Data Science Learning

The repository contains all the notes, exercises and sources that I used to learn Data Science, more specifically the manipulation, cleaning, and presentation of data

Content Table

1. Ipython
2. numpy
3. Data manipulation with Pandas

Installation and Setup

To use and run the scripts and notebooks found in this project, we recommend using miniconda to manage and handle the python environments, After install minicoda execute the following commands

1. configure the channel where you going to fetch the packages in first instance

    (base) $ conda config --add channels conda-forge
    (base) $ conda config --set channel_priority strict

2. create a new enviroment

     (base) $ conda create -y -n pydata-book python=3.10

3. Activate the new environment

     (base) $ conda activate pydata-book
     (pydata-book) $

Bibliography

• Python for Data Analysis 3rd Edition