https://github.com/davanstrien/python-introduction-for-digital-collections

Workshop materials on Python as part of a series of Library Carpentry workshops at the British Library
https://github.com/davanstrien/python-introduction-for-digital-collections

Last synced: about 1 year ago
JSON representation

Workshop materials on Python as part of a series of Library Carpentry workshops at the British Library

• Host: GitHub
• URL: https://github.com/davanstrien/python-introduction-for-digital-collections
• Owner: davanstrien
• Created: 2019-12-11T18:13:10.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T12:05:52.000Z (over 1 year ago)
• Last Synced: 2025-04-10T11:11:43.361Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 2.78 MB
• Stars: 5
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Python introduction for digital collections

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/davanstrien/Python-for-Digital-Collections-Analysis)

BL workshop as part of Library Carpentry introducing Python.

## Contents

- [01_python-intro](https://colab.research.google.com/github/davanstrien/Python-introduction-for-digital-collections/blob/master/01_python_intro.ipynb): a quick intro to Python

- [02_download_data](https://colab.research.google.com/github/davanstrien/Python-introduction-for-digital-collections/blob/master/02_download_data.ipynb): downloading data in python and some basic data processing

- [03_pandas](https://colab.research.google.com/github/davanstrien/Python-introduction-for-digital-collections/blob/master/03_pandas.ipynb): an overview of what we can do with Pandas 

## Binder 

If Colab doesn't work you can run in Binder. This link: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/davanstrien/Python-introduction-for-digital-collections/master) will open the repo in binder.

## Resources 

### Python 

- Library Carpentry lesson: [Python Intro for Libraries](https://librarycarpentry.org/lc-python-intro/)

- [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)

- [Installing Python Modules with pip](https://programminghistorian.org/en/lessons/installing-python-modules-pip)

- [Working with Text Files in Python](https://programminghistorian.org/en/lessons/working-with-text-files) 

- [Working With Files in Python](https://realpython.com/working-with-files-in-python/)

- [Real Python](https://realpython.com/) tends to have good quality tutorials. Most of it is free but there is some paid content too. 

### Notebooks

- Glam workbench: [https://glam-workbench.github.io/]()

- [Introduction to Jupyter Notebooks](https://programminghistorian.org/en/lessons/jupyter-notebooks)

### Pandas 

- [Visualizing Data with Bokeh and Pandas](https://programminghistorian.org/en/lessons/visualizing-with-bokeh) 

- [Using Pandas with Large Data Sets in Python](https://www.dataquest.io/blog/pandas-big-data/)