As highly competent engineers working in technology and finance, we often come across tools like Redis, a simple yet powerful in-memory key-value store, used for caching, configuration storage, data sharing between threads, and more. Let's try to build our own rudimentary version of a key-value store.

In Python, a dictionary is a built-in data structure that can be used as a key-value store. It uses hashmaps under the hood and allows us to store and retrieve data using unique keys. Think of it as a simple database. You would have seen this being used in programming paradigms like dynamic programming.

To build this key-value store, we're going to use a Python dictionary. We are creating a kvstore, which stands for key-value store, as an empty dictionary - kvstore = {}.

You can add key-value pairs to the kvstore with the syntax kvstore[key] = value. For example, kvstore["AMZN"] = "Amazon" adds the key-value pair "AMZN" : "Amazon" to our kvstore.

Give it a shot below by executing the following python code.

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if __name__ == "__main__":

​

  # Define Key-Value Store

  kvstore = {}

​

  # Add Key-Value Pairs

  kvstore["AMZN"] = "Amazon"

  kvstore["MSFT"] = "Microsoft"

  kvstore["GOOGL"] = "Google"

​

  print(kvstore)