This article will provide the reader with a brief overview for a number of different Linux commands. A special emphasis will be placed on explaining how each command can be used in the context of performing data science tasks. The goal will be to convince the reader that each of these commands can be extremely useful, and to allow them to understand what role each command can play when manipulating or analyzing data.
How to run an internet speed test from the Linux command line. We examine two tools that both use the speedtest.net service to test your connection speeds.
During the writing phase of an academic paper, common tasks include downloading PDFs of publications and getting their references into your bibliography. However, I am not a fan of navigating the slow, bloated, tracker-filled, and distracting webpages of academic journals and publication aggregators. For some reason, many publishers decided that clicking the "Download PDF" link should redirect the user to an unusable in-browser PDF viewer instead of providing the PDF file directly. While the majority of journal webpages provide formatted citations for their publications, these are inconsistent in style and content.
Converts csv files into LaTeX tables. Contribute to O2-AC/csv2tex development by creating an account on GitHub.
In this brief guide, we will discuss how to install 'motivate' and 'fortune' programs to display random quotes from commandline in Linux.
This brief guide explains how to configure Touchpad settings using gsettings commandline interface on Linux distributions with GNOME DE.
A framework for elegantly configuring complex applications.
JSON manipulation and transformation tool. Contribute to ldn-softdev/jtc development by creating an account on GitHub.
A modernized, complete, standalone TeX/LaTeX engine.
A system for automatically configuring mutt and isync with a simple interface and safe passwords.
An interactive cheatsheet tool for the command-line.
The CLI tool for explaining commands from your terminal.
This is a set of command line utilities for manipulating large tabular data files. Files of numeric and text data commonly found in machine learning, data mining, and similar environments. Filtering, sampling, statistics, joins, and more.
These tools are especially useful when working with large data sets. They run faster than other tools providing similar functionality, often by significant margins. See Performance Studies for comparisons with other tools.
They perform data manipulation and statistical calculations on tab delimited data. They are intended for large files. Larger than ideal for loading entirely in memory in an application like R, but not so big as to necessitate moving to Hadoop or similar distributed compute environments. The features supported are useful both for standalone analysis and for preparing data for use in R, Pandas, and similar toolkits.
From eBay.
Pngquant is a free, open source and cross-platform command-line lossy PNG compressor. It is based on a portable libimagequant library and is written in C99. It reduces the file size significantly by converting the PNG image to more efficient 8-bit PNG format and preserves full alpha transparency. As you may already know, 8-bit PNG files are often 60-80% smaller than 24/32-bit PNG files. The images compressed using Pngquant are fully-compatible with all web browsers and operating systems. Pngquant can compress one or multiple images at once.
Command-line translator using Google Translate, Bing Translator, Yandex.Translate, etc.
A Commandline Tool That Offers Quick Access to Files and Directories. Fasd (pronounced similar to "fast") is a command-line productivity booster. Fasd offers quick access to files and directories for POSIX shells. It is inspired by tools like autojump, z and v. Fasd keeps track of files and directories you have accessed, so that you can quickly reference them in the command line.