Starting a new project is always exciting and full of possibility, until you have to set up all of the repetitive boilerplate. Fortunately there are useful project templates that eliminate that drudgery. PyScaffold goes above and beyond simple template repositories, and gives you a toolkit for different application types that are packed with best practices to make your life easier. In this episode Florian Wilhelm shares the story behind PyScaffold, how the templates are designed to reduce friction when getting a new project off the ground, and how you can extend it to suit your needs. Stop wasting time with boring boilerplate and get straight to the fun part with PyScaffold!
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- Your host as usual is Tobias Macey and today I’m interviewing Florian Wilhelm about PyScaffold, a Python project template generator with batteries included
- How did you get introduced to Python?
- Can you describe what PyScaffold is and the story behind it?
- What is the main goal of the project?
- There are a huge number of templates and starter projects available (both in Python and other languages). What are the aspects of PyScaffold that might encourage someone to adopt it?
- What are the different types/categories of applications that you are focused on supporting with the scaffolding?
- For each category, what is your selection process for which dependencies to include?
- How do you approach the work of keeping the various components up to date with community "best practices"?
- Can you describe how PyScaffold is implemented?
- How have the design and goals of the project changed since you first started it?
- What is the user experience for someone bootstrapping a project with PyScaffold?
- How can you adapt an existing project into the structure of a pyscaffold template?
- Are there any facilities for updating a project started with PyScaffold to include patches/changes in the source template?
- What are the most interesting, innovative, or unexpected ways that you have seen PyScaffold used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on PyScaffold?
- When is PyScaffold the wrong choice?
- What do you have planned for the future of PyScaffold?
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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