Difference between revisions of "Python"

m (Add unidata python gallery link)
Line 7: Line 7:
 
* [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 | Chris Bull's getting started list]
+
*[[Using_Python_with_Climate_Data|Using Python with Climate Data]]  
* [http://oceanpython.org/ | OceanPython plotting examples]
+
*[[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]  
* [[How to publish your Python code to PyPI | Publishing your code on PyPI]]
+
*[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

Learning Python


Resources for Climate Scientists

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