Testing Microcontroller Firmware with Python
Learn to create integration tests for microcontroller firmware using Python and CFFI, enabling faster execution and advanced security testing without requiring target hardware.
Protocols and Practices Enforcing in Python Through Bytecode and Inspection
Explore Python's bytecode and inspection capabilities to enforce protocols and best practices in third-party code, ensuring adherence to design philosophies and preventing misuse of libraries.
Meson - Compiling the World with Python
Explore Meson, a Python-based build system designed for faster, simpler, and more efficient cross-platform software compilation, with built-in support for various development tasks.
Mock it Right! A Beginner’s Guide to World of Tests and Mocks
Explore unit testing with mocks and patches, covering best practices, common mistakes, and practical examples for beginners and experienced developers alike.
Front-End Testing with Python
Explore Python-based front-end testing techniques using Selenium and Needle. Learn best practices for browser automation, visual regression testing, and concurrent test execution.
But How Do You Know Your Mock Is Valid? Verified Fakes of Web Services
Explore verified fakes for web services, ensuring mock validity through periodic tests. Learn to create accurate representations using pytest, Travis CI, requests, and Responses for reliable software testing.
Testing in Layers
Explore modular, layered testing strategies for efficient software development, from unit tests to end-to-end integration, emphasizing automation and rapid problem identification in DevOps environments.
Skynet Your Infrastructure with QUADS
Explore automated infrastructure management with QUADS, a Python-based tool for scheduling and provisioning large-scale systems and networks, enhancing DevOps efficiency and documentation.
Django - From a Nightmare to a Dream with Best Practices
Discover best practices for refactoring legacy Django code, improving maintainability, and implementing tools for safer deployments and continuous integration.
CyberSecurity.bootcamp
Explore cybersecurity essentials for Python applications, covering threat modeling, attack vectors, security testing, and best practices to protect your servers from malicious threats.
Big Data Analytics at the MPCDF - GPU Crystallography with Python
Explore GPU-accelerated Python for big data analytics in atom probe crystallography, focusing on Fourier spectral analysis, scalability across multiple GPUs, and interactive visualization techniques.
Automating Instagram with Python and Selenium
Explore Instagram automation using Python and Selenium, learning about open-source project growth, tackling challenges, and implementing the Page Object design pattern for effective social media automation.
A Faster Python? You Have These Choices
Explore options for optimizing Python performance, from C extensions to PyPy. Learn trade-offs between speed and code maintainability, with real-world examples and benchmarks.
Fixture Factories for Faster End-to-End Tests
Explore fixture factories for faster end-to-end tests in service-oriented architectures. Learn implementation techniques, pytest integration, and benefits like improved maintainability and parallel test execution.
When Django is Too Bloated - Specialized Web-Applications with Werkzeug
Explore Werkzeug, a lightweight Python HTTP/WSGI utility, for building flexible web applications. Learn how to create custom stacks beyond traditional frameworks for specialized needs.
Finding Bugs for Free - The Magic of Static Analysis
Explore static analysis techniques for Python to improve code quality and find bugs without annotations. Learn about LGTM's powerful tools and their applications.
Rethinking How We Build HTTP APIs
Explore a minimalist approach to building HTTP APIs using Pico, a framework focused on simplicity and flexibility. Learn about its evolution and key features for creating efficient, self-describing APIs.
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.
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.
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.
Exploring the Python AST Ecosystem
Dive into Python's abstract syntax tree ecosystem, exploring tools for visualization, creation, and transformation. Learn practical applications in static analysis and metaprogramming for enhanced code manipulation.