Resources

Django GDPR Cookie Consent is a cost-effective, ready-to-use Django app ensuring GDPR cookie compliance, offering easy setup, customizable design, and comprehensive functionality without recurring costs or domain limitations. It saves developers time and money compared to building a solution in-house or using expensive third-party services.

Django Paddle Subscriptions is a Django app streamlining SaaS subscription management, simplifying international tax compliance and billing through Paddle's platform. This €400 solution saves developers significant time and effort compared to building a system from scratch, offering a customizable and secure platform for scaling global SaaS businesses.

Kaggle is a leading platform for data science competitions, where users tackle real-world challenges, share datasets, and build predictive models in a collaborative environment. Now under Google, Kaggle offers a rich progression system and resources that connect and support millions of data scientists worldwide.

The Python 3 documentation provides comprehensive guidance on Python’s syntax, features, and standard library, helping users of all levels navigate the language. It includes sections like tutorials, library references, FAQs, and in-depth guides for both beginners and advanced developers.

Django is a powerful Python web framework that simplifies building complex web applications by providing ready-to-use tools like an ORM, templating engine, and admin interface. Its documentation offers step-by-step tutorials for beginners and in-depth guides for advanced developers, covering everything from basic setup to performance optimization and security.

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.

"Django 3 Web Development Cookbook" offers practical, task-based solutions for building secure, high-performance web applications using Django and Python. Covering key topics like models, views, forms, and security, this book equips developers with the tools to create scalable apps efficiently.

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.

Some folks naturally think in SQL. This book leverages the SQL design patterns to create Python code without the overheads of a database.

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.

Impractical Python Projects is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools you'll use daily. And to keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions.

A project-based approach to learning Python programming for intermediate users. Intriguing projects teach you how to tackle challenging problems with code.

"The Hitchhiker’s Guide to Python!" is a comprehensive resource for intermediate to advanced Python developers, covering best practices for writing, structuring, and deploying Python code. It provides practical guidance on web development, automation, data science, and more, making it ideal for those looking to improve their skills and grow professionally.

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.

Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time.

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.

Black is a Python code formatter that enforces consistent, PEP 8-compliant formatting, allowing developers to focus on coding rather than style. By automating code formatting, it saves time and improves efficiency with minimal configuration required.

Flask's documentation provides a comprehensive guide for building web applications, starting from installation and quick setup to more advanced topics like blueprints, testing, and deployment. It covers key components such as routing, templates, and session management, while offering detailed API references and guidance on extending Flask with community-maintained extensions.

Ansible is an open-source automation tool that simplifies IT infrastructure management and application deployment through its agentless architecture and human-readable playbooks. By automating tasks like resource provisioning, configuration management, and continuous delivery, Ansible empowers DevOps teams to streamline their operations and improve efficiency.

tox is an automation tool designed for Python projects that standardizes and simplifies the testing process by running tests in isolated virtual environments across multiple Python versions and configurations. With features like dependency management and CI integration, tox ensures consistent, reproducible test results, making it an essential resource for developers aiming to maintain code quality.

Pandas is a fast and flexible Python library designed for efficient data manipulation, offering powerful tools like the DataFrame for handling structured data, reshaping, and handling missing values. It supports various data formats and excels in performance, making it widely used across industries for real-world data analysis.