving beyond prototype demos to create reliable, maintainable systems that can handle real-world production environments.

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    Article
    Avatar of freecodecampfreeCodeCamp·50w

    LeetCode Meditations: A Visualized Tour of DSA Concepts (A Handbook)

    A comprehensive handbook covering fundamental data structures and algorithms concepts through visual explanations and code examples. Topics include arrays, hash tables, two pointers technique, sliding window, stacks, binary search, linked lists, trees, heaps, and backtracking. Each concept is explained with practical implementations in JavaScript, TypeScript, and Python, along with time and space complexity analysis. The guide emphasizes understanding core principles rather than memorizing specific problem solutions.

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    Article
    Avatar of communityCommunity Picks·51w

    GPT-4.1 Prompting Guide

    The post provides a comprehensive guide on GPT-4.1 prompting using the OpenAI API. It includes open-source examples, advanced techniques, and detailed walkthroughs, empowering developers to efficiently utilize GPT-4.1 capabilities. The guide also encourages sharing your own examples and insights for further learning.

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    Article
    Avatar of freecodecampfreeCodeCamp·1y

    How to Build a Team of AI Agents for Your Website for Free Using Agno and Groq

    Learn how to integrate a team of AI agents into your website for free using Agno and Groq. The tutorial walks through setting up a portfolio website that includes AI agents to handle customer inquiries, create content, analyze user behavior, and provide personalized experiences. This setup can automate part of your business, improving efficiency and engagement without requiring extensive technical expertise or a large budget.

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    Article
    Avatar of hnHacker News·1y

    Social Media via SSH

    itter.sh is a unique SSH-based micro-blogging platform tailored for terminal enthusiasts who prefer simplicity over web interfaces. Users can register and log in using SSH keys, post short messages called 'eets', and interact with others through commands similar to traditional social media features. The platform emphasizes minimalism, nostalgia, and a break from algorithm-driven content.

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    Article
    Avatar of bytebytegoByteByteGo·23w

    How Reddit Migrated Comments Functionality from Python to Go

    Reddit migrated their comments functionality from a legacy Python monolith to a Go microservice, handling their largest dataset and highest write throughput. The migration used "tap compare" for read operations and "sister datastores" for writes, allowing validation with real traffic while maintaining zero risk. Key challenges included cross-language serialization issues, database access pattern differences, and race conditions in verification. The migration succeeded with zero user disruption and delivered an unexpected bonus: p99 latency was cut in half, dropping from occasional 15-second spikes to consistently under 100 milliseconds.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    I Built a Web Scraping AI Agent From Scratch - It's Insane...

    Building powerful AI applications requires the integration of large language models (LLMs) with real-time data and useful tools. In this post, the author demonstrates the development of an AI travel agent using Python. This agent uses Bright Data APIs for real-time travel data, Google Flights, and hotel information to provide relevant and current recommendations. The post covers the project's architecture, details the steps of web scraping with automated browsers, and explains how the AI processes and combines data to generate personalized travel plans.

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    Article
    Avatar of pulumiPulumi·1y

    Python for DevOps

    Python is highly versatile for both quick fixes and long-term infrastructure in DevOps. It excels at building custom solutions and automating tasks using libraries like Django, Flask, Prometheus, Schedule, and Airflow. Additionally, Python supports network analysis with Scapy, security scanning with Bandit, container management with Docker SDK, and infrastructure as code with Pulumi. Combining these tools allows the efficient creation of dashboards, automations, and complex deployments from a single language.

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    Article
    Avatar of huggingfaceHugging Face·51w

    Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

    The post introduces a method to create MCP-powered agents in Python, highlighting a simplified setup for integrating external tools with large language models (LLMs). By using the Model Context Protocol (MCP), these agents can easily interact with various tools without custom integration. The guide details the setup and execution of such agents using the huggingface_hub, showcasing potential use cases and possible configurations. It emphasizes the role of the MCPClient in facilitating asynchronous connections to MCP servers, tool discovery, and execution.

  23. 23
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    Free GenAI 65-Hour Bootcamp

    The freeCodeCamp.org YouTube channel offers a free 65-hour bootcamp on Generative AI covering theoretical knowledge and practical projects. Suitable for all skill levels, it includes expert lectures and real-world applications to enhance learning. Participants gain experience in tools like Python and Jupyter, focusing on AI-powered applications for educational purposes, with modules on prompt engineering, backend API creation, and AI model fine-tuning.

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    Article
    Avatar of swirlaiSwirlAI·49w

    Breaking into AI Engineering in 2025.

    A comprehensive roadmap for becoming an AI Engineer in 2025, covering essential skills from Python fundamentals and LLM APIs to advanced topics like AI agents, RAG systems, and observability. The guide emphasizes learning fundamentals while building practical skills, starting with basic LLM integration and progressing through vector databases, prompt engineering, agentic systems, infrastructure deployment, and security considerations. Key recommendations include mastering FastAPI and Pydantic, understanding different LLM types and structured outputs, implementing RAG with proper data preprocessing, and learning agent design patterns like ReAct and task decomposition.

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    Article
    Avatar of planetpythonPlanet Python·1y

    Python Game Code: The Ultimate Pygame Guide

    This guide provides a step-by-step tutorial for creating a Python game called Neon Racer using Pygame. It covers setting up the game window, implementing player movement, adding a scrolling road background, generating obstacles, including pickups for extra points, and handling collision detection and scoring. Each module is integrated into a complete game with detailed code examples to ensure smooth and engaging gameplay.

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