Course Overview: The "Introduction to Python Programming" course is designed for beginners with little or no prior programming experience. Python is a versatile and beginner-friendly programming language widely used for web development, data analysis, automation, artificial intelligence, and more. This course aims to provide students with a solid foundation in Python programming concepts and syntax, enabling them to write simple programs and build a strong basis for further learning.
Course Objectives: Introduce Python and its features, advantages, and applications. Familiarize students with basic programming concepts such as variables, data types, and control flow. Teach fundamental Python syntax, including loops, functions, and conditional statements. Introduce object-oriented programming (OOP) concepts in Python. Explore file handling and data manipulation using Python. Introduce students to libraries and modules for specific tasks, such as NumPy for numerical computing and Pandas for data analysis. Provide practical exercises and projects to apply Python skills in real-world scenarios. Course Duration: [Total Hours/Weeks]
Syllabus: Introduction to Python Overview of Python and its history Installing Python and setting up the development environment Running Python scripts and interactive mode Basic Concepts Variables and data types (integers, floats, strings, booleans) Arithmetic and logical operators Basic input and output (print, input) Control Flow
Conditional statements (if, else, elif) Loops (while, for) and iteration Loop control statements (break, continue) Functions
Defining and calling functions Parameters and return values Function scope and recursion Data Structures
Lists, tuples, and dictionaries Working with sequences and collections List comprehensions Object-Oriented Programming (OOP)
Introduction to classes and objects Class attributes and methods Inheritance and polymorphism File Handling
Reading from and writing to files Working with CSV and JSON data Python Libraries and Modules
Overview of commonly used libraries Introduction to NumPy and Pandas for data manipulation Introduction to Web Scraping (Optional)
Using libraries like BeautifulSoup and Requests Introduction to GUI Programming (Optional)
Creating simple graphical user interfaces with Tkinter Assessment: The course will be assessed through a combination of quizzes, assignments, and a final project. The project will involve applying Python concepts to solve a real-world problem, demonstrating the student's understanding and practical skills.
Prerequisites: No prior programming experience is required for this course. However, basic computer literacy and familiarity with fundamental concepts will be beneficial.
By the end of this course, students will have gained a strong foundation in Python programming and the confidence to tackle more advanced Python-related projects and topics.