Command Line for Data Science

Introduction

A R Markdown / Notebook that walks through the various unix commands handy for data scientists. Great for self-taught software developers that are trying to gain familiarity with using command line to work with data.

Examples of using unix commands to complement your data science work:

• Peek at data (head / tail)
• Inspect number of rows / columns
• Combine data by merging rows / columns
• Data preparation (remove header row, replace separator, aggregate)
• Use regex for search-and-replace
• Compression / Decompress
• sed, awk and other text processing utility
• Other common use-cases

This workbook (R Markdown) will be continually updated and expanded upon. Interested? Clone / Fork the repo;

Please feel free to submit Pull Requests.

TODO

• Add attribution to authors / reference materials
• Add more chapters to cover new use-cases