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The course is framed around constructing each data structure yourself rather than calling a library. That approach makes the trade-offs visible: you see what a stack or a hash map does at each step, which is harder to get from a list of definitions.
Python programmers who want to understand what happens underneath the standard collections. The chapter list is long, so plan to work through it in sittings and implement each structure as you go.
Build data structures from scratch and learn how to think through complex algorithms in Python. Practice your hard problem-solving skills and write faster code to feel confident in interviews.
Use code "TRAVVY" for 25% off your first payment.
Learn Data Structures and Algorithms - https://www.boot.dev/courses/learn-data-structures-and-algorithms-python
Learn to code - https://www.boot.dev?promo=BOOTSTUBE
Timestamps:
00:00 - Intro
03:01 - Chapter 1 - Algorithms Intro
15:15 - Chapter 2 - Math
40:40 - Chapter 3 - Big-O Analysis
01:08:50 - Chapter 4 - Sorting Algorithms
01:54:19 - Chapter 5 - Exponential Time
02:10:46 - Chapter 6 - Data Structures Intro
02:21:05 - Chapter 7 - Stacks
02:35:58 - Chapter 8 - Queues
02:45:41 - Chapter 9 - Linked Lists
03:15:42 - Chapter 10 - Binary Trees
03:49:42 - Chapter 11 - Red Black Trees
04:35:05 - Chapter 12 - Hashmaps
04:53:42 - Chapter 13 - Tries
05:26:21 - Chapter 14 - Graphs
05:39:54 - Chapter 15 - BFS and DFS
06:00:26 - Chapter 16 - P vs NP
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