Metadata-Version: 2.1
Name: aiochan
Version: 0.2.1
Summary: CSP-style concurrency for Python
Home-page: https://github.com/zh217/aiochan
Author: Ziyang Hu
Author-email: hu.ziyang@cantab.net
License: Apache
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.5.3
Description-Content-Type: text/markdown

# aiochan 

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![logo](logo.gif "aiochan logo")

Aiochan is a library written to bring the wonderful idiom of 
[CSP-style](https://en.wikipedia.org/wiki/Communicating_sequential_processes) concurrency to python. The implementation 
is based on the battle-tested Clojure library [core.async](https://github.com/clojure/core.async), while the API is 
carefully crafted to feel as pythonic as possible.

## Why?

* Doing concurrency in Python was painful
* asyncio sometimes feels too low-level
* I am constantly missing capabilities from [golang](https://golang.org) and 
  [core.async](https://github.com/clojure/core.async)
* It is much easier to port [core.async](https://github.com/clojure/core.async) to Python than to port all those
  [wonderful](http://www.numpy.org/) [python](https://pytorch.org/) [packages](https://scrapy.org/) to some other 
  language.

## What am I getting?

* Pythonic [API](https://aiochan.readthedocs.io/en/latest/api.html) that includes everything you'd need for CSP-style
  concurrency programming
* Works seamlessly with existing asyncio-based libraries
* Fully [tested](aiochan/test)
* Fully [documented](https://aiochan.readthedocs.io/en/latest/index.html)
* Guaranteed to work with Python 3.5.2 or above and PyPy 3.5 or above
* Depends only on python's core libraries, zero external dependencies
* Proven, efficient implementation based on Clojure's battle-tested [core.async](https://github.com/clojure/core.async)
* Familiar semantics for users of [golang](https://golang.org)'s channels and Clojure's core.async channels
* Flexible implementation that does not depend on the inner workings of asyncio at all
* Permissively [licensed](LICENSE)
* A [beginner-friendly tutorial](https://aiochan.readthedocs.io/en/latest/tutorial.html) to get newcomers onboard as 
quickly as possible

## How to install?

```bash
pip3 install aiochan
```

## How to use?

Read the [beginner-friendly tutorial](https://aiochan.readthedocs.io/en/latest/tutorial.html) that starts from the 
basics. Or if you are already experienced with [golang](https://golang.org) or Clojure's 
[core.async](https://github.com/clojure/core.async), start with the 
[quick introduction](https://aiochan.readthedocs.io/en/latest/quick.html) and then dive into the 
[API documentation](https://aiochan.readthedocs.io/en/latest/api.html).

## I want to try it first

The [quick introduction](https://aiochan.readthedocs.io/en/latest/quick.html) and the 
[beginner-friendly tutorial](https://aiochan.readthedocs.io/en/latest/tutorial.html) can both be run in jupyter 
notebooks, online in binders if you want (just look for ![the binder link](https://mybinder.org/static/images/badge.svg) 
at the top of each tutorial).

## Examples

In addition to the [introduction](https://aiochan.readthedocs.io/en/latest/quick.html) and the 
[tutorial](https://aiochan.readthedocs.io/en/latest/tutorial.html), we have the 
[complete set of examples](examples/concurrency_patterns) from Rob Pike's 
[Go concurrency patterns](https://www.youtube.com/watch?v=f6kdp27TYZs) translated into aiochan. Also, here is a 
[solution](examples/dining_philosophers.py) to the classical 
[dining philosophers problem](https://en.wikipedia.org/wiki/Dining_philosophers_problem).

## I still don't know how to use it

We are just starting out, but we will try to answer aiochan-related questions on 
[stackoverflow](https://stackoverflow.com/questions/ask?tags=python+python-aiochan) as quickly as possible.

## I found a bug

File an [issue](https://github.com/zh217/aiochan/issues/new), or if you think you can solve it, a pull request is even 
better.

## What's up with the logo?

It is our 'hello world' example:

```python
import aiochan as ac

async def blue_python(c):
    while True:
        # do some hard work
        product = "a product made by the blue python"
        await c.put(product)

async def yellow_python(c):
    while True:
        result = await c.get()
        # use result to do amazing things
        print("A yellow python has received", result)

async def main():
    c = ac.Chan()

    for _ in range(3):
        ac.go(blue_python(c))

    for _ in range(3):
        ac.go(yellow_python(c))
```

in other words, it is a 3-fan-in on top of a 3-fan-out. If you run it, you will have an endless stream of 
`A yellow python has received a product made by the blue python`.

If you have no idea what this is, read the [tutorial](https://aiochan.readthedocs.io/en/latest/tutorial.html).

