semvec/pypi-packages huggingface dataset:
iCloud-Homie-4 0.1.1
Homie 4 for iCloud Devices
Keywords: HOMIE,MQTT,iCloud,iPhone

# iCloud-Homie
 iCloud to Homie MQTT Bridge

Connects iCloud Accounts/Devices to [Homie 4 MQTT convention](https://homieiot.github.io/).

To start as a service on raspbian 

Create icloud_homie.yml in /etc using the following settings:


```yaml
mqtt:
  MQTT_BROKER: 
  MQTT_PORT: 1883

icloud:
  account_name: 
    username: 
    password: 
  account_name:
    username:
    password:

update_interval:
  ```

  Create icloud-homie.service in /etc/systemd/system

  ```service
[Unit]
Description=iCloud Homie
After=multi-user.target

[Service]
User=pi
Type=simple
ExecStart=/usr/bin/python3 /usr/local/bin/icloud_homie_start.py
Restart=on-abort

[Install]
WantedBy=multi-user.target
```

The first time the service starts, you should receive a text message on your phone with a verifcation code (do not use the verifcation code from the Apple App). You need to send this code back to the Homie account device. Easy to do this with MQTT Explorer.

Publish: homie/icloudaccount/account/verificationcode/set with the verification code as a raw payload
ccmaes 1.0.8
Package Containing Configurable version CMA ES optimizer

# ConfigurableCMAES

Running tests
`$ python3 -m unittest discover`

Running optimizer
`$ python3 -m ccmaes  [-h] [-f FID] [-d DIM] [-i ITERATIONS] [-l] [-c] [-L LABEL]
                   [-s SEED] [-a ARGUMENTS [ARGUMENTS ...]]`


Generating documentation
`cd docs & make html`

Running simple webserver in order to view documentation (they should be generated first)
`cd docs/build/html & python3 -m http.server`
The docs should now be accesible at port 8000 on your local machine.
mynews-bot 0.1.1
Get news items from multiple news sources
Requires Python: >=2.7
Keywords: python,command-line,rss feed

# mynews_bot
By Rajarshi Ghosh <rajarshig89@gmail.com>

Introduction
------------
mynews_bot is a python command line application. It's objective is to collect news from various sources (using corresponding RSS feeds) & provide a terminal interface for viewing the collected data.

Installation
------------
```
pip install mynews-bot
```


Usage
------------
```
usage: mynews-bot [-h] [-s SOURCE] [-t TOP] [-v]

Get news items from multiple news sources

optional arguments:
  -h, --help            show this help message and exit
  -s SOURCE, --source SOURCE
                        Name of the news source. Available options are: TOI,
                        NYT, IT, GNEWS, QUINT, REDDIT, BBC, BUZZFEED,
                        ALJAZEERA, YAHOONEWS, CNN, GUARDIAN, WASHINGTON_POST,
                        CNBC, REUTERS, INDEPENDENT, BUSINESS_STANDARD
  -t TOP, --top TOP     Count of news items to show from top order. Default:
                        10
  -v, --version         show program's version number and exit
```

Example
------------
- Get news for source BBC
```
mynews_bot -s BBC
```
- Get top 5 news for source CNBC
```
mynews_bot -s CNBC -t 5
``` 
- Get news from all sources
```
mynews_bot -t 2
```
## News Sources
- Times Of India
- New York Times 
- India Today
- Google News
- Quint
- Reddit
- BBC
- Buzzfeed
- AlJazeera
- Yahoo News
- CNN
- Guardian
- Washington Post
- CNBC
- Reuters
- Independent
- Business Standard
pyhost 0.1.0
DNS Lookup
Requires Python: >=3.7

# pyhost

DNS Lookup

## Versioning

pyhost follows [SemVer](https://semver.org/) (MAJOR.MINOR.PATCH) to track what is in each release.

* Major version number will be bumped when there is an incompatible API change
* Minor version number will be bumped when there is functionality added in a backwards-compatible manner.
* Patch version number will be bumped when there is backwards-compatible bug fixes.

Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format.

## Installation

Installation the package from pypi with your tool of choice `pip`, `poetry` or `pipenv`.

```bash
pip install pyhost
```
pymiscell 0.0.1
A package with miscellaneous, common use tools
Requires Python: >=3.6

# Miscellaneous tools

This package contains miscellaneous Python functions, intented to be included across more complex projects.

# Installation

Easisest way to install the package is calling:

```pip install pymiscell```

Nevertheles, if you use a conda manager based environment, such as [Anaconda](https://www.anaconda.com/) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html) distributions, then you should first install required dependencies, using conda installer:

```conda install --yes h5py IPython matplotlib numpy pandas pytest rpy2 scipy sympy tqdm```

And then call pip to install the package. Doing so you don't risk mixing non-compatible dependencies.
sslbookdata 0.1
9 data sets for semi-supervised learning
Requires Python: >=3

# sslbookdata #

This python module provides functions to load the 9 data sets published in the book "Semi-Supervised Learning".

They are converted from the matlab files as found on Olivier Chapelle's web page
http://olivier.chapelle.cc/ssl-book/benchmarks.html

### Detailed description of the data ###

Each data set comes with a 10 or 12 different splits, and users can
choose the number of labeled points their training gets to see.

Labels are provided for all points (for benchmarking), but the
benchmarks suggest to use a fixed number of labels (10 or 100 for most
sets).

Full details about the benchmarks are provided in chapter 23 of the book
(online here: http://olivier.chapelle.cc/ssl-book/benchmarks.pdf)

### This code ###

* This code (c) by Oliver Obst <o.obst@westernsydney.edu.au>
  has been released under MIT License (see the LICENSE file).

* If you use these data sets in your research, you can cite the SSL book:

---
```
    @Book{ChaSchZie06,
      editor =	  {O. Chapelle and B. Sch{\"o}lkopf and A. Zien},
      title = 	  {Semi-Supervised Learning},
      publisher = {MIT Press},
      year = 	  2006,
      url =       {http://olivier.chapelle.cc/ssl-book/index.html},
      address =	  {Cambridge, MA}
    }
```