parse   3079

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ericchiang/pup
> Parsing HTML at the command line
html  parse  query  cli 
13 days ago by barryf
Quickstart — xmldataset documentation
Simplifying the process of extracting data from XML, so you can get on with more useful stuff
Parse  python  Repo  scraping  Doc 
19 days ago by Komet_Kazi
xmldataset: simple xml parsing — xmldataset documentation
xmldataset addresses this through an easy to use plaintext declaration that follows the structure of the XML document. The declaration is indented, matching the XML structure, the data we are interested in is tagged against a dataset.
Parse  Doc  Patterns  python 
19 days ago by Komet_Kazi
cssselect2: CSS selectors for Python ElementTree — cssselect2 0.2.1 documentation
cssselect2 is a straightforward implementation of CSS3 Selectors for markup documents (HTML, XML, etc.) that can be read by ElementTree-like parsers (including cElementTree, lxml, html5lib_, etc.)
CSS  Doc  Parse  Patterns  Py 
20 days ago by Komet_Kazi
WeasyPrint — WeasyPrint 51 documentation
The Awesome Document Factory

WeasyPrint is a smart solution helping web developers to create PDF documents. It turns simple HTML pages into gorgeous statistical reports, invoices, tickets…

From a technical point of view, WeasyPrint is a visual rendering engine for HTML and CSS that can export to PDF and PNG. It aims to support web standards for printing. WeasyPrint is free software made available under a BSD license.
Doc  Design  Parse  Patterns  Py 
20 days ago by Komet_Kazi
Creating Excel files with Python and XlsxWriter — XlsxWriter Documentation
XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format.

It can be used to write text, numbers, and formulas to multiple worksheets and it supports features such as formatting, images, charts, page setup, autofilters, conditional formatting and many others.
Doc  Instructions  Parse  Py 
20 days ago by Komet_Kazi
5 Tasty Python Web Scraping Libraries
You should learn at least one of BeautifulSoup or lxml. Pick depending on which is more intuitive for you (more on this below).
Learn Selenium if you need to scrape sites with data tucked away by JavaScript.
Learn Scrapy if you need to build a real spider or web-crawler, instead of just scraping a few pages here and there.

Why are they tasty?

Because they are yummy! So without further ado…

The Farm: Requests
The Stew: Beautiful Soup 4
The Salad: lxml
The Restaurant: Selenium
The Chef: Scrapy
Instructions  Parse 
21 days ago by Komet_Kazi
Beautiful Soup Documentation — Beautiful Soup 4.4.0 documentation
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.
Py  Doc  Parse 
21 days ago by Komet_Kazi
maruel/panicparse: Crash your app in style (Golang)
Crash your app in style (Golang). Contribute to maruel/panicparse development by creating an account on GitHub.
go  github  panic  parse  debugging  errors 
6 weeks ago by raskchanky

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