1.1 KiB
D01 Piscine AI - Data Science
The goal of this day is to understand practical usage of NumPy. NumPy is a commonly used Python data analysis package. By using NumPy, you can speed up your workflow, and interface with other packages in the Python ecosystem, like scikit-learn, that use NumPy under the hood. NumPy was originally developed in the mid 2000s, and arose from an even older package called Numeric. This longevity means that almost every data analysis or machine learning package for Python leverages NumPy in some way.
Version of NumPy I used to do the exercises: 1.18.1
I suggest to use the most recent one.
Author:
Outline: (optional)
A. Introduction
B. Rules
C. Exercises
Rules
... Notebook Colabs or Jupyter Notebook Save one notebook per day or one per exercise. Use markdown to divide your notebook in different exercises.