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In this Python Beginner Tutorial, we will begin learning about dictionaries. Dictionaries allow us to work with key-value pairs in Python.
- 10 min
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- Corey Schafer
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Whether you're a beginner or an experienced coder, this video covers everything you need to know about Python dictionaries, from the basics of key-value pairs to advanced techniques like...
- 24 min
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- Akhilesh Gupta
Nov 28, 2018 · Code With Harry is my attempt to teach basics and those coding techniques to people in short time which took me ages to learn. At Code With Harry, I provide a quick and to the point demo along ...
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Oct 9, 2023 · This article contains 13 Python dictionary examples with explanations and code that you can run and learn with! Dictionaries are one of Python’s most fundamental data types; they are widely used to represent real-world data and structures.
- Creating A Python Dictionary
- Access and Delete A Key-Value Pair
- Using Try… Except
- Valid Dictionary Values
- Valid Dictionary Keys
- More Ways to Create A Python Dictionary
- Dictionary View Objects
- Merging Dictionaries
- Comparing Python Dictionaries
- Conclusion
Let’s look at how we can create and use a Python dictionary in the Python REPL: A dictionary is created by using curly braces. Inside these braces, we can add one or more key-value pairs. The pairs are separated by commas when adding more than one key-value pair. The first dictionary in our example associates keys (names like Jack and Pete) with va...
Now that you’ve seen how to initialize a dictionary, let’s see how we can add and remove entries to an already existing one:
If a requested key does not exist, an exception of type KeyErroris thrown: If you know data can be missing, e.g., when parsing input from the outside world, make sure to surround your code with a try ... except KeyError. I’ve explained this in detail in the best practices section of my article on try… except. In that article, I also explain the con...
You can put anything in a dictionary. You’re not limited to numbers or strings. In fact, you can put dictionaries and Python listsinside your dictionary and access the nested values in a very natural way: Python’s JSON decoding and encoding libraryuses this feature of Python when parsing more complex JSON documents. It creates nested trees of lists...
You can go pretty wild on your dictionary keys, too. The only requirement is that the key is hashable. Mutable types like lists, dictionaries, and sets won’t work and result in an error like: TypeError: unhashable type: ‘dict’. Besides this limitation, you can use all data types as a dictionary key, including native types like a tuple, float and in...
Depending on your data source, there are more advanced ways to initialize a dictionary that might come in handy.
Some built-in dictionary methods return a view object, offering a window on your dictionary’s keys and values. Before we start using such view objects, there’s an important concept you need to understand: values in a view object change as the content of the dictionary changes.
If you’re running Python 3.9 or later, you can use the newly introduced merging operator for dictionaries: If you’re still on a Python version between 3.5 and 3.9, you can merge two dictionaries using the following method:
If you need to compare two dictionaries, you can use a comparison operator like this: This looks and sounds trivial, but it’s not! A dictionary can contain objects of any type, after all! Consequently, Python has to walk through all the keys and values and individually compare them. You might wonder if a dictionary with the same keys and values ins...
You’ve learned what a Python dictionary is, how to create dictionaries, and how to use them. We’ve examined many practical use cases involving Python dictionaries with example code. If there’s still something missing, or you simply want to learn even more about dictionaries, you can head over to the official manual page at Python.org.
Learn how to use dictionaries in Python to store and retrieve data efficiently. This tutorial covers the syntax, real-life examples, characteristics, and best practices of dictionaries, making it the perfect resource for beginners and experienced developers alike.
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Apr 1, 2022 · In this Python tutorial, you'll learn how to create a Python dictionary, how to use its methods, and dictionary comprehension, as well as which is better: a dictionary or a list. To get the most out of this tutorial, you should be already familiar with Python lists, for loops, conditional statements, and reading datasets with the reader() method.
