semvec/pypi-packages huggingface dataset:
dtcc 0.9.5
DTCC
Requires Python: >=3.10

# DTCC

DTCC is a meta package for DTCC Platform. It imports all other DTCC
packages and provides a common interface to DTCC Platform. The DTCC
package also hosts demos and common documentation.

This project is part of the
[Digital Twin Platform (DTCC Platform)](https://github.com/dtcc-platform/)
developed at the
[Digital Twin Cities Centre](https://dtcc.chalmers.se/)
supported by Sweden’s Innovation Agency Vinnova under Grant No. 2019-421 00041.

## Documentation

This project is documented as part of the
[DTCC Platform Documentation](https://platform.dtcc.chalmers.se/).

## Authors (in order of appearance)

* [Anders Logg](http://anders.logg.org)
* [Vasilis Naserentin](https://www.chalmers.se/en/Staff/Pages/vasnas.aspx)
* [Dag Wästerberg](https://chalmersindustriteknik.se/sv/medarbetare/dag-wastberg/)

## License

This project is licensed under the
[MIT license](https://opensource.org/licenses/MIT).

Copyrights are held by the individual authors as listed at the top of
each source file.

## Community guidelines

Comments, contributions, and questions are welcome. Please engage with
us through Issues, Pull Requests, and Discussions on our GitHub page.
uvx-excel-read-dbmod 0.2.1
用数据库的方式提供读取、分析 Excel 文件的 MCP 服务
Requires Python: >=3.12

### 项目
- python 3.12.12
- fastmcp 2.14.2
- pandas、polars
- 单元测试用 unittest 
- 测试用例在 tests 文件夹下
- 目的是为了解决，读取Excel 会返回整个表信息，导致token 爆炸的问题，而用数据库的形式，可以让LLM 逐步进行数据分析，避免token 爆炸的问题。

### 技术方案
- 是用 uv 管理和打包，.venv 为虚拟环境目录
- 用DB 的方式提供读取、分析 Excel
- Sheet = Dbname
- 表头就是字段
- 行号 = id
- 提供 pandas 和 polars 两种数据处理方式

### 文件夹
- src
  - tools 每个工具单独一个文件夹 


### tools
- get_sheet_list 获取所有sheet 列表、名称
- select_count_sheet_rows 获取 sheet 的行数
- select_sheet_rows_by_id 获取 sheet 的某一行数据
- select_sheet_rows_by_title_where 根据多个表头的条件(可以完全匹配、模糊匹配、正则匹配、大于小于、区间、包含、不包含) 获取 sheet 的某行数据
- group_by_sheet_title_get_count_and_values 对某个表头进行分组，统计内容、行数
- search_row_in_sheet_by_keyword 在某个sheet 中搜索某个关键字
- query_by_sql 使用 SQL 语句查询 sheet 数据，支持完整的 SQL 语法（SELECT、WHERE、GROUP BY、ORDER BY、HAVING、LIMIT 等），使用 polars SQLContext 实现
samplemaker-sparrow 5.4.6
Lithographic mask design package
Requires Python: <3.14,>=3.10

# README

Welcome to the SampleMaker git repository. 

This software has been realized with the financial support from 
the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 949043, NANOMEQ).


### What is this repository for?

* SampleMaker lithographic mask design tool in Python.

### How do I get set up?

The package can be installed on most platforms via pip:

```bash
pip install samplemaker-sparrow
```

For local development build instructions, please refer to [BUILD.md](https://github.com/SparrowQuantum/samplemaker/blob/master/BUILD.md).