Gain insights into data processing using Bash, sed, awk, and RegEx. Explore sorting, searching, replacing, and optimizing data tasks interactively with animated videos, projects, quizzes, and tasks.

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2500+ students have taken this innovative project-based data learning course (includes video lectures). It demonstrates the use of Bash shell (Bash, sed and awk including RegEx) in processing textual data. It can help to learn to sort, search, match, replace, clean and optimize various aspects of data with Bash Shell. The target audience (students, researchers, scientists, journalists, data miners, developers) didn't have to go through any tough learning curve. This course also should have helped RedHat, SuSE and Ubuntu Linux learners and Data Science enthusiasts.  Regularly updated, new projects to come!

- Learn Bash commands interactively
- Projects with own stories and conclusive decisions
- Animated video lectures (for visual learners)
- Demonstrations
- Quizzes
- Learning tasks

Bloom's taxonomy (remember, understand, apply, analyze, evaluate and create) in developing your Linux skills. Learn Scientific Programming! scientificprogramming.io

Learn Data Science with Bash Shell

# What is GREP?

The command `grep` is a small utility for searching plain-text data sets for lines matching a regular expression. Its name comes from the globally search a regular expression and print.

A simple example of a common usage of grep is the following, which searches the file `colors.txt` for lines containing the text string `red`:

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$ grep "red" colors.txt
~~~~~~

The `v` option reverses the sense of the match and prints all lines that do not contain `blue`, as in this example.

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$ grep -v "blue" colors.txt
~~~~~~

The `i` option in grep helps to match words that are case insensitive, as shown in below example.

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$ grep -i "bLuE" colors.txt
~~~~~~

The `n` option identifies the lines where matches occurred:

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$ grep -n "orange" colors.txt
4: Orange color
6: Ornage company
~~~~~~


# GREP and regular expressions

While grep supports a handful of regular expression commands, it does not support certain useful sequences such as the + and ? operators. If you would like to use these, you will have to use extended grep (egrep).

The Following command illustrates the ?, which matches 1 or 0 occurences of the previous character `w`:

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$ grep  "yellow?" colors.txt
~~~~~~


`egrep` example:

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$ egrep  "red|yellow" colors.txt
~~~~~~

Note that `grep` does not do the pipe (|), which funcitons as an `"OR"` in the expression.

Course Introduction

Project 1: Analyzing the 'US News' University Ranking Data

Project 2: Facebook Data Mining

Project 3: Australian Cities Crime Statistics

Project 4: Shakespearean-era plays and poems data mining

Bash Tutorials

REGEX Tutorials

AWK Tutorials

SED, GREP and Find Tutorials

Beyond the Text Files! Enter into the Big Data Landscape - Concepts

Conclusion

Hello! GREP

What is GREP? #