https://github.com/fhdsl/intro_to_python

The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.
https://github.com/fhdsl/intro_to_python

hutch-course

Last synced: 3 days ago
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The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.

• Host: GitHub
• URL: https://github.com/fhdsl/intro_to_python
• Owner: fhdsl
• License: cc-by-4.0
• Created: 2024-08-06T20:59:32.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-13T23:13:49.000Z (5 days ago)
• Last Synced: 2024-11-13T23:28:50.102Z (5 days ago)
• Topics: hutch-course
• Language: JavaScript
• Homepage: https://hutchdatascience.org/Intro_to_Python/
• Size: 29.4 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Intro to Python

This course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).

You can see the rendered course material here: https://hutchdatascience.org/Intro_to_Python/

If you would like to contribute to this course material, take a look at the [OTTR documentation](https://www.ottrproject.org/).

## About this course

The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.

## Audience

The course is intended for researchers who want to learn coding for the first time with a data science application via the Python language. This course is also appropriate for folks who have explored data science or programming on their own and want to focus on some fundamentals.

## Learning Objectives

**Analyze** Tidy datasets in the Python programming language via data subsetting, joining, and transformations.

**Evaluate** summary statistics and data visualization to understand scientific questions.

**Describe** how the Python programming environment interpret complex expressions made out of functions, operations, and data structures, in a step-by-step way.

**Apply** problem solving strategies to debug broken code.

## Encountering problems?

If you are encountering any problems with this course, please file a GitHub issue or contact us at {Some email or web address with a contact form}.


All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.