Protocols in Python - Why You Need Them
Discover the power of Protocols in Python, their advantages over Abstract Base Classes, and how they can enhance your code quality and maintainability.
From Pip to Poetry - Python Ways of Packaging and Publishing
Explore Python package management evolution, from pip to poetry. Learn to create, share, and publish packages efficiently, choosing the best tool for your needs.
My Journey Using Docker as a Development Tool
Explore Docker for Python development, from basic images to advanced techniques. Learn to dockerize a FastAPI service, manage dependencies, run tests, and optimize for production environments.
Elephants, Ibises and a More Pythonic Way to Work with Databases
Explore a Pythonic approach to database interactions using Ibis, comparing it with traditional SQL methods and showcasing its versatility across various database engines.
The Beginner’s Data Science Project Checklist
Aprenda dicas essenciais para projetos de ciência de dados, desde definição de requisitos até apresentação de resultados, com foco em reprodutibilidade, documentação e ferramentas Python úteis.
Property-Based Testing the Python Way
Explore property-based testing with Hypothesis in Python, comparing it to traditional approaches and learning when to apply this powerful technique for more robust software testing.
What Happens When You Import a Module
Explore the intricate process of Python module imports, including file discovery, loading mechanisms, and customization options. Gain insights into finders, loaders, and the inner workings of this fundamental feature.
Taking Charge of Your Race Conditions
Explore techniques for testing and managing race conditions in concurrent programming, focusing on Python tools and strategies to identify, reproduce, and resolve these challenging scenarios.
Using Python to Manage Software Bill of Materials
Learn to create and manage Software Bill of Materials (SBOMs) using Python, enhancing software security and compliance tracking in complex development environments.
Automate the Boring Stuff with Slackbot - Ver. 2
Learn to create a Slackbot using Bolt for Python to automate tasks like emoji reactions, calculations, issue tracking, and account management. Explore practical examples and API integrations.
How I Wrote a Python Client for HTTP - 3 Proxies
Explore the development of a Python client for HTTP/3 proxies using MASQUE protocol, covering proxy design, HTTP versions, and asyncio implementation challenges.
Common Python Mistakes with Kubernetes - How They Can Cause Vulnerabilities and How to Solve Them
Explore common Python vulnerabilities in Kubernetes deployments, their potential impacts, and effective mitigation strategies using tools like Falco, TUF, Open Policy Agent, and Bandit.
ShapePipe - A Modular Weak-Lensing Processing and Analysis Pipeline
Explore a Python-based pipeline for analyzing weak gravitational lensing, aiding cosmologists in understanding dark matter and dark energy through precise galaxy shape measurements.
Simple Data Validation and Setting Management with Pydantic
Learn efficient data validation and setting management using Pydantic. Explore models, validators, and converters with real-life examples to enhance code readability and prevent processing errors.
Memory Problems, Did Collector Forget to Clean the Garbage?
Explore Python memory management, common errors, and optimization techniques. Learn about CPython's allocation, garbage collection, and practical ways to improve code efficiency.
Self-Explaining APIs
Strategies and tools for creating semantically interoperable REST APIs, including contract-first development, RDF processing, and centralized catalogs. Ideal for those with API design experience.
Async Django
Explore asynchronous programming in Django, covering key concepts, tools, efficient practices, and Django's async request handling from NGINX to database operations.
Scaling scikit-learn - Introducing New Sets of Computational Routines
Discover recent performance improvements in scikit-learn, exploring computational patterns, new routine implementations, and future hardware-specialized developments for enhanced machine learning efficiency.
Debugging Asynchronous Programs in Python
Explore powerful debugging techniques for asynchronous Python programs, including asyncio debug mode, tracebacks for unhandled exceptions, and monitoring tools for enhanced development efficiency.
Lessons Learnt from Building My Own Library
Insights and lessons from a developer's journey in creating a Python library, covering decision-making processes, common pitfalls, and valuable experiences for aspiring library creators.
Synergize AI and Domain Expertise - Explainability Check with Python
Explore model explainability using SHAP algorithm in Python, focusing on building trustworthy AI models and integrating domain expertise for practical industry applications.