Update numpy_basic_to_advance.ipynb

Author: bansalkanav

Module 2 - Python for Data Analysis/02. High Speed Computations with NumPy/numpy_basic_to_advance.ipynb

@@ -3098,7 +3098,21 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "### **Iterating using `np.nditer()`**"
+ "### **Iterating using `np.nditer()`**\n",
+ "\n",
+ "**np.nditer()** is an advanced NumPy iterator that provides efficient element-wise access to arrays.\n",
+ "\n",
+ "**Syntax**\n",
+ "```python\n",
+ "for x in np.nditer(arr, op_flags=[\"readwrite\"]):\n",
+ " x[...] = -1\n",
+ "```\n",
+ "\n",
+ "- The op_flags=['readwrite'] allows modifying array values in-place (default is 'readonly').\n",
+ "- x[...] is equivalent to x = -1, but it ensures modification happens in-place.\n",
+ "- `x` here is just a temporary variable referring to the current element.\n",
+ "- When we do x = -1, it simply reassigns x, but doesn't modify the original array.\n",
+ "- [...] ensures modifications affect the original array.\n"
  ]
  },
  {