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Notebook","readme":"#######################\nMastersign Data Science\n#######################\n\n    High level helpers for data science in Python with Pandas.\n\n************\nInstallation\n************\n\n::\n\n\tpip install mastersign-datascience\n\nor\n\n::\n\n\tpython ./setup.py install\n\n\n-----------------------------\nPlotting on Cartographic Maps\n-----------------------------\n\nYou can use the library without further manual steps;\nbut if you want to use plotting functions which draw on a cartographic maps,\nlike ``scatter_map()``, you must install *Basemap* yourself.\nPyPI does not host a version of *Basemap* which can easily be used as a dependency.\nTherefore *Basemap* is not listed as a dependency in this library.\n\nOn Windows, you may install the Wheel\nfrom https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap .\nDownload the e.g. ``basemap-1.2.0-cp36-cp36m-win_amd64.whl`` and then install it\nwith ``pip``:\n\n::\n\n\tpip install .\\basemap-1.2.0-cp36-cp36m-win_amd64.whl\n\nOn Linux you may install *Basemap* with your distributions package manager.\nE.g. on Ubuntu you can use ``apt``:\n\n::\n\n\tsudo apt install python3-mpltoolkits.basemap\n\n\n*************\nDocumentation\n*************\n\nhttps://mastersign.github.io/mastersign-datascience\n\n*************\nDemonstration\n*************\n\nTake a look at the Jupyter Notebooks ``demo-*.ipynb`` for demonstration.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmastersign%2Fmastersign-datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmastersign%2Fmastersign-datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmastersign%2Fmastersign-datascience/lists"}