Perform matrix operations, list/dictionary handling, and arithmetic.

Apply sorting, searching, and advanced string manipulation.

Evaluate and implement efficient Python data solutions.

Apply advanced file handling and best practices in Python.

Design OOP programs with classes, objects, and data structures.

Implement exception handling and use Python’s standard library.

Build a chatbot with NLTK and rule-based logic.

Design an expense manager app with SQL and visualization.

Implement markup processing and PDF generation workflows.

Implement classical encryption and decryption techniques including Caesar transposition affine substitution Vernam and Vigenère ciphers in Python.

Analyze cryptographic systems by applying brute force methods and evaluating cipher strengths and vulnerabilities.

Differentiate encoding, hashing, symmetric encryption, and public-key cryptography using practical Python examples.

Construct RSA key pairs and build secure encryption and decryption workflows using Python and cryptographic libraries.

Identify the key concepts, Python tools, libraries, and machine learning algorithms used for sentiment analysis and text classification.

Construct a sentiment analysis pipeline by cleaning text data, training models, and evaluating performance using standard metrics.