Archiconda3

Intro

Archiconda3 is a distribution of conda for 64-bit ARM. Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Like Virtualenv, Anaconda also uses the concept of creating environments so as to isolate different libraries and versions. The goal of this repository is to develop the groundwork needed to compile conda-forge on aarch64. Once that is laid out, we will be working toward backporting much of this work to conda-forge

Setup

Since Archiconda3 is tailored for ARM64 computer (Raspberry Pi, Jetson Devices), the setup process is different from the one with the normal Anaconda. To start off, please follow the setup instructions below:

Download the installation script and run it

$ wget https://github.com/Archiconda/build-tools/releases/download/0.2.3/Archiconda3-0.2.3-Linux-aarch64.sh
$ sudo sh Archiconda3-0.2.3-Linux-aarch64.sh

Export the path where Archiconda is installed, replace <PATH\TO\ARCHICONDA3> to wherever it is installed

$ export PATH=<PATH\TO\ARCHICONDA3>/bin:$PATH
# ig:  export PATH=~/archiconda3/bin:$PATH

Check the version, if Conda is successfully installed, you will see the version info on the terminal.

$ conda -V

To update to the latest version

$ conda update conda
$ conda -V

To prevent Conda from activating the base environment by default

$ conda config --set auto_activate_base false
$ export "PATH=/bin:/usr/bin:$PATH" >> ~/.bashrc
$ source ~/.bashrc
$ which python3

How To Use

Create/Delete an environment

To create an environment

$ conda create --name envname (replace envname in your preference)

To create an environment with a specific version of Python

$ conda create -n envname python=3.6 (replace envname in your preference)

To delete an environment

$ conda remove -n envname --all (replace envname in your preference)

To remove an environment

$ conda remove -n envname --all (replace envname in your preference)

Grant the current user permission

$ sudo chown -R username <PATH\TO>/archiconda

Activate/Deactivate the environment

To activate the environment

$ conda activate envname (replace envname in your preference)

To deactivate the environment

$ conda deactivate

To prevent conda from activating the base environment by default

$ conda config --set auto_activate_base false

Packages installation within an environment

To install a specific package such as SciPy into an existing environment--

$ conda install --name envname pkgname

If you do not specify the environment name, which in this example is done by --name myenv, the package installs into the current environment

$ conda install pkgname

Upgrade pip

$ python3 -m pip install --upgrade pip

Check pip version (Note please make sure you check the path of the pip, or the packages installed with pip/pip3 might not be installed in the conda environment)

$ which pip3

Run jupyter notebook/lab inside the conda virtualenv

$ sudo chown -R username <PATH\TO>/archiconda
$ conda install -c conda-forge jupyterlab
$ conda install -c anaconda ipykernel
$ pip3 install --upgrade --force jupyter-console

Add an env to jupyter

$ ipykernel install --user --name=envname (replace envname in your preference)

Remove an env from jupyter

$ jupyter kernelspec uninstall envname (replace envname in your preference)

List the existing environments

$ jupyter kernelspec list

References:

• https://medium.com/@nrk25693/how-to-add-your-conda-environment-to-your-jupyter-notebook-in-just-4-steps-abeab8b8d084
• http://echrislynch.com/2019/02/01/adding-an-environment-to-jupyter-notebooks

Run jupyter lab remotely from your client machine

For instance, you may open jupter notebook/lab from a windows/mac machine a client.

In the server machine, type the following commands:

$ jupyter lab --generate-config
$ sudo find / -name jupyter*notebook_config.py #it will display the path of the config file
$ vi <PATH\TO\CONFIG>/jupyter_notebook_config.py
# you may change the settings in your own preference.*

In your local client machine type the following commands:

$ rm ~/.ssh/known_hosts
$ ssh -L 8000:localhost:PORT username*@server_ip #check the port by opening jupter lab, the default is 8888 \

Note: you may change 8000 to whatever # in your preference

for example: ssh -L 8000:localhost:9999 [email protected]

type the adrress with the customized in the web browser localhost:8000

first-time login

1. Copy the token from the server terminal
2. Open a web browse from the client, type localhost:PORT (localhost:8000 as default), then it will promot up a windows to ask you to type in the token, just paste the token, and you should be good to go.

If you want to learn more about anaconda please visit the websites below:

• https://www.jianshu.com/p/11f980d912e3
• https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html
• https://blog.csdn.net/weixin_42401701/article/details/80820778