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.
Iteration Inside Out - Python's Iteration Protocol
Explore Python's iteration protocol, from basic loops to creating custom iterables and iterators, enhancing your understanding of this fundamental concept for more efficient coding.
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.
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.
Industrial Machine Learning Pipelines with Python & Airflow
Learn to build scalable, distributed machine learning data pipelines using Airflow with Celery backend. Gain insights on industry challenges, comparisons with other technologies, and practical knowledge for implementation.
Understanding and Applying CQRS
Learn to implement Command Query Responsibility Segregation (CQRS) in Python using Nameko framework to enhance database performance and scalability in high-traffic applications.
Mocks, Dummies, Stubs & Spies
Explore testing doubles in Python: mocks, fakes, dummies, stubs, and spies. Learn their differences, use cases, and implementation techniques for effective unit testing and dependency isolation.
Debugging Your Code with Data Visualization
Explore debugging techniques using data visualization tools to understand complex code behavior, illustrated with real-world examples from AWS CLI and boto3 development.
Processing Geodata Using Python and Open Source Modules
Learn to analyze, manipulate, and visualize geospatial data using Python and open-source modules like Shapely, Fiona, rasterio, and GeoPandas. Explore vector and raster data handling, spatial reference systems, and map creation.
Writing Good Error Messages
Learn to craft clear, actionable error messages for better code readability and user experience. Explore common pitfalls and effective techniques for writing informative error messages in Python.
Creating a Culture of Software Craftsmanship
Explore strategies to manage software complexity, prevent common pitfalls, and foster a culture of craftsmanship for sustainable development and improved project outcomes.