semvec/pypi-packages huggingface dataset:
MoonrakerPy 0.2.2
A Python package for interface with the Moonraker API.
Requires Python: >=3.7.3

# MoonrakerPy

**WIP!**

A Python convenience package for simplified interfacing with the [Moonraker](https://github.com/Arksine/moonraker) API. Essentially a `requests` wrapper.

## Installation
From PyPI:

    pip install moonrakerpy

## Basic Usage

```py
import moonrakerpy as moonpy

# Instantiate a `MoonrakerPrinter` object using the web/IP address of the target
# Moonraker installation.
printer = moonpy.MoonrakerPrinter('http://192.168.1.69')

# Send arbitrary g-code commands
printer.send_gcode('G28 X')

# Set temperatures
printer.set_extruder_temp(245)
printer.set_bed_temp(105)

# Read in g-code terminal messages
for msg in printer.get_gcode(count=5):
    printer(msg)
```
Views-Extraction 1.0.0
This project extracts the view data of every post from WordPress.

# LPBI Data Extraction Project
### Thank you for visiting! ![](https://visitor-badge.glitch.me/badge?page_id=AbhisarAnand.LPBI_Data_Extraction_Project)

This repository contains code which extracts the view data of every post from WordPress.

## Documentation
The documentation can be found at: [https://lpbi-views-project.sidepage.co/](https://lpbi-views-project.sidepage.co/)
LPBI-Data-Extraction-Project 1.0.0
This project extracts the view data of every post from WordPress.

# LPBI Data Extraction Project
### Thank you for visiting! ![](https://visitor-badge.glitch.me/badge?page_id=AbhisarAnand.LPBI_Data_Extraction_Project)

This repository contains code which extracts the view data of every post from WordPress.

## Documentation
The documentation can be found at: [https://lpbi-views-project.sidepage.co/](https://lpbi-views-project.sidepage.co/)
topicblob 0.0.8
TopicBlob is a package to perform quick and easy topic modeling on text.
Requires Python: >3.6
Keywords: python,topic modeling,gensim,nlp,spacy

TopicBlob: Simplified Topic Modeling
====================================


`TopicBlob` is a Python 3 library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks around topic modeling such as finding similar documents and provide a list of topics given input text.


Here is a live demo of TopicBlob working on wikipedia pages  
https://share.streamlit.io/banjtheman/topicblob/main/topicblob_st.py


TopicBlob leverages  `NLTK`, `pandas`, and `gensim` , for the heavy lifting

Features
--------

- Topic Extraction
- Similarity Search
- BM25 search ( word ranking search)
- Topic Search

Get it now
----------
    $ pip install topicblob 

Requirements
------------

- Python  >= 3.5

Docker Setup
------------

- Ensure you have (docker)[https://www.docker.com/] installed locally.
- Build local Docker Image
    `docker build -t topicblob:local .`
- Run App (Simply runs the `example.py` module)
    `docker run topicblob:local`