'Is Python Memory management different in different IDEs?

So I ran the below code in Jupyter notebook, spyder and pycharm

a = 10000
b = 10000
print(id(a))
print(id(b))

The result in Jupyter notebook is the output has different memory addresses, but in spyder and pycharm they are both same.

Could someone explain why this is so? And does memory management differs for IDEs?!

Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Solution	Source