Search Results for "data processing"

...This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. ...

...The tool also supports options like opening a selected result in a web browser, piping results into other tools, and restricting searches to specific formats such as text-only or JSON for further processing. Because it avoids third-party tracking and ads built into many browser search experiences, ddgr appeals to users seeking greater control over data and a faster, distraction-free search flow.

...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.

pup is a command line tool for processing HTML. It reads from stdin, prints to stdout, and allows the user to filter parts of the page using CSS selectors. Inspired by jq, pup aims to be a fast and flexible way of exploring HTML from the terminal. If you have Go installed on your computer just run go get. If you're on OS X, use Homebrew to install (no Go required). By default pup will fill in missing tags and properly indent the page. CSS selectors have a group of specifiers called "pseudo...