semvec/pypi-packages huggingface dataset:
DataAnnotated 1.0.0
Python package for DataAnnotated platform
Requires Python: >=3.7.9

<p align="center">
  <img src="./assets/logo.png" width="150" margin-right="100px"/>
  <img src="./assets/python.png" width="120" /> 
</p>
<h1 align="center" style="font-weight:bold">
    DataAnnotated Python Package
</h1>

<p align="center">
A python package for DataAnnotated platform to provide seamless integration between data in annotation and data in development.
</p>

<p align="center">
<img src="https://img.shields.io/badge/License-MIT-yellow.svg" />
<img src="https://img.shields.io/badge/Maintained%3F-yes-green.svg" />
<img src="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" />
</p>

<p align="center">
<img src="./assets/sample code.png" width="800" height="500"/>
</p>


<h2 align="center" style="font-weight:bold">
Installation
</h2>

1. **Install the package using pip**

    ```bash
    $ pip install DataAnnotated
    ```
date-formatter 0.1.1
A Python package for formatting strings into readable date strings
Requires Python: >=3.7
Keywords: text

# date_time_format

a Python package that formats a ten character string to a date

# Installation

```bash
pip install date_formatter
```

# Usage

## Minimal example

```python
from date_formatter import *

date_time_string_US = "12-18-2014"
date_time_string_AUS = "18-12-2014"

myDates_US = DateFormatter.dateFormat(date_time_string_US, False, True, "US")
myDates_AUS = DateFormatter.dateFormat(date_time_string_AUS, True, False)

print(myDates_US)
print(myDates_AUS)

```

## returns:

- 18-Dec-14
- 18 December 2014

## Parameters

- **date_time_string: str**
  The date string you want to format
- **USE_FULL_MONTH_NAME : bool**
  Whether to display the full name of the month. If this is set to `True`, shows "January"; if this is set to `False`, shows "Jan".
- **USE_HYPHEN_AS_SPACER : bool**
  Whether to show interval between characters as single space, or hyphen. If this is set to `True`, shows "18-Jan-14"; if this set to `False`, shows "18 Jan 14"
- **REGION_FORMAT : str, optional**
  Which region's date format to use. If set to "US" assumes string is "MM-DD-YYYY"; if this is set to something or is missing, assumes string is "DD-MM-YYYY"
organa 0.1.1
HTTP-based Federated Learning
Requires Python: >=3.6

# Organa
A modular HTTP-based Federated learning system

## Installation
Run
```
pip install -r requirements.txt && make && pip install .
```

## How to use
You need to construct a model that implements organa.Model, a dataset that
implements organa.DatasetWrapper, and a global model update function. These each
are used for the constructing the server and clients, the server starts on
constructions and the client must perform a look of gets and posts.

There is an example in the sample folder
Pipflow 0.1.2
Package manager that compliments Docker-based workflows
Requires Python: >=3.5
Keywords: Package Managers

# PipFlow


## Background

Pipflow is built for developers who deploy their Python software using Docker and Cloud Native technologies. When 
building docker images our constraints are:

- The more slim the image, the better.
- The less image layers, the better.
- Don't reinvent the wheel by installing a new package manager in your Dockerfile. These tools tend to use 
  lock files, which are fine in general, but in Docker they are redundant because we already have a way to 
  pin dependencies: Docker image layers.
 

This leave us with one option: Continue to use plain old `pip`, but create some new workflows that improve the 
developer experience.

For example, Pipflow replaces this workflow:


    $ pip3 install <new-package>
    $ pip3 freeze | grep <new-package> >> requirements.txt
    $ docker build ... # (A redudant install)


with this:

    $ pipflow add <package>


## Setup
Install `pipflow` on your *HOST OS only* (macOS, Windows, Linux etc). Do not add Pipflow to your `requirements.txt`.

    pip3 install pipflow

## Usage

Add a new package

    pipflow add <package-name>

Remove a package

    pipflow remove <package-name>
    
Upgrade a package version

    pipflow upgrade <package-name>
    
Upgrade all packages
    
    pipflow upgrade-all
    

Vew all packages eligible for upgrade

    pipflow view-all
    
## License
MIT Copyright (c) 2021 Michael.