Software Engineering

What are the good software engineering practices for Machine Learning developers?
Software Engineering - Infrastructure and Tooling


  • Python is the clear programming language of choice.
  • Visual Studio Code makes for a very nice Python experience, with features such as built-in git staging and diffing, peek documentation, and linter code hints.
  • PyCharm is a popular choice for Python developers.
  • Jupyter Notebooks is the standard tool for quick prototyping and exploratory analysis, but it is not suitable to build machine learning products.
  • Streamlit is a new tool that fulfills a common need - an interactive applet to communicate the modeling results.