semvec/pypi-packages huggingface dataset:
humtemp-tools 0.0.1
Tools for temperature and humidity calculations with uncertainty

# Hello World

This is an example project demonstaraing how to publish a python module to PyPI

## Installation

Run the following to install:
```bash
$ pip install helloworld
```

## Usage 
```python
from helloworld import say_hello

# Generate "Hello World!
say_hello()

# Generate "Hello Everybody"
say_hello("Everybody")
```
#Developing Hello World
To install helloworld, along the tools you need to develop and run tests, run the following in your virtualenv:
```bash
$ pip install -e .[dev]
```
regobslib-NVE 0.0.2
Client library for Regobs
Requires Python: >=3.6

#regobslib — A Regobs client library

## Prerequisites

### Python packages

* `requests`
* `pytz`

## Example programs

Below is a simple program demonstrating how to register a whumpf sound
at a given location and time.

```python
from regobslib import *
import datetime as dt
import pprint

# Contact awa@nve.no to get an API token.
TOKEN = "00000000-0000-0000-0000-000000000000"

# Contact awa@nve.no to get a client ID.
CLIENT_ID = "00000000-0000-0000-0000-000000000000"

# Create a user at https://test-konto.nve.no/ or https://konto.nve.no/
USERNAME = "john.smith@example.com"
PASSWORD = "P4ssw0rd"

# First we create an empty SnowRegistration object
reg = SnowRegistration(REGOBS_TZ.localize(dt.datetime(2021, 8, 17, 9, 48)),
                       Position(lat=68.4293, lon=18.2572))

# Then we add a DangerSign observation to it
reg.add_danger_sign(DangerSign(DangerSign.Sign.WHUMPF_SOUND))

# Authenticate to Regobs to be able to submit observations
connection = Connection().authenticate(USERNAME, PASSWORD, CLIENT_ID, TOKEN, prod=False)

# Send our SnowRegistration to Regobs
stored_reg = connection.submit(reg, Connection.Language.ENGLISH)
pprint.pprint(stored_reg)
```

For a more complete demonstration, refer to [demo.py](demo.py).