This repository contains Jupyter notebooks for a workshop by the for the [CCV Bootcamp] (https://docs.ccv.brown.edu/bootcamp-2023/schuedule/wednesday-5-may-1), around an introduction to Python and data wrangling with Python.
Slides for Python Programming Basics
Ellen Duong, George Dang, and John Holland
It was adapted from previous CCV's annual summer Python workshop and Bootcamps.
For assistance, use the CCV-Share Slack channel for today's workshop: https://ccv-share.slack.com/archives/C0562DCNCD7
You may need to sign up here first: https://ccv-share.slack.com/signup#/
This workshop will run on Jupyter Notebooks. If you're using Brown University Open On Demand, you need to:
- clone the repository using the "OSCAR Shell Access" app
- load the notebooks using the "Basic Jupyter Notebook with Anaconda" app
Navigate to ood.ccv.brown.edu and log in.
Select the Oscar Shell Access App:
Then run the following commands. First, load the necessary modules:
module load "git/2.29.2"Clone the repository using the command:
git clone https://github.com/brown-ccv/ccv-bootcamp-python-2023Check you can enter the repository directory using the command:
cd ccv-bootcamp-python-2023To open the Jupyter Notebook in OpenOnDemand, first navigate to ood.ccv.brown.edu.
There select the Jupyter Notebook app:
You should make the following selections:
- Oscar Anaconda Module:
anaconda/2022.05 - Conda env:
/gpfs/data/datasci/bootcamp-python/venv - Modules: Leave empty
- Extra Jupyter args: Leave empty
- Number of cores:
1 - Memory per job:
default - Number of GPUs:
1(this will be ignored) - Condo account: Leave empty
- Partition: Leave empty
- Reservation: Leave empty
- Number of hours: 8
Then click the "Launch" button.
On the next page, you will see a "Basic Jupyter Notebook" card with the current status, and once the notebook has been started, you can click on "Connect to Jupyter" to launch the Jupyter session.
In the notebook interface you can navigate to the ccv-bootcamp-python-2023 directory and access the
session notebooks.