Every software project is subject to a series of decisions and tradeoffs. One of the first decisions to make is which programming language to use. For companies where their product is software, this is a decision that can have significant impact on their overall success. In this episode Sean Knapp discusses the languages that his team at Ascend use for building a service that powers complex and business critical data workflows. He also explains his motivation to standardize on Python for all layers of their system to improve developer productivity.
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- Your host as usual is Tobias Macey and today I’m interviewing Sean Knapp about his motivations and experiences standardizing on Python for development at Ascend
- How did you get introduced to Python?
- Can you describe what Ascend is and the story behind it?
- How many engineers work at Ascend?
- What are their different areas of focus?
- What are your policies for selecting which technologies (e.g. languages, frameworks, dev tooling, deployment, etc.) are supported at Ascend?
- What does it mean for a technology to be supported?
- You recently started standardizing on Python as the default language for development. How has Python been used up to now?
- What other languages are in common use at Ascend?
- What are some of the challenges/difficulties that motivated you to establish this policy?
- What are some of the tradeoffs that you have seen in the adoption of Python in place of your other adopted languages?
- How are you managing ongoing maintenance of projects/products that are not written in Python?
- What are some of the potential pitfalls/risks that you are guarding against in your investment in Python?
- What are the most interesting, innovative, or unexpected ways that you have seen Python used where it was previously a different technology?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on aligning all of your development on a single language?
- When is Python the wrong choice?
- What do you have planned for the future of engineering practices at Ascend?
Keep In Touch
- Thank you for listening! Don’t forget to check out our other shows. The Data Engineering Podcast covers the latest on modern data management. The Machine Learning Podcast helps you go from idea to production with machine learning.
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