![]() These include the use of head,cat vi,nano. There are several ways we can view or read our dataset from the command line. We will have to install csvkit using sudo apt-get install python3-csvkitĬsvkit offers several tools to for working with csv files in data science The various tools we will be using includeīash comes with every Unix based system (Linux,MacOs,FreeBSD) as well as with Windows that has Linux Subsystem enabled. ![]() We will be checking how to use some CLI tools to do data analysis. Most data science projects are done with languages such as Python,R,Julia, Javascript,Java ,C languages,Matlab. We will be doing data analysis with the command line – shell or bash. In this tutorial we will be looking at how to use the command line when working with a data science project.
0 Comments
Leave a Reply. |