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1
Intro
2
Dataset from kaggle
3
Introduction to shell
4
date command in bash zsh
5
Shell variables
6
Environment variables vs Shell variables
7
cd change directory command
8
mkdir make directory command
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rm -r remove recursively command
10
mv move command
11
pwd print working directory command
12
&& in bash
13
unzip unzip a file command
14
ls list command
15
cp copy command
16
-v verbose option
17
wc wordcount command
18
* for wildcard
19
head / tail -n first / last n lines of file
20
| pipe character in shell
21
cut command in bash
22
shell redirection
23
attach to append to file
24
cat concatenate to print contents
25
cut -d, -f colnum for csv
26
sort command
27
uniq command
28
arithmetic add, minus etc in shell
29
$ for arithmetic expansion
30
expr to evaluate an expression in Unix
31
data cleansing / preparation / exploratory scenarios in shell bash
32
paste command
33
bc in shell basic calculator
Description:
Learn essential shell commands for data scientists and analysts in this comprehensive command line tutorial. Explore practical techniques for data preparation, cleansing, and analysis using bash commands. Discover how to manipulate files, process data, and perform basic arithmetic operations in the shell. Master key commands such as date, cd, mkdir, rm, mv, pwd, unzip, ls, cp, wc, head, tail, cut, sort, and uniq. Gain hands-on experience with shell variables, environment variables, wildcards, pipes, and redirection. Apply these skills to real-world data science scenarios using a Kaggle dataset. Enhance your data manipulation toolkit and streamline your workflow with powerful command line tools.

Practical Shell Commands for Data Scientists and Analysts - Command Line Tutorial

Samuel Chan
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