Best of PythonMarch 2025

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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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    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 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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    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 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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    Article
    Avatar of halodocHalodoc·1y

    Log Standardization

    Debugging in microservices is challenging without structured logging. This post explores logging strategies for HTTP requests, Kafka events, and concurrency in Java, Golang, and Python. It addresses context loss in Java’s multi-threading by introducing MDCAwareCompletableFuture and MDCAwareExecutorService, ensuring traceability in concurrent systems. A structured logging approach with Request ID, Transaction ID, and Parent Transaction ID is recommended for better traceability and debugging efficiency.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    How to Build a Local AI Agent With Python (Ollama, LangChain & RAG)

    Learn how to build a local AI agent using Python, LangChain, Ollama, and ChromaDB. The project demonstrates setting up an AI to query and interpret data from a CSV file, such as restaurant reviews, using retrieval augmented generation. All processes run locally without requiring external accounts or cloud services, making it a highly accessible project.

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    Article
    Avatar of mlnewsMachine Learning News·1y

    How to Use SQL Databases with Python: A Beginner-Friendly Tutorial

    Learn how to use SQL databases with Python, focusing on MySQL. This tutorial covers environment setup, connecting to a database, and performing CRUD operations. It provides a step-by-step guide to creating databases, tables, and working with data in MySQL using Python.

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    Article
    Avatar of communityCommunity Picks·1y

    openai/openai-agents-python: A lightweight, powerful framework for multi-agent workflows

    The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows, compatible with any model providers supporting the OpenAI Chat Completions API format. It provides tools for LLM configuration, task handoffs, input/output validation, and workflow tracing. The SDK is flexible, allowing various workflows, and supports custom tracing integrations for debugging and optimizing agent behavior.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    Build an AI Agent From Scratch in Python - Tutorial for Beginners

    Learn how to build an AI agent from scratch in Python, integrating popular frameworks like LangChain and using large language models (LLMs) such as Claude or GPT. The tutorial covers setting up a virtual environment, installing dependencies, creating tools, and using API keys for different LLMs. You'll also learn how to create a structured output for the AI agent and how to write custom tools to enhance its functionality.

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    Article
    Avatar of gettingstartedaiGetting started with AI·1y

    Getting Started with AutoGen 0.4

    Learn how to create AI agent teams using AutoGen 0.4 to automatically generate YouTube shorts videos. This tutorial covers setting up the AutoGen multi-agent system, integrating APIs like ElevenLabs for text-to-speech, Stability AI for image generation, and running local LLMs with Ollama. Follow the step-by-step guide to build a multi-agent AI-powered system, where agents (Script Writer, Voice Actor, Graphic Designer, and Director) collaborate to produce a complete video from a given prompt.

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    Article
    Avatar of itnextITNEXT·1y

    AI Code Reviewer: Automate Your Code Reviews

    AI Code Reviewer is an open-source Python script from AnyMaint that uses large language models like ChatGPT and Gemini to analyze GitHub pull requests. It offers features such as automated comments, issue detection, and PR summaries. The tool can be run manually or automated through GitHub Actions. It is available under the BSD 3-Clause License and is designed to streamline code reviews for individual and team projects.

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    Article
    Avatar of hnHacker News·1y

    Self-contained Python scripts with uv

    Learn how to make Python scripts self-contained and executable by incorporating the uv tool into the shebang line. This enables the script to automatically handle dependencies and run in an isolated virtual environment, eliminating the need for manual dependency management and system clutter.

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    Article
    Avatar of dlthubdltHub·1y

    Why Iceberg + Python is the Future of Open Data Lakes

    Apache Iceberg, combined with Python, is revolutionizing data lakes by addressing issues like ACID transactions, schema evolution, and the need for open, vendor-agnostic solutions. Netflix, Apple, and Adobe are early adopters, and the technology is supported by Trino, Snowflake, and BigQuery. Iceberg's open ecosystem and composability allow seamless integration without overhauling existing systems. This approach is crucial for AI and machine learning, providing efficient and structured data for scalable and cost-effective workloads.

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    Article
    Avatar of rpythonReal Python·1y

    Python Textual: Build Beautiful UIs in the Terminal – Real Python

    Textual is a Python library designed to create sophisticated text-based user interfaces (TUIs) for the terminal. This tutorial explains how to build and enhance Textual apps using various widgets, layouts, events, and actions. It covers how to install Textual, create your first app, style the widgets with TCSS, and handle interactivity through events and actions. The framework is built on the Rich library, leveraging its capabilities to provide advanced text formatting and rendering, making it especially useful for efficient and platform-independent applications in low-resource environments.

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    Article
    Avatar of python_dev963Python Developers·1y

    2-Month Visual Roadmap To Learn Python

    Embark on a 2-month journey to master Python with a visual roadmap that provides a structured, step-by-step guide. Learn syntax, data types, loops, functions, and object-oriented programming with weekly hands-on projects to reinforce your skills. Suitable for both beginners and those looking to improve their Python knowledge, the roadmap keeps learning clear, engaging, and progress-driven.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    Learn These 3 GENUIS Python Features

    Discover three advanced Python features that can elevate your programming skills: context managers, metaclasses, and the usage of single dispatch for generic functions. Context managers help manage resources efficiently. Metaclasses define how classes are created, bringing flexibility in class behavior. Single dispatch allows for cleaner and more maintainable code by enabling function overloading based on input types.

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    Article
    Avatar of collectionsCollections·1y

    Building Full-stack AI Agents with CrewAI and CopilotKit

    CopilotKit’s open-source framework, CoAgents, facilitates the development of full-stack agentic applications with CrewAI. It offers tools to integrate UI components, manage shared states, and incorporate human feedback, enhancing AI agent performance. A tutorial is available to build an AI restaurant finder agent, covering setup, running the agent, UI integration, and real-time responses. Additional resources include a video walkthrough by CopilotKit's Co-Founder and a webinar on March 28th, with ongoing support available through their Twitter and Discord community.

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    Article
    Avatar of communityCommunity Picks·1y

    coleam00/Archon: Archon is an AI agent that is able to create other AI agents using an advanced agentic coding workflow and framework knowledge base to unlock a new frontier of automated agents.

    Archon is an innovative AI agent designed to autonomously build, refine, and optimize other AI agents. The latest version, V4, introduces a comprehensive Streamlit UI for managing Archon. The system emphasizes agentic reasoning, domain knowledge integration, and scalable architecture. It supports Docker containers, Python 3.11+, and integrates with various frameworks like Pydantic AI and LangGraph.

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    Article
    Avatar of planetpythonPlanet Python·1y

    10 Viral Tips to Learn Python Instantly 🚀

    Python remains one of the most sought-after programming languages, useful in AI, web development, and automation. Learn Python quickly with these strategies: engage in interactive courses, build mini-projects, utilize AI tools for debugging, follow structured roadmaps, gamify your learning, join Python communities, read open-source code, automate real-world tasks, take on one-day coding challenges, and stay updated with Python blogs.

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    Article
    Avatar of devblogsDevBlogs·1y

    Python in Visual Studio Code

    The March 2025 release of Python and Jupyter extensions for Visual Studio Code introduces improvements such as enhanced shell integration, a new auto test discovery file pattern setting, inline values on hover, and automatic quotation insertion for long strings. Several other enhancements and bug fixes are also included, aimed at improving the overall development experience.

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    Video
    Avatar of indentlyIndently·1y

    "chain" in Python is Awesome

    The Python itertools.chain function enables easy chaining of lists or flattening of nested lists in a memory-efficient way. By using iterators, you can avoid loading large amounts of data into memory. This function supports chaining multiple iterables together and offers a utility method to create chains from iterables. Practical examples demonstrate how to use these functions, along with insights on memory management advantages.

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    Article
    Avatar of aiAI·1y

    Want AI to Actually Understand Your Code? This Tool Says It Can Help

    CocoIndex is a tool designed to index and query your codebase, facilitating the construction of a data pipeline. It uses Tree-sitter to intelligently chunk code based on syntax and provides built-in Rust integration. The process involves reading code files, extracting extensions, chunking code, generating embeddings, and storing them in a vector database. CocoIndex supports various languages and allows users to embed code using models from Hugging Face. It leverages Postgres for managing the data index, with plans to support other databases.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    Master These 3 Software Design Principles... or Stay a Beginner

    Learn three crucial software design principles to boost your coding skills: the single responsibility principle, the open/closed principle, and the dependency inversion principle. Understand their definitions and see practical examples to illustrate how to apply these principles in Python, ensuring your code is more maintainable, scalable, and flexible. Enhance your development process and improve code quality by adhering to these tested guidelines.

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    Article
    Avatar of opensourcesquadOpen Source·1y

    OpenManus: Break Free from Invite Codes with This Open-Source ManusAI Alternative

    OpenManus is a free, open-source alternative to ManusAI, allowing users to build AI agents without invite codes. Created by the team behind MetaGPT, it offers easy setup, compatibility with various LLMs, and active development from the community. Available on GitHub, it supports Python installation and provides flexibility in choosing LLM providers.