semvec/pypi-packages huggingface dataset:
twweet-cli 2.1.0
Tweet right from your cli without even opening your browser.
License: MIT
Requires Python: >=3.6
Keywords: twitter tweet cli

# twweet-cli

> Tweet right from your cli without even opening your browser.

[![Join the chat at https://gitter.im/twweet-cli/Lobby](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/twweet-cli/Lobby) [![Build Status](https://travis-ci.org/CruiseDevice/twweet-cli.svg?branch=master)](https://travis-ci.org/CruiseDevice/twweet-cli)


## Install

`
pip install twweet-cli
`

### Build from Source

**Clone the source**

`
$ git clone https://github.com/CruiseDevice/twweet-cli.git
`

**Navigate to the tweet-cli folder**

`
$ cd twweet-cli
`

**Now run setup.py file.**

For Linux users:
`
$ sudo python3 setup.py install
`

For Windows users:
`
$ python setup.py install
`

**Create a Twitter "App"**

Log in to https://apps.twitter.com/ to create a new app and generate your OAuth credentials:

* Consumer Key (API Key)
* Consumer Secret (API Secret)
* Access Token
* Access Token Secret


**Run the application**

`
$ twweet-cli
`

**_Note: Requires Python 3.x_**

## Usage

* type ` twweet` to post a tweet.
* type ` get` to get different types of information from twitter. A menu will be provided to choose for your choice of             information.
* type ` edit` to change your Ouath credentials.
* type ` 99` to quit the application. 


## Contributing

I appreciate any help and support. Feel free to [fork](https://github.com/CruiseDevice/twweet-cli#fork-destination-box) and [create a pull request](https://github.com/CruiseDevice/twweet-cli/compare)

### Features present

* tweet from your CLI without opening the browser.
* Changing `Consumer Key`  `Consumer Secret`  `Access Token`  `Access Token Secret` keys for twweet-cli. 
* getting the tweets of any user by providing the username.
* getting the tweets of a particular hashtag by providing the same.
* getting the trending topics on twitter. 
* getting the tweets in your timeline.
* getting your follower list and their respective user name on twitter(number of followers to be displayed can be assigned).
* getting your own tweets(number of tweets to be displayed can be assigned).
telegram-me 1.0.1
A simple scraper for getting information from t.me links
License: MIT
Requires Python: >=3.6.*
Keywords: bot bots chat messenger mtproto python telegram telegram_me me telegramme scraping


telegram_me
===========


.. image:: https://img.shields.io/badge/License-MIT-red.svg
   :target: https://github.com/hearot/telegram_me/blob/v1.0.1/LICENSE
   :alt: License: MIT

.. image:: https://img.shields.io/badge/Developer-@hearot-blue.svg
   :target: https://t.me/hearot
   :alt: Developer: @hearot


A simple scraper for getting information from https://t.me links.

Example
^^^^^^^

.. code-block:: python

   from telegram_me import Link

   link = Link.from_username("Wikisource_Bot")

   print(link.bio)  # Output: A @wiki version for wikisource.org. [...]
   print(link.image)  # Output: https://cdn4.telesco.pe/file/...
   print(link.name)  # Output: Wikisource Search
   print(link.username)  # Output: Wikisource_bot

Installation
^^^^^^^^^^^^

You can install this package by simply using ``pip``\ :

.. code-block::

   pip install telegram_me


Changelog
^^^^^^^^^

..

   See `CHANGELOG.md <https://github.com/hearot/telegram_me/blob/v1.0.1/CHANGELOG.md>`_.
   Find new features in `FEATURES.md <https://github.com/hearot/telegram_me/blob/v1.0.1/FEATURES.md>`_.


Commit messages
^^^^^^^^^^^^^^^

..

   See `Conventional Commits <https://www.conventionalcommits.org>`_.


Versioning
^^^^^^^^^^

..

   See `PEP 440 <https://www.python.org/dev/peps/pep-0440/>`_.


Copyright & License
^^^^^^^^^^^^^^^^^^^


* Copyright (C) 2020 `Hearot <https://github.com/hearot>`_.
* Licensed under the terms of the `MIT License <https://github.com/hearot/telegram_me/blob/v1.0.1/LICENSE>`_.
cv2-plt-imshow 0.0.1
Using matplotlib_imshow for images read by cv2
License: MIT
Requires Python: >=3.6
Keywords: cv2 imshow pyplot cv2_imshow matplotlib

# cv2_plt_imshow
Using matplotlib_imshow for images read by cv2 

## Introduction
One of the major issue faced while using `cv2`, especially when you are using `jupyter-notebooks`, is to perform `cv2.imshow` the kernel breaks. Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using `%matplotlib inline` magic. 

This package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks.

## Table of contents
* [Setup](#setup)
* [Usage](#usage)
* [Dependencies](#dependencies)
* [Contact](#contact)

## Setup
```pip install cv2_plt_imshow```

## Usage

```
import cv2
import matplotlib.pyplot as plt
from cv2_plt_imshow import cv2_plt_imshow, plt_format

# read image
im1 = cv2.imread('./images/potrait.jpg')

# use cv2_plt_imshow function to plot any image that was read by cv2, but is plotted using pyplot
cv2_plt_imshow(im1)

# Convert the image to be suitable for pyplot format and later use it for plotting using pyplot functions
im2 = cv2.imread('./images/landscape.jpg')
fig, axs = plt.subplots(2 , figsize=(20,20))
fig.suptitle('Vertically stacked subplots')
axs[0].imshow(plt_format(im1))
axs[1].imshow(plt_format(im2))
```

## Dependencies
* [matplotlib](https://pypi.org/project/matplotlib/)
* [cv2](https://pypi.org/project/opencv-python/)

## Contact
* [Author](https://rupesh.info/)
* [Github](https://github.com/rs9899/cv2_plt_imshow)