Install Miniconda 3 on Raspberry Pi

miniconda_on_rpi.md

refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b

{USER}: pi

Install Miniconda 3:

wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -> change default directory to /home/pi/miniconda3
sudo nano /home/pi/.bashrc # -> add: export PATH="/home/pi/miniconda3/bin:$PATH"
sudo reboot -h now

Test:

conda
python --version

If Conda update miss permission of the directory:

sudo chown -R pi miniconda3

Hi in my stance, i could install "conda numpy conda" after typing "conda update conda"

hi guys,

Miniconda3-latest-Linux-armv7l.sh is an almost 5 years old version.
Not seen anyone mention this point.

Could someone suggest where to find the latest version please?

hi guys,

Miniconda3-latest-Linux-armv7l.sh is an almost 5 years old version.
Not seen anyone mention this point.

Could someone suggest where to find the latest version please?

This project is more up to date: https://github.com/jjhelmus/berryconda

hi guys,

Miniconda3-latest-Linux-armv7l.sh is an almost 5 years old version.
Not seen anyone mention this point.

Could someone suggest where to find the latest version please?

This project is more up to date: https://github.com/jjhelmus/berryconda

thanks @elliptic-porcupine ,

After installed the berryconda, it breaks my PyTorch and installed older Python 3.6
I have to use python3.7 to run my original python 3.7.3

My Raspberry Pi 4 comes with Python 3.7.3 installed.

here is error message.

Could you help please?

>>> import torch
Traceback (most recent call last):
  File "/home/pi/.local/lib/python3.7/site-packages/numpy/core/__init__.py", line 24, in <module>
    from . import multiarray
  File "/home/pi/.local/lib/python3.7/site-packages/numpy/core/multiarray.py", line 14, in <module>
    from . import overrides
  File "/home/pi/.local/lib/python3.7/site-packages/numpy/core/overrides.py", line 7, in <module>
    from numpy.core._multiarray_umath import (
ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.7/dist-packages/torch/__init__.py", line 81, in <module>
    from torch._C import *
  File "/home/pi/.local/lib/python3.7/site-packages/numpy/__init__.py", line 142, in <module>
    from . import core
  File "/home/pi/.local/lib/python3.7/site-packages/numpy/core/__init__.py", line 54, in <module>
    raise ImportError(msg)
ImportError: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
  1. Check that you expected to use Python3.7 from "/usr/bin/python3.7",
     and that you have no directories in your PATH or PYTHONPATH that can
     interfere with the Python and numpy version "1.18.1" you're trying to use.
  2. If (1) looks fine, you can open a new issue at
     https://github.com/numpy/numpy/issues.  Please include details on:
     - how you installed Python
     - how you installed numpy
     - your operating system
     - whether or not you have multiple versions of Python installed
     - if you built from source, your compiler versions and ideally a build log

- If you're working with a numpy git repository, try `git clean -xdf`
  (removes all files not under version control) and rebuild numpy.

Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.

Original error was: libf77blas.so.3: cannot open shared object file: No such file or directory

conda config --set auto_activate_base false
when i tried to use this it throws an error is there any other way to deactivate miniconda?

@loganyc1934 I had the same experience with an older installation of conda, tried updating and had the same experience again. I think the problem is basically that conda packages need to be built specifically for the ARM architecture that RPi uses, and there just aren't many people building them on this architecture. A year or two ago, the situation was better. But nowadays, most of those old builds have disappeared, which means that conda just isn't a good solution for RPi beyond the basic installation of python and pip. In fact, even the most recent installer only installs python 3.4, which is almost 4.5 years old (ancient in conda), and older than the default python3 installed with raspbian.

But the upside is that pip has really improved drastically in recent years. Since I think most of us are using some *nix OS on the RPi, we probably have compilers, and pip is pretty good at compiling things for you automatically. If you need the nice environment management that conda brought, you can now use pipenv. So that's probably the better solution now.

You're right! Miniconda only supports to create env with python 3.4 on Raspi now , I hope I had read your reply before trying it. I have to uninstall Miniconda.

@vinayak19th:

curl -sSL https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh > anaconda.sh \
&& bash anaconda.sh -b -p /opt/anaconda \
&& /opt/anaconda/bin/conda update -y --all \
&& export PATH="${PATH}:/opt/anaconda/bin" \
&& echo ". /opt/anaconda/etc/profile.d/conda.sh" >> ~/.bashrc \
&& . ~/.bashrc

@vinayak19th:

curl -sSL https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh > anaconda.sh \
&& bash anaconda.sh -b -p /opt/anaconda \
&& /opt/anaconda/bin/conda update -y --all \
&& export PATH="${PATH}:/opt/anaconda/bin" \
&& echo ". /opt/anaconda/etc/profile.d/conda.sh" >> ~/.bashrc \
&& . ~/.bashrc

Thanks. I got it

https://www.raspberrypi.com/news/raspberry-pi-os-64-bit/
Few days ago, Feb 2nd, Raspberry Pi OS is out of beta. I think it's worth trying official Conda install methods again. I will update this comment with results.