Metadata-Version: 2.1
Name: Expression
Version: 0.18.0
Summary: Practical functional programming for Python 3.8+
Home-page: https://github.com/dbrattli/expression
Author: Dag Brattli
Author-email: dag@brattli.net
License: MIT License
Download-URL: https://github.com/dbrattli/expression
Description: # Expression
        
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        > Expressions evaluates to a value. Statements do something.
        
        Expression aims to be a solid library for practical functional
        programming in Python 3.8+. By practical we mean that the goal of the
        library if to enable you to do productive and meaningful functional
        programming in Python instead of being a [Monad
        tutorial](https://github.com/dbrattli/OSlash).
        
        Python is a multi-paradigm programming language that also supports
        functional programming constructs such as functions, higher-order
        functions, lambdas, and in many ways favors composition over inheritance.
        
        > Better Python with F#
        
        Expression tries to make a better Python by providing several functional
        features inspired by [F#](https://fsharp.org) into Python. This serves two purposes:
        
        - Make it easier for Python programmers to learn F# by starting out in a
          programming language they already know. Then get inspired to [try out
          F#](https://aka.ms/fsharphome) by itself.
        - Make it easier for F# developers to use Python when needed, and re-use many
          of the concepts and abstractions that they already know and love.
        
        Expression will enable you to work with Python along with F# using many of
        the same programming concepts and abstractions. This enables concepts
        such as [Railway oriented
        programming](https://fsharpforfunandprofit.com/rop/) (ROP) for better
        and predictable error handling. Pipelining for workflows, computational
        expressions, etc.
        
        F# is a functional programming language for .NET that is succinct
        (concise, readable and type-safe) and kind of
        [Pythonic](https://docs.python.org/3/glossary.html). F# looks a lot more
        like Python than C# and F# can also do a lot of things better than Python:
        
        - Strongly typed, if it compiles it usually works
        - Type inference, the compiler deduces types during compilation
        - Expression based language
        
        ## Getting Started
        
        You can install the latest `expression` from PyPI by running `pip` (or `pip3`).
        Note that `expression` only works for Python 3.8+.
        
        ```sh
        $ pip3 install expression
        ```
        
        ## Why
        
        - I love F#, and know F# quite well. I'm the creator of projects such as
          [Oryx](https://github.com/cognitedata/oryx),
          [Fable.Reaction](https://github.com/dbrattli/Fable.Reaction) and
          [Feliz.ViewEngine](https://github.com/dbrattli/Feliz.ViewEngine)
        - I love Python, and know Python really well. I'm the creator of both
          [RxPY](https://github.com/ReactiveX/RxPY) and
          [OSlash](https://github.com/dbrattli/OSlash), two functional style libraries
          for Python.
        
        For a long time I'm been wanting to make a "bridge" between these two languages
        and got inspired to write this library after watching "[F# as a Better
        Python](https://www.youtube.com/watch?v=_QnbV6CAWXc)" - Phillip Carter - NDC
        Oslo 2020. Doing a transpiler like [Fable](https://fable.io) for Python is one
        option, but a Python library may give a lower barrier and a better introduction
        to existing Python programmers.
        
        Expression is an F# inspired version of my previously written
        [OSlash](https://github.com/dbrattli/OSlash) monad tutorial where I ported a
        number of Haskell abstractions to Python. I never felt that OSlash was really
        practically usable in Python, but F# is much closer to Python than Haskell, so
        it makes more sense to try and make a functional library inspired by F#
        instead.
        
        ## Goals
        
        - The resulting code should look and feel like Python. We want to make a
          better Python, not some obscure DSL or academic Monad tutorial
        - Provide pipelining and pipe friendly methods. Compose all the things!
        - Dot-chaining on objects as an alternative syntax to pipes.
        - Avoid currying, not supported in Python by default and not a well known
          concept by Python programmers.
        - Avoid operator (`|`, `>>`, etc) overloading, this usually confuses more than it helps.
        - Use [type-hints](https://docs.python.org/3/library/typing.html) for all
          functions and methods.
        - Code should pass strict static type checking by tools such as
          [mypy](http://mypy-lang.org/) and
          [pylance](https://devblogs.microsoft.com/python/announcing-pylance-fast-feature-rich-language-support-for-python-in-visual-studio-code/).
          Pylance is awesome, use it!
        
        ## Supported features
        
        Expression will never provide you with all the features of F# and .NET. We are
        providing a few of the features we think are useful, and will add more
        on-demand as we go along.
        
        - **Option** - for optional stuff and better `None` handling.
        - **Result** - for better error handling and enables railway-oriented programming
          in Python.
        - **Sequence** - a better [itertools](https://docs.python.org/3/library/itertools.html) and fully compatible with Python iterables.
        - **FrozenList** - a frozen and immutable list type.
        - **Computational Expressions**: this is actually amazing stuff
          - **option** - an optional world for working with optional values
          - **result** - an error handling world for working with result values
        - **Mailbox Processor**: for lock free programming using the [Actor model](https://en.wikipedia.org/wiki/Actor_model).
        - **Cancellation Token**: for cancellation of asynchronous (and synchronous) workflows.
        - **Disposable**: For resource management.
        
        Pattern matching is provided by [Pampy](https://github.com/santinic/pampy),
        while we wait for [PEP 634](https://www.python.org/dev/peps/pep-0634/) and
        structural pattern matching for Python.
        
        ### Pipelining
        
        Expression provides a `pipe` function similar to `|>` in F#. We don't want to
        overload any Python operators e.g `|` so `pipe` is a plain old function taking
        N-arguments and thus lets you pipe a value though any number of functions.
        
        ```py
        from expression.core import pipe
        
        gn = lambda g: g * y
        fn = lambda x: x + z
        value = pipe(
            x,
            fn,
            gn
        )
        
        assert value == gn(fn(x))
        ```
        
        Expression objects also have a pipe method so you can dot chain pipelines
        directly on the object:
        
        ```py
        from expression.core import pipe
        
        gn = lambda g: g * y
        fn = lambda x: x + z
        value = x.pipe(
            fn,
            gn
        )
        
        assert value == gn(fn(x))
        ```
        
        So for example with sequences you may create sequence transforming
        pipelines:
        
        ```py
        ys = xs.pipe(
            seq.map(lambda x: x * 10),
            seq.filter(lambda x: x > 100),
            seq.fold(lambda s, x: s + x, 0)
        )
        ```
        
        ### Composition
        
        Functions may even be composed directly into custom operators:
        
        ```py
        from expression.core import compose
        
        custom = compose(
            seq.map(lambda x: x * 10),
            seq.filter(lambda x: x > 100),
            seq.fold(lambda s, x: s + x, 0)
        )
        
        ys = custom(xs)
        
        ```
        
        ### Options
        
        The option type is used when an actual value might not exist for a named
        value or variable. An option has an underlying type and can hold a value of
        that type `Some(value)`, or it might not have the value `Nothing`.
        
        ```py
        from expression.core import Some, Nothing, Option
        
        def keep_positive(a: int) -> Option[int]:
            if a > 0:
                return Some(a)
            else:
                return Nothing
        ```
        
        ```py
        from pampy import _
        
        def exists(x : Option[int]) -> bool:
            return x.match(
                Some, lambda some: True,
                _, False
            )
        ```
        
        Options as decorators for computational expressions. Computational expressions
        in Expression are implemented as coroutines ([enhanced
        generators](https://www.python.org/dev/peps/pep-0342/)) using `yield`, `yield from`
        and `return` to consume or generate optional values:
        
        ```py
        from expression.builders import option
        from expression.core import Some
        
        @option
        def fn():
            x = yield 42
            y = yield from Some(43)
        
            return x + y
        
        xs = fn()
        ```
        
        This enables ["railway oriented
        programming"](https://fsharpforfunandprofit.com/rop/) e.g if one part of the
        function yields from `Nothing` then the function is side-tracked
        (short-circuit) and the following statements will never be executed. The end
        result of the expression will be `Nothing`. Thus results from such an option
        decorated function can either be `Ok(value)` or `Error(error_value)`.
        
        ```py
        from expression.core import Some, Nothing
        from expression.builders import option
        
        @option
        def fn():
            x = yield from Nothing # or a function returning Nothing
        
            # -- The rest of the function will never be executed --
            y = yield from Some(43)
        
            return x + y
        
        xs = fn()
        assert xs is Nothing
        ```
        
        For more information about options:
        
        - [Tutorial](https://github.com/dbrattli/Expression/blob/master/notebooks/Options.ipynb)
        - [API reference](https://dbrattli.github.io/Expression/expression/core/option.html)
        
        ### Results
        
        The `Result[T, TError]` type lets you write error-tolerant code that can be
        composed. Result works similar to `Option` but lets you define the value used
        for errors, e.g an exception type or similar. This is great when you want to
        know why some operation failed (not just `Nothing`).
        
        ```py
        from expression.core import Result, Ok, Error, pipe
        from expression.builders import result
        
        @result
        def fn():
            x = yield from Ok(42)
            y = yield from OK(10)
            return x + y
        
        xs = fn()
        assert isinstance(xs, Some)
        ```
        
        ### Sequences
        
        Contains operations for working with iterables. Thus all the functions
        in this module will work on normal Python iterables. Iterables are
        already immutable by design, so they are already perfectly suited for
        using with functional programming.
        
        ```py
        # Normal python way. Nested functions are hard to read since you need to
        # start reading from the end of the expression.
        xs = range(100)
        ys = functools.reduce(lambda s, x: s + x, filter(lambda x: x > 100, map(lambda x: x * 10, xs)), 0)
        
        # With Expression you pipe the result so it flows from one operator to the next:
        ys = seq.of(xs).pipe(
            seq.map(lambda x: x * 10),
            seq.filter(lambda x: x > 100),
            seq.fold(lambda s, x: s + x, 0)
        )
        assert ys == zs
        ```
        
        ## Notable Differences
        
        In F# you modules are capitalized, in Python they are lowercase
        ([PEP-8](https://www.python.org/dev/peps/pep-0008/#package-and-module-names)).
        E.g in F# `Option` is both a module and a type. In Python the module is
        `option` and the type is capitalized i.e `Option`.
        
        Thus in Expression you use `option` as the module to access module functions such as
        `option.map` and the name `Option` for the type itself.
        
        ```py
        >>> from expression.core import Option, option
        >>> Option
        <class 'expression.core.option.Option'>
        >>> option
        <module 'expression.core.option' from '/Users/dbrattli/Developer/Github/Expression/expression/core/option.py'>
        ```
        
        ## Common Gotchas and Pitfalls
        
        A list of common problems and how you may solve it:
        
        ### The Expression List type has the same name as the builtin List type in Python
        
        You can easily import the Expression list module with e.g a different name:
        
        ```py
        from expression.collections import List as FList, list as flist
        ```
        
        ... or you can rename the standard Python list:
        
        ```py
        from builtins import list as pylist
        from typing import List as PyList
        ```
        
        
        ### Expression is missing the function / operator I need
        
        Remember that everything is a function, so you can easily implement the
        function yourself and use it with Expression. If you think the function is
        also usable for others, then please open a PR to include it with Expression.
        
        ## Resources
        
        - F# (http://fsharp.org)
        - Get Started with F# (https://aka.ms/fsharphome)
        - F# as a Better Python - Phillip Carter - NDC Oslo 2020
          (https://www.youtube.com/watch?v=_QnbV6CAWXc)
        - Pampy: Pattern Matching for Python (https://github.com/santinic/pampy)
        - OSlash (https://github.com/dbrattli/OSlash)
        - RxPY (https://github.com/ReactiveX/RxPY)
        - PEP 342 -- Coroutines via Enhanced Generators (https://www.python.org/dev/peps/pep-0342/)
        - PEP 380 -- Syntax for Delegating to a Subgenerator (https://www.python.org/dev/peps/pep-0380)
        - PEP 479 -- Change StopIteration handling inside generators
        
        ## How-to Contribute
        
        You are very welcome to contribute with PRs :heart_eyes: It is nice if you can
        try to align the code with F# modules, functions and documentation. But submit
        a PR even if you should feel unsure.
        
        Code, doc-strings and comments should also follow the [Google Python
        Style Guide](https://google.github.io/styleguide/pyguide.html). Code is
        formatted using [Black](https://github.com/psf/black)
        
        ## License
        
        MIT, see [LICENSE](https://github.com/dbrattli/Expression/blob/master/LICENSE).
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
