Skip to main content

mccn engine

Project description

mccn-engine

Installing the MCCN and using the demo notebook.

It is recommended to clone this repository into a pyenv managed virtual environment and install its dependencies with Poetry. Here are some of the main steps to set up your environment so you are able to use the MCCN demo notebook.

1. Install pyenv and pyenv-virtualenv plugin

  • To install this pyenv follow this link
  • To install pyenv-virtualenv follow this link

2. Create a virtual environment using Python 3.12.2

Using pyenv virtualenv with pyenv
  • Follow this link use pyenv virtualenv with pyenv

3. Activate virtualenv

pyenv activate <env_name>

  • For more info follow this link

4. Clone the mccn repository

git clone https://github.com/aus-plant-phenomics-network/mccn-engine

5. Install poetry following the instructions in the link

Note: You might want to add Poetry to the $PATH, copy the $PATH showed when you install Poetry.

On MAC

vim ~/.zshrc

Paste the $PATH in the first row of the file and save file

6. Install dependencies

In the root directory of this repository run the following command:

poetry install

7. Start the Notebook server

python -m notebook

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mccn_engine-0.1.9.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mccn_engine-0.1.9-py3-none-any.whl (30.1 kB view details)

Uploaded Python 3

File details

Details for the file mccn_engine-0.1.9.tar.gz.

File metadata

  • Download URL: mccn_engine-0.1.9.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.22.4 CPython/3.11.8 Linux/5.15.167.4-microsoft-standard-WSL2

File hashes

Hashes for mccn_engine-0.1.9.tar.gz
Algorithm Hash digest
SHA256 718c5ece945939529c0f96e42705efa958b2b754dee1e6d32b21766928ac7310
MD5 e15bbc3a82b13b12da81dce081af73d7
BLAKE2b-256 11a6adf761d8b529ddc8dd1f356fb3bd5bfb00c040f6a6ab2c582100b94319ff

See more details on using hashes here.

File details

Details for the file mccn_engine-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: mccn_engine-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 30.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.22.4 CPython/3.11.8 Linux/5.15.167.4-microsoft-standard-WSL2

File hashes

Hashes for mccn_engine-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 32c5f8de12f8af22a5baf05fb0cc2f9757f6ba40bcf93dd30c89d31a25a5e293
MD5 069d8ae40ac13a6e6d11b1c616ce1d0f
BLAKE2b-256 1b9634086b1f73032751b871d37f0cdff1fe6b5161609fca995fe11ad0dddd3f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page