1. Modules and Packages (12%)

• Import and use modules and packages: Covers various import methods (import, from import, import as, import *), advanced qualifying for nested modules, and using dir() and sys.path.
• Perform evaluations using the math module: Includes functions like ceil(), floor(), trunc(), factorial(), hypot(), and sqrt().
• Generate random values using the random module: Focuses on functions such as random(), seed(), choice(), and sample().
• Discover host platform properties using the platform module: Utilizes this module to get information about the system.
• Create and use user-defined modules and packages: Develops skills in organizing code into reusable modules and packages.

2. Exceptions (14%)

• Handle errors using Python-defined exceptions: Covers except, except: - except, except: - else:, except (e1, e2), exception hierarchy, raise, raise ex, assert, and the arg property of exceptions.
• Extend the Python exceptions hierarchy with self-defined exceptions: Focuses on creating and using custom exception classes.

3. Strings (18%)

• • Understand machine representation of characters: Includes encoding standards like ASCII, UNICODE, UTF-8, code points, and escape sequences.
• Operate on strings: Covers ord(), chr(), indexing, slicing, immutability, iterating, concatenating, multiplying, comparing, and in/not in operators.
• Employ built-in string methods: Utilizes methods like .isxxx(), .join(), .split(), .sort(), sorted(), .index(), .find(), and .rfind().

4. Object-Oriented Programming (34%)

• Understand the Object-Oriented approach: Covers core concepts like class, object, property, method, encapsulation, inheritance, superclass, subclass, and identifying class components.
• Employ class and object properties: Differentiates between instance and class variables, their declarations, initializations, private components, and name mangling.
• Equip a class with methods: Focuses on adding functionality to classes through methods.
• Discover the class structure: Explores the internal structure of classes, including the dict property.
• Build a class hierarchy using inheritance: Implements inheritance to create specialized classes from general ones.
• Construct and initialize objects: Covers the process of creating instances of classes and initializing their attributes.

5. Miscellaneous (List Comprehensions, Lambdas, Closures, and I/O Operations) (22%)

• Build complex lists using list comprehension: Includes the if operator and nested comprehensions.
• Embed lambda functions into the code: Defines and uses anonymous lambda functions, as well as self-defined functions that take lambdas as arguments, often with map() and filter().
• Define and use closures: Understands the meaning and rationale behind closures and how to define and use them.
• Understand basic Input/Output terminology: Covers I/O modes, predefined streams, handles vs. streams, and text vs. binary modes.
• Perform Input/Output operations: Focuses on using the open() function and understanding the errno variable.

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