diff --git a/content/numpy/concepts/built-in-functions/terms/zeros/zeros.md b/content/numpy/concepts/built-in-functions/terms/zeros/zeros.md
new file mode 100644
index 00000000000..b3222ca096a
--- /dev/null
+++ b/content/numpy/concepts/built-in-functions/terms/zeros/zeros.md
@@ -0,0 +1,73 @@
+---
+Title: '.zeros()'
+Description: 'Creates a new array filled with zeros.'
+Subjects:
+  - 'AI'
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Data Visualization'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Data Structures'
+  - 'Linear Algebra'
+  - 'NumPy'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**`.zeros()`** is a NumPy function used to create a new array of a specified shape, filled entirely with zeros. It is commonly used to initialize arrays before assigning them meaningful data.
+
+## Syntax
+
+```pseudo
+numpy.zeros(shape, dtype=float, order='C')
+```
+
+**Parameters:**
+
+- `shape`: An integer or tuple of integers indicating the dimensions of the array. For example, `(3, 2)` creates a 2D array with 3 rows and 2 columns.
+- `dtype`: The desired data type for the array elements (default is `float`).
+- `order`: Whether to store the array in row-major (`'C'`, default) or column-major (`'F'`) order.
+
+## Example
+
+This example creates a 1D array of five zeros and a 2D array of zeros with shape `(3, 2)` and integer data type using NumPy's `.zeros()` function:
+
+```py
+import numpy as np
+
+array1 = np.zeros(5)
+print(array1)
+
+array2 = np.zeros((3, 2), dtype=int)
+print(array2)
+```
+
+The output of this code will be:
+
+```shell
+[0. 0. 0. 0. 0.]
+[[0 0]
+ [0 0]
+ [0 0]]
+```
+
+## Codebyte Example: Initializing a Sensor Readings Matrix
+
+In this example, we use `.zeros()` to initialize a 2D array to store temperature sensor readings for 7 days across 3 different locations:
+
+```codebyte/python
+import numpy as np
+
+# Initialize a 7x3 matrix for daily temperature readings across 3 locations
+# Rows: Days (1 to 7), Columns: Location 1, 2, and 3
+temperature_readings = np.zeros((7, 3))
+
+print("Initial temperature matrix:")
+print(temperature_readings)
+```
+
+Here, `.zeros()` prepares a placeholder matrix to store daily sensor readings, which will be updated later as data is collected.