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Code Smarter with Python

Last Update:

August 12, 2025

Review:

4.6

Course Overview

This comprehensive Python programming course is designed for beginners and intermediate learners who want to master one of the most versatile and in-demand programming languages in the world. You will learn Python fundamentals including variables, data types, control flow, functions, object-oriented programming (OOP), exception handling, and working with libraries and modules. The course also covers advanced topics such as file handling, regular expressions, database connectivity, data visualization, and automation scripting. Through hands-on coding exercises, mini-projects, and real-world applications, you will gain the skills needed for software development, web applications, data analysis, artificial intelligence, and automation.

Who Should Enroll?

  • Students and beginners looking to start a career in programming
  • Developers wanting to build a strong foundation in Python
  • Programmers preparing for technical interviews and coding challenges
  • Anyone interested in data science, AI, automation, or web development

Week 1: Introduction to Python

  • History and features of Python
  • Installing Python & setting up IDE (PyCharm, VS Code, Jupyter)
  • Running Python scripts & interactive mode
  • First Python program walkthrough
  • Variables, constants, and data types

Week 2: Operators & Control Flow

  • Arithmetic, relational, logical, and assignment operators
  • Decision-making: if, if-else, elif
  • Loops: for, while
  • Break, continue, and pass statements
  • Logic-based practice problems

Week 3: Functions & Recursion

  • Defining & calling functions
  • Parameters, arguments & return values
  • Scope of variables (local, global)
  • Recursive functions & examples
  • Lambda functions

Week 4: Lists, Tuples & Strings

  • List operations & comprehensions
  • Tuples & immutability
  • String slicing & methods
  • String formatting (f-strings, format method)
  • Practice problems

Week 5: Classes & Objects

  • Defining classes & creating objects
  • Instance & class variables
  • Constructors (__init__ method)
  • Destructor (__del__ method)

Week 6: Inheritance & Polymorphism

  • Single & multiple inheritance
  • Method overriding & super()
  • Polymorphism in Python
  • Special methods (__str__, __len__, etc.)

Week 7: Abstraction & Encapsulation

  • Private & protected members
  • Getters & setters (property decorator)
  • Abstract classes (abc module)
  • OOP hands-on examples

Week 8: Modules, Packages & Exception Handling

  • Creating & importing modules
  • Using built-in Python modules
  • try-except-else-finally
  • Raising & creating custom exceptions

Week 9: File Handling & Regular Expressions

  • Reading & writing text files
  • Binary file handling
  • Pickle module for serialization
  • Regular expressions with re module

Week 10: Working with Libraries

  • NumPy basics
  • Pandas for data analysis
  • Matplotlib for data visualization
  • Automation scripting with Python

Week 11: Database Connectivity

  • Introduction to databases
  • SQLite with Python
  • CRUD operations
  • Mini-project with database integration

Week 12: Final Project

  • Build an end-to-end Python application
  • Debugging & optimization
  • Presentation & deployment

Reviews

This course provided a strong foundation in Python programming. The concepts were explained clearly, and the hands-on coding exercises made it easy to understand data structures, OOP principles, and how to build real-world applications.

4.6

32 Ratings

Detailed Rating
5 stars
85%
4 stars
10%
3 stars
5%
2 stars
0%
1 star
0%

2 Comments

  • Priya

    August 5, 2025

    Fantastic Python course! The explanations were clear and the projects gave me the confidence to build automation scripts and web apps.

  • Arjun

    July 30, 2025

    Great course for beginners and intermediate learners. Covers Python basics, OOP, and essential libraries effectively.

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  • Duration : 3 Months
  • Enrolled : 18+ Students
  • Language : Tamil, English
  • Class Time : Flexible
  • Weekdays : Mon – Fri
  • Weekend : Batches Available
  • Schedule : Flexible
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