Python Libraries
Python is a powerful programming language with numerous libraries that can make your coding journey smoother. Here are some Python libraries that can enhance your development process and bring efficiency to your projects.h2 - HTTP/2 support. (Optional, with httpx[http2])
Enhance Your Python Skills with These 20 Awesome Libraries
an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices. https://github.com/pytorch/executorch
Managing dates and times can be tricky, but with pendulum, it becomes a breeze. This library offers a simple and intuitive interface for performing date and time computations, making it a must-have for any Python developer. Whether you're working on scheduling tasks or handling time-sensitive operations, pendulum will be your trustworthy companion. https://pendulum.eustace.io
PyPDF is a remarkable open-source Python library tailored for PDF manipulation. From reading and splitting PDF files to merging and adding custom data or watermarks, PyPDF simplifies your interactions with PDF documents. Whether you're dealing with financial reports, e-books, or legal documents, PyPDF has got you covered. https://pypi.org/project/pypdf/
Despite its ambiguous name, the ice cream library is a valuable asset for dealing with contracts, invoices, and various documents in your Python projects. It simplifies the debugging process with syntax highlighting and function argument inspection. Use it to streamline document processing, especially for legal and financial applications. https://github.com/gruns/icecream
Log guru is your go-to companion for logging., while the log guru library enhances logging by enabling direct logger import and customized log message styles. https://github.com/Delgan/loguru
Explore four essential libraries that can ramp up your Python productivity: logging, Rich, argparse, and Tqdm. Harness the built-in functionality of the logging library, create visually appealing terminal output with the Rich library, build robust command-line interfaces with argparse, and track code execution progress with the Tqdm library. https://docs.python.org/3/library/argparse.html
Delve into the world of data analysis and visualization with three potent libraries: Xarray, tailored for multi-dimensional labeled data, is a boon for scientific computing. https://github.com/pydata/xarray
Written in Rust, and designed for handling large datasets and heavy computational tasks. Polars uses a parallel execution engine for performance and it is great for data wrangling. Use Polars to optimize your data analysis workflow. Many developers use as performance alternative to pandas https://www.pola.rs
Seaborn simplifies statistical data visualization and empowers you to create visually stunning charts and graphs effortlessly. Seaborn offers a rich toolkit for customizing and beautifying your charts and graphs. With its versatile themes, color palettes, and customization options, Seaborn makes the process of creating aesthetically pleasing visualizations a delightful experience. https://seaborn.pydata.org/tutorial/i...
Embrace a structured approach to error handling with the result library, which follows the principles of railroad oriented programming. By leveraging the Result library, you can effectively manage various error scenarios and maintain a more organized codebase, ensuring smoother troubleshooting and debugging. https://pypi.org/project/result/
Python's native support for concurrency, async/await, and type annotations presents a powerful arsenal for building robust and efficient applications. With seamless integration of type annotations for return types and input argument validation, Pydantic allows developers to create reliable and maintainable code. https://docs.pydantic.dev/latest/
Fast API emerges as a valuable tool for building full-fledged applications, offering automatic documentation generation and seamless integration with modern technologies like Swagger UI and Redoc. https://fastapi.tiangolo.com
built on modern Python type annotations, simplifies relationships definition and contributes to a seamless development experience. It is based on python annotations, and powered by Pydantic and SQLAlchemy https://sqlmodel.tiangolo.com
https://github.com/encode/httpx
Python-dotenv provides a flexible approach to managing environment variables, allowing you to keep sensitive information, such as API keys and credentials, separate from your codebase. By adopting Python-dotenv, you can enhance security and maintain a more organized code structure. Always use packaging when deploying https://saurabh-kumar.com/python-dotenv/
Prebuilt components of data pipelines this includes visualization, management tools, scenario and data management capabilities Designed to streamline the development of production ready frontend and backend applications https://github.com/Avaiga/taipy
Python's vast library ecosystem is a treasure trove for developers, offering a diverse array of tools and utilities to streamline their workflow. By mastering these Python libraries, you can elevate your coding prowess and build remarkable applications with ease.