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…
