معرفی شرکت ها


Escher-legacy-1.7.4


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Escher-legacy: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Metabolic Pathways
ویژگی مقدار
سیستم عامل -
نام فایل Escher-legacy-1.7.4
نام Escher-legacy
نسخه کتابخانه 1.7.4
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Zachary King
ایمیل نویسنده -
آدرس صفحه اصلی https://escher.github.io
آدرس اینترنتی https://pypi.org/project/Escher-legacy/
مجوز MIT
[![PyPi](https://img.shields.io/pypi/v/escher.svg)](https://pypi.python.org/pypi/Escher) [![NPM](https://img.shields.io/npm/v/escher.svg)](https://www.npmjs.com/package/escher) [![Gitter.im](https://img.shields.io/gitter/room/zakandrewking/gitter.svg?color=orange)](https://gitter.im/zakandrewking/escher) [![Documentation Status](https://readthedocs.org/projects/escher/badge/?version=latest)](https://escher.readthedocs.io/en/latest/?badge=latest) [![Travis](https://img.shields.io/travis/zakandrewking/escher/master.svg)](https://travis-ci.org/zakandrewking/escher) [![Coverage Status](https://img.shields.io/coveralls/zakandrewking/escher/master.svg)](https://coveralls.io/github/zakandrewking/escher?branch=master) [![MIT](https://img.shields.io/pypi/l/escher.svg?color=blueviolet)](https://github.com/zakandrewking/escher/blob/master/LICENSE) # Escher Escher is a web-based tool to build, view, share, and embed metabolic maps. The easiest way to use Escher is to browse or build maps on the [Escher website](http://escher.github.io/). Visit the [documentation](http://escher.readthedocs.org/) to get started with Escher and explore the API. Check out the [developer docs](https://escher.readthedocs.org/en/latest/development.html), the [Gitter chat room](https://gitter.im/zakandrewking/escher), and the [Development Roadmap](https://github.com/zakandrewking/escher/wiki/Development-Roadmap) for information on Escher development. Feel free to submit bugs and feature requests as Issues, or, better yet, Pull Requests. Follow [@zakandrewking](https://twitter.com/zakandrewking) for Escher updates. You can help support Escher by citing our publication when you use Escher or EscherConverter: Zachary A. King, Andreas Dräger, Ali Ebrahim, Nikolaus Sonnenschein, Nathan E. Lewis, and Bernhard O. Palsson (2015) *Escher: A web application for building, sharing, and embedding data-rich visualizations of biological pathways*, PLOS Computational Biology 11(8): e1004321. doi:[10.1371/journal.pcbi.1004321](http://dx.doi.org/10.1371/journal.pcbi.1004321) Escher was developed at [SBRG](http://systemsbiology.ucsd.edu/). Funding was provided by [The National Science Foundation Graduate Research Fellowship](https://www.nsfgrfp.org) under Grant no. DGE-1144086, The European Commission as part of a Marie Curie International Outgoing Fellowship within the EU 7th Framework Program for Research and Technological Development ([EU project AMBiCon, 332020](http://ec.europa.eu/research/mariecurieactions/node_en)), and [The Novo Nordisk Foundation](http://novonordiskfonden.dk/) through [The Center for Biosustainability](https://www.biosustain.dtu.dk/) at the Technical University of Denmark (NNF10CC1016517) # Building and testing Escher ## JavaScript First, install dependencies with [npm](https://www.npmjs.com) (or you can use [yarn](https://yarnpkg.com)): ``` npm install ``` Escher uses webpack to manage the build process. To run typical build steps, just run: ``` npm run build ``` You can run a development server with: ``` npm run start # or for live updates when the source code changes: npm run watch ``` To test the JavaScript files, run: ``` npm run test ``` ## Python Escher has a Python package for generating Escher visualizations from within a Python data anlaysis session. To learn more about using the features of the Python package, check out the documentation: https://escher.readthedocs.io/en/latest/escher-python.html You can install it with pip: ``` pip install escher ``` ## Jupyter extensions When you `pip install escher`, the Jupyter notebook extension should be installed automatically. If that doesn't work, try: ```bash # The notebook extenstion should install automatically. You can check by running: jupyter nbextension list # Make sure you have version >=5 of the `notebook` package pip install "notebook>=5" # To manually install the extension jupyter nbextension install --py escher jupyter nbextension enable --py escher # depending on you environment, you might need the `--sysprefix` flag with those commands ``` To install the Jupyter lab extension, simply install Escher with `pip install escher` then install the extension: ```bash jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension install escher ``` ## Python/Jupyter Development For development of the Python package, first build the JavaScript package and copy it over to the `py` directory with these commands in the Escher root: ``` npm install npm run build npm run copy ``` Then in the `py` directory, install the Python package: ``` cd py pip install -e . # installs escher in develop mode and dependencies ``` For Python testing, run this in the `py` directory: ``` cd py pytest ``` To develop the Jupyter notebook and Jupyter Lab extensions, you will need install them with symlinks. First, install the Python package for development as described above. For the Jupyter notebooks, run: ``` cd py jupyter nbextension install --py --symlink escher jupyter nbextension enable --py escher ``` If you are using virtualenv or conda, you can add the `--sys-prefix` flag to those commands to keep your environment isolated and reproducible. When you make changes, you will need to `yarn build && yarn copy` and refresh notebook browser tab. For Jupyter Lab, run (in the root directory): ``` yarn watch # keep this running as a separate process jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension link jupyter lab --watch ``` If you don't see changes when you edit the code, try refreshing or restarting `jupyter lab --watch`. ## Docs Build and run the docs:: ``` cd docs ./build_docs cd _build/html python -m SimpleHTTPServer # python 2 python -m http.server # python 3 ```


نیازمندی

مقدار نام
>=2.7.3 Jinja2
>=4.0.1 pytest
>=0.5.0 cobra
>=3.0.1 jsonschema
>=7.4.0 ipywidgets
>=0.18 pandas
>=2.1.1 sphinx
>=0.4.3 sphinx-rtd-theme
>=0.4.2 nbsphinx


نحوه نصب


نصب پکیج whl Escher-legacy-1.7.4:

    pip install Escher-legacy-1.7.4.whl


نصب پکیج tar.gz Escher-legacy-1.7.4:

    pip install Escher-legacy-1.7.4.tar.gz