Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

This package, too, mimicked the name of a popular Python library, named "colorama." According to the PyPI Stats service, 54 users had downloaded the package a month before it was taken down.

Similar incidents have happened in September 2017 (ten libraries), May 2018 (one library), October 2018 (12 libraries), December 2018 (18 libraries) and July 2019 (three libraries).

Python Libraries are collections of pre-written code that provide functionality for specific tasks, simplifying programming and development. In this post, we are going to see how you can install ...

The malicious code was intended for use with Python 2.x, and it generated errors when used in Python 3.x applications. This is how users discovered its presence while debugging their apps.

Also, there is no 64-bit binary; you’ll need to install the 32-bit edition of Python to use it. Finally, NLTK is not the fastest library either, but it can be sped up with parallel processing.

Anaconda’s part These features come from famous Anaconda package, a liked Python library place. This hub has many helpful Python parts and tools, vital for various data jobs.