Classic Data Structures and Algorithms

Course

Learn about two of Python's data structures: dictionaries and arrays. You'll look at multiple types and classes for both of these and learn which implementations are best for your specific use cases.

Course

Learn how to implement a Python stack. You'll see how to recognize when a stack is a good choice for data structures, how to decide which implementation is best for a program, and what extra considerations to make about stacks in a threading or multiprocessing environment.

Tutorial

In this tutorial, you'll take a deep dive into the theory and practice of queues in programming. Along the way, you'll get to know the different types of queues, implement them, and then learn about the higher-level queues in Python's standard library. Be prepared to do a lot of coding.

Course

Learn what linked lists are and when to use them, such as when you want to implement queues, stacks, or graphs. You'll also learn how to use collections.deque to improve the performance of your linked lists and how to implement linked lists in your own projects.

Tutorial

In this step-by-step tutorial, you'll implement the classic hash table data structure using Python. Along the way, you'll learn how to cope with various challenges such as hash code collisions while practicing test-driven development (TDD).

Course

Learn how to use Python's Counter to count several repeated objects at once.

Course

Binary search is a classic algorithm in computer science. In this step-by-step course, you'll learn how to implement this algorithm in Python. You'll learn how to leverage existing libraries as well as craft your own binary search Python implementation.

Tutorial

In this step-by-step tutorial, you'll explore the heap and priority queue data structures. You'll learn what kinds of problems heaps and priority queues are useful for and how you can use the Python heapq module to solve them.

Tutorial

Learn all about the series of specialized container data types in the collections module from the Python standard library.

Course

Learn what Python's namedtuple is and how to use it in your code. You'll also learn about the main differences between named tuples and other data structures, such as dictionaries, data classes, and typed named tuples.

Interactive Quiz

Tutorial

Learn about Python's ChainMap and how to use it to group multiple dictionaries together and manage them as a single one. ChainMap is handy when you need to manage multiple scopes and contexts and define access priorities.

Course

Learn how the Python defaultdict type works and how to use it for handling missing keys when you're working with dictionaries. You'll also learn how to use a defaultdict to solve problems like grouping or counting the items in a sequence or collection.

Course

Learn what Python's OrderedDict is and how to use it in your code. You'll also learn about the main differences between regular dictionaries and ordered dictionaries.

Course

In this video course, you'll discover the art of creating and using enumerations of logically connected constants in Python. To accomplish this, you'll explore the Enum class and other associated tools and types from the enum module from the Python standard library.

Tutorial

Learn about the Fraction data type in Python, which can represent rational numbers precisely without the rounding errors in binary arithmetic. You'll find that this is especially important in financial and other high-precision applications.

Course

Learn all about five different sorting algorithms in Python from both a theoretical and a practical standpoint. You'll also learn several related and important concepts, including Big O notation and recursion.