Artemis: Refactor and Optimize Code for Readability and Efficiency #10
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This pull request includes multiple commits that enhance the readability, efficiency, and maintainability of various classes and methods across the codebase. Key changes include:
Formatting Adjustments: Cleaned up test code by removing unnecessary blank lines and ensuring consistent spacing for better readability.
String Operations Refactor: Optimized
str_reverse
andpalindrome
methods in theStrOps
class using Python's slicing capabilities for improved performance and clarity.DoubleForLoop Class Enhancements: Refactored methods to eliminate nested loops and leverage built-in functions, significantly improving performance and reducing complexity.
List Manipulation Improvements: Refactored static methods in the
DsList
class to use list comprehensions and built-in functions, enhancing code clarity and efficiency.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.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.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.