Processing data and pipelines

As a data scientist, you often need to handle and process large datasets. Bash provides powerful tools for data processing and creating pipelines, which are sequences of processes chained by their standard streams. This allows the output of one command to be passed as input to the next. Several commands in Bash are incredibly useful for data processing. Here are a few examples:

• cat: Concatenates and displays the content of files.
• cut: Removes sections from lines of files.
• sort: Sorts lines in text files.
• uniq: Removes duplicate lines from a sorted file.
• head filename and tail filename: These commands output the first and last 10 lines of a file, respectively. You can specify the number of lines by adding -n, as in head -n 20 filename.

Here’s an example of using cat, sort, and uniq to display the unique lines in a file:

cat filename | sort | uniq

The cat function displays the contents of the file. The pipe (|)...