Week 01: Introduction

This repository contains all the resources from the first session of the NYU Data Science Bootcamp. In the first week, we covered the basics of Python and Git to help everyone get started.

Instructor: Sagar Patel

The recording of the session can be found here:

• Section A (Wednesday)
• Section B (Thursday)
• Section C (Friday)

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Practice tasks for Week 01 (Optional)

NOTE: These tasks are optional and only for your practice. They will not be graded but they can be shared with the instructor for feedback.

1. Clone the repository to the local machine.
2. Create a repository on your GitHub profile and name it data-science-bootcamp. The repository should have the name <username>/data-science-bootcamp.
   1. Clone that repository to the local machine as well.
3. From the current repository, move the folder task-week1 to your repository.
   Hint: you can simply drag and drop or copy/paste the directory
4. Identify yourself: Open the Identify.txt file and enter your name, netid, and a brief summary of your favorite book with the title and author.
5. Add/move files:
   1. Create a new file named hello-world.txt and commit it to the repo.
   2. Create a new directory named Hello and move hello-world.txt into that directory.
   3. Finally commit the changes in the previous step.

Once you are done with this and would like the intsructor to review it, share the URL of your repository with the Instructor or on the #tasks channel on Slack.

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Online Resources:

1. Installing git on Windows
2. Git tutorial by Colt Steele
3. Markdown Cheat Sheet

If you have any questions regarding the bootcamp, feel free to email datasciencebootcamp@nyu.edu