With PIP, you install packages from PyPI. And they are not always binaries. So if there is no binary, people will try to build this package from sources. If you're missing some dependencies on your computer, then it's going to crash. Conda has like a very good support for all those data science packages. You just install them, you have all the dependencies installed. It makes things much, much easier in that sense.