PythonDataScienceHandbook | Python Data Science Handbook : full text in Jupyter Notebooks

by anthony-wang Jupyter Notebook Version: Current License: Non-SPDX

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kandi X-RAY | PythonDataScienceHandbook Summary

PythonDataScienceHandbook is a Jupyter Notebook library. PythonDataScienceHandbook has no bugs, it has no vulnerabilities and it has low support. However PythonDataScienceHandbook has a Non-SPDX License. You can download it from GitHub.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A Whirlwind Tour of Python: it's a fast-paced introduction to the Python language aimed at researchers and scientists. See Index.ipynb for an index of the notebooks available to accompany the text.

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PythonDataScienceHandbook has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

PythonDataScienceHandbook has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PythonDataScienceHandbook is current.

Quality

PythonDataScienceHandbook has no bugs reported.

Security

PythonDataScienceHandbook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

PythonDataScienceHandbook has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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PythonDataScienceHandbook releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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PythonDataScienceHandbook Key Features

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