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Course 4 - Learning Linux Shell Scripting | Episode 4: Shell Text Processing: Mastering Utilities and Regular Expressions
In this lesson, you’ll learn about: 🧠 Core Concept: Text Processing in Unix/Linux
This section, titled “Texting and Driving,” focuses on the art and science of text manipulation—a cornerstone of shell scripting. You’ll explore powerful utilities like grep, sed, awk (or ORC), and cut, all built around Regular Expressions (REs)—a miniature programming language for pattern matching across characters, words, lines, columns, and rows. 🔍 Core Utilities and Functions
• Grep (Searching and Mining): Search for text patterns within files using features like:
• Word Frequency Analysis: Combine grep and awk to count and rank words in a file.
• JavaScript Compression/Decompression: Automate whitespace and comment removal (minification) and reverse it for readability.
• File Merging and Ordering: Merge files side-by-side with paste, or reverse file content using tac or awk.
• Data Extraction and Slicing: Print specific words, columns, or text blocks based on line ranges or patterns.
• Parsing and Filtering: Use regex to extract data like emails or URLs and remove sentences containing unwanted keywords.
• Batch Operations: Chain find, xargs, and sed to replace text patterns across entire directories.
• Bash Parameter Expansion: Apply text replacement and substring slicing directly within shell variables. 💡 Analogy for Understanding
Think of this section as receiving a master chef’s knife set—grep, sed, awk, and cut—alongside a recipe book of regular expressions. You’ll first learn how to sharpen your tools (master regex), then practice fine slicing, dicing, and blending (searching, replacing, parsing, slicing) to craft any data “dish” with surgical precision. This lesson equips you with professional-grade text processing skills—transforming raw, unstructured data into clean, organized information ready for automation or analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
This section, titled “Texting and Driving,” focuses on the art and science of text manipulation—a cornerstone of shell scripting. You’ll explore powerful utilities like grep, sed, awk (or ORC), and cut, all built around Regular Expressions (REs)—a miniature programming language for pattern matching across characters, words, lines, columns, and rows. 🔍 Core Utilities and Functions
• Grep (Searching and Mining): Search for text patterns within files using features like:
- -E for extended regex, -o to show only matches, -v to invert results, -c to count, -R for recursive searches, and -i for case-insensitive matching.
- Use multiple patterns and show context with -A, -B, and -C.
- Replace globally (/g), save edits in place (-i), use back-references (\1, \2), remove blank lines, and chain multiple expressions together.
- Use BEGIN, pattern/action, and END blocks.
- Employ variables like NR (line number), NF (number of fields), $1...$NF (fields).
- Pass variables with -v, filter with patterns, and apply string/array functions for rich data processing.
- Define custom delimiters (-d), select multiple fields, or slice by character (-c) or byte (-b) position.
• Word Frequency Analysis: Combine grep and awk to count and rank words in a file.
• JavaScript Compression/Decompression: Automate whitespace and comment removal (minification) and reverse it for readability.
• File Merging and Ordering: Merge files side-by-side with paste, or reverse file content using tac or awk.
• Data Extraction and Slicing: Print specific words, columns, or text blocks based on line ranges or patterns.
• Parsing and Filtering: Use regex to extract data like emails or URLs and remove sentences containing unwanted keywords.
• Batch Operations: Chain find, xargs, and sed to replace text patterns across entire directories.
• Bash Parameter Expansion: Apply text replacement and substring slicing directly within shell variables. 💡 Analogy for Understanding
Think of this section as receiving a master chef’s knife set—grep, sed, awk, and cut—alongside a recipe book of regular expressions. You’ll first learn how to sharpen your tools (master regex), then practice fine slicing, dicing, and blending (searching, replacing, parsing, slicing) to craft any data “dish” with surgical precision. This lesson equips you with professional-grade text processing skills—transforming raw, unstructured data into clean, organized information ready for automation or analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
View all episodes
By CyberCode AcademyIn this lesson, you’ll learn about: 🧠 Core Concept: Text Processing in Unix/Linux
This section, titled “Texting and Driving,” focuses on the art and science of text manipulation—a cornerstone of shell scripting. You’ll explore powerful utilities like grep, sed, awk (or ORC), and cut, all built around Regular Expressions (REs)—a miniature programming language for pattern matching across characters, words, lines, columns, and rows. 🔍 Core Utilities and Functions
• Grep (Searching and Mining): Search for text patterns within files using features like:
• Word Frequency Analysis: Combine grep and awk to count and rank words in a file.
• JavaScript Compression/Decompression: Automate whitespace and comment removal (minification) and reverse it for readability.
• File Merging and Ordering: Merge files side-by-side with paste, or reverse file content using tac or awk.
• Data Extraction and Slicing: Print specific words, columns, or text blocks based on line ranges or patterns.
• Parsing and Filtering: Use regex to extract data like emails or URLs and remove sentences containing unwanted keywords.
• Batch Operations: Chain find, xargs, and sed to replace text patterns across entire directories.
• Bash Parameter Expansion: Apply text replacement and substring slicing directly within shell variables. 💡 Analogy for Understanding
Think of this section as receiving a master chef’s knife set—grep, sed, awk, and cut—alongside a recipe book of regular expressions. You’ll first learn how to sharpen your tools (master regex), then practice fine slicing, dicing, and blending (searching, replacing, parsing, slicing) to craft any data “dish” with surgical precision. This lesson equips you with professional-grade text processing skills—transforming raw, unstructured data into clean, organized information ready for automation or analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
This section, titled “Texting and Driving,” focuses on the art and science of text manipulation—a cornerstone of shell scripting. You’ll explore powerful utilities like grep, sed, awk (or ORC), and cut, all built around Regular Expressions (REs)—a miniature programming language for pattern matching across characters, words, lines, columns, and rows. 🔍 Core Utilities and Functions
• Grep (Searching and Mining): Search for text patterns within files using features like:
- -E for extended regex, -o to show only matches, -v to invert results, -c to count, -R for recursive searches, and -i for case-insensitive matching.
- Use multiple patterns and show context with -A, -B, and -C.
- Replace globally (/g), save edits in place (-i), use back-references (\1, \2), remove blank lines, and chain multiple expressions together.
- Use BEGIN, pattern/action, and END blocks.
- Employ variables like NR (line number), NF (number of fields), $1...$NF (fields).
- Pass variables with -v, filter with patterns, and apply string/array functions for rich data processing.
- Define custom delimiters (-d), select multiple fields, or slice by character (-c) or byte (-b) position.
• Word Frequency Analysis: Combine grep and awk to count and rank words in a file.
• JavaScript Compression/Decompression: Automate whitespace and comment removal (minification) and reverse it for readability.
• File Merging and Ordering: Merge files side-by-side with paste, or reverse file content using tac or awk.
• Data Extraction and Slicing: Print specific words, columns, or text blocks based on line ranges or patterns.
• Parsing and Filtering: Use regex to extract data like emails or URLs and remove sentences containing unwanted keywords.
• Batch Operations: Chain find, xargs, and sed to replace text patterns across entire directories.
• Bash Parameter Expansion: Apply text replacement and substring slicing directly within shell variables. 💡 Analogy for Understanding
Think of this section as receiving a master chef’s knife set—grep, sed, awk, and cut—alongside a recipe book of regular expressions. You’ll first learn how to sharpen your tools (master regex), then practice fine slicing, dicing, and blending (searching, replacing, parsing, slicing) to craft any data “dish” with surgical precision. This lesson equips you with professional-grade text processing skills—transforming raw, unstructured data into clean, organized information ready for automation or analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy