Coding with AI

Code Faster. Think Smarter. Ship Better—with AI.

Stop fighting boilerplate and busywork. Coding with AI shows professional Python developers how to use AI tools to accelerate design, coding, testing, debugging, and documentation—without sacrificing quality or control. Learn proven prompts, real workflows, and practical techniques you’ll use on the job every day.

Explore the book ->


The Power of Zipping and Unpacking in Python

This article will teach you about the built-in functionality that can turn two lists into a dictionary. …

Updated November 3, 2023

This article will teach you about the built-in functionality that can turn two lists into a dictionary.

Python’s built-in zip function allows us to iterate over multiple lists simultaneously. You may have seen it used with two lists, like this:

list1 = ['a', 'b', 'c']
list2 = [1, 2, 3]
for item in zip(list1, list2):
    print(item) # prints ('a', 1), ('b', 2), ('c', 3)

You can easily turn the result of a zip() into a dictionary by using Python’s unpacking syntax:

dict_from_lists = dict(zip(list1, list2)) # {'a': 1, 'b': 2, 'c': 3}

In this way, the first elements of all input lists are paired together to form a dictionary. This can be useful when you have multiple lists representing different aspects of one thing and you want them combined into a single object.

Another approach is using the fromkeys() method. It creates a new dictionary where keys are from an iterable and values are all the same (default is None):

list1 = ['a', 'b', 'c']
value = 10
dictionary = dict.fromkeys(list1, value) # {'a': 10, 'b': 10, 'c': 10}

In this way, all keys in the list get mapped to the same value. This can be useful if you want a dictionary with certain keys but not concerned about their values.

Coding with AI

AI Is Changing Software Development. This Is How Pros Use It.

Written for working developers, Coding with AI goes beyond hype to show how AI fits into real production workflows. Learn how to integrate AI into Python projects, avoid hallucinations, refactor safely, generate tests and docs, and reclaim hours of development time—using techniques tested in real-world projects.

Explore the book ->