From 50e54acca42c12b5b94c1fe77eb4e1dd42d1004c Mon Sep 17 00:00:00 2001
From: Roberto Ugalde <94400091+rober12345@users.noreply.github.com>
Date: Thu, 21 Nov 2024 15:44:24 -0600
Subject: [PATCH] ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full  21nov2024

ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full  21nov2024
---
 ...OPTIMIZATION  rober ugalde ex1 _2__full.py | 119 ++++++++++++++++++
 1 file changed, 119 insertions(+)
 create mode 100644 notebook/ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full.py

diff --git a/notebook/ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full.py b/notebook/ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full.py
new file mode 100644
index 00000000..258a44d9
--- /dev/null
+++ b/notebook/ALGORITHM OPTIMIZATION  rober ugalde ex1 _2__full.py	
@@ -0,0 +1,119 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Thu Nov 21 15:23:31 2024
+ALGORITHM OPTIMIZATION
+
+
+@author: rober ugalde
+
+
+
+Exercise 1
+Code Optimization for Text Processing
+"""
+
+
+
+from collections import Counter
+import string
+
+def clean_text(text):
+    """
+    Converts text to lowercase and removes punctuation marks.
+    """
+    translator = str.maketrans('', '', string.punctuation)  # Create translation table for removing punctuation
+    return text.lower().translate(translator)
+
+def count_frequencies(words):
+    """
+    Counts the frequency of each word using Counter from collections.
+    """
+    return Counter(words)
+
+def get_top_n_words(frequencies, n=5):
+    """
+    Returns the n most common words and their frequencies.
+    """
+    return frequencies.most_common(n)
+
+def process_text(text):
+    """
+    Main function to process text: clean, count frequencies, and find top words.
+    """
+    # Clean text and split into words
+    cleaned_text = clean_text(text)
+    words = cleaned_text.split()
+
+    # Count word frequencies
+    word_frequencies = count_frequencies(words)
+
+    # Get the 5 most common words
+    top_5_words = get_top_n_words(word_frequencies, n=5)
+
+    # Display results
+    for word, frequency in top_5_words:
+        print(f"'{word}': {frequency} times")
+
+# Example text
+text = """
+    In the heart of the city, Emily discovered a quaint little café, hidden away from the bustling streets. 
+    The aroma of freshly baked pastries wafted through the air, drawing in passersby. As she sipped on her latte, 
+    she noticed an old bookshelf filled with classics, creating a cozy atmosphere that made her lose track of time.
+"""
+
+# Process and analyze text
+process_text(text)
+
+
+
+"""
+Exercise 2
+Code Optimization for List Processing
+
+
+
+
+project 2
+
+"""
+
+import math
+
+def is_prime(n):
+    """
+    Check if a number is prime.
+    Optimized for efficiency by reducing redundant checks.
+    """
+    if n <= 1:
+        return False
+    if n <= 3:
+        return True  # 2 and 3 are prime numbers
+    if n % 2 == 0 or n % 3 == 0:
+        return False
+    for i in range(5, int(math.sqrt(n)) + 1, 6):  # Check factors of 6k ± 1
+        if n % i == 0 or n % (i + 2) == 0:
+            return False
+    return True
+
+def process_list(list_):
+    """
+    Process the list: filter even numbers, double them, calculate the sum, 
+    and check if the sum is prime.
+    """
+    # Filter, double, and sum in a single comprehension
+    doubled_sum = sum(num * 2 for num in list_ if num % 2 == 0)
+    
+    # Check if the result is prime
+    prime = is_prime(doubled_sum)
+    
+    return doubled_sum, prime
+
+# Example list
+list_ = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+
+# Process the list
+result, result_prime = process_list(list_)
+print(f"Result: {result}, Prime? {'Yes' if result_prime else 'No'}")
+
+
+