Introduction to Python Programming

Categories: Python
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About Course

This course is designed to introduce students to the basics of Python programming language. Python is a high-level programming language used in a wide variety of applications, including web development, data analysis, machine learning, and artificial intelligence. Students will learn the fundamentals of programming, including data types, control structures, functions, and modules. The course will cover key concepts and methods in programming, data processing, and data visualization using Python. Additionally, students will explore the latest trends and emerging technologies in Python programming.

Course Outline:

  1. Introduction to Python
  • Definition of Python
  • Importance of Python
  • Key Concepts in Python
  • Applications of Python
  1. Python Fundamentals
  • Python Data Types and Variables
  • Python Operators and Expressions
  • Python Control Structures
  • Python Functions and Modules
  1. Data Processing using Python
  • Reading and Writing Files in Python
  • Data Preprocessing and Cleaning using Python
  • Data Analysis and Visualization using Python
  1. Object-Oriented Programming in Python
  • Introduction to Object-Oriented Programming (OOP)
  • Classes and Objects in Python
  • Inheritance and Polymorphism in Python
  1. Advanced Topics in Python
  • Web Development using Python
  • Machine Learning and Artificial Intelligence using Python
  • Data Science using Python
  1. Emerging Technologies in Python
  • Cloud-Based Computing using Python
  • Parallel and Distributed Computing using Python
  • Quantum Computing using Python


  • Basic understanding of programming concepts
  • Familiarity with a programming language such as Java or C++

Recommended Textbook:

  • “Python Crash Course” by Eric Matthes.


  • Midterm Exam (30%)
  • Final Exam (40%)
  • Programming Assignments (30%)

Note: The course syllabus and assessment methods are subject to change based on instructor’s discretion.

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What Will You Learn?

  • 1. Understand the importance of Python in programming.
  • 2. Write basic Python programs using fundamental concepts such as data types, variables, control structures, functions, and modules.
  • 3. Perform data processing tasks, including reading and writing files, data preprocessing, cleaning, and analysis using Python.
  • 4. Create object-oriented Python programs, including classes, objects, inheritance, and polymorphism.
  • 5. Apply advanced Python concepts in web development, machine learning, artificial intelligence, and data science.
  • 6. Identify emerging technologies in Python and their potential impact on programming.

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