semvec/pypi-packages huggingface dataset:
quant-learning 2022.3.20.0
QuantLearning
Requires Python: >=3.6

# QuantLearning

> Python 量化交易教程整理
> 
> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
>
> 收割 SB 的人会被 SB 们封神，试图唤醒 SB 的人是 SB 眼中的 SB。——SB 第三定律

* [在线阅读](https://qlearn.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/quant-learning/)
* [ApacheCN 财务提升交流群 915394271](https://jq.qq.com/?_wv=1027&k=3b2GY1jt)
* [ApacheCN 学习资源](http://www.apachecn.org/)

## DOCX：开放共享科研记录行动倡议

我们积极响应[科研开源计划（DOCX）](https://mmcheng.net/docx/)。如今开源不仅仅是开放源码，还包括数据集、模型、教程和实验记录。我们也在探讨其它类别的开源方案和协议。

希望大家了解这个倡议，把这个倡议与自己的兴趣点结合，做点力所能及的事情。每个人的微小的贡献，汇聚在一起就是整个开源生态。

## 联系方式

### 负责人

* （虚位以待）

### 贡献者

+   [mushroomqiu](https://www.v2ex.com/member/mushroomqiu)
+   [飞龙](https://github.com/wizardforcel)

### 其他

*   在我们的 [apachecn/quant-learning](https://github.com/apachecn/quant-learning) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](http://www.apachecn.org/organization/348.html) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/quant-learning
docker run -tid -p <port>:80 apachecn0/quant-learning
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install quant-learning
quant-learning <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g quant-learning
quant-learning <port>
# 访问 http://localhost:{port} 查看文档
```

## 其它协议

霞鹜文楷采用 [SIL 开放字体协议 1.1](https://github.com/lxgw/LxgwWenKai/blob/main/SIL_Open_Font_License_1.1.txt)。

## 赞助我们

![Donate](http://data.apachecn.org/img/about/donate.jpg)
dataframeXconverter 0.0.2
This package converts dataframe to csv,Html,Xml

# Dataframe to CSV,HTML and XML converter

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 


## Description

This is a package that converts your dataframe to csv,xml and html.This package has three funtions to

- Convert dataframe to csv
- Convert dataframe to xml
- Convert dataframe to html

## Usage

- Run Following command to install.
 ```
  pip install dataframeXconverter
  ```
## Example of How to use.

Make sure the dataframe you are passing is not an empty one.
 ```
import dataframeXconverter

# to convert dataframe to csv
df_to_csv(dataframe, "filename.csv")

# to convert dataframe to xml
df_to_csv(dataframe, "filename.xml")

# to convert dataframe to html
df_to_csv(dataframe, "filename.html")

  ```

## Error and Exception Handling

I have included some error and exception handling in the code,if you want then you can log them. Im just throwing(raise) it ,you have to catch it in your script.
 ```
 # in csv function

     if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_csv() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.csv'):
        raise NameError('Please Provide Valid CSV File Name')

 # in xml funtion

    if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_xml() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.xml'):
        raise NameError('Please Provide Valid XML File Name')

 # in html function

    if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_html() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.html'):
        raise NameError('Please Provide Valid HTML File Name')

 ```
dsai-wiki 2022.3.20.0
ApacheCN 数据科学和人工智能知识库
Requires Python: >=3.6

# ApacheCN 数据科学和人工智能知识库

> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 今天，你将开始新的生活。今天，你将爬出满是失败创伤的老茧。今天，你将重新来到这个世上，出生在葡萄园中，园中的葡萄任人享用。今天，你要从最高最密的藤上摘下智慧的果实，这葡萄藤是好几代前人的智者种下的。今天，你要品尝葡萄的美味，还要吞下每一粒成功的种子，让新生命在你心里萌芽。
> 
> 数据科学家的道路，充满机遇，也有辛酸与绝望。失败的铜板数不胜数，叠在一起比金字塔还高。然而，你不会向他们一样失败，因为你手中持有航海图，可以迎你越过汹涌的大海，抵达梦中的彼岸。失败不再是你奋斗的代价，它和痛苦都将从你的生命中消失，失败和你就像水火一样互不相融。你不再向过去一样接受它们，你要在智慧的引导下，走出阴影，步入富足、健康、快乐的乐园。


* [在线阅读](https://dsai-wiki.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/dsai-wiki/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)

## 贡献指南

本项目积极响应[科研开源计划（DOCX）](https://mmcheng.net/docx/)。欢迎大家将论文笔记和翻译投稿给我们。

希望大家了解这个倡议，把这个倡议与自己的兴趣点结合，做点力所能及的事情。每个人的微小的贡献，汇聚在一起就是整个开源生态。

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/dsai-wiki](https://github.com/apachecn/dsai-wiki) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](http://www.apachecn.org/organization/348.html) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/dsai-wiki
docker run -tid -p <port>:80 apachecn0/dsai-wiki
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install dsai-wiki
dsai-wiki <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g dsai-wiki
dsai-wiki <port>
# 访问 http://localhost:{port} 查看文档
```

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
ds-ipynb-zh 2022.3.20.0
数据科学 IPython 笔记本
Requires Python: >=3.6

# 数据科学 IPython 笔记本

> 原文：[donnemartin/data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)
> 
> 译者：[飞龙](https://github.com/wizardforcel)
> 
> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 我们在人生的每个阶段，能影响多少人，就影响多少人，哪怕只能影响一个人，也好过不影响。——罗永浩

+   [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)
+   [ApacheCN 学习资源](http://www.apachecn.org/)

<!-- break -->

+ [在线阅读](https://ds-ipynb.apachecn.org)
+ [在线阅读（Gitee）](https://apachecn.gitee.io/ds-ipynb-zh/)
+ [PDF格式](https://www.gitbook.com/download/pdf/book/wizardforcel/ds-ipynb)
+ [EPUB格式](https://www.gitbook.com/download/epub/book/wizardforcel/ds-ipynb)
+ [MOBI格式](https://www.gitbook.com/download/mobi/book/wizardforcel/ds-ipynb)
+ [代码仓库](https://github.com/apachecn/ds-ipynb-zh)

## 下载

### Docker

```
docker pull apachecn0/ds-ipynb-zh
docker run -tid -p <port>:80 apachecn0/ds-ipynb-zh
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ds-ipynb-zh
ds-ipynb-zh <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ds-ipynb-zh
ds-ipynb-zh <port>
# 访问 http://localhost:{port} 查看文档
```

## 赞助我

![](http://ww1.sinaimg.cn/large/841aea59ly1fx0qnvulnjj2074074747.jpg)
ds-ai-tech-notes 2022.3.20.0
数据科学和人工智能技术笔记
Requires Python: >=3.6

# 数据科学和人工智能技术笔记

> 作者：[Chris Albon](https://chrisalbon.com/)
> 
> 译者：[飞龙](https://github.com/wizardforcel)
> 
> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 两种方法可以编写无错误的程序；只有第三种方法有效——艾伦·J·佩利

+   [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)
+   [ApacheCN 学习资源](http://www.apachecn.org/)

<!-- break -->

+ [在线阅读](https://dsai-notes.apachecn.org)
+ [在线阅读（Gitee）](https://apachecn.gitee.io/ds-ai-tech-notes/)
+ [PDF格式](https://www.gitbook.com/download/pdf/book/wizardforcel/ds-ai-tech-notes)
+ [EPUB格式](https://www.gitbook.com/download/epub/book/wizardforcel/ds-ai-tech-notes)
+ [MOBI格式](https://www.gitbook.com/download/mobi/book/wizardforcel/ds-ai-tech-notes)
+ [代码仓库](https://github.com/apachecn/ds-ai-tech-notes)

## 下载

### Docker

```
docker pull apachecn0/ds-ai-tech-notes
docker run -tid -p <port>:80 apachecn0/ds-ai-tech-notes
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ds-ai-tech-notes
ds-ai-tech-notes <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ds-ai-tech-notes
ds-ai-tech-notes <port>
# 访问 http://localhost:{port} 查看文档
```

## 赞助我

![](http://ww1.sinaimg.cn/large/841aea59ly1fx0qnvulnjj2074074747.jpg)
dataframe-X-converter 0.2
This package converts dataframe to csv,Html,Xml

# Dataframe to CSV,HTML and XML converter

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 


## Description

This is a package that converts your dataframe to csv,xml and html.This package has three funtions to

- Convert dataframe to csv
- Convert dataframe to xml
- Convert dataframe to html

## Usage

- Run Following command to install.
 ```
  pip install dataframe_x_converter
  ```
## Example of How to use.

Make sure the dataframe you are passing is not an empty one.
 ```
import dataframe_x_converter

# to convert dataframe to csv
df_to_csv(dataframe, "filename.csv")

# to convert dataframe to xml
df_to_csv(dataframe, "filename.xml")

# to convert dataframe to html
df_to_csv(dataframe, "filename.html")

  ```

## Error and Exception Handling

I have included some error and exception handling in the code,if you want then you can log them. Im just throwing(raise) it ,you have to catch it in your script.
 ```
 # in csv function
  
     if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_csv() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.csv'):
        raise NameError('Please Provide Valid CSV File Name')
 
 # in xml funtion
    
    if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_xml() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.xml'):
        raise NameError('Please Provide Valid XML File Name')
 
 # in html function
    
    if not isinstance(dataframe, pd.DataFrame):
        raise AttributeError('dataframe arg in df_to_html() is not a dataframe')
    if not isinstance(filename, str) or not filename.endswith('.html'):
        raise NameError('Please Provide Valid HTML File Name')
  
 ```