Questions relative to Mojo's optimization and speed
Hello, I have a project in Python that requires doing a lot of processing on datas and I'm noticing it taking a lot of time. So I'm planning to use Mojo instead of Python.
1. I know that Mojo is way faster than Python in most cases but I'm wondering if it's still the case if I use python libraries like pandas or scikit-learn like so:
How can Mojo run these libraries functions without the python interpreter being slow ?
2. Also, if I'm writing this command << %%python >> in a jupyter notebook cell with the Mojo kernel activated, will the code below be executed by the python interpreter or by the Mojo compiler?
1. I know that Mojo is way faster than Python in most cases but I'm wondering if it's still the case if I use python libraries like pandas or scikit-learn like so:
How can Mojo run these libraries functions without the python interpreter being slow ?
2. Also, if I'm writing this command << %%python >> in a jupyter notebook cell with the Mojo kernel activated, will the code below be executed by the python interpreter or by the Mojo compiler?
