semvec/pypi-packages huggingface dataset:
vars-pickle 0.3.6
Save your variable as Rstudio
Requires Python: >=3.6

# Save your variable as Rstudio!!
Tools for Data science
## to_HDF5
Save your Data to HDF5
## from_HDF5
Load your Data from HDF5
## dumps()
Dump your variable
## loads()
Load your variable
## type_list
The type of variable that needs to be saved
## drop_list
Variables that you don't want to save(for jupyter)
sgenet 0.2
Python package for spelling and grammar correction

# SGnet
Comprehensive Python library for spelling and grammar.<br><br>

# Getting Started
spellygrammarc(SGnet) is a comprehensive library for performing spelling and grammar corrections.

### Installation
pip install spellygrammarc

# Build Status
in process

# Code Style

```
from spellygrammarc import spelly
spelly('What is your domicil city')
>>['what','is','your','domicile','city']
```

# Screenshots
# Technology Stack
* Python 3.5.2
* Numpy
* Pandas

# Features
# Code Example
# API Reference
# Tests
# How to use
# Contributing to sgnet
All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

A detailed overview on how to contribute can be found in the contributing guide. There is also an overview on GitHub.

If you are simply looking to start working with the sgnet codebase, navigate to the GitHub "issues" tab and start looking through interesting issues. There are a number of issues listed under Docs and good first issue where you could start out.

You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions.

Or maybe through using you have an idea of your own or are looking for something in the documentation and thinking â€˜this can be improvedâ€™. You can do something about it!

Feel free to ask questions on the mailing list or on [Slack](https://robofied.slack.com).

# Credits
[Akshat Gupta](https://in.linkedin.com/in/akshat-rg) <br>

# License
[BSD-3](https://github.com/Robofied/sgnet/blob/master/LICENSE)
Cloud-Kafka-Logger 0.1.7
Send Message To Cloud Kafka Topic


# Kafka Package

This is a simple package which sends log messages to Cloud Kafka Topic.

# Version

Python == 3.X

# Dependency 

confluent-kafka>=0.11.6

# Installation

Run the following to install

pip install cloud-kafka-logger

# Usage

import logging

from cloudKafkaLogger import KafkaHandler

logger = logging.getLogger(__name__)

logger.setLevel(logging.DEBUG)

conf = {

    'bootstrap.servers': 'cloud-kafka-servers',

    'session.timeout.ms': 6000,

    'default.topic.config': {'auto.offset.reset': 'smallest'},

    'security.protocol': 'your-protocol',

    'sasl.mechanisms': 'your-mechanisms',

    'sasl.username': 'your-username',

    'sasl.password': 'your-password'

}

kh = KafkaHandler(conf=conf, topic='your-topic')

logger.addHandler(kh)

# This will be written into Kafka Topic
logger.info(json.dumps({"app_name": "Test_Python_App", "message": "Am logging from application"}))
mdc 1.2.1
Mapped Diagnostic Context (MDC) library for python
Keywords: logging,mdc,context

MDC
===

.. image:: https://travis-ci.org/AFriemann/mdc.svg?branch=master
    :target: https://travis-ci.org/AFriemann/mdc

This is thought to be an easy to use, import and go, library for Mapped Diagnostic Context style logging.

Logs should include all necessary fields collected by the python logging library.
Helper methods are provided to add context fields where required.

**NOTE** `1.2.0`: recent changes will result in changed json output if using the `MDCHandler` class:

.. code:: python

  >>> with MDC(foobar="baz"):
  ...   logging.warning("test") 
  { "message": "test", "foobar": "baz" }


this is a temporary solution to avoid breaking existing APIs. Please excuse any issues this might cause. In the future output handling should be done on the client side to avoid any possible breakage. The MDCHandler class will eventually be removed.

Installation
------------

PyPi:

.. code:: bash

  $ pip install --user mdc

From source:

.. code:: bash

  $ pip install --user .

Usage
-----

Add a handler to the root logger or set the base handler with *logging.basicConfig*:

.. code:: python

  >>> import logging
  >>> from mdc import MDCHandler

  >>> # use the MDCHandler only
  >>> logging.basicConfig(level=logging.DEBUG, handlers=[MDCHandler()])

  >>> # the MDC contextmanager
  >>> with MDC(foo='bar'):
  ...     logging.warning('foobar')
  { ..., "mdc": { "foo": "bar" }, "extra": {}, ... }

  >>> # the with_mdc decorator
  >>> @with_mdc(test='123')
  ... def foobar(ctx):
  ...   logging.warning('some warning')

  >>> foobar()
  { ..., "mdc": { "test": "123" }, "extra": {}, ... }

  >>> # logging with extra fields
  >>> logging.error('some error', extra=dict(foo='bar'))
  { ..., "mdc": {}, "extra": { "foo": "bar" }, ... }

By default log messages will include the following fields:

.. code:: json

  {
    "message": "deleting context b8321b4f-19ff-4c98-b011-5a97178e7ad6",
    "logger": "mdc",
    "timestamp": "2018-03-07T21:39:12.010851",
    "level": "DEBUG",
    "mdc": {
      "foo": "bar",
      "index": 76
    },
    "extra": {},
    "python": {
      "module": "__init__",
      "function": "MDC",
      "path": "/home/user/git/mdc/mdc/__init__.py",
      "file": "__init__.py",
      "line": 56,
      "process": {
        "name": "MainProcess",
        "id": 31678
      },
      "thread": {
        "name": "MainThread",
        "id": 140433289192768
      }
    }
  }

Running tests:

.. code:: bash

  $ tox
s2kindle 0.5.1
Send web articles to your kindle!

# send-to-kindle

[![PyPI version](https://badge.fury.io/py/s2kindle.svg)](https://pypi.org/project/s2kindle/) [![Build Status](https://dev.azure.com/antonioferegrino/send-to-kindle/_apis/build/status/fferegrino.send-to-kindle?branchName=master)](https://dev.azure.com/antonioferegrino/send-to-kindle/_build/latest?definitionId=1&branchName=master)

A teeny tiny app that you can use to send stuff to your kindle. 

## Installation  

```shell script
pip install s2kindle
``` 

## Requirements

Requires the [KindleGen](https://www.amazon.com/gp/feature.html?ie=UTF8&docId=1000765211) app. Download it and extract it.

## Usage  

As simple as executing the s2k command with the url that you want to send:  

```shell script
s2k https://medium.com/@antonio.feregrino/lorem-ipsum-cb19745555ea
```

You can specify the configuration file outlined below via the `--config` argument. 

## Configuration

This app requires a configuration file like the following:  

```
[mail_account]
from = send_to_kindle_01@disposable.com
password = 07JL68r6thb3
to = antonio.feregrino_0@kindle.com

[mail_server]
host = smtp.mail.com
port = 587

[kindlegen]
path = /Users/user/kindlegen
```

The `from` key must be the email that will be used to send the email to your kindle, in the same sense `password` is the password of such account. The `to` key is the email of your kindle device.  

Both `host` and `port` are used to authenticate against the email server that is in charge of sending the emails.  

The `kindlegen` is a path to where the *kindlegen* app has been extracted.


## Supported websites  

 - Medium
 - dev.to