Unidata Online Python Training

The Unidata Online Python Training is an interactive, geoscience focused approach to learning Python. There are many excellent books and web sites to learn Python, and this effort does not aim to duplicate those resources. Rather, we take the approach that geoscience students will be engaged to learn Python if they are presented with material that is relevant to the fields of atmospheric and oceanic science. The interactive Jupyter notebooks attempt to cast programming concepts with geoscience objectives.

To Access Resource:

Questions? Email Resource Support Contact:

  • Ryan May
    support-python@unidata.ucar.edu
    Unidata

Resource Type software
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
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Related Links

GitHub : GitHub repository of source code
Additional Information N/A
Resource Format ZIP
Standardized Resource Format Archive
Asset Size N/A
Legal Constraints

MIT License
Access Constraints None
Software Implementation Language Python

Resource Support Name Ryan May
Resource Support Email support-python@unidata.ucar.edu
Resource Support Organization Unidata
Distributor UCAR/UCP - Unidata
Metadata Contact Name Ryan May
Metadata Contact Email rmay@ucar.edu
Metadata Contact Organization Unidata

Author Ryan May
Julien Chastang
Publisher UCAR/UCP - Unidata
Publication Date 2016-05-01
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress onGoing
Metadata Date 2017-10-06T16:38:03
Metadata Record Identifier e05e1ee3-6556-4c07-9d78-be30a2072f33
Metadata Language eng
Suggested Citation Ryan May, Julien Chastang. (2016). Unidata Online Python Training. UCAR/UCP - Unidata. https://unidata.github.io/online-python-training. Accessed 23 April 2024.

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