astrodev

h1. Other interesting tutorials / documentation

h2. Python related

• Astropy
  The Astropy Project is a community effort to develop a single core package for Astronomy in Python and foster interoperability between Python astronomy packages
  Official website: http://www.astropy.org/
  Tutorials: http://www.astropy.org/astropy-tutorials/

• Cython
  Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself.
  Official documentation: http://docs.cython.org/
  Introduction tutorials with easy examples: http://nbviewer.jupyter.org/url/consulting.behnel.de/esp/2015/EuroSciPy2015.ipynb

• iMinuit
  Python wrapper of the ROOT Minuit fitting algorithm developped at CERN
  
  Interactive IPython-Friendly Minimizer based on SEAL Minuit2. It is designed from ground up to be fast, interactive and cython friendly.
  Official documentation: http://iminuit.readthedocs.io/en/latest/
  
  Tutorials: "Quick Start":http://nbviewer.jupyter.org/github/iminuit/iminuit/blob/master/tutorial/tutorial.ipynb and "Optimise iMinuit with Cython":http://nbviewer.jupyter.org/github/iminuit/iminuit/blob/master/tutorial/hard-core-tutorial.ipynb

• Practical Python for astronomers
  Practical Python for Astronomers is a series of hands-on workshops to explore the Python language and the powerful analysis tools it provides. The emphasis is on using Python to solve real-world problems that astronomers are likely to encounter in research.
  https://python4astronomers.github.io/index.html

• Probfit
  Probfit is a set of functions that helps you construct a complex fit. It’s intended to be used with iminuit.
  Official documentation: https://probfit.readthedocs.io/en/latest/
  
  Tutorial: "Official tutorial":http://nbviewer.jupyter.org/github/iminuit/probfit/blob/master/tutorial/tutorial.ipynb

• Python book: A Primer on Scientific Programming with Python
  Kind of CookBook from Hans Petter Langtangen combining a well detailed introduction to Python and a lot of examples on concrete mathematical problems.
  https://hplgit.github.io/primer.html/doc/pub/half/book.pdf
  https://github.com/hplgit/scipro-primer

• Scipy Lecture Notes
  One document to learn numerics, science, and data with Python
  http://www.scipy-lectures.org/

h3. Others

• Anaconda
  Anaconda is a free distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment. It includes more than 400 of the most popular Python packages for science, math, engineering, and data analysis
  Official website: https://www.continuum.io/
  Official documentation: https://conda.io/docs/
  Youtube tuto: https://youtu.be/YJC6ldI3hWk

• Git
  A version control system
  https://git-scm.com/documentation

• Github
  Guides about Github: https://guides.github.com/
  Learn how to: Create and use a repository / Start and manage a new branch / Make changes to a file and push them to GitHub as commits / Open and merge a pull request: https://guides.github.com/activities/hello-world/
  Understanding the GitHub Flow: https://guides.github.com/introduction/flow/

• Jupyter notebook
  Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.
  Official website: http://jupyter.org/index.html
  Official documentation: https://jupyter.readthedocs.io/en/latest/
  Youtube tuto: https://youtu.be/HW29067qVWk
  Gallery of interesting notebooks: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks