Despite Python 3.7 reaching its End of Life (EOL) in June, 2023, it continues to be the second most downloaded version of Python. With no fixes forthcoming from python.org, security risks are growing as vulnerabilities continue to proliferate. But upgrading to newer versions of Python with each EOL date can be time and resource intensive – resources better spent coding new features.
This webinar will cover:
- The hidden risks of EOL in your software supply chain
- The current security state of Python 3.7
- How to minimize the time and effort associated with upgrading EOL versions
- Solutions for those that can’t upgrade due to a critical dependency, such as those on Cloudera Machine Learning (CML) who are stuck on Apache Spark
- Lessons learned from ActiveState’s Python 2.7 EOL customers
Learn how to minimize the cost of legacy languages in your organization, and plan ahead for future EOL dates without compromising security or innovation.
Watch On-Demand
Presenters:
Evan Cole, Sr. Solutions Engineer, ActiveState
Evan is a Senior Solutions Engineer at ActiveState, where he collaborates with some of the world’s top and security-focused organizations to fortify their open-source software supply chains and foster agile development. A dedicated advocate for open-source technology, Evan possesses an in-depth understanding of the Machine Learning ecosystem.
Dana Crane, Product Marketing Manager, ActiveState
With 25+ years in the software industry, Dana has both crossed and fallen into the chasm as a Product Marketer and Product Manager. When not playing basketball or writing blogs, his time is split between making products easier to use and easier to understand.
