0x04-python-more_data_structures

Python - More Data Structures: Set, Dictionary

In this project, I learned about sets and dictionaries in Python. I practiced using them with the lambda, map, filter, and reduce methods.

Tasks 📃

• 0. Squared simple

  • 0-square_matrix_simple.py: Python function that computes the square value of all integers of a matrix.
  • The parameter matrix is a two-dimensional array.
  • Returns a matrix of the same size as matrix where each value is the square of the input value.
  • The initial matrix is not modified.
  • Without importing modules.

• 1. Search and replace

  • 1-search_replace.py: Python function that replaces all occurences of an element by another in a new list.
  • The parameter my_list is the initial list.
  • The parameter search is the element to replace in the list.
  • The parameter replace is the new element.
  • Without importing modules.

• 2. Unique addition

  • 2-uniq_add.py: Python function that adds all unique integers in a list (once for each integer).
  • Without importing modules.

• 3. Present in both

  • 3-common_elements.py: Python function that returns a set of common elements in two sets.
  • Without importing modules.

• 4. Only differents

  • 4-only_diff_elements.py: Python function that returns a set of all elements present in only one set.
  • Without importing modules.

• 5. Number of keys

  • 5-number_keys.py: Python function that returns the number of keys in a dictionary.
  • Without importing modules.

• 6. Print sorted dictionary

  • 6-print_sorted_dictionary.py: Python function that prints a dictionary by ordered keys.
  • The function assumes all keys are strings.
  • Keys are printed in alphabetic order.
  • Keys are only sorted on the first level.
  • Dictionary values can have any type.
  • Without importing modules.

• 7. Update dictionary

  • 7-update_dictionary.py: Python function that replaces or adds key/value pairs in a dictionary.
  • The parameter key is always a string.
  • The parameter value is any type.
  • If a key exists in the dictionary, the value is replaced.
  • If a key does not exist in the dictionary, it is created.
  • Without importing modules.

• 8. Simple delete by key

  • 8-simple_delete.py: Python function that deletes a key in a dictionary.
  • The paramter key is always a string.
  • If the key does not exist, the dictionary does not change.
  • Without importing modules.

• 9. Multiply by 2

  • 9-multiply_by_2.py: Python function that returns a new dictionary with all values multiplied by 2.
  • The function assumes all values are integers.
  • Without importing modules.

• 10. Best score

  • 10-best_score.py: Python function that returns a key value with the biggest integer value.
  • The function assumes all values are integers.
  • The function assumes all students have a different score.
  • If no score is found, the functino returns None.
  • Without importing modules.

• 11. Multiply by using map

  • 11-multiply_list_map.py: Python function that returns a list with all values multiplied by a number using map.
  • Returns a new list of the same length as my_list with each value multiplied by number.
  • The initial list is not modified.
  • Without using loops or importing modules.

• 12. Roman to Integer

  • 12-roman_to_int.py: Python function that converts a roman numeral to an integer.
  • The function assumes the number will be between 1-3999.
  • If the parameter roman_string is not a string or None, the function returns 0.

• 13. Weighted average!

  • 100-weight_average.py: Python function that returns the weighted average of all integers in a list of tuples.
  • Tuple format: (<score>, <weight>).
  • If the list is empty - returns 0.
  • Without importing modules.