The Right Way to Access a Dictionary

The Right Way to Access a Dictionary

Be Careful! You might have been doing it wrong. The dictionary is one of the data structures that are ready to use when programming in Python.

The dictionary is one of the data structures that are ready to use when programming in Python.

Before We Start, What is a Dictionary?

Dictionary is an unordered and unordered Python collection that maps unique keys to some values. In Python, dictionaries are written by using curly brackets {} . The key is separated from the key by a colon : and every key-value pair is separated by a comma ,. Here’s how dictionaries are declared in Python.

#A dictionary containing basketball players with their heights in m
playersHeight = {"Lebron James": 2.06,
                 "Kevin Durant": 2.08, 
                 "Luka Doncic": 2.01,
                 "James Harden": 1.96}

We have created the dictionary, however, what’s good about it if we cannot retrieve the data again right? This is where a lot of people do it wrong. I should admit, I was among them not long ago. After I realize the advantage, I never turn back even once. That’s why I am motivated to share it with you guys.

The Wrong Way

The well-known, or I should say the traditional way to access a value in a dictionary is by referring to its key name, inside a square bracket.

print(playersHeight["Lebron James"]) #print 2.06
print(playersHeight["Kevin Durant"]) #print 2.08
print(playersHeight["Luka Doncic"]) #print 2.01
print(playersHeight["James Harden"]) #print 1.96

Everything seems OK, right? Not so fast! What do you think will happen if you type a basketball player’s name that is not in the dictionary? Look closely

playersHeight["Kyrie Irving"] #KeyError 'Kyrie Irving'

Notice that when you want to access the value of the key that doesn’t exist in the dictionary will result in a KeyError. This could quickly escalate into a major problem, especially when you are building a huge project. Fret not! There are certainly one or two ways to go around this.

technology software-engineering artificial-intelligence programming python

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Software Developer vs Software Engineer — Differences: Bogus or Real?

In this article, see if there are any differences between software developers and software engineers. What you’re about to read mostly revolves around my personal thoughts, deductions, and offbeat imagination. If you have different sentiments, add them in the comment section, and let’s dispute! So, today’s topic…

Artificial Intelligence with Python | Artificial Intelligence Tutorial

"Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.

Python Programming: A Beginner’s Guide

Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it?

Guide to Python Programming Language

Guide to Python Programming Language

Bursting the top 7 common Myths about Artificial Intelligence by Rebecca Harrison

Artificial Intelligence has been the go-to technology for companies and enterprises in recent years. The adoption of AI by enterprises all around the world has grown by 270% in the last four years a...