Is Your Code Tainted? Finding Security Vulnerabilities Using Taint Tracking
Discover taint tracking for identifying security vulnerabilities in code. Learn about sources, sinks, and sanitizers, and see a practical demonstration using a Django app.
How to Make Money Using Python - Unused Potential in the Enterprise World
Explore untapped Python opportunities in enterprise applications, leveraging its advantages over Java, C++, and C# for business success and market growth.
Succinct Data Structures for Python
Explore succinct data structures in Python: efficient representations of objects like bitvectors and trees, with practical examples and a call for community involvement.
Marge - A Bot for Better Git'ing
Discover Marge-bot, an innovative tool enhancing Git workflows by testing pull requests against target branches and offering additional conveniences for improved Continuous Integration practices.
Developing in a Black Hole - Vim, Tmux, Httpie and Jq
Explore vim, tmux, httpie, and jq for a streamlined, keyboard-centric development environment. Boost productivity with powerful terminal-based tools and techniques.
The Rise of Python in the Data Communities
Explore Python's growing influence in data-driven industries, its impact on the ecosystem, and future challenges in scaling for massive data processing.
Python and Web Sockets
Explore bi-directional communication in web apps using Web Sockets, with implementations in Tornado and Django frameworks. Includes live demo and practical use cases.
Code Review Skills for Pythonistas
Improve code review practices with empathy, Python tools, and style guidelines beyond PEP 8. Learn techniques for better team collaboration and maintaining complex codebases.
Cython to Speed Up Your Python Code
Discover how to significantly accelerate Python code using Cython, a powerful tool that translates Python to C/C++, enabling static optimizations and seamless integration of Python, C, and C++ features.
Asyncio in Practice - We Did It Wrong
Explore common pitfalls and best practices in asyncio programming, including avoiding callback hell, ensuring thread safety, and achieving true concurrency in Python.
Getting Started with Mypy and Type Checking
Learn how to introduce type checking in Python projects using mypy, with insights from Dropbox's experience in annotating large codebases. Discover step-by-step approaches to improve code clarity and catch bugs early.
More Than You Ever Wanted to Know About Python Functions
Dive deep into Python functions, exploring parameters, closures, methods, callables, introspection, and bytecode. Gain advanced insights and practical techniques for mastering function usage in Python.
Django Queries Optimization
Optimize complex Django queries by moving selection logic, calculations, and aggregations to the database, improving performance and maintainability of your web applications.
Type Annotations with Larger Codebases
Practical strategies for implementing type annotations in large Python codebases, addressing challenges, best practices, and solutions for common roadblocks encountered during the process.
10 Years of EuroPython and the Python Community
A journey through a decade of EuroPython conferences, exploring the evolution of Python, its community, and the event itself, with insights and aspirations for the future.
PEP 557 Versus the World
Exploración profunda del módulo dataclasses de Python 3.7, comparándolo con alternativas existentes y analizando su diseño, propósito y beneficios para los desarrolladores.
Proper Django Testing
Learn effective Django testing strategies to improve development speed and maintain project quality. Covers unit testing, mocking, project structure, and other testing methods.
Hello to the World in 8 Web Frameworks - Micro, Batteries Included & Async
Explore 8 Python web frameworks in a whirlwind tour, comparing microframeworks, "batteries included" options, and async frameworks. Broaden your horizons with practical examples and Jules Verne-inspired fun.
Standardize Testing in Python
Discover tox: an open-source tool for standardizing Python testing, simplifying CI processes, and ensuring high-quality, maintainable packages across various environments.
Microservices and Serverless in Python Projects
Explore microservices and serverless architecture in Python, focusing on AWS Lambda. Learn advantages, use cases, and practical implementation using frameworks like Chalice and Zappa.
May the Fuzz Be with You
Explore how LSTM neural networks and Python can generate AI-driven test inputs for software testing and network security, improving upon traditional fuzzing techniques.