pythy

KO | EN

gitlite — search

#javascript #ai #typescript #go #machine-learning #deep-learning #macos #nodejs #awesome #cli #pytorch #openai #mcp #open-source

(★ 19)

Pythy – the Cloud-Based IDE for Novice Python Programmers

pythy 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

Pythy -- The Cloud-Based IDE for Novice Python Programmers
==========================================================

Pythy is a web-based programming environment for Python that
**eliminates software-related barriers to entry** for
novice programmers, such as installing the language runtime and IDE
and properly configuring other dependencies. Within seconds, students can
begin **writing code, watch it execute, debug it, and access support materials and tutorials**,
all from within the familiar context of their **web browser**.  
For more information please see the [slides](http://sofia.cs.vt.edu/cta-mediacomp/presentation.pdf) and the [paper](http://dl.acm.org/citation.cfm?id=2538977)

Setup Instructions
------------------
### Dependencies to be installed manually

1. Ruby
2. The Ruby on Rails framework. 
3. Mysql client and server. (For linux install the dev packages also.)
4. A JavaScript runtime (Ex: Node.js)
5. The Redis server.
6. The [lame](http://lame.sourceforge.net/) mp3 encoder.
7. [Pillow](https://pypi.python.org/pypi/Pillow) - The Python Imaging Library Fork for server side image processing.
8. The [wave](https://docs.python.org/2/library/wave.html) module for server side sound processing.
9. Imagemagick.

(For an ubuntu installation see [Setup Ruby on Rails on Ubuntu](https://gorails.com/setup/ubuntu/14.04))

### Linux
1.  Clone the git repository. `git clone https://github.com/web-cat/pythy.git`
2.  Go into the newly created pythy directory. `cd pythy`
3.  Install the dependencies. `bundle install` and `npm install`
4.  Create a database configuration file at `config/database.yml`. 
    The adapter must be mysql2 as some of the sql statements will not work
    otherwise. [Sample configuration file](#sample-database-configuration-file).
5.  Create the database. `bundle exec rake db:create`
6.  Load the schema into the database. `bundle exec rake db:schema:load`
7.  Seed the database with the initial values. `bundle exec rake db:seed`
8.  Run the server. `rails server`
9.  If the server is running locally, visit [http://localhost:3000](http://localhost:3000), else, visit the corresponding url.
10. To be able to use the grading feature, you need to have
[sidekiq](https://github.com/mperham/sidekiq) running on the server.
`bundle exec sidekiq`. The sidekiq dashboard can be accessed at /sidekiq. 
11. Start the juggernaut server by running `./node_modules/juggernaut/server.js`

#### Running the tests
The tests are located in the `spec` directory. To run them, first prepare the
test database by running the commands
```
bundle exec rake db:test:prepare
bundle exec rake db:seed RAILS_ENV=test
```

Preparing the test database is a one-time operation.

Now, the tests can be run using the command  
`bundle exec rspec`

Running the tests generates a coverage report 
(using [simplecov](https://github.com/colszowka/simplecov))
that is stored in the `coverage` directory.
Open the `index.html` file in a web browser to view the test coverage.
 
### Sample Database Configuration File

```
	development:
    		adapter: mysql2
    		encoding: utf8
    		database: dev_pythy
    		pool: 5
    		username: <your mysql username>
    		password: <your mysql password>
	test:
    		adapter: mysql2
    		encoding: utf8
    		database: test_pythy
    		pool: 5
    		username: <your mysql username>
    		password: <your mysql password>
```

Objectives and Plans
--------------------

+   Design as a **modern, AJAX-powered Web 2.0 application**.
+   Avoid duplicating the traditional IDE model of a project tree,
    overfull toolbars, and multiple docked views. Instead, take advantage
    of the existing **web browser document and tab model**
    that students are already accustomed to.
+   Store student code in **Git** repositories; adopt an
    aggressive auto-saving policy to collect fine-grained data about
    novices' programming habits and to avoid data loss.
+   Evaluate Javascript-based Python implementations
    (<a href="http://www.skulpt.org">Skulpt</a>,
    <a href="http://pyjs.org">Pyjs</a>,
    <a href="http://pyjaco.org/about">Pyjaco</a>, others?) to
    compile/run/debug code **entirely on the client**,
    eliminating server-round-trip latency&mdash;also to enable
    **highly interactive/graphical assignments** that
    render live in the browser; consider supporting server-side
    Python/Jython as well.
+   Explore integrating an open-source interactive textbook directly
    into the application, such as
    <a href="http://interactivepython.org/courselib/static/thinkcspy/index.html">How to Think Like a Computer Scientist: Interactive Edition (Using Pyth
on 3.x)</a>
    (which already uses Skulpt to run the embedded exercises).

Funding
-------

We would like to acknowledge those who have graciously provided funding for
our initial work on Pythy&mdash;the **SIGCSE Special Projects Grants**
board, which provided undergraduate student wages support for Pythy's
initial development, and the **Virginia Tech Student Engineering Council,**
which provided support for purchasing the server hardware for Pythy's
deployment at Virginia Tech.

pythy

pythy 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

pythy

pythy 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README