Data Processing with Python Pandas

This workshop introduces the pandas package, which supports data processing in python.

Pandas makes it easier to build workflows that move between different kinds of task:

This workshop assumes a basic familiarity with the python language, as covered in the Introduction to Python workshop.

Setup

We will be working with python using jupyter notebooks. The easiest way to access jupyter is via the Anaconda platform.

Please install Anaconda from https://www.anaconda.com in advance of the first session.

Download this repository to your computer as a ZIP file and unpack it.

Open JupyterLab (within Anaconda) and navigate to the unpacked directory to work with the .ipynb notebooks.

Alternatively, you can run the notebooks online using Binder:

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
.ipynb_checkpoints		.ipynb_checkpoints
binder		binder
solutions		solutions
.DS_Store		.DS_Store
0_Introduction.ipynb		0_Introduction.ipynb
1_DataFrames.ipynb		1_DataFrames.ipynb
2_Loading_and_Tidying_Data.ipynb		2_Loading_and_Tidying_Data.ipynb
3_Assignment.ipynb		3_Assignment.ipynb
4_Visualising_Data.ipynb		4_Visualising_Data.ipynb
5_Manipulating_Data.ipynb		5_Manipulating_Data.ipynb
README.md		README.md
data_geographies_v1.xlsx		data_geographies_v1.xlsx
exam_results.xlsx		exam_results.xlsx
population_total.csv		population_total.csv
stats_1997.csv		stats_1997.csv
yearly_co2_emissions_1000_tonnes.csv		yearly_co2_emissions_1000_tonnes.csv