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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.
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.
Hugging Face Transformers provides pre-trained, state-of-the-art machine learning models for diverse tasks like NLP, computer vision, and audio, enabling quick implementation without extensive training. With multi-framework support and export options, it promotes flexibility and efficient deployment, accelerating model development across various modalities.
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.
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.
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.
Python Insider is the official blog run by the Python core development team. It shares updates about new releases, upcoming features, and news from the Python community.
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.
Django Messaging is a lightweight, extensible Django app for adding private messages, group chats, and embeddable chat rooms with a reliable feature set and predictable integration. It offers real-time conversations via WebSockets or polling, instant delivery with features like read receipts, a fully customizable UI, and easy integration into any Django project.
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.
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.
TensorFlow is a versatile, open-source machine learning library developed by Google, offering tools and features for building and deploying AI models across diverse platforms. Its comprehensive ecosystem supports tasks like neural network training and natural language processing, empowering developers to create scalable AI-driven solutions with high-level APIs and specialized components for mobile and web deployment.
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.
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.
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.
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.
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.
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.
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.
Uvicorn is a high-performance, asynchronous Python ASGI server built for modern web applications using frameworks like FastAPI and Starlette, offering superior speed and efficiency compared to traditional WSGI servers. It supports WebSockets, HTTP/2, and is commonly used with Gunicorn in production for multi-process scaling and easy integration with reverse proxies.
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 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
Some folks naturally think in SQL. This book leverages the SQL design patterns to create Python code without the overheads of a database.
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