Python Toolbox Data Camp

Overview

Context

In this Python Toolbox course offered by Data Camp, you'll continue to build more advanced Python skills. 

First, you'll learn about iterators, objects you have already encountered in the context of for loops. You'll then learn about list comprehensions, which are extremely handy tools for all data professionals and developers working in Python. 

You'll end the course by working through a case study in which you'll apply all the techniques you learned in both parts of this course.The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos. 

What you'll learn:

• Assess methods for loading and processing large or streaming datasets using pandas chunksize and custom generator functions
• Define the sequential steps required to aggregate data extracted from iterators, comprehensions, or generators into meaningful summary statistics
• Differentiate scenarios in which list comprehensions, generator expressions, or iterator-based chunk processing provide optimal memory efficiency
• Identify the characteristics and behaviors of Python iterables and iterators within the for-loop execution model
• Recognize the correct syntax and resulting structures of list comprehensions, dictionary comprehensions, and generator expressions