Quick-install/provision a fresh Miniconda distribution from scratch.
A script to quickly make/provision a fresh Miniconda installation from scratch.
The goal of this script is to quickly install a fresh Miniconda across different operating systems and use it in a CI/CD context, too. It will download a Miniconda binary based on your operating system, unpack the binary and install it locally. It was tested on MacOS and Linux ok, has decent Windows support and also aims to support ARM6 and ARM7 on the Raspberry Pi via Berryconda (sadly no longer maintained).
This script has no external dependencies, but expects to be run with Python 3.6+.
N.B. This project is often updated online which is why its git history might look strange…
You can use pip (for Python 3) to install and uninstall this package like the following:
pip install mcinstall pip uninstall mcinstall
More recent, not yet released, versions can be installed like the following without cloning the repo:
pip install -e git+https://github.com/deeplook/mcinstall#egg=mcinstall
Or you clone the repo locally and install the package like this:
git clone https://github.com/deeplook/mcinstall.git cd mcinstall pip install -e .
If you run it like this:
it will run a command like this on macOS (using some defaults and decent system introspection) to create a conda base installation:
bash Miniconda3-latest-MacOSX-x86_64.sh -b -f -p ~/Downloads/mc3
This can be activated then with a command like this:
On Windows if you execute this command:
it will run a command like this:
start /wait "" Miniconda3-latest-Windows-x86_64.exe /InstallationType=JustMe /RegisterPython=0 /S /D=%USERPROFILE%\downloads\mc3
This conda installation can be activated then with a command like this:
mcinstall --verbose --pip-dependencies jupyter,torch ~/Downloads/torchy source ~/Downloads/torchy/bin/activate python -c "import torch; print('ok')"
Suggested test dependencies files:
$ more ~/Downloads/reqs.txt asciinema torch torchvision $ more ~/Downloads/env.yml name: test channels: - conda-forge dependencies: - voila
Sample run (replaced home directory with ~ manually):
$ mcinstall --verbose --pip-dependencies jupyter,torch ~/Downloads/torchy Making directory ~/Downloads/torchy. Downloading https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh ... Copying to ~/Downloads/Miniconda3-latest-MacOSX-x86_64.sh ... Running command: bash ~/Downloads/Miniconda3-latest-MacOSX-x86_64.sh -b -f -p ~/Downloads/torchy PREFIX=~/Downloads/torchy Unpacking payload ... Collecting package metadata (current_repodata.json): ...working... done Solving environment: ...working... done [...] Preparing transaction: ...working... done Executing transaction: ...working... done installation finished. Running command: ~/Downloads/torchy/bin/pip install jupyter [...] Running command: ~/Downloads/torchy/bin/pip install torch [...] Run this to start using your fresh Miniconda: "source ~/Downloads/torchy/bin/activate".
Sample log file (mcinstall.log):
wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh mv Miniconda3-latest-MacOSX-x86_64.sh ~/Downloads/Miniconda3-latest-MacOSX-x86_64.sh bash ~/Downloads/Miniconda3-latest-MacOSX-x86_64.sh -b -f -p ~/Downloads/torchy source ~/Downloads/torchy/bin/activate ~/Downloads/torchy/bin/pip install jupyter ~/Downloads/torchy/bin/pip install torch
- improve logging executed commands to reproduce them as a shell script
- add self.clean_dest_path to MinicondaInstaller.__init__
- same with self.download_path
- consolidate Windows support
- improve configuration
- make a sample screencast with asciinema
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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