DS & Algos for Interviewing in Python

I am preparing to interview at FANG companies, and am reviewing the material I've learned at the Data Structures & Algorithms Nanodegree at Udacity.

Here's an overview of the topics that are covered in the Nanodegree:

1. Introduction
   1. Python Refresher
   2. How to Solve Problems
   3. Efficiency
   4. -- Solve some problems --
2. Data Structures
   1. Arrays & Linked Lists
   2. Stacks & Queues
   3. Recursion
   4. Trees
   5. Maps and Hashing
   6. -- Solve some problems --
3. Basic Algorithms
   1. Basic Algorithms
   2. Sorting Algorithms
   3. Faster Divide & Conquer Algorithms
   4. -- Solve some problems --
4. Advanced Algorithms
   1. Greedy Algorithms
   2. Graph Algorithms
   3. Dynamic Programming
   4. A*
   5. -- Implement A* --

This blog series is the place where I'm planning to collect and save materials for future reference.