semvec/pypi-packages huggingface dataset:
Hashami 1.0.0
Deterministic dictionary hashing
Requires Python: >=3.7

# Hashami

Deterministic dictionary hashing in Python.

## Use Case

When modeling API response data in our data warehouse we needed a way to reference similar calls (i.e. the parameters were the same) over time in order to analyze changes in the data. Python [Dictionary objects](https://docs.python.org/3/tutorial/datastructures.html#dictionaries) were the most common vehicle for working with the parameter groupings and so we reached for a method to deterministically generate a hash based on those values.

## Example Usage

```python
from hashami import hasher as h

outgoing_params = {
    'foo': 'bar',
    'baz': 'qux',
    'quux': 'quuz'
}

params_hash = h.hash_dict(outgoing_params)
```
my-first-package-bmi-calculator 1.0.0
Calculates body mass index
Requires Python: >=3.0

# BMI_Calculator

Description.
This package calculates the body mass index.
    It takes two inputs:
        - Height(in meters)
        - Weight (in kg)
    and returns an interpretation based on the BMI value
        - Under 18.5: underweight
        - Over 18.5 but below 25: normal weight
        - Over 25 but below 30: slightly overweight
        - Over 30 but below 35: obese
        - Above 35: clinically obese.

## Installation
use the package manager [pip](https://pip.pypa.io/en/stable) to install this package

'''bash
pip install my_first_package_bmi_calculator
'''

## Author
Wiliam
fintoolsom 0.1.15
Personal library for finantial calculations
Requires Python: >=3.8
Keywords: fixed income,dates,rates,curves

# fintoolsom

Finantial calculations related library meant for personal use.

## Contents:
- Fixed Income (function can contain more than one input): 
  - Bonds
  - Chilean Bonds
  - Chilean Deposits (under development)
- Rates (function can contain more than one input):
  - Rate objecte: interest calculation, rate convention convertions
  - Zero Coupon Curve object
- Dates (uses external libraries for performance, but handles different kind of inputs/outputs):
  - Add standard tenors (1D, 1M, 1W, 2Y, ...)
  - Day Count conventions (Actual, Days30, Days30E, Days30U, Days30ISDA, etc...)
  - etc...

## Install instructions:
Easly install with **pip**. See https://pypi.org/project/fintoolsom/

`pip install fintoolsom`

## Requirements:
- Python: >=3.8
- Packages: numpy python-dateutil mathsom
metabolike 0.5.0
Build graph database from BRENDA and BioCyc for studying reprogrammed metabolisms.
Requires Python: >=3.8,<4
Keywords: bioinformatics,metabolic-pathway,network,graph-database

Metabolic reprogramming Knowledgebase
=====================================

.. image:: https://img.shields.io/pypi/v/metabolike
    :alt: PyPI release
    :target: https://pypi.org/project/metabolike/
.. image:: https://readthedocs.org/projects/metabolike/badge/?version=stable&style=flat
    :alt: Documentation status for stable version
    :target: https://metabolike.readthedocs.io/en/stable/
.. image:: https://img.shields.io/github/workflow/status/y1zhou/metabolike/PyTest?label=test
    :alt: PyTest workflow status
    :target: https://github.com/y1zhou/metabolike/actions/workflows/pytest.yml
.. image:: https://codecov.io/gh/y1zhou/metabolike/branch/main/graph/badge.svg
    :alt: Code coverage
    :target: https://codecov.io/gh/y1zhou/metabolike
.. image:: https://github.com/y1zhou/metabolike/workflows/CodeQL/badge.svg
    :alt: CodeQL analysis
    :target: https://github.com/y1zhou/metabolike/actions/workflows/codeql-analysis.yml
.. image:: https://img.shields.io/github/license/y1zhou/metabolike
    :alt: Package license
    :target: https://github.com/y1zhou/metabolike/blob/main/LICENSE
.. image:: https://img.shields.io/badge/code%20style-black-000000
    :alt: Code styled with Black
    :target: https://github.com/psf/black
.. image:: https://img.shields.io/github/commits-since/y1zhou/metabolike/latest/main
    :alt: GitHub commits since latest release (by date) for main branch
    :target: https://github.com/y1zhou/metabolike/commits/main

A Python package that aggregates the data from BRENDA_ and BioCyc_ into one unified `graph database`_.
The MetaCyc (BioCyc) database is imported to a graph database using the provided SBML file and various ``.dat`` files.
A `Streamlit`_ app is `included in the code`_ for easy route search with both example TCGA datasets and custom CSV files.

.. _BRENDA: https://brenda-enzymes.org/
.. _BioCyc: https://biocyc.org/
.. _graph database: https://neo4j.com/
.. _Streamlit: https://streamlit.io/
.. _included in the code: https://github.com/y1zhou/metabolike/blob/main/metabolike/api/main.py

To-Do
-----

* Add tutorial for the package
* Add Dockerfile and docker-compose file
azcam-fastapi 22.3.3
Azcam-fastapi is an azcam extension which implements a fastapi-based webserver
Keywords: ccd,imaging,astronomy,sensors

# azcam-fastapi

*azcam-fastapi* is an *azcam* extension which adds support for a fastapi-based web server.

## Installation

`pip install azcam-fastapi`

or download from github: https://github.com/mplesser/azcam-fastapi.git.

## Uage Example

```python
from azcam_fastapi.fastapi_server import WebServer
webserver = WebServer()
webserver.index = f"index_mysystem.html"
webserver.start()
```