Module 1 – Basics of Python Programming
This module introduces the fundamentals of Python programming and problem-solving techniques. Students learn about programs, debugging, syntax errors, runtime errors, and semantic errors. Basic concepts such as variables, data types, operators, expressions, and input/output operations are covered. Iterative statements like for loops and while loops are explained with practical examples. Functions with arguments and return values are also introduced for code reusability. The module mainly helps students build a strong foundation in programming logic and coding skills.
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Module 2 – Strings, Tuples, and Lists
This module focuses on important Python data structures used in programming. Students learn string operations such as slicing, searching, formatting, and string methods. Tuples are introduced for grouping and handling multiple data values efficiently. Lists and their operations like insertion, deletion, slicing, and looping are explained in detail. Concepts such as nested lists, matrices, aliasing, and cloning are also covered. The module improves data handling and problem-solving abilities using Python collections.
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Module 3 – Dictionaries, NumPy, and File Handling
This module introduces dictionaries for storing data in key-value pair format. Students learn dictionary operations, methods, aliasing, and copying techniques. The basics of NumPy such as arrays, slicing, masking, broadcasting, and data types are also explained. File handling concepts include reading, writing, and managing text and binary files. Working with directories and fetching data from the web are also discussed. This module mainly focuses on efficient data storage, processing, and file management techniques.
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Module 4 – Modules and Object-Oriented Programming
This module explains Python modules and how they simplify programming tasks. Built-in modules like random, math, and time are introduced with practical applications. Students also learn how to create their own modules and understand namespaces and scope rules. The basics of object-oriented programming such as classes, objects, attributes, and methods are covered. Concepts like mutable and immutable objects are discussed clearly. Overall, this module helps students write organized, reusable, and efficient programs.
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Module 5 – Advanced Object-Oriented Programming and Exceptions
This module focuses on advanced object-oriented programming concepts in Python. Students learn about inheritance, polymorphism, operator overloading, and object copying techniques. The module explains how classes can be reused and extended for better software design. Exception handling is also introduced to manage runtime errors effectively. Students learn how to catch exceptions and create custom exceptions in programs. Overall, this module improves coding efficiency, software reliability, and problem-solving skills in real-world applications.