semvec/pypi-packages huggingface dataset:
serpyco 1.3.13
Fast serialization of dataclasses using Cython
License: MIT
Requires Python: >=3.6

============================================
Serpyco: a serializer for python dataclasses
============================================

What is Serpyco ?
-----------------

Serpyco is a serialization library for `Python 3.6+ dataclasses <https://docs.python.org/3/library/dataclasses.html>`_ that works just by defining your dataclasses:

.. code-block:: python

    import dataclasses
    import typing

    import serpyco

    @dataclasses.dataclass
    class Example(object):
        name: str
        num: int
        tags: typing.List[str]


    serializer = serpyco.Serializer(Example)

    result = serializer.dump(Example(name="foo", num=2, tags=["hello", "world"]))
    print(result)

    {'name': 'foo', 'num': 2, 'tags': ['hello', 'world']}

Serpyco works by analysing the dataclass fields and can recognize many types : `List`, `Set`, `Tuple`, `Optional`, `Union`... You can also embed other dataclasses in a definition.

The main use-case for Serpyco is to serialize objects for an API, but it can be helpful whenever you need to transform objects to/from builtin Python types.

Serpyco is tested for Python versions 3.8 to 3.12.

Features
--------

- Serialization and unserialization of dataclasses
- Validation of input/output data
- Very fast
- Extensible through custom encoders

Installing
----------

Serpyco is best installed via pip:

.. code-block:: shell

    pip install serpyco

It has only 3 (4 with python 3.6 dataclasses backport) dependencies:

- rapid-json: used for data validation and fast JSON dump/load
- python-dateutil: used for serializing datetime objects
- typing_inspect: used to inspect types as needed to create serializers

Documentation
-------------

- `Documentation <https://sgrignard.gitlab.io/serpyco/docs>`_
- `API Reference <https://sgrignard.gitlab.io/serpyco/docs/api.html>`_

Contributing
------------

Serpyco is written using `Python <https://www.python.org>`_ and `Cython <https://www.cython.org>`_ for parts needing speed.

- `Issue tracker <https://gitlab.com/sgrignard/serpyco/issues>`_
- `Source code <https://gitlab.com/sgrignard/serpyco>`_
mootdx 0.11.7
通达信数据读取接口.
License: MIT
Requires Python: <4.0,>=3.8

通达信数据读取接口
==================

[![image](https://badge.fury.io/py/mootdx.svg)](http://badge.fury.io/py/mootdx)
[![image](https://img.shields.io/travis/bopo/mootdx.svg)](https://travis-ci.org/mootdx/mootdx)
[![Documentation Status](https://readthedocs.org/projects/mootdx/badge/?version=latest)](https://mootdx.readthedocs.io/zh/latest/?badge=latest)
[![Updates](https://pyup.io/repos/github/mootdx/mootdx/shield.svg)](https://pyup.io/repos/github/mootdx/mootdx/)

如果喜欢本项目可以在右上角给颗⭐！你的支持是我最大的动力😎！

**郑重声明: 本项目只作学习交流, 不得用于任何商业目的.**

-   开源协议: MIT license
-   在线文档: <https://www.mootdx.com>
-   国内镜像: <https://gitee.com/ibopo/mootdx>
-   项目仓库: <https://github.com/mootdx/mootdx>
-   问题交流: <https://github.com/mootdx/mootdx/issues>

版本更新(倒序)
--------------

版本更新日志: <https://mootdx.readthedocs.io/zh_CN/latest/history/>

运行环境
--------

-   操作系统: Windows / MacOS / Linux 都可以运行.
-   Python: 3.8 以及以上版本.

安装方法
--------

> 新手建议使用 `pip install -U 'mootdx[all]'` 安装

### PIP 安装方法
```shell

# 包含核心依赖安装
pip install 'mootdx'

# 包含命令行依赖安装, 如果使用命令行工具可以使用这种方式安装
pip install 'mootdx[cli]'

# 包含所有扩展依赖安装, 如果不清楚各种依赖关系就用这个命令
pip install 'mootdx[all]'
```

### 升级安装

```shell
pip install -U tdxpy mootdx
```

> 如果不清楚各种依赖关系就用这个命令 `pip install -U 'mootdx[all]'`

使用说明
--------

> 以下只列举一些例子, 详细说明请查看在线文档: <https://www.mootdx.com>

通达信离线数据读取

```python
from mootdx.reader import Reader

# market 参数 std 为标准市场(就是股票), ext 为扩展市场(期货，黄金等)
# tdxdir 是通达信的数据目录, 根据自己的情况修改

reader = Reader.factory(market='std', tdxdir='C:/new_tdx')

# 读取日线数据
reader.daily(symbol='600036')

# 读取分钟数据
reader.minute(symbol='600036')

# 读取时间线数据
reader.fzline(symbol='600036')
```

通达信线上行情读取

```python
from mootdx.quotes import Quotes

# 标准市场
client = Quotes.factory(market='std', multithread=True, heartbeat=True)

# k 线数据
client.bars(symbol='600036', frequency=9, offset=10)

# 指数
client.index(symbol='000001', frequency=9)

# 分钟
client.minute(symbol='000001')
```

通达信财务数据读取

```python
from mootdx.affair import Affair

# 远程文件列表
files = Affair.files()

# 下载单个
Affair.fetch(downdir='tmp', filename='gpcw19960630.zip')

# 下载全部
Affair.parse(downdir='tmp')
```

加微信交流
----------

![](docs/img/IMG_2851.JPG)

常见问题
--------

M1 mac 系统PyMiniRacer不能使用，访问:
<https://github.com/sqreen/PyMiniRacer/issues/143>


## Stargazers over time

[![Stargazers over time](https://starchart.cc/mootdx/mootdx.svg)](https://starchart.cc/mootdx/mootdx)