jupyter_latex_envs | LaTeX environments for Jupyter | Continuous Deployment library

by jfbercher HTML Version: 1.4.6 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | jupyter_latex_envs Summary

jupyter_latex_envs is a HTML library typically used in Devops, Continuous Deployment, Jupyter, Docker, Latex applications. jupyter_latex_envs has no bugs, it has no vulnerabilities and it has low support. However jupyter_latex_envs has a Non-SPDX License. You can download it from GitHub.

(Some) LaTeX environments for Jupyter

Support

Quality

Security

License

Reuse

Support

jupyter_latex_envs has a low active ecosystem.

It has 96 star(s) with 26 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 32 open issues and 11 have been closed. On average issues are closed in 21 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jupyter_latex_envs is 1.4.6

Quality

jupyter_latex_envs has 0 bugs and 0 code smells.

Security

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

jupyter_latex_envs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jupyter_latex_envs 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

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

Installation instructions, examples and code snippets are available.

It has 16160 lines of code, 30 functions and 11 files.

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

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jupyter_latex_envs Key Features

No Key Features are available at this moment for jupyter_latex_envs.

jupyter_latex_envs Examples and Code Snippets

No Code Snippets are available at this moment for jupyter_latex_envs.

Community Discussions

Trending Discussions on jupyter_latex_envs

mamba fails to create env

Tensorflow Python 3 Docker Image with mysql failing to install

QUESTION

mamba fails to create env

Asked 2021-Aug-04 at 05:11

I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

...

ANSWER

Answered 2021-Aug-04 at 05:11

After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from

Source https://stackoverflow.com/questions/68645697

QUESTION

Tensorflow Python 3 Docker Image with mysql failing to install

Asked 2020-Jan-07 at 15:37

Note: yes, there are many, many posts regarding the issues of installing mysql for python, specifically for python3 (e.g. Troubles installing mysqlclient with pip3). Most solutions are done in a non-dockerized manner. I have also read the mysqlclient install guide. I am still struggling to get it to work

A repo to clone and test for convenience.

Here I am trying to install it to my docker image.

Dockerfile.ai ...

ANSWER

Answered 2020-Jan-07 at 15:37

From "cannot find -lssl; cannot find -lcrypto" when installing mysql-python? it seems you need to install the libssl-dev package through apt

Source https://stackoverflow.com/questions/59620565

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

Vulnerabilities

No vulnerabilities reported

Install jupyter_latex_envs

The extension consists of a pypi package that includes a javascript notebook extension, along with python code for nbconvert support. Since Jupyter 4.2, pypi is the recommended way to distribute nbextensions. The extension can be installed. From the github repo or from Pypi,. For Jupyter versions before 4.2, the situation after step 1 is more tricky, since the --py option isn’t available, so you will have to find the location of the source files manually as follows (instructions adapted from \[@jcb91\](<https://github.com/jcb91>)'s [jupyter\_highlight\_selected\_word](https://github.com/jcb91/jupyter_highlight_selected_word)). Execute. where <output source directory> is the output of the first python command.
from the master version on the github repo (this will be always the most recent version)
via pip for the version hosted on Pypi
via conda, from the [conda-forge](https://conda-forge.github.io/) [channel](https://anaconda.org/conda-forge)
as part of the great [jupyter\_contrib\_nbextensions](https://github.com/ipython-contrib/jupyter_contrib_nbextensions) collection. Follow the instructions there for installing. Once this is done, you can open a tab at http://localhost:8888/nbextensions to enable and configure the various extensions.
install the package pip3 install https://github.com/jfbercher/jupyter_latex_envs/archive/master.zip [--user][--upgrade] or pip3 install jupyter_latex_envs [--user][--upgrade] or clone the repo and install git clone [https://github.com/jfbercher/jupyter\\\_latex\\\_envs.git](https://github.com/jfbercher/jupyter\_latex\_envs.git) python3 setup.py install
install the notebook extension jupyter nbextension install --py latex_envs [--user|--sys-prefix|--system]
and enable it jupyter nbextension enable --py latex_envs [--user|--sys-prefix|--system]

Support

The doc subdirectory that constains an example notebook and its html and pdf versions. This serves as the documentation. A demo notebook latex_env_doc.ipynb is provided. Its html version is [latex\_env\_doc.html](https://rawgit.com/jfbercher/jupyter_latex_envs/master/src/latex_envs/static/doc/latex_env_doc.html) serves as [documentation](https://rawgit.com/jfbercher/jupyter_latex_envs/master/src/latex_envs/static/doc/latex_env_doc.html).

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