Rxls

RXLS 0.2.5 Patch Release.

Small code quality improvements (using Ruff)
Improve pyproject.toml: add urls to the project page, repository and issues.
Improve pyproject.toml: organize optional dependencies, remove redundand dependencies.

All available documentation is in [ReadMe](https://github.com/SaelKimberly/rxls/blob/main/README.md).

Also, check [Benchmark](https://github.com/SaelKimberly/rxls/blob/main/benchmarks.ipynb) - there is some advanced info about all popular engines.

I hope, this tool make your experience on parsing MS Excel files better :)

RXLS 0.2.4 Patch Release.

* Small code quality improvements (using Ruff)
* Improve pyproject.toml: add urls to the project page, repository and issues.
* Improve pyproject.toml: organize optional dependencies, remove redundand dependencies.

All available documentation is in [ReadMe](https://github.com/SaelKimberly/rxls/blob/main/README.md).

Also, check [Benchmark](https://github.com/SaelKimberly/rxls/blob/main/benchmarks.ipynb) - there is some advanced info about all popular engines.

I hope, this tool make your experience on parsing MS Excel files better :)

This is a first public release of this engine (on PyPi). All available documentation is in [ReadMe](https://github.com/SaelKimberly/rxls/blob/main/README.md).

Also, check [Benchmark](https://github.com/SaelKimberly/rxls/blob/main/benchmarks.ipynb) - there is some advanced info about all popular engines.

I hope, this tool make your experience on parsing MS Excel files better :)

This is a first public release of this engine. All available documentation is in [ReadMe](https://github.com/SaelKimberly/rxls/blob/main/README.md).

Also, check [Benchmark](https://github.com/SaelKimberly/rxls/blob/main/benchmarks.ipynb) - there is some advanced info about all popular engines.

I hope, this tool make your experience on parsing MS Excel files better :)