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Labs for Introduction to Data Science @ U of U

Home Page: http://datasciencecourse.net

Python 0.03% Jupyter Notebook 99.97% HTML 0.01%

2016-datascience-labs's Introduction

Introduction to Data Science - Labs

Course website: http://datasciencecourse.net

This repository will contain directories with all labs. You can manually download the files for each homework, but we recommend that you use git to clone and update this repository.

You can use GitHub Desktop to update this repository as new homeworks are published, or you can use the following commands:

Initial Step: Cloning

When you clone a repository you set up a copy on your computer. Run:

git clone https://github.com/datascience-course/2016-datascience-labs

This will create a folder 2016-datascience-labs on your computer, with the individual labs in subdirectories.

Updating

As we release new homeworks, or if we discover mistakes and update an already released lab, you'll have to update your repository. You can do this by changing into the 2016-datascience-labs directory and executing:

git pull

That's it - you'll have the latest version of the labs.

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