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B.Sc. (Information Technology) Python Programming Syllabus - Mumbai University

This is the SY BSc IT syllabus under NEP 2020, in force from the academic year 2025-26. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Python Programming Syllabus.pdf
Major · Semester 3 · SY BSc IT · 2 credits · 50 marks

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Syllabus for Python Programming

Major · Semester 3 · SY BSc IT · 2 credits · 50 marks

Module I: Basic Elements of Python Programming

  • Features of Python, Execution of a Python Program, Python Interpreter, Comments, IDLE, Data types, Dictionary, Sets, Mapping, Basic Elements of Python, Variables, Input Function, Output Statements, Command Line Arguments. Operators, Precedence of Operators, Associativity of Operators Control Statements:
  • The if statement, The if … else Statement, The if … elif … else Statement, Loop Statement- while loop, for loop, Infinite loop, Nested loop, The else suite, break statement, continue statement, pass statement, assert statement, return statement.
  • Arrays:
  • Creating Arrays, Indexing and Slicing of Arrays, Basic Array Operations, Arrays Processing, Mathematical Operations on Array, Aliasing Arrays, Slicing and Indexing in NumPy Arrays, Basic slicing, Advanced Indexing, Dimensions and Attributes of an Array Functions:
  • Function definition and call, Returning Results, Returning Multiple Values from a Function, Built-in Functions, Difference between a Function and a Method, Pass Value by Object Reference, Parameters and Arguments, Recursive Functions, Anonymous or Lambda Functions. Modules in Python. Strings:
  • Creating Strings, Functions of Strings, Working with Strings, Formatting Strings, Finding the Number of Characters and Words, Inserting Substrings into a String.

Module II: List

  • Exploring List, Tuples and Dictionaries: Lists, List Functions and Methods, List Operations, List Slices, Nested Lists, Tuples, Functions in Tuple. Working with Dictionaries:
  • Creating a Dictionary, Operators in Dictionary, Dictionary Methods, Using for Loop with Dictionaries, Operations on Dictionaries Files in Python:
  • Opening and Closing a File, Working with Text Files, , Working with Binary Files, The ‘with’ statement, Pickle in Python, The seek() and tell() Methods, Random Accessing of Binary Files, Zipping and Unzipping Files, Working with Directories Regular Expressions:
  • Introduction, Sequence Characters in Regular Expressions, Special Characters in Regular Expressions, Using Regular Expression on Files, Retrieving Information from an HTML File Date And Time in Python:
  • Time, Date, Date and Time Now, combining date and times, formatting date and time, Finding and comparing dates, Sorting dates, Knowing the Time taken by a Program, Working with Calendar Module

Books and References

  • 1 Learning Python, Fourth Edition by Mark Lutz Copyright © 2009 Mark Lutz. Published by O’Reilly Media, Inc.
  • 2 Python Basics: A Practical Introduction to Python 3 Revised and Updated 4th Edition David Amos, Dan Bader, Joanna Jablonski, Fletcher Heisler
  • 1 Let Us Python, Yashwant. B. Kanetkar, BPB Publication, 2019
  • 2 Python: The Complete Reference, Martin C. Brown, McGraw Hill, 2018
  • 3 Beginning Python: From Novice to Professional, Magnus Lie Hetland, Apress, 2017

Reproduced from the University of Mumbai syllabus for B.Sc. (Information Technology) under NEP 2020, in force from the academic year 2025-26. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF BSc IT SEM I & II (2024 25) NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF BSc IT V & VI 2024 25 Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF SY BSc IT 23 24 Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
BSc IT Syllabus Study Path
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Check units before opening notes.
Use the syllabus to confirm topics, then open BSc IT notes for the same semester.
Practice after the syllabus check.
Move to BSc IT question papers after reviewing the module scope.
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