Difference between revisions of "Python"
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* [http://www.johnny-lin.com/pyintro/ | A Hands-On Introduction to Python in the Atmospheric and Oceanic Sciences] | * [http://www.johnny-lin.com/pyintro/ | A Hands-On Introduction to Python in the Atmospheric and Oceanic Sciences] | ||
− | =Resources for Climate Scientists= | + | |
− | * [[Using Python with Climate Data]] | + | = Resources for Climate Scientists = |
− | * [[Python Libraries on Raijin]] | + | |
− | * [http://christopherbull.com.au/blog/?page_id=180 | + | *[[Using_Python_with_Climate_Data|Using Python with Climate Data]] |
− | * [http://oceanpython.org/ | + | *[[Python_Libraries_on_Raijin|Python Libraries on Raijin]] |
− | * [[Running IPython Notebook from Raijin]] | + | *[http://christopherbull.com.au/blog/?page_id=180 Chris Bull's getting started list] |
− | * [[ | + | *[http://oceanpython.org/ OceanPython plotting examples] |
+ | *[https://unidata.github.io/python-gallery/examples/index.html Unidata example python plot gallery] | ||
+ | *[[Running_IPython_Notebook_from_Raijin|Running IPython Notebook from Raijin]] | ||
+ | *[[How_to_publish_your_Python_code_to_PyPI|Publishing your code on PyPI]] | ||
=Useful Libraries= | =Useful Libraries= |
Revision as of 21:12, 31 July 2019
Template:Needs Update This page needs updating
Contents
Learning Python
- | Learn Python the Hard Way - Python tutorial for beginners to programming
- | Software Carpentry - Programming for Scientists
- | A Hands-On Introduction to Python in the Atmospheric and Oceanic Sciences
Resources for Climate Scientists
- Using Python with Climate Data
- Python Libraries on Raijin
- Chris Bull's getting started list
- OceanPython plotting examples
- Unidata example python plot gallery
- Running IPython Notebook from Raijin
- Publishing your code on PyPI
Useful Libraries
- | NumPy - Numerical Python Library
- | SciPy - Scientific Python Tools
- | Iris - Read, Analyse and Plot Climate Datasets (NetCDF, GRIB, UM output)
- | Cartopy - A library containing cartographic tools for python (alternative to basemap)
For using Python on your desktop computer, consider installing Enthought: Canopy
- The full version of the software is free for academic users
- and provides a large library of ready-made python packages