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 2 years ago)

Stargazers 57 (0 this week)

Watchers 7 (0 this week)

Forks 30

License other

Ranking

RepositoryStats indexes 597,824 repositories, of these dlab-berkeley/Python-Geospatial-Fundamentals-Legacy is ranked #431,260 (28th percentile) for total stargazers, and #271,940 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,176/17,623.

dlab-berkeley/Python-Geospatial-Fundamentals-Legacy is also tagged with popular topics, for these it's ranked: python (#17,566/22372)

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

updated: 2024-09-18 @ 07:13pm, id: 136518635 / R_kgDOCCMb6w