Analyze and clean malformed HTML, parse web content with Python, and build CGI-based web applications.

Construct server-side applications using PSP, implement XML-RPC services, and validate code with doctest and unittest.

Evaluate application performance using profiling tools and diagnose CGI execution and server configuration issues.

Demonstrate Python integration with Java and .NET, analyze memory management, and package applications with distutils.

Identify the key components of a supervised learning project and the Python libraries required for linear regression.

Interpret data distributions, variable relationships, and outliers using univariate and bivariate exploratory data analysis.

Construct a simple linear regression model in Python by analyzing relationships between independent and dependent variables.

Evaluate regression model predictions using standard performance metrics and compare results with actual outcomes.

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.

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.