csv_log_cleaner
mdBook
csv_log_cleaner | mdBook | |
---|---|---|
2 | 101 | |
2 | 16,802 | |
- | 2.2% | |
6.3 | 8.6 | |
about 2 months ago | 6 days ago | |
Rust | Rust | |
MIT License | Mozilla Public License 2.0 |
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csv_log_cleaner
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How do you guys handle pandas and its sh*tty data type inference
Sounds like it could be more of a data cleansing problem you're facing than a data inference one. Even a single non-numerical value in a million rows of numbers will necessarily mess up type inference for the whole column. I work with a lot of CSVs and that's one of the issues we have to spend a huge amount of time dealing with. I even ended up writing this open source tool to handle the cleansing: https://github.com/ambidextrous/csv_log_cleaner
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Hey Rustaceans! Got a question? Ask here! (39/2022)!
Hi. I'm new to Rust. I've written up a little opensource tool to clean CSV files as a practical learning exercise that will help me with my job: https://github.com/ambidextrous/csv_cleaner Where would be a good place to post it for code review?
mdBook
- Everything Curl
- Doks – Build a Docs Site
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Ask HN: How do you organize software documentation at work?
I'm responsible for a number of Java products. I try to provide high-quality Javadoc for all public library interfaces, library user's guides where appropriate, and development guides for applications. The latter two take the form of MDBook documents (https://rust-lang.github.io/mdBook/), with the document source living in the GitHub repo so that it's tied to the particular software release in a natural way.
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Outline: Self hostable, realtime, Markdown compatible knowledge base
My org has used mdBook: https://rust-lang.github.io/mdBook/ (That link is itself a rendered mdBook, so that'll give you an idea of the feature set.)
(While it's definitely a Rust "thing", if you just have a set of .md files, all you need is a "SUMMARY.md" (which contains the ToC) and a small config file; i.e., you don't have to have any Rust code to use it, and it works fine without. We document a large, mostly non-Rust codebase with it.)
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Ask HN: Best tools for self-authoring books in 2023?
If you want the lowest friction, open source, easily extensible Markdown to Web, Kindle, PDF, etc. tool, highly recommend mdBook: https://github.com/rust-lang/mdBook it’s written in Rust, but you don’t have to know any Rust to use it. And then wing is all CSS; for which there are many good (free) themes.
- Early performance results from the prototype CHERI ARM Morello microarchitecture
- FLaNK Stack for 4th of July
- MdBook – A command line tool to create books with Markdown
- MdBook Create book from Markdown files. Like Gitbook but implemented in Rust
What are some alternatives?
unescape-rs - "Unescapes" strings with escape sequences written with literal characters and converts it into a properly escaped one.
gitbook - The open source frontend for GitBook doc sites
doku - fn(Code) -> Docs
MkDocs - Project documentation with Markdown.
CSVLint - CSV Lint plug-in for Notepad++ for syntax highlighting, csv validation, automatic column and datatype detecting, fixed width datasets, change datetime format, decimal separator, sort data, count unique values, convert to xml, json, sql etc. A plugin for data cleaning and working with messy data files.
Wiki.js - Wiki.js | A modern and powerful wiki app built on Node.js
mimalloc - mimalloc is a compact general purpose allocator with excellent performance.
bookdown - Authoring Books and Technical Documents with R Markdown
dtype_diet - Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
obsidian-releases - Community plugins list, theme list, and releases of Obsidian.
Peroxide - Rust numeric library with R, MATLAB & Python syntax
Docusaurus - Easy to maintain open source documentation websites.