Check out to exercise for practice.
Find solutions here: solutions
This repository provides solutions from this webpage:
https://www.machinelearningplus.com/python/101-pandas-exercises-python
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
Please follow guide to make this project up and running.
- Clone this repo to your local machine using https://github.com/jgrt/101-Pandas-Exercises.git
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Using Docker:
- If you have docker running in your local machine then go to folder where you have just cloned this repository. then run following commands:
docker-compose build lab docker-compose up lab
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Using Virtualenv or without:
Prerequisites
- Python 3 (Preferred 3.7, better 3.8)
- pip (Preferred Latest stable Available)
Install
pip install -r requirements.txt
Run
jupyter lab