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DifferentialEquations.jl Online

This is the front-end of http://app.juliadiffeq.org/, a website that solves differential equations in your browser using the power of DifferentialEquations.jl.

Installation

First, make sure you have node installed. You can download it here or with something like

sudo yum install nodejs

and install angular-cli using the instructions here.

Clone the repo and navigate to it. Then run

sudo npm install

to install all the dependencies.

Local development

Run ng serve for a dev server. Navigate a browser to http://localhost:4200/. The app will automatically reload if you change any of the source files.

The development build of the website allows you to select the url of the API, so you can test it with a local instance of the API. To setup the backend API and run it locally, see the repository for the backend.

Development notes for the angular-cli front end

Everything that follows was automatically generated by angular-cli.

This project was generated with angular-cli version 1.0.0-beta.19-3.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive/pipe/service/class.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the -prod flag for a production build.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via Protractor. Before running the tests make sure you are serving the app via ng serve.

Deploying to Github Pages

Run ng github-pages:deploy to deploy to Github Pages.

Further help

To get more help on the angular-cli use ng --help or go check out the Angular-CLI README.

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It's Angular2 business in the front, and a Julia party in the back! It's scientific machine learning (SciML) for the web

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