Metadata-Version: 2.1
Name: iterpy
Version: 1.8.1
Summary: iterpy
Author-email: Martin Bernstorff <martinbernstorff@gmail.com>
License: MIT License
        
        Copyright (c) Martin Bernstorff
        
        For some subsections, closely inspired by Flupy and hence probably Copyright (c) Oliver Rice.
        
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Project-URL: homepage, https://github.com/MartinBernstorff/iterpy
Project-URL: repository, https://github.com/MartinBernstorff/iterpy
Project-URL: documentation, https://MartinBernstorff.github.io/iterpy/
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: cruft==2.15.0; extra == "dev"
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Requires-Dist: pyright==1.1.352; extra == "dev"
Requires-Dist: pytest==8.1.0; extra == "dev"
Requires-Dist: pytest-cov==4.1.0; extra == "dev"
Requires-Dist: pytest-xdist==3.5.0; extra == "dev"
Requires-Dist: pytest-sugar==1.0.0; extra == "dev"
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Requires-Dist: diff-cover==8.0.3; extra == "dev"
Requires-Dist: ruff==0.3.0; extra == "dev"

# iterpy
[![Open in Dev Container](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)][dev container]
[![PyPI](https://img.shields.io/pypi/v/iterpy.svg)][pypi status]
[![Python Version](https://img.shields.io/pypi/pyversions/iterpy)][pypi status]
[![Roadmap](https://img.shields.io/badge/Projects-Roadmap-green)][roadmap]

[pypi status]: https://pypi.org/project/iterpy/
[dev container]: https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/MartinBernstorff/iterpy/
[roadmap]: https://github.com/users/MartinBernstorff/projects/3/views/1?groupedBy%5BcolumnId%5D=70727793&sliceBy%5BcolumnId%5D=Status&filterQuery=-status%3ADone


<!-- start short-description -->
Python has implemented `map`, `filter` etc. as functions, rather than methods on a sequence. This makes the result harder to read and iterators less used than they could be. iterpy exists to change that. 

You get this 🔥:

```python
from iterpy import Iter

result = Iter([1,2,3]).map(multiply_by_2).filter(is_even)
```

Instead of this:

```python
sequence = [1,2,3]
multiplied = [multiply_by_2(x) for x in sequence]
result = [x for x in multiplied if is_even(x)]
```

Or this:

```python
result = filter(is_even, map(multiply_by_2, [1,2,3]))
```
<!-- end short-description -->

## Install
```bash
pip install iterpy
```

## Usage
```python
from iterpy import Iter

result = (Iter([1, 2])
            .filter(lambda x: x % 2 == 0)
            .map(lambda x: x * 2)
            .to_list()
)
assert result == [4]
```

## Prior art
iterpy stands on the shoulders of Scala, Rust etc. 

Other Python projects have had similar ideas:
* [PyFunctional](https://github.com/EntilZha/PyFunctional) has existed for 7+ years with a comprehensive feature set. It is performant, with built-in lineage and caching. Unfortunately, this makes typing [non-trivial, with a 4+ year ongoing effort to add types](https://github.com/EntilZha/PyFunctional/issues/118).
* [flupy](https://github.com/olirice/flupy) is highly similar, well typed, and mature. I had some issues with `.flatten()` not being type-hinted correctly, but but your mileage may vary.
* Your library here? Feel free to make an issue if you have a good alternative!

## Contributing
### Conventions
#### Philosophy
* Make it work: Concise syntax borrowed from Scala, Rust etc.
* Make it right: Fully typed, no exceptions
* Make it fast: 
    * Concurrency through `.pmap`
    * (Future): Caching
    * (Future): Refactor operations to use generators
* Keep it simple: No dependencies

#### API design
As a heuristic, we follow the APIs of:
* Rust's [std::iter](https://doc.rust-lang.org/stable/std/iter/)
* Rust's [itertools](https://docs.rs/itertools/latest/itertools/index.html)

In cases where this conflicts with typical python implementations, the API should be as predictable as possible for Python users.

#### Devcontainer
1. Install [Orbstack](https://orbstack.dev/) or Docker Desktop. Make sure to complete the full install process before continuing.
2. If not installed, install VSCode
3. Press this [link](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/MartinBernstorff/iterpy/)
4. Complete the setup process
5. Done! Easy as that.

## 💬 Where to ask questions

| Type                           |                        |
| ------------------------------ | ---------------------- |
| 🚨 **Bug Reports**              | [GitHub Issue Tracker] |
| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] |
| 👩‍💻 **Usage Questions**          | [GitHub Discussions]   |
| 🗯 **General Discussion**       | [GitHub Discussions]   |

[github issue tracker]: https://github.com/MartinBernstorff/iterpy/issues
[github discussions]: https://github.com/MartinBernstorff/iterpy/discussions


