semvec/pypi-packages huggingface dataset:
rickAndMortySDK 0.0.1
Rick and Morty SDK
Keywords: python,rick and morty,api rest,syncronous,request


#  🥒 RickAndMortyAPI_Sync
## 📝 Table of contents

- Introduction
- rickAndMorty<!---->.py
- rickAndMortySDK<!---->.py
- main<!---->.py

## 📔 Introduction

Acquisition of data from Rick and Morty characters through synchronous requests to the [Rick and Morty API](https://rickandmortyapi.com/)

## ◼️ rickAndMorty<!---->.py

Project with a menu where there are four options:
- List all characters: shows the names of all the characters and their identifier
- Show character info: by entering the identifier of a character, it shows the following information:
  - Name
  - Status
  - Species
  - Type
  - Gender
  - Origin
  - Location
 - Clear memory: all values ​​are stored in memory to make the least possible requests to the API to speed up the use of the application. This option clears the memory to collect the information again
 - Exit: Exit the program

## ◼️ rickAndMortySDK<!---->.py

SDK based on the previous program where the main functions are encapsulated and can be used as a library. These are:

```py
listAllCharacters()
```

```py
showCharacterInfo(id)
```

## ◼️ main<!---->.py
Program where the library developed in the previous projects is used as follows:

```py
import rickAndMortySDK as rams
```

Being able to access its functions in the following way:

```py
rams.listAllCharacters()
```

```py
rams.showCharacterInfo(id)
```
connect-mongodb 0.0.1
Connect mongoDb with python
Requires Python: >=3.6
Keywords: mongodb,python,connect mongodb with python,connect to mongodb

# PyPi-connect_mongodb

Connect python with MongoDB


### Installation
Run below commandto install whole package

```pip install connect_mongodb```


### Prerequisite
pymongo must be installed
To install pymongo, run below command

```pip install pymongo```


### Import
```from connect_mongodb import Mongodb```


### Connect to Mongodb
```con=Mongodb()``` 
```con.connection(connection_url, database_name=None)```  
        connection function establishes a connection with mongo server 

        Parameters:

        ->connection_url: connection url with password
        database_name(optional): name of the database
        
    
### Create Database
```con.create_database(database_name)```   
        create_database function helps to create a new database 

        Parameters:

        ->database_name: name of the database
        
        
### Check existing Database
```con.available_database()```    
        available_database function returns list of all the existing database 
        

### Create Collection
```con.create_collection(collection_name)```    
        create_collection function is used to create a new collection    
         
        Parameters:   

        ->collection_name: name of the collection
     

### Record Insertion
```con.insert(collection_name, record)```  
        insert function is used to insert value in the table  

        Parameters:  

        ->collection_name: name of the collection
        ->record: data to be inserted
            -to insert one record datatype should be dictionary
            -to insert many record datatype should be list
        

### Finding Records
```con.find(collection_name)```   
        find function is used find all the records in a collection  

        Parameters:  

        ->collection_name: name of the collection
        
        
### Updating a Record 
```con.update(self, collection_name, present_record, new_record))```   
        update function is used to alter/update the record  

        Parameters:  

        ->collection_name: collection name
        ->present_record: existing record
            -datatype as dict
        ->new_record: new record
            -datatype as dict
        
    
### Delete
```con.delete(collection_name,query)```  
        delete function is used to delete record from collection  

        Parameters:  

        ->collection_name: name of the collection
        ->query: any condition in that particular record
            -datatype as dictionary
        

### Drop a Connection
```con.drop_collection(self, collection_name)```    
        drop_collection function is used to drop the collection  

        Parameters:  

        ->collection_name: name of the collection
endoscopy-mhubii 0.0.1
A package for endoscopic image processing
Requires Python: >=3.6

# Endoscopy Bounding Circle Detector
Extract the bounding circle from endoscopic images. Examples are shown for the [DRIVE](https://drive.grand-challenge.org/) and the [cholec80](http://camma.u-strasbg.fr/datasets) dataset, see below

<p align="center">
  <img src="img/result_eye.png" height="200" />
  <img src="img/result_endo.gif" height="200" /> 
</p>

## Example
To run an example on a single image, try
```shell
python img_main.py
```

## Credits
If you use this work as part of your project, please consider citing our [paper](https://arxiv.org/abs/2109.15098)
```bibtex
@article{huber2021deep,
  title={Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction},
  author={Huber, Martin and Ourselin, S{\'e}bastien and Bergeles, Christos and Vercauteren, Tom},
  journal={arXiv preprint arXiv:2109.15098},
  year={2021}
}
```

## Notes
 - SVD doesnt work for incomplete data
 - Simple least squares doesn't work if not at center and angle not zero https://jekel.me/2020/Least-Squares-Ellipsoid-Fit/
 - Linearize?
WhatsApp-Group-Chat-Analysis 0.0.1
This library or package will extract various insights from whatsapp chat and convert that insights into beautiful interactive visual's in just 2-3 lines of code.
Keywords: whatsapp analyzer,whatsapp lib,whatsapp analysis,whatsapp python,chat,whatsapp group chat analysis,whatsapp library,ronil patil,ronil08

As the name suggest, it is Whatsapp Group Chat analysis package. It will basically help the programmers to generate visual insights extracted from the whatsapp group chat. You need to do nothing, just export the group chat and use this package to generate or create beautiful different-different charts. Here you do not have to worry about anything, internally it will do everything for you. It will perform ETL(Extract-Transform-Load) and finally generate insights in the form of visuals. There are approx. more than 15 methods are available which will help you to generate insights, even you can download each and every insight. For More Details visit : https://github.com/ronylpatil/WhatsApp-Group-Chat-Analyzer-Package