This repository contains learning materials that will help you understand the core concepts of #Python.
At the same time, you will work with the famous pandas.DataFrame to manipulate & visualize #Data.
- Anaconda installed
- Logged in to GitHub
- Git installed
- Git configured in the terminal
- Change the
MY_NAME@example.com
to yoursgit config --global user.email "MY_NAME@example.com"
- Change the
FIRST_NAME LAST_NAME
to yoursgit config --global user.name "FIRST_NAME LAST_NAME"
- Change the
To download the materials, you have three options:
-
Fork the repository to your GitHub account.
- Later, you must clone the repository in your terminal.
- Make sure you change
USERNAME
to your actual username:git clone https://github.com/USERNAME/resolving-python-data-science
- For example, since my username is
jsulopz
, I should execute the following in the terminal:git clone https://github.com/jsulopz/resolving-python-data-science
-
Directly clone the repository, without forking it. If you don't fork the repository, you won't be able to upload the resolution of the exercises for potential job interviewers to see what you are capable of.
git clone https://github.com/jsulopz/resolving-python-data-science
-
Download the materials as a zip folder.
- Each folder represents a chapter.
- Each chapter may contain up to 6 types of files:
x_topic-y_**syllabus**.ipynb
to understand the practical use case and the concepts you will uncover as you interact with the chapter.x_topic-y_**session_blank**.ipynb
to develop the solutions of the session notebook.x_topic-y_**session_solution**.ipynb
to uncover the solutions of the session notebook.x_topic-y_**practice_blank**.ipynb
to develop the solutions of the practice notebook.x_topic-y_**practice_solution**.ipynb
to uncover the solutions of the practice notebook.instructions.md
to follow a series of steps to complete the chapter.