Merge pull request #9 from DIYA-bot/DIYA-bot-patch-9

Update python-array.md

Author: DIYA-bot

docs/python/python-array.md

@@ -7,19 +7,17 @@ tags:
   [
     Python,
     Array in Python,
-    Introduction of python,
-    Python Syntax,
-    Variables,
-    Operators,
-    Type Casting,
-    String
+    array module,
+    python data structures,
+    array methods,
+    type codes,
   ]
-
+description: Learn how to use arrays in Python using the built-in 'array' module. This guide covers array creation, indexing, slicing, methods, and type codes.
 ---
 
 # Python Arrays
 
-An **Array** in Python is a data structure that stores multiple elements of the **same data type** in contiguous memory locations.  
+An **Array** in Python is a data structure that stores multiple elements of the **same data type** in contiguous memory locations.
 Arrays are **ordered**, **mutable**, and **type-restricted**, making them more memory-efficient than lists for large numeric data.
 
 In Python, arrays are provided by the built-in **`array`** module, which must be imported before use.
@@ -43,229 +41,3 @@ numbers = array.array('i', [1, 2, 3, 4, 5])
 floats = array.array('f', [1.1, 2.2, 3.3])
 
 print(numbers)  # array('i', [1, 2, 3, 4, 5])
-```
-
----
-
-## Type Codes
-
-Arrays in Python require a **type code** to specify the element type:
-
-| Type Code | C Type          | Python Type | Size (bytes) |
-| --------- | --------------- | ----------- | ------------ |
-| `'i'`     | signed int      | int         | 2 or 4       |
-| `'I'`     | unsigned int    | int         | 2 or 4       |
-| `'f'`     | float           | float       | 4            |
-| `'d'`     | double          | float       | 8            |
-| `'b'`     | signed char     | int         | 1            |
-| `'B'`     | unsigned char   | int         | 1            |
-| `'u'`     | Py_UNICODE      | Unicode     | 2            |
-
----
-
-## Indexing
-
-Just like lists, arrays use **zero-based indexing**.
-
-```python
-nums = array.array('i', [10, 20, 30, 40, 50])
-
-print(nums[0])   # 10
-print(nums[2])   # 30
-print(nums[-1])  # 50
-```
-
----
-
-## Slicing
-
-You can slice arrays to get sub-arrays.
-
-```python
-print(nums[1:4])   # array('i', [20, 30, 40])
-print(nums[:3])    # array('i', [10, 20, 30])
-print(nums[::2])   # array('i', [10, 30, 50])
-```
-
-**Syntax:**
-
-```
-array[start:stop:step]
-```
-
----
-
-## Modifying Elements
-
-Arrays are **mutable**, so you can change elements:
-
-```python
-nums[1] = 99
-print(nums)  # array('i', [10, 99, 30, 40, 50])
-```
-
----
-
-## Array Methods
-
-Python's `array` module provides several useful methods:
-
-| Method             | Description                                           |
-| ------------------ | ----------------------------------------------------- |
-| `append(x)`        | Adds an element to the end                            |
-| `insert(i, x)`     | Inserts an element at index `i`                       |
-| `extend(iterable)` | Adds elements from another iterable                   |
-| `remove(x)`        | Removes the first occurrence of the item              |
-| `pop([i])`         | Removes and returns the item at index `i`             |
-| `index(x)`         | Returns the index of the first occurrence of the item |
-| `count(x)`         | Counts how many times the item appears                |
-| `reverse()`        | Reverses the array                                    |
-| `buffer_info()`    | Returns a tuple (memory address, length)              |
-| `tobytes()`        | Converts the array to a bytes object                  |
-| `frombytes(b)`     | Appends items from a bytes object                     |
-
----
-
-### Examples
-
-#### append()
-
-```python
-nums = array.array('i', [1, 2, 3])
-nums.append(4)
-print(nums)  # array('i', [1, 2, 3, 4])
-```
-
-#### insert()
-
-```python
-nums.insert(1, 100)
-print(nums)  # array('i', [1, 100, 2, 3, 4])
-```
-
-#### extend()
-
-```python
-nums.extend([5, 6])
-print(nums)  # array('i', [1, 100, 2, 3, 4, 5, 6])
-```
-
-#### remove() and pop()
-
-```python
-nums.remove(100)
-print(nums)  # array('i', [1, 2, 3, 4, 5, 6])
-
-nums.pop()   # Removes last element
-print(nums)  # array('i', [1, 2, 3, 4, 5])
-
-nums.pop(2)  # Removes index 2
-print(nums)  # array('i', [1, 2, 4, 5])
-```
-
----
-
-## Iterating Through an Array
-
-**Using a for loop:**
-
-```python
-for num in nums:
-    print(num)
-```
-
-**Using indices:**
-
-```python
-for i in range(len(nums)):
-    print(i, nums[i])
-```
-
----
-
-## Membership Test
-
-Check if an element exists in an array:
-
-```python
-print(10 in nums)     # True or False
-print(100 not in nums) # True or False
-```
-
----
-
-## Array from List
-
-```python
-list_data = [1, 2, 3, 4]
-arr = array.array('i', list_data)
-print(arr)
-```
-
----
-
-## Copying Arrays
-
-Assigning directly creates a reference:
-
-```python
-a = array.array('i', [1, 2, 3])
-b = a
-b.append(4)
-print(a)  # array('i', [1, 2, 3, 4])
-```
-
-To make an independent copy:
-
-```python
-c = array.array(a.typecode, a)
-c.append(5)
-
-print(a)  # array('i', [1, 2, 3, 4])
-print(c)  # array('i', [1, 2, 3, 4, 5])
-```
-
----
-
-### **Practice Questions**
-
-1. **Basic Traversal**
-
-    **Q1**: Write a Python program to traverse an array and print each element on a new line.
-
-2. **Maximum Element**
-
-    **Q2:** Write a Python program to find the maximum and minimum elements in an array without using built-in functions.
-
-3. **Array Reversal**
-
-   **Q3:**** Write a Python program to reverse an array without using slicing or the reverse() method.
-  
-
-4. **Insertion Operation**
-   
-   **Q4:** Write a Python program to insert an element at a specific index in an array.
-
-
-5. **Deletion Operation**
-
-    **Q5:** Write a Python program to delete an element from a given index in an array.
-
-6. **Search Element**
-
-   **Q6:** Write a Python program to search for a given element in an array and print its index if found, otherwise print "Not Found".
-
-7. **Sum of Elements**
-
-   **Q7:** Write a Python program to find the sum of all elements in an array without using the sum() function.
-
-8. **Second Largest Element**
-
-    **Q8:** Write a Python program to find the second largest element in an array.
-
----
-
-## Conclusion
-
-Python Arrays are useful when you need to store large amounts of **numeric data** of the same type efficiently.  
-They provide faster performance and smaller memory footprint compared to lists for numerical operations.