
Learn to create, generate, host, and automate up-to-date API documentation using Sphinx and GitHub Actions, integrating it seamlessly into your software development lifecycle.

Discover how to optimize Python code performance using Numba, a JIT compiler for numerical calculations. Learn when and how to apply Numba effectively to speed up math-heavy code in data science and development projects.

Learn to enhance Python functions using decorators. Explore their inner workings, create custom decorators, and discover how they simplify code and improve readability in popular libraries and frameworks.

Comprehensive guide to object-oriented programming in Python, covering design, inheritance, special methods, and converting procedural code to OOP through practical examples.

Aprenda a criar um pacote Python usando programação literária, combinando explicações em linguagem natural com código. Explore ferramentas como Jupyter Notebooks e Nbdev para desenvolvimento eficiente e documentação integrada.

Learn to create serverless Python web apps using PyScript. Explore project setup, data handling, DOM manipulation, JavaScript integration, and optimization techniques for browser-based Python development.

Learn to create interactive GUIs and web apps using streamlit in Python. Hands-on exercises cover basics, data visualization, custom layouts, and integration with popular libraries for effective data science projects.

Explore feature engineering techniques for data visualization, automation, and machine learning. Learn to create and select features from various data types using encodings, vectorization, and date manipulation.

Learn techniques for analyzing and visualizing massive datasets using Python libraries like Dask and hvPlot. Explore efficient data formats, parallel computation, cloud resources, and interactive visualization for large-scale data science projects.

Learn to build modern web apps using Python, HTMX, and Tailwind CSS. Simplify development with hypermedia-driven architecture and streamlined design processes.

Learn to create a robust GraphQL API with Python and Strawberry, focusing on authentication, performance, and type safety. Explore real-time APIs and frontend integration using Django.

Hands-on tutorial for Python users to master SQLite, covering advanced SQL features, data manipulation with sqlite-utils, and exploration using Datasette. Learn to build and deploy data applications.

Explore Python comprehensions: learn to write and utilize list, set, and dict comprehensions, nested comprehensions, and generator expressions. Understand their advantages over regular loops.

Explore unconventional programming concepts and their pitfalls in Python, from magic methods to monkey patching, with insights on when to use or avoid these techniques.

Explore a cutting-edge visual and interactive programming environment, enhancing code comprehension and development efficiency through innovative graphical representations.

Build APIs for mobile using Python, focusing on iPhone integration. Learn techniques for efficient data exchange between server and mobile devices.

Learn valuable lessons and best practices for effective API design from an experienced developer's insights and real-world examples.

Explore advanced pickling techniques using Stackless Python and sPickle, enhancing data serialization and deserialization for improved performance and functionality.

Explore advanced generator techniques in Python, including coroutines, enhanced generators, and their practical applications for efficient and elegant code design.

Learn to create a robust hosting platform using Python, exploring key concepts, best practices, and practical implementation strategies for scalable and efficient web infrastructure.

Learn strategies for developing high-performance web applications that can handle increased traffic and user loads efficiently, ensuring optimal functionality and user experience.