[Term entry] Python:Numpy Math Function: .hypot() (#5550)

* Create hypot term for numpy math-methods

* Update hypot.md

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Update content/numpy/concepts/math-methods/terms/hypot/hypot.md

Co-authored-by: Mamta Wardhani <[email protected]>

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Review Fixes

* Minor Fixes

* Update hypot.md

* Update hypot.md

* Update hypot.md

* Update hypot.md

content/numpy/concepts/math-methods/terms/hypot/hypot.md

@@ -0,0 +1,86 @@
+---
+Title: '.hypot()'
+Description: 'Returns the hypotenuse of a right triangle, given the legs.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Math'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+  - 'paths/data-science'
+  - 'paths/data-science-foundations'
+---
+
+In [Numpy](https://www.codecademy.com/resources/docs/numpy), the **`.hypot()`** function returns the hypotenuse of a right triangle, given the legs.
+
+## Syntax
+
+```pseudo
+numpy.hypot(x1, x2, out=None, where=True)
+```
+
+- `x1`, `x2`: These are the legs of the triangle(s). If the shapes of `x1` and `x2` are not identical, they must be broadcastable to a common shape.
+- `out` (Optional): This parameter specifies an array where the result will be stored. The shape of `out` must match the shape of the output. If not provided, a new array will be allocated for the result.
+- `where` (Optional): An optional condition that can be applied element-wise on the input arrays. The result will only be computed where the condition is `True`. If the condition is `False` for an element, that element’s result will be ignored.
+
+## Example 1
+
+The below example calculates the hypotenuse of a right triangle:
+
+```py
+import numpy as np
+
+print("If the first leg is 3 and the second is 4, the hypotenuse is ", np.hypot(3, 4))
+```
+
+The code above generates the following output:
+
+```shell
+If the first leg is 3 and the second is 4, the hypotenuse is  5.0
+```
+
+## Example 2
+
+The following example calculates the hypotenuses of three right triangles:
+
+```py
+import numpy as np
+
+# Creating the sides of three triangles
+triangle_leg1 = [3,5,6]  # First leg of each triangle
+triangle_leg2 = [4,12,8]  # Second leg of each triangle
+
+# Computing the hypotenuses
+hypotenuses = np.hypot(array1, array2)
+
+print("Calculated hypotenuses:", hypotenuses)
+print("\nThe hypotenuses are {}, {} and {}, respectively.".format(hypotenuses[0], hypotenuses[1], hypotenuses[2]))
+```
+
+The code above generates the following output:
+
+```shell
+Calculated hypotenuses: [ 5. 13. 10.]
+
+The hypotenuses are 5.0, 13.0 and 10.0, respectively.
+```
+
+## Codebyte Example
+
+In this codebyte, `.hypot()` computes the hypotenuses for two triangles. The first triangle has legs of _2_ and _3_, and the second triangle has legs of _8_ and _15_.
+
+```codebyte/python
+import numpy as np
+
+first_leg = [2, 8]  # First leg of each triangle
+second_leg = [3, 15]  # Second leg of each triangle
+
+# Calculate the hypotenuses for each triangle
+hypotenuses = np.hypot(first_leg, second_leg)
+
+print("The calculated hypotenuses are:", hypotenuses)
+```