/dataptmad0420

Labs + Projects + More... | Data Mad PT April 2020

Primary LanguageJupyter NotebookGNU Affero General Public License v3.0AGPL-3.0

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Ironhack Data Analytics Labs

Getting Started

  1. Install git following the instructions included here. If you're using Ubuntu you can just:
$ sudo apt install git-all
  1. Fork this repository to your GitHub account and clone the forked repository into your local Hard Drive:
$ git clone https://github.com/<your-account>/<lab-repo>.git

Git will create a new folder named as the repository you're cloning and will convert it automatically into a git repository.

  1. Once you're into your newly created folder (repository) you can create a new branch for start an assignment:
$ git checkout -b <lab-name>

Each project/lab has its own directory in which you'll find a README.md file and, in most of them, a sub-directory named your-code. The descriptions and requirements of the assignment can be found in the README file. When you work on the assignment, create your code files in the your-code directory and save regularly while you work using:

$ git add <files-to-add>
$ git commit -m "lab-started"
$ git push origin <branch-name>

After you finish, perform a last commit as follow:

$ git add <files-to-add>
$ git commit -m "lab-finished"
$ git push origin <branch-name>

The instructional team will review your branch and provide feedback.

To work on the subsequent assignments, create a new branch for every new assignment.

❗ You may be asked in the future to update your forked repo because the curriculum development team is developing new assignments for you as the course proceeds.

Happy coding!