So far in this Python Programming Advanced course, we've gone over Object-Oriented Programming and Exception Handling.
In this module, we'll learn about advanced string manipulation, which is essential to working with data represented as text. We will also learn about lambda functions or anonymous functions, which are useful if you want to run a function once and don't need to save it for reuse.
To facilitate your learning of lambda functions and other string manipulation techniques, you'll work with a user password list. You'll use the password list to find interesting trends in how people select their password.
Because you'll be working with real-world data, you will have the opportunity to think like a data analyst or data scientist as you explore a dataset. By the end of this module, you will have a better working knowledge of regular expressions and how to use them to do some powerful string manipulation with lambda functions.
As you work through this lambda functions module, you’ll get to apply what you’ve learned from within your browser — there's no need to use your own machine to do the exercises. The Python environment inside of this course includes answer checking so you can ensure that you've fully mastered each concept before learning the next.
1. Introduction to String Manipulation
2. Omitting Starting or Ending Indices
3. Skipping Indices in a Slice with Steps
4. Negative Indexing
5. Overview of the Password Data
6. Searching for Substrings
7. First-Class Functions
8. Average Password Length
9. More Uses for First-Class Functions
10. Lambda Functions
11. Password Strengths