py2nb | convert python scripts to jupyter notebooks | Data Visualization library

by williamjameshandley Python Version: 1.0.0 License: GPL-3.0

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kandi X-RAY | py2nb Summary

py2nb is a Python library typically used in Analytics, Data Visualization, Jupyter, Pandas applications. py2nb has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install py2nb' or download it from GitHub, PyPI.

convert python scripts to jupyter notebooks

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py2nb has a low active ecosystem.

It has 14 star(s) with 4 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 13 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of py2nb is 1.0.0

Quality

py2nb has 0 bugs and 0 code smells.

Security

py2nb has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py2nb code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py2nb is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

py2nb releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 36 lines of code, 2 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed py2nb and discovered the below as its top functions. This is intended to give you an instant insight into py2nb implemented functionality, and help decide if they suit your requirements.

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Return the README . rst . rst file .

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py2nb Key Features

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py2nb Examples and Code Snippets

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Community Discussions

Trending Discussions on py2nb

Makefile for bi-directional codec

QUESTION

Makefile for bi-directional codec

Asked 2019-Jun-12 at 21:53

Once upon a time I wrote a little codec to convert from IPython Notebooks (.ipynb) to "decorated" Python code and vice-versa. This has proved quite useful to work with the source code corresponding to a notebook. In my team we use that to store the decorated Python source in our git repos (rather than the sometimes huge .ipynb files). We can diff notebooks (with other notebooks or along the version graph), refactor them in our favorite IDE, etc. We typically have a few example notebooks in our codebase as examples and part of the documentation (they are hydrated and run when we build the docs).

The syntax is:

...

ANSWER

Answered 2019-Jun-12 at 20:41

Make isn't designed for this sort of thing. It doesn't like circular dependencies. Trying to get around it using pure make would likely create a hard-to-maintain makefile. I would try creating an artifact file, and using shell logic to do the copy as follows:

Source https://stackoverflow.com/questions/56569328

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

Vulnerabilities

No vulnerabilities reported

Install py2nb

You can install using 'pip install py2nb' or download it from GitHub, PyPI.
You can use py2nb like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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