PYTHON IN PYTHON ( S-AC004 )

·         Introduction to Python:

·         History, installation (Windows, Linux), IDEs (e.g., Anaconda), variables, keywords, indentation.

·         Operators:

·         Arithmetic, comparison, assignment, logical, bitwise, membership, identity, ternary operators.

·         Data Types:

·         Strings, lists, tuples, sets, dictionaries (including characteristics and methods).

·         Control Flow:

·         Conditional statements (if, if-else, if-elif-else, nested), loops (for, while, nested loops).

·         Functions:

·         Defining, calling, parameters (default, variable), built-in functions, scope of variables.

·         File Handling:

·         Opening, closing, reading, writing, and various file modes.

·         Advanced Topics (Potentially):

·         Object-Oriented Programming (OOP): Classes, objects, inheritance, polymorphism.

·         Data Structures: Lists, tuples, sets, dictionaries (implementation details, operations).

·         Modules and Packages: Creating and importing modules, working with external packages.

·         Working with Libraries: Examples include:

·         NumPy: Numerical computation and array manipulation.

·         Pandas: Data analysis and manipulation.

·         Matplotlib/Seaborn: Data visualization.

·         Flask/Django: Web development.

·         Scikit-learn: Machine learning.

·         Error Handling: Try-except blocks, raising exceptions.

·         Regular Expressions: Pattern matching.

·         Concurrency: Multithreading, multiprocessing.

·         Networking: Working with sockets.

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