phi 0.2.0

# Phi
Python is a very nice language that favor readability, its not very strong at functional programming and this often leads to repetitive code.
Phi is a library for [fluent](https://en.wikipedia.org/wiki/Fluent_interface) functional programming in Python which includes a DSL based On [applicatives](http://learnyouahaskell.com/functors-applicative-functors-and-monoids) + a Builder class that helps you to port/create libraries that integrate with the DSL.

#### Goals

* Comming Soon!

## DSL
Phi uses a DSL that allows you to express complex computations by building On simple functions

### Composing
The most simple thing the DSL does is function composition

from phi import Compile

f = Compile(
lambda x: x + 1,
lambda x: x * 2,
lambda x: x + 3
)

assert 11 == f(3)

The above computation is the same as:

f(x) = (x + 1) * 2 + 3

Using `fn.py`s `P` object included with Phi one can rewrite the previous code as:

from phi import Compile, P

f = Compile(
P + 1,
P * 2,
P + 3
)

assert 11 == f(3)

In general, if express function composition

lambda f, g: lambda x: f(g(x))

as

f . g

then

Compile(f1, f2, ..., fn-1, fn) = fn . fn-1 . (...) . f2 . f1

in other words functions are composed backwards to express the natural flow of the computation.

##### P

You can also *P*ipe a value directly into an expression with the *P* object

from phi import P, P

assert 11 == P.Pipe(
3,
P + 1,
P * 2,
P + 3
)

Most of the time this is more convenient, plus `P` contains some helper methods that we will see later, so `P` will be used instead of `Compile` from here On.

### Branching
Branching is express via lists and allows you to express a branched computation where a list with the values of the different paths is returned.

import phi import P, P

assert [8, 7] == P.Pipe(
3,
P + 1,
[
P * 2
,
P + 3
]
)

the above computation is the same as

f(x) = [(x + 1) * 2, (x + 1) + 3]

Branching has some subtle rules that you should checkout On the DSL's documentation.

## Installation

pip install phi==0.2.0



#### Bleeding Edge

pip install git+https://github.com/cgarciae/phi.git@develop


## Getting Started


## Features
Comming Soon!

## Documentation
[Complete Documentation](http://cgarciae.github.io/phi/index.html)

## The Guide
Check out [The Guide](https://cgarciae.gitbooks.io/phi/content/) to learn to code in Phi. (Comming Soon!)

## Full Example
Comming Soon!