dlab-berkeley / Python-Geospatial-Fundamentals-Legacy

D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using GeoPandas in Python.

Date Created 2018-06-07 (6 years ago)

Commits 188 (last one about a year ago)

Stargazers 55 (0 this week)

Watchers 7 (0 this week)

Forks 30

License other

Ranking

RepositoryStats indexes 534,551 repositories, of these dlab-berkeley/Python-Geospatial-Fundamentals-Legacy is ranked #405,286 (24th percentile) for total stargazers, and #258,950 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,099/14,929.

dlab-berkeley/Python-Geospatial-Fundamentals-Legacy is also tagged with popular topics, for these it's ranked: python (#16,610/20447)

Other Information

dlab-berkeley/Python-Geospatial-Fundamentals-Legacy has 2 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 14 closed issues.

All Topics

python geopandas geospatial-data

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Github watchers over time, collection started in '23

Recent Commit History

7 commits on the default branch (main) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-06-14 @ 01:45am, id: 136518635 / R_kgDOCCMb6w