
Aprenda a criar e implantar aplicativos web Python no Azure usando Docker e Visual Studio Code. Explore notebooks Jupyter hospedados e armazenamento de dados com CosmosDB. Ideal para iniciantes em nuvem e contêineres.

Explore MicroPython's unique features for programming microcontrollers, including optimizations, language differences, and key skills for IoT device development.

Explore the journey of submitting a Jupyter Enhancement Proposal, from conception to implementation, and learn about programmatic notebook conversions using custom metadata and templates.

Learn to identify and eliminate code smells in Python, mastering the art of refactoring for cleaner, more maintainable, and Pythonic code. Discover practical tips for implementing refactoring in your development process.

Explore real-world asyncio implementation in production, addressing migration challenges, performance impacts, and practical insights for mission-critical systems.

Optimizing Python applications with Rust: Learn to integrate Rust code for improved performance without users noticing, using tools like cbindgen, CFFI, and Milksnake.

Explore reno, a tool for managing release notes in multi-branch projects. Learn its design, usage, and impact on project and release processes.

Explore efficient techniques for handling large columnar datasets using Pandas and Dask with Apache Parquet, including partitioning, row group skipping, and optimized data layout for faster queries.

Explore Postgres performance optimization techniques, from basic app developer interactions to advanced strategies for efficient database management as your application scales.

Learn to transform ideas into well-structured software projects using Object-Oriented Analysis and Design principles. Gain insights on creating clean, extendable architectures and making informed decisions about project development.

Explore techniques for building reliable distributed systems, including monitoring strategies, failure prevention, and recovery methods for microservices and APIs communicating with various dependencies.

Discover efficient data processing with Pandas through real-world examples, from SVG stroke extraction to letter composition, showcasing improved performance and code maintainability.

Learn strategies and tools for upgrading large Python 2 projects to Python 3, based on a real-world case study of modernizing a 65,000-line Django codebase. Gain practical insights for a smooth transition.

Evaluación de bibliotecas Python para cálculos científicos, enfocada en rendimiento, simplicidad, confiabilidad y portabilidad. Experiencias y lecciones aprendidas en la Fundación GEM.

Explore recursion through fractals using Python's Turtle module. Learn to create psychedelic designs, understand natural patterns, and discover a fun tool for teaching coding concepts.

Explore new asyncio features in Python 3.7 and upcoming enhancements in 3.8, including performance improvements, usability updates, and innovative APIs for asynchronous programming.

Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.

Explore Django project structuring for scalability and longevity, covering service layers, DRF best practices, and effective testing strategies. Gain insights from real-world experiences to enhance productivity and code quality.

Explore Italy's shift from SOAP to REST APIs, focusing on standardization, availability strategies, and contract-first approaches for building an interoperable European API ecosystem.

Discover open-source resources for learning Python and data science, explore community support, and understand the benefits of combining these skills for career growth.

Explore the rspython project, which aims to implement a Python interpreter in Rust. Learn about the challenges, opportunities, and current state of this innovative approach to Python development.