Fundamentals of Python

Solid Python 3 foundation — types, control flow, loops, comprehensions, functions, collections, files, and capstone.

Duration
19 weeks
Certificates
2
CO threshold
70%
Price
₹3,000 (one-time access)

Tagline: Solid Python 3 foundation — types, control flow, loops, comprehensions, functions, collections, files, and capstone.

Field Value
Course code PY-FUND-A
Duration 18 weeks
Credits 4
Compliance NBA-aligned OBE
Publication published
Price INR 3000
DB snapshot 2026-07-06T07:25:36.313Z

Course objective

Solid Python 3 foundation with depth comparable to Fundamentals of C: types, formatting, control flow, loops, comprehensions, functions, lists/tuples/dicts/sets, files, and capstone.

Course outcomes (CO1–CO6)

CO Bloom Weight Statement
CO1 understand 17% Explain Python's role, environment, core types, and formatted I/O with print and input.
CO2 apply 17% Apply operators, membership/identity tests, and multi-branch control flow including pattern matching basics.
CO3 apply 17% Use while and for loops, iteration helpers, and comprehensions to solve structured problems.
CO4 apply 17% Design functions with parameters, scope, modules, and light recursion.
CO5 apply 16% Process data with lists, tuples, dictionaries, and sets; choose the appropriate structure.
CO6 apply 16% Handle files and exceptions; build small integrative Python utilities.

Activity totals (live from platform)

Metric Count
Units / chapters 19
Topics 148
Topic quiz activities 148
MCQ questions 1188
Practice labs (run-only) 0
Evaluated coding labs 412
Instructional content blocks 883

Certificates & earning criteria

Certificate CO scope Evaluated lab quota CO attainment Gate
Python Foundations CO1–CO4 90% 70% Python Foundations summative quiz
Python Professional CO1–CO6 95% 70% Python Professional end-of-course capstone

Professional tier also requires CP integrative labs (minimum 12 passed).

Unit syllabus (unit → topics → activities)

Unit 1 — Why Python & the ecosystem

Unit totals: 5 topics · 40 MCQ questions · 0 practice · 2 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 What is Python? 8 0 0 Yes
2 Python 2 vs 3 (historical) 8 0 0 Yes
3 Use cases (scripting, data, web, automation) 8 0 0 Yes
4 Interpreter vs compiled languages 8 0 0
5 Course map & autograder overview 8 0 2

Unit 2 — First programs & the autograder

Unit totals: 7 topics · 56 MCQ questions · 0 practice · 18 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 REPL vs .py script 8 0 3 Yes
2 Hello World & print basics 8 0 4
3 Indentation & blocks 8 0 2
4 Comments & # 8 0 1
5 Running in IDE vs terminal 8 0 2
6 Reading tracebacks (intro) 8 0 2
7 First autograder submit 8 0 4

Unit 3 — Variables & data types

Unit totals: 9 topics · 72 MCQ questions · 0 practice · 20 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Variables & assignment 8 0 3 Yes
2 int & arbitrary precision 8 0 3
3 float & rounding issues 8 0 3
4 str literals & escape sequences 8 0 3
5 bool & None 8 0 2
6 Dynamic typing & type() 8 0 2
7 Mutability vs immutability (preview) 8 0 1
8 Type conversion (int(), float(), str()) 8 0 3
9 Naming & PEP 8 basics 8 0 0

Unit 4 — Input, output & formatting

Unit totals: 9 topics · 72 MCQ questions · 0 practice · 26 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 print() — sep, end, multiple args 8 0 3
2 input() & parsing lines 8 0 3
3 f-strings — expressions & formatting 8 0 4
4 f-strings — precision & width 8 0 3
5 str.format() method 8 0 3
6 Old % formatting (read legacy code) 8 0 1
7 Multi-line strings & display 8 0 2
8 Formatted table output (pattern) 8 0 3
9 CP stdin parsing (split, map, T cases) 8 0 4

Unit 5 — Operators

Unit totals: 9 topics · 72 MCQ questions · 0 practice · 19 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Arithmetic operators 8 0 2
2 Augmented assignment (+=, …) 8 0 2
3 Comparison operators 8 0 2
4 Logical operators (and, or, not) 8 0 2
5 Membership (in, not in) 8 0 2
6 Identity (is, is not) 8 0 2
7 Operator precedence & traces 8 0 2
8 Bitwise operators (intro) 8 0 2
9 Modular arithmetic for CP (%, overflow-safe sums) 8 0 3

Unit 6 — Control flow

Unit totals: 10 topics · 80 MCQ questions · 0 practice · 24 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 if / else 8 0 2
2 elif chains 8 0 2
3 Nested conditionals 8 0 2
4 Conditional expression (ternary) 8 0 2
5 Truthiness & falsy values 8 0 2
6 Short-circuit evaluation 8 0 2
7 match / case (intro, 3.10+) 8 0 2
8 Menu-driven programs 8 0 4
9 Debugging branching logic 8 0 2
10 Control-flow pattern pack 8 0 4

Unit 7 — While loops & validation

Unit totals: 7 topics · 56 MCQ questions · 0 practice · 20 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 while loop structure 8 0 3
2 Sentinel-controlled loops 8 0 3
3 Input validation with while 8 0 4
4 Infinite loop pitfalls 8 0 1
5 break & continue in while 8 0 3
6 while/else 8 0 2
7 Pattern: guess-the-number 8 0 4

Unit 8 — For loops & iteration tools

Unit totals: 8 topics · 64 MCQ questions · 0 practice · 18 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 for over sequences 8 0 3
2 range() — 1, 2, 3 arguments 8 0 3
3 Iterating strings 8 0 2
4 enumerate() 8 0 3
5 zip() parallel iteration 8 0 3
6 Loop variable conventions 8 0 1
7 Off-by-one & trace practice 8 0 2
8 For vs while — when to use 8 0 1

Unit 9 — Loop patterns & integration

Unit totals: 9 topics · 74 MCQ questions · 0 practice · 33 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Accumulators & counters 8 0 6
2 Finding min/max manually 8 0 3
3 Nested loops 8 0 4
4 for/else 8 0 2
5 Flag variables 8 0 2
6 Prime / divisibility patterns 8 0 2
7 Number pattern programs 8 0 2
8 Integrative timed practice set 8 0 2
9 Loop pattern pack (stars, pyramids, tables) 10 0 10

Unit 10 — Comprehensions

Unit totals: 6 topics · 50 MCQ questions · 0 practice · 18 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 List comprehensions — basics 8 0 4
2 List comprehensions — with if 8 0 4
3 Dict comprehensions 8 0 4
4 Set comprehensions 8 0 3
5 Nested comprehensions (careful use) 8 0 3
6 Python Foundations summative quiz 10 0 0

Unit 11 — Functions — basics

Unit totals: 8 topics · 64 MCQ questions · 0 practice · 22 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Defining & calling functions 8 0 3
2 Parameters & arguments 8 0 3
3 Return values 8 0 3
4 Default parameter values 8 0 3
5 Keyword arguments 8 0 3
6 Function traces & call flow 8 0 3
7 Decomposition — multi-function programs 8 0 4
8 Docstrings & PEP 257 intro 8 0 0

Unit 12 — Functions — advanced & recursion

Unit totals: 7 topics · 56 MCQ questions · 0 practice · 22 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 *args — variable positional 8 0 3
2 **kwargs — variable keyword 8 0 3
3 Lambda expressions (light) 8 0 3
4 Recursion — base & recursive case 8 0 3
5 Classic recursion (factorial, fib) 8 0 3
6 Recursion vs iteration 8 0 3
7 Tower of Hanoi (trace + lab) 8 0 4

Unit 13 — Modules & scope

Unit totals: 6 topics · 48 MCQ questions · 0 practice · 0 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 import and from … import 8 0 0
2 Standard library tour (math, random) 8 0 0
3 if __name__ == "__main__" 8 0 0
4 LEGB scope rule 8 0 0
5 global & nonlocal (intro) 8 0 0
6 Small multi-module program (pattern) 8 0 0

Unit 14 — Lists

Unit totals: 11 topics · 88 MCQ questions · 0 practice · 45 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Creating & displaying lists 8 0 4
2 Indexing, slicing, stepping 8 0 4
3 append, extend, insert 8 0 4
4 remove, pop, clear 8 0 4
5 sort, sorted, reverse 8 0 4
6 index, count, membership 8 0 3
7 Iterating & modifying safely 8 0 3
8 List copying — shallow copy 8 0 3
9 Lists of lists (2D tables) 8 0 5
10 Search & simple stats on lists 8 0 4
11 List algorithm pack (rotate, dedupe, merge, prefix sum, two pointers) 8 0 7

Unit 15 — Tuples & immutability

Unit totals: 6 topics · 48 MCQ questions · 0 practice · 18 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Tuple basics & literals 8 0 3
2 Indexing & slicing tuples 8 0 3
3 Tuple unpacking 8 0 3
4 Tuple as record (named fields) 8 0 3
5 When tuple vs list 8 0 2
6 tuple() conversions & immutability traps 8 0 4

Unit 16 — Dictionaries

Unit totals: 10 topics · 80 MCQ questions · 0 practice · 42 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Dict basics & key/value model 8 0 3
2 Creating dicts — literals & constructors 8 0 4
3 Access, assignment, KeyError 8 0 4
4 .get(), .setdefault() 8 0 4
5 Iterating keys, values, items 8 0 4
6 Counting & frequency maps 8 0 5
7 Nested dictionaries 8 0 4
8 Dict methods — update, pop, keys views 8 0 4
9 JSON-shaped data (concept + lab) 8 0 4
10 Dict pattern pack (invert, merge, word count) 8 0 6

Unit 17 — Sets & structure choice

Unit totals: 7 topics · 56 MCQ questions · 0 practice · 21 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Set basics & uniqueness 8 0 3
2 Set operations — union, intersection, difference 8 0 3
3 Membership testing at scale 8 0 3
4 Removing duplicates pattern 8 0 3
5 frozenset (intro) 8 0 2
6 Choosing list vs tuple vs dict vs set 8 0 3
7 Mixed-structure integrative lab 8 0 4

Unit 18 — Files, exceptions & capstone

Unit totals: 9 topics · 72 MCQ questions · 0 practice · 8 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 Text files — read/write concept 8 0 0
2 with open (run-only practice) 8 0 0
3 File-like data via stdin (eval) 8 0 2
4 try / except / Exception 8 0 0
5 else / finally on try 8 0 0
6 Common exceptions (ValueError, KeyError, …) 8 0 0
7 Integrative utility script 8 0 3
8 Python Professional end-of-course capstone 8 0 3
9 CP contest integrative (3 problems, OJ format) 8 0 0

Unit 19 — CP playground & certification

Unit totals: 5 topics · 40 MCQ questions · 0 practice · 36 evaluated labs

# Topic MCQs Practice Evaluated Preview
1 CP certification set (required gate) 8 0 12
2 Numbers & math playground (optional) 8 0 6
3 Sets & maps playground (optional) 8 0 6
4 Greedy / brute intro playground (optional) 8 0 6
5 Integrative mixed playground (optional) 8 0 6

Counts are from the live course catalog. MCQs = questions in topic checkpoint quizzes. Practice = formative run-only or SQL practice lane. Evaluated = submit-graded labs that count toward progress and certificates.

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