What physics prepares you for, what it doesn't, and how to make the jump into data science without pretending your degree was something it wasn't.
Applying data science habits to personal money: measure first, look at distributions, beware of survivorship bias and automate the boring parts.
Duplicates, missing values, five spellings of the same city and dates in three formats. The unglamorous work that decides whether your analysis is right.
Build an efficient data science workflow entirely from the terminal using modern CLI tools and Python.
No posts here yet.