semvec/pypi-packages huggingface dataset:
file-registry 0.0.46
File management scripts
Requires Python: >=3.6

# File Registry
version 0.0.5
addad pandas as a requirement
version 0.0.3
added wordanalysis for __init__

version 0.0.2
added rootpath for __init__

version 0.0.1
Basic version 

This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.
synapse-build 0.2.0
Automated build for synapse workspace artifacts

# Synapse Build

![banner](https://BMeyn.github.io/synapse_build//docs/images/project-banner.png)

*****

[![HitCount](https://hits.dwyl.com/BMeyn/synapse_build.svg?style=flat-square)](http://hits.dwyl.com/BMeyn/synapse_build)
[![PyPI version](https://badge.fury.io/py/synapse-build.svg)](https://badge.fury.io/py/synapse-build)
[![Tests Status](https://BMeyn.github.io/synapse_build/docs/badget/unittest-badget.svg?dummy=8484744)]()
[![Coverage Status](https://BMeyn.github.io/synapse_build/docs/badget/coverage-badget.svg?dummy=8484744)]()

## Features:

  - Build deployment files directly from the synapse artifact in git

  - Automate workspace publish button

  - Replace values with parameters in synapse json artifacts


## Install:

```
pip install synapse-build
```

## Usage:

#TODO: Write usage example

## Contribution:

Please feel free to raise issues or contribute to this project. Here are some steps you can follow if you want to make a contribution

1. Clone the project to your own machine
2. Create a feature branch called: "feature/discription_name"
3. Commit changes to your own branch
4. Create tests for your implemenation
5. Create a pull request when you think your feature is ready
6. We will review your feature and give advice or approve it
mongoops 1.0.6
Its a implementation of mongodB operations for atlas
Requires Python: >=3.6

# mongoops - eleka12

This package built on top of pymongo to make ease of using MongoDB atlas operations.

# How to use mongoops

* install the latest package 

> * in jupyter notebook -
```
    !pip install mongoops
```

> * in command prompt -
```bash    
    pip install mongoops
```

* Now run below snippets of code in your jupyter-notebooks / python project to use pytorch defined functions

## Importing mongoops

```python

from mongoops.ops import MongoDBOperation

```

## Use your MongoDB atlas Database username / Password and atlas URL

```python

USERNAME = " "

PASSWORD = " "

URL = f"mongodb+srv://{USERNAME}:{PASSWORD}@cluster0.ornbe.mongodb.net/test"

```

## Creating a mongo client

```python

mongo=MongoDBOperation(atlas_url=URL)

client=mongo.get_database_client_object()

```

## Creating a database using mongoDB client

```python

DB=mongo.create_database(client,"DB_name")

COLLECTION=mongo.create_collection_in_database(DB,"collection_name")

mongo.create_record(COLLECTION,{"val":"mongoops"})

```

## Checking for DB presence 

```python

mongo.is_database_present(client,"DB_name")

```

## Checking for collection inside DataBase

```python

mongo.is_collection_present("collection_name",DB)

```

## pypi repo link -

[mongoops - PYPI](https://pypi.org/project/mongoops/)

## Github repo link - 

[mongoops - Github](https://github.com/Karthik-VG/mongo_lib/)