Package for converting collection of markdown files and macros into talks and notes.
Project description
makemd
A set of scripts for converting markdown files into talks.
The scripts rely on the generic preprocessor, gpp
, https://github.com/logological/gpp. On Linux it can be installed using
apt-get install gpp
And on OSX it's available through brew.
brew install gpp
The code wraps gpp and creates make files for doing the conversion.
maketalk
: for converting talk files from markdown to other formats.makecv
: for converting CVs from markdown to other formats.flags
: For extracting flags for pandoc's use from the configuration file_config.yml
mdfield
: for extracting a field from markdown header file.dependencies
: for listing the dependencies in a given markdown file.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lamd-0.1.1.tar.gz
(18.4 kB
view details)
Built Distribution
lamd-0.1.1-py2.py3-none-any.whl
(78.7 kB
view details)
File details
Details for the file lamd-0.1.1.tar.gz
.
File metadata
- Download URL: lamd-0.1.1.tar.gz
- Upload date:
- Size: 18.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ccce945c16a1b6c82cefa0f4fb65c109bb1d324512192dbb46572dc4bcf48334 |
|
MD5 | a0d25298c09b5e5bfa006c00b49df4dd |
|
BLAKE2b-256 | 61c91636a3ca220540d846ed280c258c249cbd494dd5b3acd510eab76ad36644 |
File details
Details for the file lamd-0.1.1-py2.py3-none-any.whl
.
File metadata
- Download URL: lamd-0.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 78.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56a2bdcdd72aaccaf532b0ab91ca06fcc96a1a1ec234ba3d1e3aa087fedd318a |
|
MD5 | b7d0f0dc605fc8094a0440927d738b90 |
|
BLAKE2b-256 | 18dd54dce2b3382cd0758feeaa49edb5968d22f05c36ea8edb1b385273972807 |