Resources¶

Support Orgs¶

• https://www.numfocus.org/

IPython¶

IPython is the calculation engine in MTK.

• IPython homepage
• IPython Wiki page
• Examples of using IPython
  • Web article about optimizing Python code that introduced us to IPython
  • A short demo on how to use IPython Notebook as a research notebook (actual example research notebook)
  • Pandas cookbook - great examples of using Pandas library to process/display data
  • Pandas Tour - another set of Pandas examples

Included Packages¶

• Pint (units for Python)
  • Pint Docs
  • General Installation

Jupyter Notebooks¶

Jupyter is the documentation creation user interface.

• Jupyter homepage
• Jupyter extensions
• JupyterLab: the next generation of the Jupyter Notebook

Python Tips and Tricks¶

• Cheat Sheet for Exploratory Data Analysis in Python - great list of functions/methods and example code for dealing with data (think tables, plotting, etc)
• Make and Deploy Python Package - thinking we can make our mods into a package?
• https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet#gs.dQvhxi8

Packages to Research¶

• Tikz - Programatic graphics
• AstroPy - Python library for astronomical and astrodynamics calculations
• Seven Python Tools All Data Scientists Should Know How to Use
• bqplot - plotting system for the Jupyter notebook
• PyEphem - provides basic astronomical computations for the Python programming language