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Python Toolbox

Intermediate

4.5+

Updated 12/2024

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

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PythonSoftware Development4 hours12 videos46 exercises3,800 XP285,732Statement of Accomplishment

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Course Description

In this Python Toolbox course, 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.

Prerequisites

Introduction to Functions in Python

1

Using iterators in PythonLand

Introduction to iterators

Iterators vs. Iterables

Iterating over iterables (1)

Iterating over iterables (2)

Iterators as function arguments

Playing with iterators

Using enumerate

Using * and zip to 'unzip'

Using iterators to load large files into memory

Processing large amounts of Twitter data

Extracting information for large amounts of Twitter data

Congratulations!

2

List comprehensions and generators

List comprehensions

Write a basic list comprehension

List comprehension over iterables

Writing list comprehensions

Nested list comprehensions

Advanced comprehensions

Using conditionals in comprehensions (1)

Using conditionals in comprehensions (2)

Dict comprehensions

Introduction to generator expressions

List comprehensions vs. generators

Write your own generator expressions

Changing the output in generator expressions

Build a generator

Wrapping up comprehensions and generators.

List comprehensions for time-stamped data

Conditional list comprehensions for time-stamped data

3

Bringing it all together!

Welcome to the case study!

Zipping dictionaries

Writing a function to help you

Using a list comprehension

Turning this all into a DataFrame

Using Python generators for streaming data

Processing data in chunks (1)

Writing a generator to load data in chunks (2)

Writing a generator to load data in chunks (3)

Using pandas' read_csv iterator for streaming data

Writing an iterator to load data in chunks (1)

Writing an iterator to load data in chunks (2)

Writing an iterator to load data in chunks (3)

Writing an iterator to load data in chunks (4)

Writing an iterator to load data in chunks (5)

Final thoughts

Python Toolbox

Course
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*4.5

from 106 reviews

71%

17%

6%

5%

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Most recent
Top reviews

Miguel B.

6 days

Challenging

Subramanyam J.

10 days

Well designed course

Alexander O.

about 2 months

An excellent course to learn about Generators and iterators. I enjoyed every bit of learning.

Sue D.

about 2 months

A very interesting course, and stunning instructor!

Enrique N.

2 months

A great way to deepen your understanding of Python.

"Challenging"

Miguel B.

"Well designed course"

Subramanyam J.

"An excellent course to learn about Generators and iterators. I enjoyed every bit of learning."

Alexander O.

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