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Learn Data Structures and Algorithms in Python

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Overview

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Learn data structures and algorithms in Python by building stacks, queues, trees, graphs, sorting, searching, and Big O intuition from scratch.

Syllabus

  • Algorithms Intro
    • Learn about what algorithms are and why they matter
  • Math
    • Learn the math required to understand Big-O notation, namely exponents, logarithms, and factorials
  • Big-O Analysis
    • Figure out what Big-O notation and time complexity mean in the context of algorithms and performant code
  • Sorting Algorithms
    • Learn how data is sorted on a computer, and how to sort it faster
  • Exponential Time
    • Understand why exponential time complexity is so dangerous
  • Data Structures Intro
    • Learn about data structures and how they play a critical role in algorithms
  • Stacks
    • Learn about stacks, the original LIFO data structure and build one from scratch
  • Queues
    • Learn about the FIFO queue data structure and how to implement a simple one from scratch
  • Linked Lists
    • Understand how linked lists vary from arrays and how to use one to build a faster queue
  • Binary Trees
    • Learn about binary trees, what they are used for, and implement one from scratch
  • Red Black Trees
    • Solve the classic balancing problem of traditional binary trees with a red-black algorithm
  • Hashmaps
    • Build a hashmap from scratch and learn how to use the Python dictionary type effectively
  • Tries
    • Build all the methods of a trie class, and efficiently search entire documents of text
  • Graphs
    • Learn about graph structures and how we can use them to quickly solve a wide array of search problems
  • BFS and DFS
    • Implement and understand the ever-famous breadth first and depth-first search algorithms
  • P vs NP
    • Learn about P and NP

Reviews

5.0 rating, based on 1 Class Central review

4.6 rating at Boot.dev based on 1329 ratings

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  • Prachi Kamble
    I recently completed the "Learn Data Structures and Algorithms in Python" course, and it was an incredibly valuable experience. The course covered all the essential topics, including arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms. The explanations were clear and supported by hands-on coding examples, which helped reinforce each concept. I particularly appreciated how the course emphasized time and space complexity for each algorithm. It has greatly improved my problem-solving skills and coding confidence. This course is ideal for Python developers preparing for technical interviews or aiming to deepen their understanding of DSA. Highly recommended for all learners!
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