Ultimate Python Course by Nikesh K: Code, Analyze, and Build

🐍 Python Programming Course (3–4 Months)

Schedule: Weekend only (Sat & Sun), 2 hrs per day → ~48–64 hrs
Target Audience: Beginners – Intermediate (placement-focused)

Month 1 – Python Fundamentals (Sessions 1–8)

Goal: Learn syntax, basics, and problem-solving.

1. Introduction & Setup

   • Python installation, IDEs (VS Code, Jupyter, PyCharm)

   • Writing & running Python scripts

   • Input/Output & variables

2. Data Types & Operators

   • Numbers, strings, booleans

   • Type casting, operators (+, -, , /, %, //, *)

3. Strings & String Operations

   • Indexing, slicing, methods (split, strip, find, replace)

   • f-strings & formatting

4. Control Flow – Conditions

   • if, elif, else

   • Nested conditions

5. Loops

   • for & while loops

   • break, continue, pass

   • Loop applications (sum, factorial, patterns)

6. Data Structures – Lists

   • Indexing, slicing, list methods (append, pop, sort)

   • List comprehension

7. Data Structures – Tuples & Sets

   • Tuple basics, immutability

   • Set operations (union, intersection, difference)

8. Data Structures – Dictionaries

   • Key-value pairs

   • Common methods (get, keys, values, items)

   • Nested dictionaries

Month 2 – Functions, Modules & File Handling (Sessions 9–16)

Goal: Structured coding, modularity, and real-world use.

9. Functions

   • Defining & calling functions

   • Arguments (positional, keyword, default)

   • Return values

10. Lambda, Map, Filter, Reduce

• Anonymous functions

• Functional programming basics

11. Modules & Packages

• Importing built-in modules (math, random, datetime)

• Creating custom modules

12. File Handling

• Reading & writing files (txt, csv)

• with open() as … context manager

13. Error Handling

• try, except, finally

• Custom exceptions

14. Regular Expressions (Regex)

• re.match(), re.search(), re.findall()

• Practical use: email/phone validation

15. Project 1: Mini Calculator / Student Grade System

• Combines functions, loops, and file handling

16. Practice & Quiz

Month 3 – OOPs, Advanced Python & Libraries (Sessions 17–24)

Goal: Write efficient, object-oriented, and practical Python.

17. Object-Oriented Programming (OOPs – Part 1)

• Classes, objects

• Constructors, attributes, methods

18. OOPs (Part 2)

• Inheritance, polymorphism

• Method overriding

• Encapsulation & abstraction

19. Iterators & Generators

• Iterables, next(), iter()

• yield & generator functions

20. Decorators

• Function decorators

• Chaining decorators

21. Working with Libraries

• NumPy basics (arrays, operations)

• Pandas basics (Series, DataFrames, reading CSV)

22. Data Visualization

• Matplotlib basics (line, bar, scatter, pie)

• Simple charts with data

23. Project 2: Data Analysis Mini Project

• Load CSV (e.g., student scores, sales data)

• Perform analysis & plot graphs

24. Mock Test + Practice

Month 4 – Applications, DSA, and Final Project (Sessions 25–32)

Goal: Placement readiness with coding & applications.

25. DSA with Python (Part 1)

• Arrays, stacks, queues

• Implement using lists

26. DSA with Python (Part 2)

• Searching (linear, binary)

• Sorting (bubble, selection, insertion, merge sort)

27. Problem-Solving Practice

• Common coding interview problems

• String manipulation, number problems

28. Working with APIs & JSON

• requests library

• Parsing JSON

29. Basic Web/Automation

• Intro to Flask (mini web app) or Selenium (automation basics)

30. Final Project (Part 1)

• Choose project (e.g., To-Do App, Expense Tracker, Weather App)

• Work in class with guidance

31. Final Project (Part 2)

• Code review, improvements, add features

32. Final Review + Mock Interview Prep

• Aptitude-style Python coding questions

• Best practices & roadmap for advanced learning

✅ After 3–4 months, students will be able to:

• Code confidently in Python (beginner → intermediate)

• Apply OOP, file handling, and libraries in projects

• Solve placement-style coding problems

• Build small projects (automation, data analysis, apps)