semvec/pypi-packages huggingface dataset:
titanicazertyuio 0.0.1
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
titanicazertyui 0.0.1
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
PyAppBuilder 0.1.1
makes applications
Keywords: python,GUI,app,tkinter,PyQt5,PYPI

# PyAppBuilder

Developed by Roop Majumder from Technical Earth (c) 2020

## Examples of How To Use

browser

```python
from PyAppBuilder import browser

browser(name, url, icon)
```

using browser

```python
from PyAppBuilder import browser

browser('my browser', 'www.google.com', 'icon.png')
```

notepad

```python
from PyAppBuilder import notepad

notepad(name, icon)
```

using notepad

```python
from PyAppBuilder import notepad

notepad('my notepad', 'icon.png')
```

calculator

```python
from PyAppBuilder import calculator

calculator(name, icon)
```

using calculator

```python
from PyAppBuilder import calculator

calculator('my calculator', 'icon.png')
```
	
##### There are more to explore stay around.

##### more things coming soon.
mygtestabcdefg 0.0.13
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
leidenmark 0.2.2
A markdown extension for converting Leiden+ epigraphic text to TEI Epidoc XML
Requires Python: >=3.6
Keywords: Leiden+ Markdown TEI Epidoc XML HTML

# LeidenMark

```shell
$ pip install leidenmark
```

A Python Markdown extension for converting Leiden+ epigraphic text to TEI XML/HTML. Inspired by the Brill plain text (BPT) format that aims to incorporate Leiden+ into a Markdown-based syntax.

```python
>>> from leidenmark import leiden_plus
>>> content = """\
<D=.r<=
1. Lorem ipsum dolor
vac.1lin
2. sit amet, con[ca.3]c
3.-etur adipiscing
=>=D>
<D=.v<=
lost.2lin
6. ut labore et dol
7.-ore magna aliqua
=>=D>"""
>>> leiden_plus(content, indent=True)
```

The output of the above lines is the following XML snippet:

```xml
<div n="r" type="textpart">
  <ab>
    <l n="1">Lorem ipsum dolor</l>
    <space quantity="1" unit="line"/>
    <l n="2">sit amet, con<gap precision="low" quantity="3" reason="lost" unit="character"/>c</l>
    <l break="no" n="3">etur adipiscing</l>
  </ab>
</div>
<div n="v" type="textpart">
  <ab>
    <gap quantity="2" unit="line"/>
    <l n="6">ut labore et dol</l>
    <l break="no" n="7">ore magna aliqua</l>
  </ab>
</div>
```

`leiden_plus()` is syntactic sugar for the registered Markdown extension, and equivalent to:

```python
>>> import leidenmark
>>> from markdown import markdown
>>> markdown(content, extensions=['leiden_plus']) # Other extensions can be added to this list
```

## Configuration

Given that this is a Markdown extension, conventions like `*italics*` and `**bold**` will also be recognized an converted (these in particular will additionally be transformed to the TEI element [`<hi>`](https://tei-c.org/release/doc/tei-p5-doc/en/html/ref-hi.html)). Though these are _in principle_ not part of the Leiden+ syntax, _in practice_ the use of italics and boldface is still encountered a lot. Therefore, support is maintaned by default, which can be switched off by passing `strict=True`:

```python
>>> leiden_plus(content, strict=True)
```

NB: The blockprocessors for paragraphs and ordered list are always switched off, because they interfer too much with Leiden+.
titanicazertyu 0.0.1
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
mygtestabcdef 0.0.13
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
titanicazerty 0.0.1
test
Keywords: python,video,stream,video stream,camera stream,sockets

# vidstream

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Florian Dedov from NeuralNine (c) 2020

## Examples of How To Use (Buggy Alpha Version)

Creating A Server

```python
from vidstream import StreamingServer

server = StreamingServer('127.0.0.1', 9999)
server.start_server()

# Other Code

# When You Are Done
server.stop_server()
```

Creating A Client
```python
from vidstream import CameraClient
from vidstream import VideoClient
from vidstream import ScreenShareClient

# Choose One
client1 = CameraClient('127.0.0.1', 9999)
client2 = VideoClient('127.0.0.1', 9999, 'video.mp4')
client3 = ScreenShareClient('127.0.0.1', 9999)

client1.start_stream()
client2.start_stream()
client3.start_stream()
```

Check out: https://www.youtube.com/c/NeuralNine
datadog-custom-logger 1.1.1
Logger Tool for Datadog logs monitoring

# Datadog Custom Logger
[![PyPI](https://img.shields.io/pypi/v/datadog-custom-logger)](https://pypi.org/project/datadog-custom-logger/)
  [![Open in VS Code](https://open.vscode.dev/badges/open-in-vscode.svg)](https://open.vscode.dev/meet86/datadog-custom-logger)

## Usage

### Steps
- Install pip package
  
  ```shell
  pip install datadog-custom-logger
  ```
- Import package
  
  ```python
  from datadog_custom_logger import DatadogCustomLogHandler
  ```
- Initialize the handler
  
  ```python
  datadog_custom_handler = DatadogCustomLogHandler(level=logging.INFO)  
  ```
  > 💡Note: if the level is set to logging.WARNING, you won't be able to see info or debug level logs.

## Hierarchy:
    - debug (logging.DEBUG)
    - info (logging.INFO)
    - warning (logging.WARNING)
    - error (logging.ERROR)
  
- Attach the handler
  
  ```python
  logging.basicConfig()
  logger = logging.getLogger()
  logger.addHandler(datadog_custom_handler)
  logging.getLogger().setLevel(logging.INFO)
  ```
- Now simply log the logs
  
  ```python
  # This statement won't be logged because the .setLevel() is set to logging.INFO.
  # Please check the logging hierarchy for more.
  logging.debug("This is debug level code")
  # This will be logged as per .setLevel()
  logging.info("This is info level logs")
  ```

  ## Complete example:
  [![datadog-logger-example](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/meet86/datadog-logger-example)
positivitypy 1.1.0
Detecting if text is in positive or negative sense. Can be used to classify reviews.
Keywords: python,NLP,machine-learning,review,classification


# positivitypy

This package can detect if text is in positive or negative sense. Can be used to classify reviews. Created using the logics of natural language processing.

## Installation

```cmd
pip install positivitypy
```

## Usage

```py
import positivitypy
positivitypy.predict("This is a useful package") # returns boolean
```