semvec/pypi-packages huggingface dataset:
html2md 0.1.7
HTML to Markdown converter.

# html2md

HTML to Markdown converter

## Installation

```sh
pip install -U html2md
```

## Usage

As a command line tool:

```sh
# To convert a file.
html2md examples/hello.html

# To convert from stdin.
cat examples/hello.html | html2md
```

From a Python script:

```py
import html2md

html = '''
<h1>Header</h1>
<b><i>Hello</i></b> from <code>html2md</code>
<pre class="py"><code>
print('Hello')
</code></pre>
'''

md = html2md.convert(html)
print(md)
```

## Contributing

Contributions are welcome! For instructions on how to contribute,
please check the [Contribution guide](CONTRIBUTING.md).
screentime 0.0.1
ScreenTime™ for non iOS devices

# Screentime
> ScreenTime™ for non iOS devices

## Why?
Now adays most modern mobile phones are equiped with software to keep track of its usage while many desktop devices do not so I decided to make one.  Also it is made entirely from the Python standard library.

## Installation
`pip3 install --user screentime`

## Usage:
```
usage: screentime [-h] [--begin] [--end] [--summary]

Keep track of Daniel's unhealthy screen usage.

optional arguments:
  -h, --help     show this help message and exit
  --begin, -b    begin a new session
  --end, -e      end a session
  --summary, -s  get infromation on previous sessions
```

The program works based on sessions.  A session is a period of time that you spend on your device.  This means that you have to **manually** say tell it when you start and stop using your device.

## Begin a session
`$ screentime -b`

## Ending a session
`$ screentime -e`

## View a summary of your screentime
`$ screentime -s`

## Some issues you should know about
- You have to **manually** tell the programm when you are using your device
- The screen time information is presented in the most plain and boring way possible
text-file-reader 1.0.0
Termial text file viewer

# text-file-reader

Exactly what it sounds like.

*This is not meant for practical use. It began as a hackathon submission, but I missed the deadline, so now I'm finishing it to be happy. The theme of the hackathon was "Overengineered UI", so it's not meant to be easy to use.*

# Installation

## Install with Git

```git clone https://github.com/stcejorPmodnar/ph-hackathon-2019```

## Install with pip

*Coming soon*

# Usage

## Startup

As of right now, it's just

```python[3] file-reader.py file.txt```

With `file.txt` being the file you want to read.

You can include the flag `-h` if you want to see the helpscreen.

## Interface

Press ^e at any time to quit.

^t - find in file

^b - compile file in your choice of various languages.

Use the arrow keys to move your cursor.
If you attempt to move it off the screen, 
the file contents will scroll accordingly.

You will get an error if your terminal window is too small to display any of the text.

# Contribute

Though I wouldn't mind any pull requests, wait for the first stable release to contribute.

# Requirements

Because of the compile option, this likely won't work on windows, 
so I won't even bother to add stuff about installing windows-curses to the setup.py.

It should in theory work on linux or any of its distros, 
but I doubt it since I have little experience with the OS, and I haven't done any testing with it.

You should have python 3.x installed, but I've yet to test it with anything lower than 3.7.4, 
and I think there are some changes between python 3.6 and 3.7 in multiline string formatting, 
which (as you can imagine) was very important to this project.
nospy 0.0.1.post2
Network Object Store
Keywords: network object store binary data datastore fast

# NOSpy - Official Python client for N.O.S.

## A brief introduction to N.O.S.

N.O.S. is a fast Network Object Store that stores objects as binary data.
The primary interface for NOS is HTTP/s.
N.O.S. is written in GO, and is designed for high performance.
This Python client aims to keep the objects as native as possible to python.
It provides a thin layer of abstraction just to keep things pythonic, but
the lower level HTTP api is always availble for you to use at your discretion.

## Installation

Install NOSpy via pip:
`pip install nospy`

## Setup & Usage

In order to use NOSpy you'll need to have a working NOS server setup, running and accessible via HTTP.

**NOTE:** NOS is not publicly available at the moment.

Connect to the NOS server:

```python
from nospy import NOSClient

nos = NOSClient("http://localhost:9900")
```