Book Image

The Python Workshop - Second Edition

By : Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee
4.7 (3)
Book Image

The Python Workshop - Second Edition

4.7 (3)
By: Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
13
Chapter 13: The Evolution of Python – Discovering New Python Features

Dictionary methods

All Python types, including dictionaries, have their own methods. Since dictionaries include keys and values, it’s common to access them using dictionary methods. In the following exercise, you will use dictionary methods to access and display dictionary elements.

Exercise 30 – accessing a dictionary using dictionary methods

In this exercise, you will learn how to access a dictionary using dictionary methods. The goal of this exercise is to print the order values against the item while accessing dictionary methods:

  1. Open a new Jupyter Notebook.
  2. Enter the following code in a new cell:
    album_sales = {'barbara':150, 'aretha':75, 
      'madonna':300, 'mariah':220}
    print( album_sales.values())
    print(list( album_sales.values()))

The output is as follows:

dict_values([150, 75, 300, 220])
 [150, 75, 300, 220]

The values() method in this code returns an iterable object. To use the values straight away, you can wrap them in a list directly.

  1. Now, obtain a list of keys in a dictionary by using the keys() method:
    print(list(album_sales.keys()))

The output is as follows:

['barbara', 'aretha', 'madonna', 'mariah']
  1. Although you can’t directly iterate a dictionary, you can loop through the dictionary by using the items() method, as in the following code snippet:
    for item in  album_sales.items():
      print(item)

The output is as follows:

('barbara', 150)
aretha75('madonna', 300)
('mariah', 220)

In this exercise, you created a dictionary, accessed the keys and values of the dictionary, and looped through the dictionary.

The last step, showing the dictionary keys and values in parentheses, presents a new Python type, a tuple, as explained in the next section.