Javascript Dev, who wants to build amazing things with the MERN stack.
I also have an interest in Data science and Machine-learning.
Getting better every day. Filled with wisdom from above!!
Jupyter lab seems more intuitive than Jupyter notebooks although i got both of them to work offline
What I am trying to wrap my head around now is the whole environments thing in anaconda.
It seems to me that packages are different from the tools(Matplotlib, NumPy ... ) (Jupyter, kite, Ipython ...)
So the tools are always available in every environment, but the packages have to be installed I think, as they are only available in the base environment, which isn't encouraged to be worked on.
My question is, when we install a package (say numpy), that is already in the base environment, is it installed fresh from the internet, or is it just copied over from the base conda environment. ?
If you are using Anaconda distribution, you don’t need to separately installing NumPy or any of the major packages , like pandas, Scikit-Learn... To use NumPy, you just run the command import numpy as np.
But if you have not installed Anaconda, but you have Python installed, in that case you have to install it using conda install numpy or pip install numpy. Installing will require an internet connection this time. Then you will import it - import numpy as np
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Try JupyterLab once you insall Anaconda. You will fall in love with it.
Here is how it looks.
Jupyter lab seems more intuitive than Jupyter notebooks although i got both of them to work offline
What I am trying to wrap my head around now is the whole environments thing in anaconda.
It seems to me that packages are different from the tools(Matplotlib, NumPy ... ) (Jupyter, kite, Ipython ...)
So the tools are always available in every environment, but the packages have to be installed I think, as they are only available in the base environment, which isn't encouraged to be worked on.
My question is, when we install a package (say numpy), that is already in the base environment, is it installed fresh from the internet, or is it just copied over from the base conda environment. ?
If you are using Anaconda distribution, you don’t need to separately installing NumPy or any of the major packages , like pandas, Scikit-Learn... To use NumPy, you just run the command
import numpy as np.But if you have not installed Anaconda, but you have Python installed, in that case you have to install it using
conda install numpyorpip install numpy. Installing will require an internet connection this time. Then you will import it -import numpy as np