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Скачать или смотреть How to Efficiently Append Values to a Dictionary in Python Using a Loop

  • vlogize
  • 2025-10-07
  • 2
How to Efficiently Append Values to a Dictionary in Python Using a Loop
Append values to dictionary in for loop pythonpythonpython 3.xdictionary
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Описание к видео How to Efficiently Append Values to a Dictionary in Python Using a Loop

Discover how to correctly append key-value pairs to a dictionary in Python using loops. Learn the best methods to avoid overwriting data and achieve the expected output with ease.
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This video is based on the question https://stackoverflow.com/q/63969384/ asked by the user 'Rahul Anand' ( https://stackoverflow.com/u/9466142/ ) and on the answer https://stackoverflow.com/a/63969495/ provided by the user 'baduker' ( https://stackoverflow.com/u/6106791/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Append values to dictionary in for loop, python

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Mastering Dictionary Manipulation in Python: Appending Values in a Loop

Working with dictionaries in Python is essential for any programmer, yet it can be a bit tricky when it comes to appending values in a loop. You might find yourself struggling with how to properly update a dictionary without losing previously stored values. In this post, we will explore how to append key-value pairs to a dictionary effectively in Python.

Understanding the Problem

You may have observed that attempting to append values in a loop using the dict.update() method often leads to overwriting the last value. This occurs because dictionaries in Python must maintain unique keys; when a key is repeated, the last value assigned to that key is what remains in the dictionary. This can be quite frustrating if you're trying to build a collection of entries.

Sample Input

Consider the following list of file names:

[[See Video to Reveal this Text or Code Snippet]]

The goal is to create a dictionary that includes both the name and a text placeholder for each file.

Solution: Properly Appending Values to a Dictionary

There are a couple of effective approaches to achieve the desired output without overwriting data. Here are two simple yet effective methods that you can use:

Method 1: Using List Comprehension

List comprehension is a concise way to create lists and can also be leveraged to create a collection of dictionaries easily. The syntax is straightforward and requires fewer lines of code.

[[See Video to Reveal this Text or Code Snippet]]

Output

This will generate the following output:

[[See Video to Reveal this Text or Code Snippet]]

Method 2: Using a For Loop and append()

If you prefer using a for loop, you can build your dictionary by appending entries to a list. This method is quite intuitive and allows for more complex operations if needed.

[[See Video to Reveal this Text or Code Snippet]]

Expected Output

You will get the same result as with the list comprehension:

[[See Video to Reveal this Text or Code Snippet]]

Why Your Original Approach Doesn’t Work

If you attempted to use the update() method directly in your loop like this:

[[See Video to Reveal this Text or Code Snippet]]

you would encounter a problem: final_dict will ultimately only retain the last name and text pair because keys within a dictionary need to be unique.

The Result

Using the method above would give you:

[[See Video to Reveal this Text or Code Snippet]]

This shows that all previous names were overwritten, leaving just the last one.

Conclusion

When working with dictionaries in Python, it is crucial to understand how to append values correctly to avoid data loss. Whether you prefer list comprehensions for their brevity or loops for their clarity, mastering these techniques will significantly streamline your programming tasks.

If you follow the methods outlined here, you'll be well on your way to managing dictionaries like a pro!

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