semvec/pypi-packages huggingface dataset:
INDICovid19 0.0.3
Python Lib for api call on Indian Covid 19 dataset near real time

# API call for the Indian Covid-19 cases real time using python lib for data scientist, ml engineer,data enthusiast and  researchers 

This is a python package having multiple utilities. 
[Github-flavored Markdown](https://github.com/deepstartup/INDICovid19/)

1.INDICovid19.TotalCaseCount:Official data Case counts Total  
2.INDICovid19.TotalStateCount: Official data Case counts Total Statewise
3.INDICovid19.TotalStateCountHist: Official data Case counts Total Statewise History Timeseries
4.INDICovid19.TotalTestCount: Official data Testing stats
5.INDICovid19.TotalTestCountHist: Official data Testing stats History Timeseries
6.INDICovid19.TotalHospitalCount: Official data  Hospitals & bed stats Overall
7.INDICovid19.TotalHospitalCountState: Official data  Hospitals & bed stats Statewise
8.INDICovid19.StatewiseContact : Official data Contact & helpline Statewise
9.INDICovid19.DetailPatient : Unofficial patient tracing data and Details
10.INDICovid19.UnoffStateData : Unofficial statewise stats
11.INDICovid19.StateDataHist : Unofficial statewise stats History
12.INDICovid19.TravelHist : Unofficial patient travel history

**Params (Default return in json format), DF = Returns in DataFrame, XML = Returns in XML for format
#Data Returns in JSON format:
Example : 
import INDICovid19
pyjson=INDICovid19.TotalCaseCount() #return json
pydf=INDICovid19.TotalCaseCount('DF') #return DataFrame
pyxml=INDICovid19.TotalCaseCount('XML') #return XML

#Credit
@covid19india.org (https://github.com/amodm/api-covid19-in)
mypapers 0.0.1
论文一体化写作神器（Python）
Requires Python: >=3.6

# MyPapers 论文一体化写作神器（Python）

### 项目框架
```text
.
└── mypapers
    ├── config          # 配置
    ├── crawl           # 数据爬虫
    ├── db              # 数据库
    ├── export          # 论文导出
    ├── plot            # 论文绘图
    ├── stats           # 统计模型
    ├── templates       # 论文模板
    └── utils           # 高级/辅助
```

### 项目说明
该项目致力于为科研论文的写作提供一个集成的环境，
使用本项目您可以便捷地完成论文框架的奠定、论文数据的获取、
论文模型的生成、修改和复现以及论文的word/latex导出，
我们预期该项目最终能为您提高50%的生产效率。

该项目将首先以金融领域的计量论文的书写为起点，
集成或二度开发Python的一些第三方包，
以达到部分甚至完全取代专业的计量软件，如Sas、Stata等。

该项目将对网络数据采集提供最大程度地友好支持，
将内嵌Selenium、Scrapy等数据采集工具，
并集成Sqlite、MySQL等多种数据库。

### TODO
- [ ] 集成多套基于MarkDown的论文模板
- [ ] 集成StatsModel等计量包
- [ ] 集成JupyterNotebook等环境
- [ ] 集成Docx、Latex等导出媒介