Python Fundamentals

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About Course

Python Fundamentals – Course Description

Overview:
The Python Fundamentals course is designed for beginners and aspiring programmers who want to build a strong foundation in Python, one of the most popular and versatile programming languages today. This course introduces learners to core programming concepts, Python syntax, data types, control structures, functions, and basic problem-solving techniques, preparing them for advanced Python learning and real-world applications.

Who Should Enroll:

  • Beginners with no prior programming experience

  • Students and professionals aiming to learn Python for data science, AI, web development, automation, or software engineering

  • Anyone looking to build a solid programming foundation before moving to advanced topics

What You Will Learn:

  • Understanding Python syntax and semantics

  • Working with variables, operators, and data types

  • Implementing control flow and loops

  • Using functions, modules, and packages for modular programming

  • Managing lists, tuples, sets, and dictionaries

  • Writing simple Python programs and solving problems

Course Highlights:

  • Hands-on coding exercises to reinforce learning

  • Real-life examples for better understanding

  • Step-by-step guidance from basic to intermediate concepts

  • AICTE-aligned curriculum for structured learning and certification

Outcome:
By the end of this course, learners will have a strong grasp of Python fundamentals, enabling them to confidently write Python programs, solve basic programming challenges, and smoothly progress to advanced Python courses.

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What Will You Learn?

  • Course Objectives
  • By the end of the course, learners will be able to:
  • Understand the basics of Python syntax, keywords, and operators.
  • Write and execute Python programs for problem-solving.
  • Work with Python data structures such as lists, tuples, dictionaries, and sets.
  • Implement control structures and modular programming using functions.
  • Perform file handling and basic error management.
  • Apply Python in data handling, automation, and scripting.
  • Course Outcomes (COs)
  • Upon successful completion, learners will be able to:
  • CO1: Explain the features and applications of Python.
  • CO2: Apply Python programming concepts to develop basic applications.
  • CO3: Demonstrate proficiency in using Python data structures.
  • CO4: Implement modular and reusable code using functions and modules.
  • CO5: Solve real-life problems using Python programs.

Course Content

Module 1: Introduction to Python

  • History and evolution of Python
  • Features of Python & its applications
  • Python installation and IDEs (IDLE, Jupyter, VS Code, PyCharm)
  • Running Python scripts and interactive mode

Module 2: Python Basics

Module 3: Control Flow

Module 4: Data Structures in Python

Module 5: Functions & Modules

Module 6: File Handling & Exception Handling

Module 7: Introduction to Object-Oriented Programming (OOPs)

Module 8: Practical Applications of Python

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