RevPi and scientific python packages (numpy,scipy,pandas..)
Posted: 18 Dec 2018, 19:46
Hello,
I tried to install different scientific Python packages on my RevPi. Unfortunately without success because the memory is insufficient. I have tried the following approaches:
1. Installation with pip, but without success.
2. Installation using sudo apt-get install "python package". Here I was successful, but the versions of the packages are outdated. Especially the scipy package is not very up to date anymore.
After a search I came across the following link:
https://raspberrypi.stackexchange.com/q ... spberry-pi
Here, the installation of the source code is executed, but additional packages are required. After I had installed the additional packages, my memory (3.5 GB, RevPi Core3) was full, so it was not possible to install scipy.
In general, I wonder how to proceed with this small amount of space if you want to install more and larger Python packages.
Can I also install the packages on an external storage (e.g. USB-stick) using "apt-get install" or "pip"?
Or should I use a lightweight image?
Many thanks for the help
Dehe
I tried to install different scientific Python packages on my RevPi. Unfortunately without success because the memory is insufficient. I have tried the following approaches:
1. Installation with pip, but without success.
2. Installation using sudo apt-get install "python package". Here I was successful, but the versions of the packages are outdated. Especially the scipy package is not very up to date anymore.
After a search I came across the following link:
https://raspberrypi.stackexchange.com/q ... spberry-pi
Here, the installation of the source code is executed, but additional packages are required. After I had installed the additional packages, my memory (3.5 GB, RevPi Core3) was full, so it was not possible to install scipy.
In general, I wonder how to proceed with this small amount of space if you want to install more and larger Python packages.
Can I also install the packages on an external storage (e.g. USB-stick) using "apt-get install" or "pip"?
Or should I use a lightweight image?
Many thanks for the help
Dehe