Analysis updated 2026-07-03
Set up a LaTeX writing workflow where one sentence per line makes version control diffs show exactly which sentence changed.
Generate publication-quality figures in Python using the included Matplotlib config script sized for standard journal column widths.
Establish a consistent math notation system for a paper that visually distinguishes variables, vectors, matrices, and random variables.
Format LaTeX tables with horizontal rules instead of grid lines to meet the style conventions of most academic journals.
| wookai/paper-tips-and-tricks | atlanhq/camelot | bytedance/byteps | |
|---|---|---|---|
| Stars | 3,716 | 3,716 | 3,717 |
| Language | Python | Python | Python |
| Setup difficulty | easy | easy | hard |
| Complexity | 1/5 | 2/5 | 4/5 |
| Audience | researcher | data | researcher |
Figures from each repo's GitHub metadata at analysis time.
This repository is a reference guide for researchers and students who write academic papers using LaTeX, which is a document preparation system widely used in science and engineering. The guide collects practical advice on formatting, notation, figures, and bibliography management, drawn from the authors' own experience. It is not a software tool but a curated set of guidelines, LaTeX code snippets, and example files. The typesetting section covers habits that make collaborative writing cleaner, such as putting one sentence per line in your source file so that version control tools show exactly which sentence changed in each edit. It also covers table formatting (using horizontal rules instead of vertical grid lines), number formatting (using a LaTeX package called siunitx to display units and large numbers consistently), and small typography details like preventing awkward line breaks between a label such as "Figure" and its number. The mathematical notation section recommends a consistent visual system for distinguishing variables, vectors, matrices, and random variables from one another, since mixing styles makes equations harder to follow. The bibliography section covers back-references, which let readers see which pages in the paper cite a given source. Figure creation gets its own detailed section. The advice is to write one script per data-driven figure, keep the script version-controlled alongside the paper, and generate figures as PDF or PGF files rather than low-resolution raster images. A Python helper script is included that configures Matplotlib, a popular Python charting library, to output figures sized and styled to match a typical journal column width. The repository is aimed at anyone writing a scientific paper for the first time, or anyone who has picked up inconsistent habits over the years and wants a structured reference to tighten their work. All examples are in the repository and can be copied directly into a LaTeX project.
A practical reference guide for writing academic papers in LaTeX, covering formatting habits, math notation conventions, figure creation with Matplotlib, and bibliography tips drawn from experienced researchers.
Mainly Python. The stack also includes Python, LaTeX, Matplotlib.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.