I've compiled these notes from a variety of sources, but they are most heavily influenced by Jose Portilla's Udemy course Python for Data Science and Machine Learning. These are my notes from his ...

numpy: A scientific computing for Python, used in our project for math and generating random numbers. seaborn: a Statistical data visualization based on matplotlib, we will be using it to load ...

A series is very similar to a NumPy array (in fact it is built on top of the NumPy array object). What differentiates the NumPy array from a series, is that a series can have axis labels, meaning it ...

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.