Discover how to quickly merge two dictionaries in Python while combining duplicate values effectively! --- This video is based on the question https://stackoverflow.com/q/71140152/ asked by the user 'Matteo' ( https://stackoverflow.com/u/15873120/ ) and on the answer https://stackoverflow.com/a/71140342/ provided by the user 'Grismar' ( https://stackoverflow.com/u/4390160/ ) 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: Combine two dictionaries into one in Python Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... 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. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Merge Two Dictionaries in Python: A Step-by-Step Tutorial In the world of programming, working with dictionaries is a common task, especially in Python where dictionaries allow for flexible data storage in key-value pairs. Merging two dictionaries can come in handy, particularly when you want to combine data with shared keys without losing any information. In this post, we will explore a straightforward approach to merge two dictionaries effectively in Python, tackling a specific example related to school data from Firestore. The Problem at Hand You are attempting to merge two dictionaries that contain information on schools, where both dictionaries may have the same keys. Here’s a breakdown of your situation based on the code you provided: [[See Video to Reveal this Text or Code Snippet]] At the end of this code snippet, the output you’re receiving results in separate entries for each school, which is not what you want. You’d like to combine the information from the same school into a single dictionary entry, making it clearer and more organized. Your desired result looks something like this: [[See Video to Reveal this Text or Code Snippet]] The Solution To achieve this merging of dictionaries effectively, you can utilize Python's defaultdict from the collections module. This will help you keep track of values by automatically creating a new dictionary when needed. Here’s how you can modify your original code: Step 1: Import defaultdict First, import defaultdict: [[See Video to Reveal this Text or Code Snippet]] Step 2: Initialize the defaultdict Replace the initial list with a defaultdict where each key maps to a new dictionary: [[See Video to Reveal this Text or Code Snippet]] Step 3: Merge the Dictionaries Now, update your loop to add data directly into the message dictionary without nesting it in another layer. Here’s the modified code: [[See Video to Reveal this Text or Code Snippet]] Step 4: Convert to Final Format (Optional) If you need the final output in a specific format, you can then convert message with the following line of code: [[See Video to Reveal this Text or Code Snippet]] This step is optional and can be included if you prefer to further format your output. Conclusion Merging dictionaries in Python doesn’t have to be complicated! By using defaultdict, you can effectively consolidate data from multiple dictionaries into a single organized structure. This not only improves readability but also makes it easier to manage your data. Feel free to adapt this approach to suit your specific use case, and you'll quickly find it a powerful tool in your Python programming arsenal. Happy coding!