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A collection of curated tips, tricks, and code snippets focused on web development with the Django framework, created by Aidas Bendoraitis. Covering everything from backend and frontend development to testing and deployment, it offers practical, shareable insights for developers of all levels.
TestDriven.io offers a comprehensive, hands-on platform that teaches developers of all levels how to build robust web applications using Test-Driven Development (TDD) and modern technologies like Python, React, and AWS. Students gain practical experience through expert-led tutorials, community support, and real-world examples, enabling them to immediately apply their skills and build high-quality, testable code.
uv is a lightning-fast Python package and project manager, written in Rust, that replaces tools like pip and poetry while offering 10-100x speed improvements. It supports multiple Python versions and advanced project management, providing a flexible, high-performance solution for developers.
Refactoring.Guru is a resource for developers to learn and implement design patterns, proven solutions to common software design problems, offering a catalog of 22 classic patterns explained with Python examples. The site details the intent, usage, and benefits of each pattern, helping developers improve software architecture and build more efficient, scalable systems.
The Quick Python Book, Fourth Edition is the definitive guide to the Python language, written by Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. You’ll learn skills you can turn to doing almost anything with Python—from analyzing data, to writing scripts, and even developing software. Plus, quick-check questions, end-of-chapter labs, and a final case study all help consolidate your knowledge.
Jupyter Notebook is an open-source web application that enables users to create and share documents containing live code, equations, and visualizations, supporting over 40 programming languages. Its advanced version, JupyterLab, provides a more flexible environment, making both tools ideal for data science, machine learning, and scientific computing tasks across various industries and research fields.
Weekly Django news, articles, projects, and more.
Polars is a high-performance, open-source data manipulation library written in Rust that utilizes multi-threading and vectorized processing to enable fast and efficient data wrangling. Its user-friendly API, Apache Arrow integration, and out-of-core capabilities simplify complex tasks while optimizing performance on both small and large datasets.
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