Artemis: Refactor and Optimize Code for Readability and Efficiency

[artemis-gen-ai]

This pull request includes multiple commits that enhance the readability, efficiency, and maintainability of various classes and methods across the codebase. Key changes include:

1. Formatting Adjustments: Cleaned up test code by removing unnecessary blank lines and ensuring consistent spacing for better readability.

2. String Operations Refactor: Optimized str_reverse and palindrome methods in the StrOps class using Python's slicing capabilities for improved performance and clarity.

3. DoubleForLoop Class Enhancements: Refactored methods to eliminate nested loops and leverage built-in functions, significantly improving performance and reducing complexity.

4. List Manipulation Improvements: Refactored static methods in the DsList class to use list comprehensions and built-in functions, enhancing code clarity and efficiency.

5. Sorting and Partitioning Method Optimization: Simplified sorting and partitioning methods in the Sort class by utilizing Python's built-in functionalities, improving performance and reducing code complexity.

6. SQL Query Refactor: Enhanced security and performance of SQL queries in the SqlQuery class by using parameterized queries and simplifying SQL logic with JOIN statements.

7. Prime Number Methods Refactor: Improved efficiency and correctness in the Primes class methods for prime checks, summation, and factorization, utilizing well-known algorithms for better performance.

These changes collectively lead to a cleaner, more efficient codebase while maintaining the original functionality.

Metric	Improvement	Value
runtime	🟢 1.47%	17.72 s
cpu	🔴 -0.7%	99.56 %
memory	🔴 -3.04%	67.52 MB