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Python Coding Interview Questions And Answers. This is the code fixed

Python Coding Interview Questions And Answers Fixed.py

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+import numpy as np  # Import NumPy for efficient arrays (habit for numerical tasks)
+
+def debug_script(filename):  # Reusable debugging function with clear naming
+    """Starts the Python debugger for the given script."""
+    import pdb  # Import pdb for debugging
+    pdb.runfile(filename)  # Concise way to start debugging
+
+def days_generator(start_index=0):  # Generator function for day names
+    """Yields day names sequentially, starting from the given index."""
+    days = ['S', 'M', 'T', 'W', 'Tr', 'F', 'St']
+    for day in days[start_index:]:
+        yield day
+
+def list_to_string(data):  # Function to handle various data types
+    """Converts a list, tuple, or set to a string with spaces between elements."""
+    if isinstance(data, (list, tuple, set)):
+        return ' '.join(data)
+    raise TypeError("Input must be a list, tuple, or set")  # Handle invalid input
+
+def count_occurrences(data, element):  # Function for counting occurrences
+    """Counts the number of times 'element' appears in 'data' (list or tuple)."""
+    if not isinstance(data, (list, tuple)):
+        raise TypeError("Input must be a list or tuple")
+    return data.count(element)
+
+def create_numpy_array(data):  # Function for array creation (flexible for different data types)
+    """Creates a NumPy array from a list, tuple, or even another NumPy array."""
+    return np.array(data)
+
+# Example usage (can be refactored into a more modular structure if needed)
+day_gen = days_generator(2)  # Get day names starting from index 2 (Wednesday)
+print(next(day_gen))  # Print the first day
+
+weekdays = ['M', 'W', 'F']
+print(list_to_string(weekdays))  # Print weekdays as a string
+
+my_list = [1, 2, 2, 3, 4]
+print(count_occurrences(my_list, 2))  # Count occurrences of 2
+
+data = [5, 6, 7]
+arr = create_numpy_array(data)
+print(arr.dtype)  # Check the array's data type (habit for type awareness)