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Python Jumpstart: A Beginner’s Adventure in Coding

Python Jumpstart: A Beginner’s Adventure in Coding

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Start On August 2023
Duration 1.5 Month
Number of Classes 10
Mode of Instruction Online
Level Beginner to Advance
Seats Available 30+

Course Overview

Unlock the power of programming with Python and embark on a journey to become a proficient developer. Whether you’re a complete beginner or have some prior coding experience, this comprehensive course is designed to equip you with the skills and knowledge to excel in the world of Python programming.

Build a solid foundation by learning Python syntax, data types, control structures, and functions. Gain a deep understanding of object-oriented programming (OOP) concepts and leverage them to write efficient and maintainable code.

Python’s versatility and expansive library ecosystem make it a go-to language for a wide range of applications. Armed with Python, you’ll have the confidence to explore new projects, automate repetitive tasks, and turn your innovative ideas into reality.

10 Online Sessions
1.5 Months
Interactive Discussions
Graded Assignments and Quizzes


Module 1: Introduction to Python

  • What is Python and its features?
  • Installing Python and setting up the development environment
  • Running your first Python program
  • Print statements and basic data types (integers, floats, strings)
  • Arithmetic operations and basic input/output

Module 2: Control Flow and Loops

  • Decision-making with if statements
  • Comparison operators and logical operators
  • Using else and elif clauses
  • Introduction to loops (while and for loops)
  • Loop control statements (break and continue)

Module 3: Functions and Modular Programming

  • Defining and calling functions
  • Parameters and arguments
  • Return statements and function scope
  • Introduction to modules and importing functions
  • Creating and using your own modules

Module 4: Data Structures - Lists and Tuples

  • Lists: creating, indexing, and slicing
  • List methods and operations
  • Tuples: creating, accessing, and immutability
  • List comprehensions
  • Practical examples and exercises

Module 5: Data Structures - Dictionaries and Sets

  • Dictionaries: creating, accessing, and modifying
  • Dictionary methods and operations
  • Sets: creating, adding, and removing elements
  • Set operations (union, intersection, difference)
  • Practical examples and exercises

Module 6: File Handling and Exceptions

  • Reading and writing files in Python
  • File modes and file objects
  • Handling exceptions with try-except blocks
  • Exception handling techniques and best practices
  • Practical examples and exercises

Module 7: String Manipulation and Regular Expressions

  • String operations (concatenation, slicing, formatting)
  • String methods and functions
  • Regular expressions basics
  • Using regular expressions in Python
  • Practical examples and exercises

Module 8: Introduction to Object-Oriented Programming (OOP)

  • Understanding classes and objects
  • Creating classes and instances
  • Class attributes and methods
  • Encapsulation and data hiding
  • Practical examples and exercises

Module 9: Introduction to Libraries and Modules

  • Exploring the Python Standard Library
  • Importing and using built-in modules (math, random, datetime)
  • Installing and using external libraries with pip
  • Using popular libraries for specific tasks (e.g., NumPy, pandas)
  • Practical examples and exercises

Module 10: Final Project and Wrap-up

  • Applying learned concepts to a small project
  • Planning and implementing a Python program
  • Debugging and troubleshooting
  • Recap of the course and further learning resources

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