Giter VIP home page Giter VIP logo

scipy-2022-ploomber's Introduction

Please show your support by starring our main repo. Click here!


Ploomber: Developing Maintainable and Reproducible Data Pipelines Interactively From Jupyter, VSCode, and PyCharm

Facilitators: Eduardo Blancas and Ido Michael

Please follow the setup instructions before the workshop. If you have any issues, send us a message on Slack

Setup instructions

  • Ensure you have a GitHub account
  • Fork this repository (click on fork in the upper right button)

Option 1. Local environment setup

Clone your fork:

# clone the repo (change for your username)
git clone https://github.com/{your-username}/scipy-2022
cd scipy-2022

If using conda:

# create virtual env
conda create --name ploomber-workshop python=3.9 --yes

# activate env
conda activate ploomber-workshop

# install packages
pip install -r requirements.txt

If using pip:

# create virtual env
python -m venv ploomber-workshop

# activate it (if using windows, see note below)
source ploomber-workshop/bin/activate

# install packages
pip install -r requirements.txt

Note: If using Windows, the command to activate the environment is different, click here and scroll down, you'll find a table with the command to run depending on your system.

Option 2. Hosted JupyterLab

To simplify setup, we're offering a hosted JupyterLab.

Register here. Then, access JupyterLab here.

Once JupyterLab starts, clone your forked repository:

# clone the repo (change for your username)
git clone https://github.com/{your-username}/scipy-2022
cd scipy-2022

Testing setup

To check your setup, run (it may take a few seconds):

python check.py

If everything is good, you'll see the following message:

Everything is working correctly!

If you have any issues setting up, send us a message on our community's #ask-anything channel.

Content

See the workshop.md file.

scipy-2022-ploomber's People

Contributors

edublancas avatar robpasmue avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.