pandas2numpy
gazpacho
| pandas2numpy | gazpacho | |
|---|---|---|
| 1 | 1 | |
| 3 | 731 | |
| - | - | |
| 1.8 | 3.2 | |
| about 3 years ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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pandas2numpy
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Ask HN: What are some tools / libraries you built yourself?
I wrote pandas2numpy [0] it helps you turn a pandas dataframe into one (or two if you have categorical variables) numpy tensors ready to be pushed into a deep learning framework.
It can deal with continuous data, categorical data, normalisation of the data, log scale and NA.
I found it really useful to work on tabular data and, since it uses numpy, it is agnostic to the deep-learning framework used.
[0]: https://github.com/nestordemeure/pandas2numpy
gazpacho
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Ask HN: What are some tools / libraries you built yourself?
I've been working on gazpacho [1] for last two years.
It's a general purpose web scraping library for Python that replaces BeautifulSoup + requests for most projects.
Just surpassed ~2K downloads every week!
[1] https://github.com/maxhumber/gazpacho
What are some alternatives?
tera - A template engine for Rust based on Jinja2/Django
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
Zip Foundation - Effortless ZIP Handling in Swift
lxml - The lxml XML toolkit for Python
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
fselect - Find files with SQL-like queries
xmltodict - Python module that makes working with XML feel like you are working with JSON
Pion WebRTC - Pure Go implementation of the WebRTC API
xhtml2pdf - A library for converting HTML into PDFs using ReportLab
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
untangle - Converts XML to Python objects