md-environ | Python-Markdown extension to use environment variables
kandi X-RAY | md-environ Summary
kandi X-RAY | md-environ Summary
This is an extension to Python-Markdown which allows environment variables to be inserted into the text. I originally wrote it for my FORD Fortran auto-documentation generator. ##Installation This module can now be installed using pip.
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Top functions reviewed by kandi - BETA
- Add environ .
- Return an Environ extension .
- Handle match .
md-environ Key Features
md-environ Examples and Code Snippets
pip install md-environ
import markdown
html = markdown.markdown(source, extensions=['md_environ.environ'])
Community Discussions
Trending Discussions on md-environ
QUESTION
js file that is using a npm node module greetings
and I use my app.js in the browser with browserify:
My index.html looks like this:
I know that the source code of the file app.js
is now embedded in the file bundle.js
.
I have now the Requirement that my production code contains the app.js
and a additional libary containing the node modules like this:
This means that the client gets the app.js
file and the bundle.js
file and that I now can use the node modules from my app.js
like this:
Basically I just want a bundle.js
that is used as libary for my app.js
and contains the node modules in a way that I can include them in browser side JavaScript.
I also tired to use the client side file and module loader. require.js
to load node_modules but according to this thread it does not work.
ANSWER
Answered 2017-Mar-04 at 18:25You need to use browserify's -r
& -x
options: https://github.com/substack/node-browserify#multiple-bundles
To compile your code, run:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install md-environ
You can use md-environ 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.
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