| Name | pyiter JSON |
| Version |
0.13.9
JSON |
| download |
| home_page | None |
| Summary | PyIter is a Python package for iterative operations inspired by the Kotlin、CSharp(linq)、TypeSrcipt and Rust. Enables strong typing and type inference for iterative operations. |
| upload_time | 2025-07-23 04:38:45 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# PyIter
[](https://pypi.org/project/pyiter/)
PyIter is a Python package for iterative operations inspired by the Kotlin、CSharp(linq)、TypeSrcipt and Rust .
Enables strong **typing** and type inference for iterative operations.
- Chain operations like map, reduce, filter, map
- Lazy evaluation
- parallel execution
- strong **typing**
## Install
```bash
pip install pyiter
```
## Quickstart
```python
from pyiter import it
from tqdm import tqdm
text = ["hello", "world"]
it(text).map(str.upper).to_list()
# ['HELLO', 'WORLD']
words = 'I dont want to believe I want to know'.split()
it(words).group_by(lambda x: x).map(lambda g: (g.key, g.values.count())).to_list()
# [('I', 2), ('dont', 1), ('want', 2), ('to', 2), ('believe', 1), ('know', 1)]
# use tqdm
it(range(10)).map(lambda x: str(x)).progress(lambda x: tqdm(x, total=x.len)).parallel_map(lambda x: x, max_workers=5).to_list()
```
**Type inference**
## API
See [API](https://pyiter.yish.org/pyiter/sequence.html) documention.
- You no need to read API documention. all functions are listed by the code completion as follows.
- All documentions are showed as follows.
## Similar libraries
Note that none of the following libraries are providing full strong typing for code completion.
- [Pyterator](https://github.com/remykarem/pyterator)
- [PyFunctional](https://github.com/EntilZha/PyFunctional)
- [fluent](https://github.com/dwt/fluent)
- [Simple Smart Pipe](https://github.com/sspipe/sspipe)
- [pyxtension](https://github.com/asuiu/pyxtension)
## License
Licensed under either of
- Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or <https://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or <https://opensource.org/licenses/MIT>)
at your option.
### Contribution
Unless you explicitly state otherwise, any contribution intentionally
submitted for inclusion in the work by you, as defined in the Apache-2.0
license, shall be dual licensed as above, without any additional terms or
conditions.
Raw data
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"description": "# PyIter\n\n[](https://pypi.org/project/pyiter/)\n\nPyIter is a Python package for iterative operations inspired by the Kotlin\u3001CSharp(linq)\u3001TypeSrcipt and Rust .\nEnables strong **typing** and type inference for iterative operations.\n\n- Chain operations like map, reduce, filter, map\n- Lazy evaluation\n- parallel execution\n- strong **typing**\n\n## Install\n\n```bash\npip install pyiter\n```\n\n## Quickstart\n\n```python\nfrom pyiter import it\nfrom tqdm import tqdm\n\n\ntext = [\"hello\", \"world\"]\nit(text).map(str.upper).to_list()\n# ['HELLO', 'WORLD']\n\n\nwords = 'I dont want to believe I want to know'.split()\nit(words).group_by(lambda x: x).map(lambda g: (g.key, g.values.count())).to_list()\n# [('I', 2), ('dont', 1), ('want', 2), ('to', 2), ('believe', 1), ('know', 1)]\n\n\n# use tqdm\nit(range(10)).map(lambda x: str(x)).progress(lambda x: tqdm(x, total=x.len)).parallel_map(lambda x: x, max_workers=5).to_list()\n\n```\n\n\n**Type inference**\n\n\n## API\n\nSee [API](https://pyiter.yish.org/pyiter/sequence.html) documention.\n\n- You no need to read API documention. all functions are listed by the code completion as follows.\n \n \n\n- All documentions are showed as follows.\n\n \n\n## Similar libraries\n\nNote that none of the following libraries are providing full strong typing for code completion.\n\n- [Pyterator](https://github.com/remykarem/pyterator)\n- [PyFunctional](https://github.com/EntilZha/PyFunctional)\n- [fluent](https://github.com/dwt/fluent)\n- [Simple Smart Pipe](https://github.com/sspipe/sspipe)\n- [pyxtension](https://github.com/asuiu/pyxtension)\n\n\n## License\n\nLicensed under either of\n\n- Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or <https://www.apache.org/licenses/LICENSE-2.0>)\n- MIT license ([LICENSE-MIT](LICENSE-MIT) or <https://opensource.org/licenses/MIT>)\n\nat your option.\n\n\n### Contribution\n\nUnless you explicitly state otherwise, any contribution intentionally\nsubmitted for inclusion in the work by you, as defined in the Apache-2.0\nlicense, shall be dual licensed as above, without any additional terms or\nconditions.\n",
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