How to ensure your Python code works on every machine

Get consistent, reproducible Python environments that eliminate "works on my machine" issues.

View in browser No coder wants to worry about reproducibility. Software should "just work" so we can all get on with our jobs.   Unfortunately, that's not the reality in far too many organizations and has even formed a large part of the current reproducibility crisis in many scientific research fields.  According to a study by Stripe, developers can spend over 17 hours per week debugging, refactoring, and fixing bad code, all of which adds up to lost productivity on the order of $300B per year. The majority of that time is spent reproducing environments in which bugs have been found.   Is software reproducibility even possible and practical? This blog provides a solution with the ActiveState Platform. Read: How To Ensure Your Code Works On Every Machine *Our upcoming Workshop for Python Developers provides hands-on experience maintaining a secure environment, being more productive, and eliminating reproducibility concerns. You are receiving this email because you signed up for the latest insights from ActiveState. Code for Thought by ActiveState is a monthly email that shares a topic handpicked for you by our Dev Content team. Received this email from a friend? Sign up here. ActiveState Software, 1000 - 1177 West Hastings Street, Vancouver, BC V6E 2K3 Unsubscribe Manage preferences