Prepare and parse web content, build CGI applications, and configure Apache for server-side Python execution.

Test, debug, and profile Python web applications using doctest, unittest, and performance analysis tools.

Integrate Python with Java and .NET runtimes, examine memory management, and package modules using distutils.

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

Analyze data distributions, variable relationships, and outliers using exploratory data analysis and graphical techniques.

Construct a simple linear regression model in Python and use it to generate predictions.

Evaluate model accuracy using performance metrics and prediction comparisons, and interpret the results.

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 ciphers and encryption/decryption tools using Python.

Analyze brute-force attacks and identify weaknesses in cryptographic systems.

Construct and validate RSA key pairs using modular arithmetic principles.

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