Nov 29th 2016

Using Python for Research (edX)

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Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects.

In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.

Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.

What you'll learn:

- Python 3 programming basics (a review)

- Python tools (e.g., NumPy and SciPy modules) for research applications

- How to apply Python research tools in practical settings

Course Syllabus

Week 1: Python Basics

Review of basic Python 3 language concepts and syntax.

Week 2: Python Research Tools

Introduction to Python modules commonly used in scientific computation, such as NumPy.

Weeks 3 & 4: Case Studies

This collection of six case studies from different disciplines provides opportunities to practice Python research skills.

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