7 Useful Python Libraries You Should Use in Your Next Project

Power up your Python development

Python is a versatile programming language that is widely used in many different fields, from data science and machine learning to web development and automation. One of the reasons for its popularity is the wealth of libraries and frameworks available to developers, which can greatly speed up the development process and provide access to powerful tools and features. In this article, we will take a look at seven useful Python libraries that you should consider using in your next project.

1. SpaCy

If you have to work with Natural Language Processing (NLP) then this is one of the best resources for you. This is a library for advanced Natural Language Processing in Python and Cython. It comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification, and more, multi-task learning with pre-trained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment, and workflow management. It has more than 24.5k stars on GitHub.

2. PyEcharts

Apache ECharts is an easy-to-use, highly interactive, and highly performant javascript visualization library Since its first public release in 2013, it now dominates over 74% of the Chinese web front-end market. Yet Python is an expressive language and is loved by the data science community. Combining the strength of both technologies, this library is born. It has more than 13k stars on GitHub.

3. Newspaper

If you have to work with articles then this is a good resource for you. This library will help you to extract metadata of news, full-text, and article. It includes lots of features like a multi-threaded article download framework, news URL identification, text extraction from HTML, summary extraction from text, and many more. It has more than 12k stars on GitHub.

4. Pyautogui

If you want to automate mouse and keyboard actions then this is a good resource for you. It allows you to programmatically control the mouse and keyboard to perform tasks such as clicking, typing, and scrolling. It is also useful for creating automated scripts and testing GUI applications. It has support for a wide range of operating systems and can be used on desktop and mobile platforms. It has more than 7.5k stars on GitHub.

5. Tablib

This is a format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. It includes several advanced features like segregation, dynamic columns, tags and filtering, seamless format import and export, etc. It has more than 4k stars on GitHub.

6. Tenacity

This is a general-purpose retrying library, written to simplify the task of adding retry behavior to just about anything. It originates from a fork of retrying which is sadly no longer maintained. This library isn’t API-compatible with retrying but adds significant new functionality and fixes a number of longstanding bugs. It has more than 4k stars on GitHub.

7. Pysal

This is a great resource if you need spatial data analysis. It provides functions for working with spatial data, such as reading and writing shapefiles, calculating distances and areas, and performing spatial clustering and interpolation. It has more than 1k stars on GitHub.

Where are some other awesome resources?

There are always new things to learn. If you want to learn more awesome python libraries please check out the below link.

That’s all for today. I believe these libraries will help you a lot in your development journey.

If you know of any other beautiful Python libraries, please share them in the comments. Until we meet again. Cheers!

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