scipy-2017-codegen-tutorial | SymPy code generation tutorial at SciPy 2017

by sympy Jupyter Notebook Version: scipy-2017-final License: Non-SPDX

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kandi X-RAY | scipy-2017-codegen-tutorial Summary

scipy-2017-codegen-tutorial is a Jupyter Notebook library. scipy-2017-codegen-tutorial has no bugs, it has no vulnerabilities and it has low support. However scipy-2017-codegen-tutorial has a Non-SPDX License. You can download it from GitHub.

This repository contains all of the source code and Jupyter notebooks for the SciPy 2017 tutorial "Automatic Code Generation with SymPy". The original proposal for this tutorial can be found on the `SymPy Wiki`_. The statically rendered Jupyter notebooks in this repository can be viewed at `sympy.org/scipy-2017-codegen-tutorial `_ or on NBViewer_.

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Support

scipy-2017-codegen-tutorial has a low active ecosystem.

It has 56 star(s) with 25 fork(s). There are 30 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 20 have been closed. On average issues are closed in 59 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of scipy-2017-codegen-tutorial is scipy-2017-final

Quality

scipy-2017-codegen-tutorial has no bugs reported.

Security

scipy-2017-codegen-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

scipy-2017-codegen-tutorial 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.

Reuse

scipy-2017-codegen-tutorial releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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scipy-2017-codegen-tutorial Key Features

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scipy-2017-codegen-tutorial Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install scipy-2017-codegen-tutorial

We leverage the Conda package manager for installation of the necessary software on the three most popular platforms. Please install either Anaconda_ or Miniconda_ using the instructions provided at the download links. If you are using Windows, please also install the `Visual C++ Build Tools`_ for proper Cython compilation with Python 3.5+. Install this before you arrive at the tutorial, as it takes some time.
_Anaconda: https://www.continuum.io/downloads
_Miniconda: https://conda.io/miniconda.html
_Visual C++ Build Tools: http://landinghub.visualstudio.com/visual-cpp-build-tools

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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