Data Structures and Algorithms

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Welcome to the Data Structures and Algorithms nanodegree program!

A quick refresh on Python basics!

A systematic way of approaching and breaking down problems.

Understanding the importance of efficiency when working with data structures and algorithms.

Introduction to the Data Structures course.

Learn about Arrays and Linked Lists

Build Stacks and Queues

Apply Recursion to Problems

Learn about basic tree's, tree traversal and binary search trees.

Explore the concepts of maps and hashes.

Start out with some elementary algorithms such as binary search, tries, heaps and more.

Learn about the most common sorting algorithms.

Go deeper into algorithms with faster divide and conquer algorithms.

Get familiar with and practice greedy algorithms.

Learn about the many aspects of graph algorithms!

Learn about dynamic programming and apply your learnings to challenging exercises.

Welcome to Introduction to Python! Here's an overview of the course.

Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.

Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.

Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.

Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.

Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.

In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.