Warm greetings! This lesson introduces data streams, which are essentially continuous datasets. Think of a weather station or a gaming application gathering data per second — both are generating data streams! We will master handling these data streams using Python, learning to access elements, slice segments, and even convert these streams into strings for easier handling.

In Python, data streams are commonly mirrored as lists. Python also facilitates additional data structures like tuples or dictionaries.

Consider a straightforward Python class named DataStream. This class encapsulates operations related to data streams in our program:

To use it, we create a sample data stream as an instance of our DataStream class, where each element is a dictionary:

To look into individual elements of a data stream, we use indexing. The get() method we introduce below fetches the i-th element from the data stream:

Here, we can see the method in action: