Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Swayam

Programming, Data Structures and Algorithms in Python

Chennai Mathematical Institute and NPTEL via Swayam

This course may be unavailable.

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
This course aims to teach programming, data structures, and algorithms using Python over an 8-week duration. The learning outcomes include understanding Python basics, algorithmic analysis, sorting techniques, data structures like dictionaries and linked lists, and advanced topics like dynamic programming. Students will learn skills such as Python programming, algorithmic analysis, exception handling, string processing, and recursive definitions. The teaching method involves a combination of theoretical concepts, practical examples, and hands-on programming assignments. This course is intended for individuals interested in learning Python programming, data structures, and algorithms, regardless of their prior experience level.

Syllabus

Week 1
Informal introduction to programmin, algorithms and data structures viagcd
Downloading and installing Python
gcd in Python: variables, operations, control flow - assignments, condition-als, loops, functions

Week 2
Python: types, expressions, strings, lists, tuples
Python memory model: names, mutable and immutable values
List operations: slices etc
Binary search
Inductive function de nitions: numerical and structural induction
Elementary inductive sorting: selection and insertion sort
In-place sorting

Week 3
Basic algorithmic analysis: input size, asymptotic complexity, O() notation
Arrays vs lists
Merge sort
Quicksort
Stable sorting

Week 4
Dictionaries
More on Python functions: optional arguments, default values
Passing functions as arguments
Higher order functions on lists: map, lter, list comprehension

Week 5
Exception handling
Basic input/output
Handling files
String processing

Week 6
Backtracking: N Queens, recording all solutions
Scope in Python: local, global, nonlocal names
Nested functions
Data structures: stack, queue
Heaps

Week 7
Abstract datatypes
Classes and objects in Python
"Linked" lists: find, insert, delete
Binary search trees: find, insert, delete
Height-balanced binary search trees

Week 8
Effcient evaluation of recursive de nitions: memoization
Dynamic programming: examples
Other programming languages: C and manual memory management
Other programming paradigms: functional programming

Taught by

Madhavan Mukund

Tags

Reviews

3.5 rating, based on 2 Class Central reviews

Start your review of Programming, Data Structures and Algorithms in Python

  • Anonymous
    Right now I am taking the course along with my Btech 2nd year studies. It's really hard to find time for studying. The course is actually nice but you should at least have a programming experience in any language or else it would be hard to cope up with the syllabus.
  • Anonymous
    Good course for Python beginners to learn the basics, syntax and algorithms of Python. One can take it at one's own pace and moreover can earn a certificate by writing the exam.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.