Identification
Title
Unidata Online Python Training
Abstract
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.
Resource type
software
Resource locator
Unique resource identifier
code
codeSpace
Dataset language
eng
Spatial reference system
code identifying the spatial reference system
urn:ogc:def:crs:EPSG:4326
Classification of spatial data and services
Topic category
geoscientificInformation
Keywords
Keyword set
keyword value
Software
originating controlled vocabulary
title
Resource Typereference date
date type
publication
effective date
2017-08-15
Geographic location
West bounding longitude
East bounding longitude
North bounding latitude
South bounding latitude
Temporal reference
Temporal extent
Begin position
End position
Dataset reference date
date type
publication
effective date
2016-05-01
Frequency of update
asNeeded
Quality and validity
Lineage
Conformity
Data format
name of format
ZIP
version of format
Constraints related to access and use
Constraint set
Use constraints
MIT License
Limitations on public access
None
Responsible organisations
Responsible party
contact position
Software Engineer/Programmer
organisation name
Unidata
telephone number
303-497-8679
email address
support-python@unidata.ucar.edu
responsible party role
pointOfContact
Metadata on metadata
Metadata point of contact
contact position
Software Engineer/Programmer
organisation name
Unidata
telephone number
303-497-8679
email address
rmay@ucar.edu
responsible party role
pointOfContact
Metadata date
2017-10-06T16:38:03
Metadata language
eng