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Explore how Pydantic V2 utilizes Rust to enhance performance, extensibility, and maintainability in data validation. Learn about architecture changes and real-world trade-offs in combining Python and Rust.
Enhance Python development with VS Code and Dev Containers for a streamlined, portable, and efficient coding experience. Learn to set up and leverage these powerful tools.
Pythonic introduction to MQTT protocol for connected devices. Learn basic concepts, code examples in CPython and Micropython, and explore use cases in automation and microcontrollers.
Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
Learn to build a Python test automation project using Playwright and pytest. Covers installation, configuration, interactions, and advanced features for efficient web app testing across different browsers.
Explore tools and practices for effective developer collaboration, including documentation, version control, auto-linting, and dependency management. Enhance teamwork and solo productivity.
Hands-on tutorial exploring Ray Core APIs for distributed Python applications, covering remote functions, actors, and design patterns for efficient parallel computing.
Explore object-oriented programming by modeling signals and waves, covering inheritance, delegation, magic methods, and the Iterator Design Pattern in Python.
Learn knowledge graph data modeling with TerminusDB. Gain skills to construct schemas, store data in graph format, and use WOQL query language. Ideal for data scientists and researchers seeking new data representation insights.
Learn to create effective documentation, from docstrings to automated builds. Explore best practices, tools like Sphinx and JupyterBook, and automate with GitHub Actions for maintainable, user-friendly project documentation.
Hands-on introduction to Python type annotations, covering basic concepts and advanced features. Practice adding types to real code and using type checkers to catch bugs early in development.
Discover property-based testing with Hypothesis to write more robust and efficient tests. Learn to define input types, create generalized tests, and uncover hidden bugs in your Python code.
Explore WebAssembly integration with Python, covering its binary code format, implementation in browsers, and development of a small compiler with Wasm as the target.
Learn network analysis fundamentals using diverse datasets. Explore construction, summarization, visualization, and problem-solving with complex networks. Gain insights applicable to social media, epidemiology, and more.
Scaling open source documentation localization: Kubernetes' journey from zero to eleven languages, covering tools, workflows, standards, and community conduct for successful project localization.
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