randint term added

content/numpy/concepts/random-module/terms/randint/randint.md

@@ -0,0 +1,85 @@
+---
+Title: 'randint()'
+Description: 'Generates random integers within a specified range using NumPy.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Numpy'
+  - 'Python'
+  - 'Random'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**`randint()`** is a function from NumPy's `random` module that generates random integers. It can generate a single integer or an array of integers within a specified range, making it useful for simulations, testing, and randomized operations.
+
+## Syntax
+
+```pseudo
+numpy.random.randint(low, high=None, size=None, dtype=int)
+```
+
+**Parameters:**
+
+- `low` (int): Lowest (inclusive) integer to be drawn.
+- `high` (int, optional): One above the highest integer to be drawn. If not provided, integers are drawn from the range `[0, low)`.
+- `size` (int or tuple of ints, optional): Output shape. If `None`, a single integer is returned.
+- `dtype` (data-type, optional): Desired data type of the output. Default is `int`.
+
+**Return value:**
+
+- `out` (int or ndarray): Random integer(s) from the specified range.
+  - If `size` is `None`, returns a single integer.
+  - If `size` is specified, returns a NumPy array of the given shape.
+
+## Example
+
+This example demonstrates generating random integers:
+
+```py
+import numpy as np
+np.random.seed(15)
+
+# Single random integer from 0 to 9
+single_int = np.random.randint(10)
+print(single_int)
+
+# Array of 5 random integers from 1 to 5
+arr = np.random.randint(1, 6, size=5)
+print(arr)
+```
+
+The output for this code will be:
+
+```shell
+3
+[5 2 2 1 2]
+```
+
+Here:
+
+- `np.random.seed(15)` ensures reproducible results.
+- `np.random.randint(10)` generates a single integer between 0 and 9.
+- `np.random.randint(1, 6, size=5)` generates an array of 5 integers between 1 and 5.
+
+## Codebyte Example
+
+This codebyte sample generates a single random integer and a 2×3 array of random integers from specified ranges, ensuring reproducible results using a fixed random seed:
+
+```codebyte/python
+import numpy as np
+np.random.seed(42)
+
+# Single random integer between 0 and 9
+num = np.random.randint(10)
+print(f"Random integer: {num}")
+
+# 2x3 array of random integers between 1 and 10
+arr = np.random.randint(1, 11, size=(2, 3))
+print(f"Random integers array:\n{arr}")
+```
+
+- `np.random.seed(42)` ensures the code produces the same results every time.
+- `size=(2, 3)` generates a 2D array with 2 rows and 3 columns of random integers.