https://yobibyte.github.io/notebooks.html notebooks are McDonalds of codeVitaly Kurin “I later saw the extensive use of notebooks everywhere, even in production, and I don’t laugh anymore. I’m scared and sad.”
What I Read: Software Engineering Best Practices for Data Scientists
https://towardsdatascience.com/software-engineering-best-practices-for-data-scientists-4c199ede6e03?gi=f6afc2a55c8a Software Engineering Best Practices for Data ScientistsA crash course on how to bridge the gap between data science and software engineeringMadison HunterMar 12 “…data scientists should be able to
What I Read: technical debt, ML pipelines
https://towardsdatascience.com/avoiding-technical-debt-with-ml-pipelines-3e5b6e0c1c93?gi=8f8c9d302be Avoiding technical debt with ML pipelinesStrike a balance between rapid results and high-quality coding.Hamza Tahir “ML practitioners in many organizations are heavily incentivized to make quick-wins to produce early
What I Read: Software Tips for Data Science
https://medium.com/swlh/software-engineering-tips-and-best-practices-for-data-science-5d85dbcf87fd Software Engineering Tips and Best Practices for Data ScienceWith great code comes great machine learningAhmed BesbesAug 28 “However, jupyter notebooks hide some serious pitfalls that may turn your coding