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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.
Daphne is an ASGI server written in Python that allows Django applications to handle real-time communication via HTTP, HTTP2, and WebSockets, commonly used with Django Channels. Built on Twisted, it bridges web clients and Django, supporting deployments with reverse proxies for scalable, bidirectional interactions, enabling features like chat and live updates.
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.
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.
"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.
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.
Weekly Django news, articles, projects, and more.
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.
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.
Gunicorn is a Python WSGI HTTP server ideal for deploying synchronous web applications like Django and Flask, leveraging a pre-fork worker model for scalability and performance. It's easy to configure and often paired with reverse proxies like Nginx for enhanced performance and load balancing, offering various worker types to optimize application needs.
Hypercorn is a versatile Python ASGI/WSGI server, inspired by Gunicorn and built on Quart, offering flexible deployment options with support for multiple worker types and modern protocols like HTTP/3 and QUIC. It excels in handling WebSockets, HTTP/2, and long-lived connections, making it a powerful choice for real-time web applications and seamlessly integrates with reverse proxies for production environments.
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.
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.
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.
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.
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.
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.
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.
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.
A free, weekly email newsletter for those interested in Python development and various topics around Python and the community.
- AsyncIO
- BytesIO
- Django
- Django REST Framework
- Duck Typing
- Enumerations
- FastAPI
- Flask
- Multiprocessing
- nox
- NumPy
- Pandas
- pdb
- PEP
- Pipx
- Poetry
- Polars
- Pydantic
- pyproject.toml
- PyPy
- Python
- Reflex
- SQLAlchemy
- String Interpolation
- unittest
- Wagtail
- Crawlee
- Data Visualization
- DuckDB
- LLM
- MongoDB
- PostgreSQL
- Sigstore
- Sqlite
- VSCode
- R
- Rust
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.
PyTorch is a user-friendly, open-source machine learning library, primarily developed by Facebook, that provides a dynamic platform for building and experimenting with deep learning models in areas like NLP and computer vision, leveraging GPU acceleration for efficient tensor computations. Its dynamic computational graph and high-level APIs, alongside strong community support, make it a popular choice for researchers and developers seeking flexibility and rapid prototyping in AI.
A project-based approach to learning Python programming for intermediate users. Intriguing projects teach you how to tackle challenging problems with code.
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