Coding habits for data scientists

While this may be fine for notebooks targeted at teaching people about the machine learning process, in real projects it's a recipe for unmaintainable mess. The lack of good coding habits makes code hard to understand and consequently, modifying code becomes painful and error-prone. This makes it increasingly difficult for data scientists and developers to evolve their ML solutions. In this article, we'll share techniques for identifying bad habits that add to complexity in code as well as habits that can help us partition complexity.