This book is suitable for anyone who wants to deal with some kinds of data! such as students or researchers who want to add Bash and other command line tools to their bag of tricks, scientists who want to learn to explore and analyze the data that their lab generates, or even journalists who want to polish their reporting by analyzing publicly-available data sets.
If you haven’t used Bash before, feel free to skip the projects and get to the tutorials part. Read the tutorials and then come back to the projects again. The tutorial section will introduce with bash scripting, regular expressions, AWK, sed, grep and so on.
Bash may not be the best way to handle all kinds of data, but there often comes a time when you are provided with a pure Bash environment, such as what we get in the common Linux-based Supercomputers and you just want an early result or view of the data before driving into the real programming, using Python, R and SQL, SPSS, and so on. Expertise in data-intensive languages comes at the price of spending a lot of time on them. In contrast, bash scripting is simple, easy to learn and perfect for mining textual data.
You wouldn't not find many beginner's books that discuss Bash in the context of data sciences! I wanted to create a super beginner friendly reading material that would help the people who are not very much familiar with Bash/Linux, but willing to use the power of it. I hope you will enjoy it!
If you are completely not satisfied, you can get a refund within 7 days of purchase.