Anaconda is all about DS/ML. It has its own Python package manager called conda, and it supports pip as well. Managing virtualenv is easy, no need to specify a directory where you want the environment to be set up.
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!!
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!!
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
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Thanks Alara :)
Anaconda is all about DS/ML. It has its own Python package manager called
conda, and it supportspipas well. Managingvirtualenvis easy, no need to specify a directory where you want the environment to be set up.Without a doubt, go for it :)
Sure boss!! that settles it!!!
Heard a lot about ipython interpreter, but anaconda sounds so so robust, it's like a world of it's own
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