This project is for performing data manipulations on a cloud-hosted notebook
The link to the notebook can be accessed here: https://colab.research.google.com/drive/1lmU__izUOrgAEXc9Zdg5R7jm1xkz-ZbB?usp=sharing
Requirements
The project structure must include the following files:
- Set up a cloud-hosted Jupyter Notebook (e.g., Google Colab)
- Perform data manipulation tasks on a sample dataset
Dataset
- Basketball Referemce 2023-2024 NBA Player Stats: Per Game
Project Structure:
📦 fan_xu_cloud_nb
├─ .devcontainer
│ └─ devcontainer.json
├─ .github
│ ├─ dependabot.yml
│ └─ workflows
│ ├─ format.yml
│ ├─ install.yml
│ ├─ lint.yml
│ └─ test.yml
├─ Makefile
├─ NBA_24_stats.csv
├─ NBA_pts_bar.png
├─ README.md
├─ __pycache__
│ └─ lib.cpython-312.pyc
├─ gitignore
├─ lib.py
├─ requirements.txt
├─ script.py
├─ test_lib.py
└─ test_script.py
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To use this code, you can clone this repo with:
git clone https://github.com/nogibjj/fan_xu_cloud_nb.git
To access the cloud notebook, click on the link above