Cleaning up a directory

Continuing your work as a data scientist in a large organization, you were told today that a colleague has left for their dream job (lucky them!). Unfortunately, when their logins were terminated, all their files were dumped into a single folder.

The good news is that most of their useful code has been backed up. However, all their python files using the Random Forest algorithm are buried in the file dump.

The task has fallen to you to sift through the hundreds of files to determine if they are both Python files and contain a Random Forest model. This sounds like a perfect opportunity to use your Bash skills, rather than checking every single file manually.

Write a script that loops through each file in the robs_files/ directory to see if it is a Python file (ends in .py) AND contains RandomForestClassifier. If so, move it into the to_keep/ directory.

This exercise is part of the course

Introduction to Bash Scripting

Hands-on interactive exercise

Turn theory into action with one of our interactive exercises

This exercise is part of the course

Introduction to Bash Scripting

IntermediateSkill Level

4.7+

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Save yourself time when performing complex repetitive tasks. You’ll begin this course by refreshing your knowledge of common command-line programs and arguments before quickly moving into the world of Bash scripting. You’ll create simple command-line pipelines and then transform these into Bash scripts. You’ll then boost your skills and learn about standard streams and feeding arguments to your Bash scripts.

Exercise 1: Introduction and refresher Exercise 2: Extracting scores with shell Exercise 3: Searching a book with shell Exercise 4: Your first Bash script Exercise 5: A simple Bash script Exercise 6: Shell pipelines to Bash scripts Exercise 7: Extract and edit using Bash scripts Exercise 8: Standard streams & arguments Exercise 9: Using arguments in Bash scripts Exercise 10: Using arguments with HR data

Master the bread and butter of Bash scripts—variables! In this chapter, you’ll learn how to create basic string and numeric variables, and perform calculations on these variables. You’ll also learn about the magic of a shell-within-a-shell (shell-ception), opening up huge opportunities for advanced scripting.

Exercise 1: Basic variables in Bash Exercise 2: Using variables in Bash Exercise 3: Shell within a shell Exercise 4: Numeric variables in Bash Exercise 5: Converting Fahrenheit to Celsius Exercise 6: Extracting data from files Exercise 7: Arrays in Bash Exercise 8: Creating an array Exercise 9: Creating associative arrays Exercise 10: Climate calculations in Bash

Life isn't always linear and neither should your Bash scripts. In this chapter, you’ll take your Bash scripts to the next level by learning control statements. You’ll learn the differences between FOR, WHILE, IF, and CASE statements and how to use them in your Bash scripts. Armed with these new tools, you’ll be ready to create more advanced Bash scripts with conditional logic.

Exercise 1: IF statements Exercise 2: Sorting model results Exercise 3: Moving relevant files Exercise 4: FOR loops & WHILE statements Exercise 5: A simple FOR loop Exercise 6: Correcting a WHILE statement Exercise 7: Cleaning up a directory

Current Exercise

Exercise 8: CASE statements Exercise 9: Days of the week with CASE Exercise 10: Moving model results with CASE Exercise 11: Finishing a CASE statement

Give your Bash scripts a powerful new addition by building useful functions to process data and variables. In this last chapter, you will learn the structure of functions in Bash, how to use functions to help automate frequent tasks, and program your scripts to run on schedule without needing to even lift a finger.

Exercise 1: Basic functions in Bash Exercise 2: Uploading model results to the cloud Exercise 3: Get the current day Exercise 4: Arguments, return values, and scope Exercise 5: A percentage calculator Exercise 6: Sports analytics function Exercise 7: Summing an array Exercise 8: Scheduling your scripts with Cron Exercise 9: Analyzing a crontab schedule Exercise 10: Creating cronjobs Exercise 11: Scheduling cronjobs with crontab Exercise 12: Thanks and wrap up