Data analysis in Python

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• Authors: Ahmed Hasan, James Santangelo, borrowing from UofT Coders lesson by Derek Howard
• Research field: Biology
• Lesson topic: Introduction to Data analysis in Python
• Lesson content URL: https://github.com/utm-coders/studyGroup/tree/gh-pages/lessons/python/data_analysis

Preface:

This is an introduction to data analysis in Python, including data manipulation and visualisation, and an introduction to common Python modules in scientific computation.

We will be walking through the lesson content together using a Jupyter notebook. We highly recommend installing Jupyter lab through Anaconda. Detailed download instructions of all required software can be found HERE

Lesson Overview:

The lesson covers:

• Python class methods and attributes
• The numpy module for scientific computation
• The pandas module for dataframes
• The matplotlib/seaborn packages for visualisation

The official Python documentation site goes into much more detail regarding all topics covered in this code-along. Python is supported by a very, very extensive breadth of modules, a list can be found here Please check out StackOverflow for any question on it.