Skip to main content

Memestra plugin for the Python Language Server

Project description

pyls-memestra

Binder

Memestra plugin for the Python Language Server

screenshot

Installation

From pip

pip install pyls-memestra

From Mamba

mamba install -c conda-forge pyls-memestra

From Conda

conda install -c conda-forge pyls-memestra

From source

git clone git@github.com:QuantStack/pyls-memestra.git
cd pyls-memestra
python -m pip install -e .

For a development environment

  1. install dependencies

    conda install -c conda-forge python jupyterlab nodejs python-language-server memestra jupyter-lsp
    
  2. install the jupyter-lsp frontend extension:

    jupyter labextension install @krassowski/jupyterlab-lsp           # for JupyterLab 2.x
    # jupyter labextension install @krassowski/jupyterlab-lsp@0.8.0   # for JupyterLab 1.x
    
  3. install the pyls-memestra plugin

    python -m pip install -e .
    

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

pyls-memestra-0.0.9.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

pyls_memestra-0.0.9-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file pyls-memestra-0.0.9.tar.gz.

File metadata

  • Download URL: pyls-memestra-0.0.9.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0

File hashes

Hashes for pyls-memestra-0.0.9.tar.gz
Algorithm Hash digest
SHA256 787489070732773ddabd358dbb6967c82f76c1e2a2300cf91c44743617ffb918
MD5 0ea9fd5b971a6ff7e21470dcb5419b37
BLAKE2b-256 2364cb76665f59d4b4e506490a8155cfdbf549752bd38515c3a937a84ae0912b

See more details on using hashes here.

Provenance

File details

Details for the file pyls_memestra-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: pyls_memestra-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0

File hashes

Hashes for pyls_memestra-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 9e5da836bd7a80105f6a0859682d9bafd95baa3bc2da9854d9844e176d5d896d
MD5 34fad424cbf61c3e1c4a6fb97870e11f
BLAKE2b-256 86417b4457b8b7d24e4ebcc33163a765b755d03ccb46172894c4f84742b1c346

See more details on using hashes here.

Provenance

Supported by

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