Data Science, Statistics, Tech, Machine Learning, Programming.
with data science (and by extension also ML). Also make sure you check out this SciPy tutorial on vectors and arrays and this workshop on Scientific Computing with Python. To get hands-on with Python and calculus, you can check out the SymPy package. 2. Don’t be scared to invest in the “theory” of