Understanding Python Data Structures

Understanding Python Data Structures

You'll learn about Python's data structures. Python ships with an extensive set of data structures in its standard library. You'll look at several implementations of abstract data types and learn which implementations are best for your specific use cases.

In this tutorial, you'll learn about Python's data structures. You'll look at several implementations of abstract data types and learn which implementations are best for your specific use cases.

Data structures are the fundamental constructs around which you build your programs. Each data structure provides a particular way of organizing data so it can be accessed efficiently, depending on your use case. Python ships with an extensive set of data structures in its standard library.

However, Python’s naming convention doesn’t provide the same level of clarity that you’ll find in other languages. In Java, a list isn’t just a list—it’s either a LinkedList or an ArrayList. Not so in Python. Even experienced Python developers sometimes wonder whether the built-in list type is implemented as a linked list or a dynamic array.

In this tutorial, you’ll learn:

  • Which common abstract data types are built into the Python standard library
  • How the most common abstract data types map to Python’s naming scheme
  • How to put abstract data types to practical use in various algorithms

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