Python libraries for data science

NumPy, pandas, Matplotlib, Seaborn and SciPy: the data toolkit every data scientist uses after learning Python. This is stage 2 of the five-stage data science roadmap.

What this stage covers

1. NumPy arrays
2. NumPy maths and broadcasting
3. pandas Series and DataFrames
4. Cleaning data with pandas
5. Grouping, joining, reshaping
6. Matplotlib
7. Seaborn
8. SciPy essentials

The chapters for this stage are being written. Meanwhile, start with stage 1: Python.