PyRVA Coding Night Exercises

Welcome to the PyRVA coding night repository. Coding night is a monthly gathering where we challenge our members to work through some exercises. Some nights we will play with existing challenge sites on the web, while other meetings will have custom generated content.

The custom generated content will rely on Jupyter Notebooks located in the source code above. The brilliant minds behind Binder make it really easy for you to get started with our exercises. You can click this badge and have access to an environment with all the dependencies you'll need already installed. For a specific meeting, click the link in the table below to go straight to the challenge. You will be able to download a copy of your notebook at the end of the session.

Please note that the environment will timeout after 10 minutes of activity.

Check us out on Meetup to see when the next meeting is scheduled. Due to current events, we are hosting virutal meetings on Discord. Invite links will be posted on Meetup.

Code Night History

Date	Topic	Link
2021-08-26	Automation with Selenium	Go to the Automation-with-Selenium folder in this repo.
2021-06-24	String Calculator	Go to the string calculator folder in this repo.
2021-05-27	FastAPI	Go to the fastapi folder in this repo.
2021-04-22	Coin Drawer Kata	Go to Coin Drawer Kata in this repo.
2020-11-19	Numpy 100
2020-10-22	100 Pandas Puzzles
2020-08-27	Refactoring and Testing	emilybache/gildedrose-refactoring-kata
2020-07-23	pathlib
2020-06-25	Web Scraping
2020-05-28	Python Challenge	http://www.pythonchallenge.com
2020-04-23	Python Morsels	https://www.pythonmorsels.com/
2020-03-26	py.checkio.org	https://py.checkio.org/
2020-02-27	Twilio Quest	https://www.twilio.com/quest
2020-01-23	Project Euler	https://projecteuler.net/
2019-07-25	Data analysis with Pandas

Notes for Contributors

nbstripout should be used to keep git commits small and manageable. This automatically cleans the output and run counts from the notebook before committing to the repository. The commands below will help you get your environment setup and ready for development.

Create the environment

python -m venv venv
pip install -r requirements.txt

Activate your environment

win> venv\Scripts\activate
nix$ source venv/bin/activate

Ensure notebook output and run counts are stripped before committing

nbstripout --install

Open Jupyter Lab

jupyter lab