semvec/pypi-packages huggingface dataset:
pipzh 20260107
A simple wrapper for pip to use Tsinghua mirror automatically.
Requires Python: >=3.8

## pip wrapper using Chinese mirror

pipzh ==  pip -i CHINESE_MIRROR



### install

```
pip install pipzh
```

### usage

```
pipzh install xxx
pipzh install xxx -s aliyun
```

**Notice**

pipzh == pips == pipcn, they are all the same

So Easy.

Enjoy Yourself.
els-engine 0.26.1
A lightweight Python toolkit for Equidistant Letter Sequence (ELS) search.
Requires Python: >=3.8
Keywords: ELS, equidistant letter sequence, bible code, hebrew, text analysis

# els-engine

A lightweight, focused Python toolkit for performing **Equidistant Letter Sequence (ELS)** searches on Hebrew text.

Version: **0.26.1**

This package provides a clean, minimal API for scanning text at fixed skip intervals and returning structured ELS results.

---

## 📦 Installation

```bash
pip install els-engine


"""from els_engine import find_els

text = "בראשיתבראאלהיםאתהשמיםואתהארץ"
target = "אלהים"

results = find_els(text, target, skip=5)

for r in results:
    print(r)"""
filter-stations 0.7.1
Making it easier to navigate and clean TAHMO weather station data and creating a way to access our unified weather dataset to reduce data fragmentation and global data divide in Africa.

## Documentation
You can find the documentation for the project by following this link<br>
https://filter-stations.readthedocs.io/en/latest/

Getting Started
---------------
All methods require an API key and secret, which can be obtained by contacting TAHMO. <br>
- The ```RetrieveData``` class is used to retrieve data from the TAHMO API endpoints.<br> 
- The ```RainLoader``` class is used to get our DSAIL unified weather dataset from HuggingFace (See the documentation for more information on this) <br>
- The ```Kieni``` class is used to get weather data for stations 100km around Kieni from the central point.with water level data.<br>
<!-- - The ```Interactive_maps``` class is used to plot weather stations on an interactive map.<br>
- The ```Water_level``` class is used to retrieve water level data and coordinates of gauging stations.<br> -->

<!-- For instructions on shedding weather stations based on your water level data and gauging station coordinates, please refer to the [water_level_pipeline.md](https://github.com/kaburia/filter-stations/blob/main/water_level_pipeline.md) file. -->
<br>

To get started on the module test it out on Google Colab

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1KUUtvozBTePyezc1i5hhDuFFSWLzEcXH?usp=sharing)


For earlier versions (<= v0.6.2) use the link below for documentation <br>

https://filter-stations.netlify.app/

## Citations

If you use this package in your research, please cite it using the following BibTeX entry:

```bibtex
@misc{filter-stations,
  author = {Austin Kaburia},
  title = {filter-stations},
  year = {2024},
  publisher = {Python Package Index},
  journal = {PyPI},
  howpublished = {\url{https://pypi.org/project/filter-stations/}},
}