Data Sheets

Python Cheatsheet to learn clever machine learning tricks for predictive analysis, Scikit-Learn, Jupyter notebooks, data visualization and Pandas.

If organizations had a single package management solution that could work with multiple OS’s and languages, and even coordinate deployment across multiple systems, they could significantly reduce overhead and friction across their entire software development lifecycle.

Has your business model been impacted by COVID-19? This datasheet explains how Activepython can allow you to quickly react to such disruptions.

Financial institutions are investing in Machine Learning (ML) in order to deal with ever-expanding volumes of data that traditional analytical methods can’t deal with. Learn where Python and machine learning steps in!

Regular expressions or RegExes syntax can be hard to recall. Check out our “Python RegEx Cheatsheet” to help point you in the right direction when building RegExes in Python.

This infographic shows the essentials of Machine Learning that matter to every Python beginner. Click to download the machine learning executive guide for free!

Python 2 EOL occurred on Jan 1, 2020. Get extended support for Python 2 including security fixes, updates and support for your third-party packages.

Keep your open source language distributions up to date and consistent across teams at scale, fast. Build your open source language distribution in minutes, not months with the ActiveState Platform.

Over the past two decades, the use cases for Python have grown. This paper covers 10 of the most common use cases by industry for Python that we’ve witnessed implemented by our customers.