So in the last few weeks I've slowly been putting all my code into a Python package on PyPI. (Links: GitHub project, PyPI.)
It's still pretty buggy--hence the pre-alpha designation--and it's not as extensively built-out as some of my older code, but it's under active development and hopefully will pass the old code before long.
I took on this project for two reasons:
I can't claim all my tips here are 100% good practice, but they got things to work. Getting things to work was surprisingly frustrating once my project became nontrivial.
Below, I listed some pain points that I learned how to handle. Reminder: you can see the code on GitHub if you want specifics or to see the fixes in context.
It's still pretty buggy--hence the pre-alpha designation--and it's not as extensively built-out as some of my older code, but it's under active development and hopefully will pass the old code before long.
I took on this project for two reasons:
- As a public service for people who want to do everything in Python. (Python is a great general-purpose language to learn, though for any given specific task there's probably a superior option, like R, Julia, or C++.)
- To teach myself some software engineering-related skills.
I can't claim all my tips here are 100% good practice, but they got things to work. Getting things to work was surprisingly frustrating once my project became nontrivial.
Below, I listed some pain points that I learned how to handle. Reminder: you can see the code on GitHub if you want specifics or to see the fixes in context.
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