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Humble Data aims to increase inclusivity and provide a safe community for Python and Data Science. We organise free workshops for people who are outside of the mainstream in the data science and tech industry.

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Humble Data Workshop

Humble Data Workshop

ℹ️ If you would like to know more about this workshop, please email us.


Local environment set up

Installing Miniconda

Windows

  1. Download the Miniconda installer for Windows from the official website
  2. Double-click the downloaded .exe file
  3. Follow the installation prompts:
    • Click "Next"
    • Accept the license terms
    • Select "Just Me" for installation scope
    • Choose an installation directory (default is recommended)
    • In "Advanced Options", check "Add Miniconda3 to my PATH environment variable"
    • Click "Install"

Unix (Linux/macOS)

  1. Download the Miniconda installer for your system from the official website
  2. Open Terminal
  3. Navigate to the directory containing the downloaded file
  4. Make the installer executable:
    chmod +x Miniconda3-latest-*-x86_64.sh
  5. Run the installer:
    ./Miniconda3-latest-*-x86_64.sh
  6. Follow the prompts:
    • Press Enter to review the license agreement
    • Type "yes" to accept the license terms
    • Confirm the installation location (default is recommended)
    • Type "yes" to initialize Miniconda3

Creating and Activating the Environment

  1. Open a new terminal (Windows: Anaconda Prompt, Unix: Terminal)

  2. Create a new environment named 'humble-data':

    conda create -n humble-data python=3.8
  3. Activate the environment:

    • Windows:
      conda activate humble-data
    • Unix:
      conda activate humble-data
  4. Install required packages:

    pip install -r requirements.txt
  5. Start Jupyter Notebook:

    jupyter notebook

    This will open Jupyter Notebook in your default web browser. You can now navigate to and open any of the workshop notebooks.


License

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Humble Data aims to increase inclusivity and provide a safe community for Python and Data Science. We organise free workshops for people who are outside of the mainstream in the data science and tech industry.

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