Python Algo Set

Description:

This collection of Python scripts encompasses a variety of algorithms and data structures, showcasing fundamental programming concepts and practical applications. Each script is designed to address specific problems or demonstrate particular functionalities, making them valuable resources for learning and reference.

1. ShapeClass.py

This script defines a ShapeClass that serves as a base for various geometric shapes. It includes methods for benchmarking performance, wrapping functions for enhanced functionality, and executing specific algorithms. This foundational class can be extended to create more complex shapes and operations.

2. anagram_hash_function.py

This script focuses on finding anagrams using a hash function. It includes a function to calculate the probabilities of rolling dice, demonstrating how to apply combinatorial logic in Python. The script is useful for understanding how to manipulate strings and utilize hash tables for efficient lookups.

3. animal_shelter.py

The AnimalShelter class in this script simulates an animal shelter system. It includes methods for adding animals, adopting them, and testing various functionalities. This script provides insights into object-oriented programming and data management in Python.

4. basic_set.py

This script implements a basic set data structure with methods to clear the set and perform standard set operations. It serves as an introduction to data structures and their manipulation in Python.

5. casing.py

The casing.py script provides functions to convert strings to lower and upper case. It demonstrates string manipulation techniques and can be useful for text processing tasks.

6. change_ext_file.py

This script allows users to change the file extension of specified files using command-line arguments. It showcases file handling and command-line interface (CLI) programming in Python.

7. const_time_stack.py

This script implements a stack data structure that allows for constant time operations. It includes tests to validate the functionality of the stack, making it a practical example of efficient data structure design.

8. convert_dec_to_any_base_rec.py

This script provides a recursive solution for converting decimal numbers to any base. It illustrates recursion and number base conversions, which are fundamental concepts in computer science.

9. count_unique_words.py and count_unique_words_dict.py

These scripts demonstrate methods for counting unique words in a text file. The first script uses a simple approach, while the second employs a dictionary for more efficient counting. Both scripts are useful for text analysis and processing.

10. fib_generator.py

This script generates Fibonacci numbers using a generator function. It highlights the use of Python generators for efficient memory usage and lazy evaluation.

Conclusion

This set of Python algorithm scripts covers a wide range of topics, from basic data structures and string manipulation to more complex algorithms and file handling. Each script serves as a practical example of Python programming concepts, making them excellent resources for both beginners and experienced developers looking to enhance their skills. By exploring these scripts, users can gain a deeper understanding of algorithm design, data management, and the versatility of Python as a programming language.

Features:

1. ShapeClass.py

This script defines a ShapeClass that serves as a base for various geometric shapes. It includes methods for benchmarking performance, wrapping functions for enhanced functionality, and executing specific algorithms. This foundational class can be extended to create more complex shapes and operations.

2. anagram_hash_function.py

This script focuses on finding anagrams using a hash function. It includes a function to calculate the probabilities of rolling dice, demonstrating how to apply combinatorial logic in Python. The script is useful for understanding how to manipulate strings and utilize hash tables for efficient lookups.

3. animal_shelter.py

The AnimalShelter class in this script simulates an animal shelter system. It includes methods for adding animals, adopting them, and testing various functionalities. This script provides insights into object-oriented programming and data management in Python.

4. basic_set.py

This script implements a basic set data structure with methods to clear the set and perform standard set operations. It serves as an introduction to data structures and their manipulation in Python.

5. casing.py

The casing.py script provides functions to convert strings to lower and upper case. It demonstrates string manipulation techniques and can be useful for text processing tasks.

6. change_ext_file.py

This script allows users to change the file extension of specified files using command-line arguments. It showcases file handling and command-line interface (CLI) programming in Python.

7. const_time_stack.py

This script implements a stack data structure that allows for constant time operations. It includes tests to validate the functionality of the stack, making it a practical example of efficient data structure design.

8. convert_dec_to_any_base_rec.py

This script provides a recursive solution for converting decimal numbers to any base. It illustrates recursion and number base conversions, which are fundamental concepts in computer science.

9. count_unique_words.py and count_unique_words_dict.py

These scripts demonstrate methods for counting unique words in a text file. The first script uses a simple approach, while the second employs a dictionary for more efficient counting. Both scripts are useful for text analysis and processing.

10. fib_generator.py

This script generates Fibonacci numbers using a generator function. It highlights the use of Python generators for efficient memory usage and lazy evaluation.

Requirements:

Python Interpreter

Instructions:

Run in Python Shell or CLI