pschatzmann/data-science repository overview

⁠Data-Science

Dockerfile for Jupyter Lab (with BeakerX) and the most important Data Science Libraries

⁠GUI

• jupyterlab

⁠Extensions

• Extensions Manager (enabled)
• Git
• Github

⁠Languages

• python
• scala
• java
• kotlin
• groovy
• clojure
• bash
• prolog
• SQL
• javascript

⁠Library Managers

• anaconda
• pip
• maven

⁠Core Python Libraries.

• NumPy
• SciPy
• statsmodels
• Pandas
• psycopg2

⁠Visualization

• Matplotlib
• Seaborn

⁠Machine Learning.

• SciKit-Learn
• Keras
• TensorFlow
• Shogun

⁠Natural Language Processing.

• nltk
• gensim

⁠Data Sources

• quandl

⁠Docker Compose

We currently use the following docker-compose file. The volume mapping makes sure that we do not loose any jupyter workbooks.

version: '3.1'
services:
  data-science:
	image: pschatzmann/data-science
	container_name: data-science
	restart: always
	ports:
	  - 8000:8888
	volumes:
	  - /srv/data-science:/home/beakerx