Python for Faculty | Prutor.ai, IIT Kanpur

A-Z of Python Programming by Prof. Amey Karkare, CSE IIT Kanpur

Our flagship offering is a 3-month online course on Python. It provides both basic theoretical understanding and practical hands-on programming. It is beginner-friendly, but builds up expertise sufficiently to work with state-of-the-practice methods and covers python in great detail.This course is now being taken up by more than 37000 engineering students across India.

View the sample video and review from a student about our course

Option: 1

Free Python Programming Course / Faculty Development Program

Benefits

Course Features

Certificate

Syllabus

Syllabus
1. Introduction	2. The Programming Cycle for Python
3. Getting started	4. Variables and simple data types
5. Elements of Python	6. Type Conversion
7. Expressions	8. Assignment Statement
9. Arithmetic Operators	10. Operator Precedence
11. Boolean Expression	12. Introducing lists
13. Working with lists	14. For Loop
14. Nested Loops	15. Nested Loops
16. Tuples	17. Unpacking Sequences
18. Lists	19. Mutable Sequences
20. List Comprehension	21. Sets
22. If statements	23. Conditionals
24. Conditionals (Continued)	25. Expression Evaluation
26. Float Representation	27. Dictionaries
28. User input and loops	29. Break and Continue
30. Function

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Option: 2

Certificate from Prutor.AI

Benefits

Course Features

Certificate

Syllabus

Syllabus
1. Introduction	2. The Programming Cycle for Python
3. Getting started	4. Variables and simple data types
5. Elements of Python	6. Type Conversion
7. Expressions	8. Assignment Statement
9. Arithmetic Operators	10. Operator Precedence
11. Boolean Expression	12. Introducing lists
13. Working with lists	14. For Loop
14. Nested Loops	15. Nested Loops
16. Tuples	17. Unpacking Sequences
18. Lists	19. Mutable Sequences
20. List Comprehension	21. Sets
22. If statements	23. Conditionals
24. Conditionals (Continued)	25. Expression Evaluation
26. Float Representation	27. Dictionaries
28. User input and loops	29. Break and Continue
30. Function	31. Parts of A Function
32. Execution of A Function	33. Keyword and Default Arguments
34. Scope Rules	35. Strings
36. Indexing and Slicing of Strings	37. More Slicing
38. Higher Order Functions	39. Sieve of Eratosthenes
40. Abstract Data Types	41. Classes
42. Modules	43. Importing Modules
44. Classes	45. Special Methods
46. Class Example	47. Inheritance
48. Inheritance and OOPS	49. Files and Exceptions
50. File I/O	51. Exceptions
52. Testing your code	53. Assertions
54. Iterators	55. Recursion
56. Simple Search	57. Estimating Search Time
58. Binary Search	59. Estimating Binary Search Time
60. Recursive Fibonacci	61. Tower Of Hanoi
62. Sorting	63. Selection Sort
64. Merge List	65. Merge Sort
66. Higher Order Sort

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Option: 3

Paid Python Programming Course With Live lectures beginning 15 August

Benefits

Course Features

Certificate

Syllabus

Syllabus
1. Introduction	2. The Programming Cycle for Python
3. Getting started	4. Variables and simple data types
5. Elements of Python	6. Type Conversion
7. Expressions	8. Assignment Statement
9. Arithmetic Operators	10. Operator Precedence
11. Boolean Expression	12. Introducing lists
13. Working with lists	14. For Loop
14. Nested Loops	15. Nested Loops
16. Tuples	17. Unpacking Sequences
18. Lists	19. Mutable Sequences
20. List Comprehension	21. Sets
22. If statements	23. Conditionals
24. Conditionals (Continued)	25. Expression Evaluation
26. Float Representation	27. Dictionaries
28. User input and loops	29. Break and Continue
30. Function	31. Parts of A Function
32. Execution of A Function	33. Keyword and Default Arguments
34. Scope Rules	35. Strings
36. Indexing and Slicing of Strings	37. More Slicing
38. Higher Order Functions	39. Sieve of Eratosthenes
40. Abstract Data Types	41. Classes
42. Modules	43. Importing Modules
44. Classes	45. Special Methods
46. Class Example	47. Inheritance
48. Inheritance and OOPS	49. Files and Exceptions
50. File I/O	51. Exceptions
52. Testing your code	53. Assertions
54. Iterators	55. Recursion
56. Simple Search	57. Estimating Search Time
58. Binary Search	59. Estimating Binary Search Time
60. Recursive Fibonacci	61. Tower Of Hanoi
62. Sorting	63. Selection Sort
64. Merge List	65. Merge Sort
66. Higher-Order Sort

Click Here to Enroll Now

Live doubt clearing session with Prof Amey Karkare, CSE, IIT Kanpur on 29 April 2020

How to Register on free course on Python

Deep Learning Garage

We hope to invite the top performers from the Best2Learn courses for periodically held AI residency programs at the IIT Kanpur Research Park. The invited students will have a chance to work on cutting edge problems for both scientific and societal values.

Instructors

Prof. Amey Karkare, CSE IIT Kanpur

Mr. Rahul Garg, PGDM, IIMC

Contact

Email: rahulgr@iitk.ac.in

Phone: +91-9910043510

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Dr. Amey and I run these courses from our own resources without any financial help. Please consider investing in a paid course if you can afford it or if you are a professional.

Click Here to Enroll in Free Python Programming Course - Rs.0.00/-(If you are Faculty/Phd./M.Tech Students)

Click Here to Enroll in Paid Python Programming Course - Rs.999.00/-

Click Here to Enroll in Paid Python Programming Course - Rs.4,237.00

Dr. Amey and me run these courses without any financial support currently. Please consider enrolling for a paid course if you can afford it or if you are a professional.

A-Z of Python Programming by Prof. Amey Karkare, CSE IIT Kanpur

View the sample video and review from a student about our course

Free Python Programming Course / Faculty Development Program

Benefits

Course Features

Certificate

Syllabus

Certificate from Prutor.AI

Benefits

Course Features

Certificate

Syllabus

Paid Python Programming Course With Live lectures beginning 15 August

Benefits

Course Features

Certificate

Syllabus

How to Register on free course on Python

Deep Learning Garage

Instructors

Partner with us

Universities and Colleges

Schools

Corporates and Startups

Prutor in News

Frequently Asked Questions

Is this a complete course on Python?

How is this different from other courses?

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Will I get compute resources for running assignments and for working on the project?

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