mugiro / pandas-workshop

DS02 - Data Science with Python: Pandas

Welcome to our second workshop in Data Science with Python series! In this workshop we start to introduce our second Python package called Pandas. Packages often contain a lot of useful in-built functions. Pandas allows you to work with csv files, excel files, tables from a web page..

Author: Tania Turdean, Science Executive (19/20), UCL Data Science Society ([email protected])

*Updated by: Philip Wilkinson, Head of Science (20/21), UCL Data Science Society ([email protected])

Proudly presented by the UCL Data Science Society

Software prerequisite

• Install Anaconda:

For Windows use: https://repo.anaconda.com/archive/Anaconda3-2020.07-Windows-x86_64.exe
For MacOS use: https://repo.anaconda.com/archive/Anaconda3-2020.07-MacOSX-x86_64.pkg

Structure

├── DS02 - Data Science with Python: Pandas
│   ├── FundamentalParticles.csv
│   ├── H20.csv
│   ├── README.md
│   ├── StarColours.csv
│   ├── Translational.csv
│   ├── problem.ipynb
│   ├── solution.ipynb
    └── workshop.ipynb
        ├── What is Pandas?
        ├── Pandas Series
        ├── Pandas DataFrame
        ├── Accessing Data
        └── DataFrame operations