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Towards Data Science 02/26/2020 11:23
10 Useful ML Practices For Python Developers. Fast bug-free coding. Photo by on. Sometimes as a data scientist we forget what are we paid for. We are primarily developers, then researchers and then maybe mathematicians. Our first responsibility is to develop solutions quickly which are bug-free. Since my start, I have made tremendous mistakes and thought of sharing what I see to be the most common skills for good ML engineering . Every second counts and life is too short to waste on stupid bugs and refactoring of code. Let's get started. 1. Learn to write abstract classes. Once you start writing abstract classes, you will know how much clarity it can bring to your codebase. They enforce the same methods and method names. If many people are work.

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