Data Sheets

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 is Jan 1, 2020. Get commercial 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.

Use this checklist to assess which language best fits your environment, what resources are required to support the selected language and whether or not to outsource support.

This Use Case discusses how you can apply Machine Learning (ML) to the data you’re collecting throughout your DevOps chain in order to detect anomalies, predict system failures, determine root causes, and more.

Python 2 will soon be unsupported. This paper discusses your options for moving your existing packages and applications from Python 2 to 3, along with best practice guidelines.