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Branch-AI/one_exercise_per_file/week01/day05/readme.md

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D05 Piscine AI - Data Science

The goal of this day is to understand practical usage of Pandas. Today we will discover some important functionalities of Pandas. they will allow you to manipulate the data (DataFrame and Series) in order to clean, delete, add, merge and leverage more information.

In Data Science this is crucial, because without cleaned data there's no algorithms learning.

Author:

Table of Contents:

Historical part:

Introduction

Not only is the pandas library a central component of the data science toolkit but it is used in conjunction with other libraries in that collection.

Pandas is built on top of the NumPy package, meaning a lot of the structure of NumPy is used or replicated in Pandas. Data in pandas is often used to feed statistical analysis in SciPy, plotting functfunctionsions from Matplotlib, and machine learning algorithms in Scikit-learn.

Historical

Rules

...

Ressources

Pandas website