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Data Structures and Algorithms in Python
This chapter explores the core concepts and principles pertaining to the topic at hand, delving into various aspects such as definitions, applications, and significance within a broader context. Key discussions focus on practical exercises, questions for thought, and collaborative activities to ensure an integrated understanding of the subject matter. The structure facilitates learning through interactive exercises alongside in-depth explanations and summaries.
58 Chapters
48 weeks
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Course Chapters
Chapter 1
Algorithms and programming: simple gcd part-A
Chapter 1
Algorithms and programming: simple gcd part-B
Chapter 2
Improving naive gcd
Chapter 3
Euclid's algorithm for gcd
Chapter 4
Downloading and installing Python
Chapter 5
Assignment statement, basic types - int, float, bool - Part A
Chapter 5
Assignment statement, basic types - int, float, bool - Part B
Chapter 6
Strings - Part A
Chapter 6
Strings - Part B
Chapter 7
Lists - Part A
Chapter 7
Lists - Part B
Chapter 8
Control Flow
Chapter 9
Functions
Chapter 10
Examples
Chapter 11
More about range()
Chapter 12
Manipulating lists
Chapter 13
Breaking out of a loop
Chapter 14
Arrays vs lists, binary search - Part A
Chapter 14
Arrays vs lists, binary search - Part B
Chapter 15
Efficiency
Chapter 16
Selection Sort
Chapter 17
Insertion Sort
Chapter 18
Recursion
Chapter 19
Mergesort - Part A
Chapter 19
Mergesort - Part B
Chapter 20
Mergesort, analysis
Chapter 21
Quicksort
Chapter 22
Quicksort analysis
Chapter 23
Tuples and dictionaries
Chapter 24
Function definitions
Chapter 25
List Comprehension
Chapter 26
Exception Handling
Chapter 27
Standard input and output
Chapter 28
Handling files - Part A
Chapter 28
Handling files - Part B
Chapter 29
String functions
Chapter 30
Formatting printed output
Chapter 31
Pass, del() and None
Chapter 32
Backtracking, N queens - Part A
Chapter 32
Backtracking, N queens - Part B
Chapter 33
Global scope, nested functions
Chapter 34
Generating permutations
Chapter 35
Sets, stacks, queues
Chapter 36
Priority queues and heaps - Part A
Chapter 36
Priority queues and heaps - Part B
Chapter 37
Abstract datatypes, classes and objects
Chapter 38
Classes and objects in Python
Chapter 39
User defined lists - Part A
Chapter 39
User defined lists - Part B
Chapter 40
Search trees - Part A
Chapter 40
Search trees - Part B
Chapter 41
Memoization and dynamic programming
Chapter 42
Grid paths
Chapter 43
Longest common subsequence - Part A
Chapter 43
Longest common subsequence - Part B
Chapter 44
Matrix multiplication
Chapter 45
Wrap-up, Python vs other languages - Part A
Chapter 45