Template for a beginner project in the UCSB Data Science Club.
Allows members to log progress in an interactive visualization using Jupyter Notebook, Pandas, Matplotlib, and mplcursors.
Being in an academic club like the Data Science Club is very appealing to potential employers. However, one issue with the large number of people listing "UCS Data Science Club" on their resumé is that it can be difficult to quantify the amount of progress made or knowledge gained in this extracurricular club.
This short project intends to help those motivated and driven members of the club to track their weekly progress in a matplotlib visualization, while in the process also gaining knowledge of git commands.
The final result is an interactive visualization like this:
We'll be using this Git Cheat Sheet to help us out.
- In the future, we want to be able to interact with our GitHub scripts through our terminal. In order to do this, we need to point git (the programming language upon which GitHub is based on) to our account.
- Run
git config --global user.name "Your name here"andgit config --global user.email "Your email here"in your terminal. - To ensure these config commands worked, run
git config user.name
- Forking is the process of copying a repo. To do so, click the "Fork" button at the top right of this screen, next to "Watch" and "Star".
- Cloning allows us to have a local copy of all the files in the repo which we can make changes to.
- Hit the profile button in the top right of this page. From that drop-down, select "My Repositories" and find the "DS-Progress-Journal" repo you just cloned.
- Copy the url of your forked repo. It should be https://github.com/YOUR_USERNAME/DS-Progress-Journal
- In your terminal, navigate to a local directory where you want to store this project. For example, if you have a folder on your desktop called "DataScienceClub", you would type
cd desktop/DataScienceClubfor Macs, andcd C:\Users\MyName\Desktop\DataScienceClubfor Windows. - Once in your desired local directory, enter
git clone https://github.com/YOUR_USERNAME/DS-Progress-Journal. Make sure you don't just copy and paste that command and actually use your updated username.
- Now, you're ready to do work in the local repo you just cloned. In the future, you're going to need to update the Github version of the repo to the version on your computer.
- Once you've made certain changes, it's typically a 3-step process to push changes (update) the Github repo:
git add -Aadds all changes, deletions and insertions made to the repo locallygit commit -m "YOUR-MESSAGE"adds a custom commit message where you describe the changes that have been madegit pushpushes all staged commits
- IMPORTANT: In future collaborative work done on Github, you have the potential to make people very angry by pushing directly to master. Read up on branches and experiment on your own time within a personal repo with creating and merging branches.
- What's happening with this command is that, line-by-line, the neccessary modules for completing this project are being installed. Depending on your local python setup, you may need to specify
pip3instead of just plain pip.
For this section, check out this guide on installing Jupyter Notebook. It's reccomended that, if you are a beginner, you install Anaconda as a package manager.
- If, for whatever reason, the first cell importing all the dependencies fails, contact a Data Science Officer to help get everything set up right.
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