Generators are a concept unique to Python. They’re incredibly helpful if you know how and when to use them. Simply put, generators are possibly the best way to iterate through large and complex data sets. In this course, Megan Amendola covers the basics you need to know about Python generators, starting from what they are, how to create them, what they’re for, and ways to use them. Megan teaches you the benefit of using Python generators to improve your program’s performance and save memory when working with large data sets using generator functions. She also covers what Python’s yield keyword is and what it does, how to create a generator expression, how to combine multiple generators into a pipeline, and more. Megan also provides challenges and solutions as you go along so you can test your knowledge as you learn.
