NumPy for Data Science and Machine Learning in Python

1. Basics of Numpy, Arrays, Lists.
2. Accessing/Changing Specific Elements, Rows, Columns, etc
3. Initializing Different Arrays (1s, 0s, full, random, etc)
4. Basic Mathematics (arithmetic, trigonometry, etc.)
5. Linear Algebra and Statistics
6. Reorganizing Arrays
7. Load data in from a file
8. Advanced Indexing and Boolean Masking