This tutorial is an introduction to Python for data analysis. It is aimed at people who are new to Python and want to learn how to use it for data analysis. The tutorial covers the basics of Python.
The lessons are organized in four sections:
- session 1: Basics on variables, types, assignments
- session 2: Control structures
- session 3: Functions
- session 4: Data analysis with Python
Clone the repository and install the required packages using the following commands (use mamba
instead of conda
if you have it installed):
git clone https://github.com/SyracuseUniversity/ospo-workshop-computing101-3.git
cd ospo-workshop-computing101-3
conda env create -f environment.yml
Activate the environment by running:
conda activate 101python
Large parts of this tutorial LHCb analysis essentials tutorials.