Skip to main content

A tool to flatten directories and update paths in LaTeX projects for journal submission.

Project description

Prepare LaTeX for ManuscriptCentral Submission

This package helps flatten directories and update paths in a LaTeX project to prepare it for journal submission.

It does the following operations:

  • it flattens paths and put all images / PDFs in the root directory
  • it changes the paths in the tex file
  • it crops image names to 64 characters to fit ManuscriptCentral requirements.

Installation

It is possible to install the package directly from PyPI:

pip install preparelatexforsubmission

of from this GitHub repository with:

pip install git+https://github.com/yourgithub/preparelatexforsubmission.git

Instructions

1 - Download zip file from Overleaf

2 - Unzip it

3 - in terminal run:

prepare-latex-submission main.tex

Credits

Please, if you use this tool, take into consideration to cite one of my papers :)

This is my Scholar profile, thank you!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

preparelatexforsubmission-0.1.3.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

preparelatexforsubmission-0.1.3-py3-none-any.whl (4.3 kB view details)

Uploaded Python 3

File details

Details for the file preparelatexforsubmission-0.1.3.tar.gz.

File metadata

File hashes

Hashes for preparelatexforsubmission-0.1.3.tar.gz
Algorithm Hash digest
SHA256 a078e00b34bfc342c8b449cd664f204c7134743300dd6a97f5a09ee4c559e86f
MD5 deeca843da7f94740521a8644663a820
BLAKE2b-256 456671a9626d9d4608ee61d63ce77df06fe085178965dbc41acb53be0434ca0e

See more details on using hashes here.

File details

Details for the file preparelatexforsubmission-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for preparelatexforsubmission-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 628410a58f107fe3e73aa0baaa3707739a2b4ea74503d31eb34e5a805c05013e
MD5 15ae06e39051137861625051d53ad29e
BLAKE2b-256 a10d6fea7764e0a3e89d04fdeb790e9d04e8618a25fb07e3f878a1431d8cb877

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page