Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. No question about it, Python is a crucial part of modern data science.

When writing python code, it is considered good practice to separate your python environments for different projects. The goal is maintain environments with minimal dependencies for running your ...

- After creating the anaconda environment I install tensorflow. - Then, I try to install ipykernel and jupyter. In this step, these libraries are not installed due to conflicts between packages ...