Asyncio in Python 3.7 and 3.8
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.
Building a Naive Bayes Text Classifier with scikit-learn
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.
Django Structure for Scale and Longevity
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.
How Can You Use Open Source Materials to Learn Python and Data Science
Discover open-source resources for learning Python and data science, explore community support, and understand the benefits of combining these skills for career growth.
A Python Implementation in Rust
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.
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.
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.
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.
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.
How to Write Deployment-Friendly Applications
Learn techniques for creating environment-agnostic Python applications that are easier to test, deploy, handle, and scale. Discover tools and best practices for structuring and configuring apps independent of their runtime environment.
JavaScript for Python Developers
Learn modern JavaScript from a Python developer's perspective, covering language basics, development tools, popular frameworks, and new features like TypeScript. Gain confidence in using JavaScript and its ecosystem.