feat(numpy): add term entry for .repeat() function (#6432)

* feat(numpy): add term entry for .repeat() function

* Update repeat.md

* minor fixes

---------

Author: gabrielaugz

Diff for: content/numpy/concepts/built-in-functions/terms/repeat/repeat.md

@@ -0,0 +1,96 @@
+---
+Title: '.repeat()'
+Description: 'Duplicates elements in an array along a given axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.repeat()`** function in NumPy is used to duplicate items in an array. It provides the option to specify the number of times each element appears, and whether that repetition happens across a specific axis or not. If no axis is mentioned, the array is flattened before repeating.
+
+## Syntax
+
+```pseudo
+numpy.repeat(a, repeats, axis=None)
+```
+
+**Parameters:**
+
+- `a`: The array to work with. This is where the elements come from.
+- `repeats`: An `int` or array of `ints`. If an `int`, each element of `a` is repeated that many times. If an array, it must match the length of `a` (if `axis=None`) or the length of `a` along the specified axis.
+- `axis` (Optional): Sets the direction for repeating.
+
+**Return value:**
+
+Returns a NumPy array with repeated elements. The shape of the result depends on the shape of `a`, the `repeats` value, and whether an `axis` is specified.
+
+## Example 1: Repeating Elements Without Specifying the `axis` Parameter
+
+Here's a simple example where each value in a one-dimensional array gets repeated twice:
+
+```py
+import numpy as np
+
+# Create an array
+arr = np.array([1, 2, 3])
+
+# Repeat each element in the array 2 times
+print(np.repeat(arr, 2))
+```
+
+The above code produces the following output:
+
+```shell
+[1 1 2 2 3 3]
+```
+
+## Example 2: Directional Repetition Using the `axis` Parameter
+
+For multi-dimensional arrays, using the `axis` parameter controls which direction the repetition flows:
+
+```py
+import numpy as np
+
+arr2d = np.array([[1, 2], [3, 4]])
+
+# Repeat each element in the array 2 times along axis 0
+print(np.repeat(arr2d, 2, axis=0))
+
+# Repeat each element in the array 2 times along axis 1
+print(np.repeat(arr2d, 2, axis=1))
+```
+
+The above code produces the following output:
+
+```shell
+[[1 2]
+ [1 2]
+ [3 4]
+ [3 4]]
+[[1 1 2 2]
+ [3 3 4 4]]
+```
+
+## Codebyte Example: Repeating Each Element Three Times
+
+This codebyte example repeats every item in an array three times in a row:
+
+```codebyte/python
+import numpy as np
+
+# Create an array
+arr = np.array([4, 5, 6])
+
+# Repeat each element in the array 3 times
+output = np.repeat(arr, 3)
+
+print(output)
+```