semvec/pypi-packages huggingface dataset:
argpy 0.0.2
A high-level shorthand argument parser for Python 3 or above
License: MIT
Requires Python: >=3.5

# argpy

A high-level shorthand argument parser for Python 3 or above

---

## Overview

The objective of argpy is simply to strengthen one's propensity to utilize argparsing in Python scripts by making the definition of command line arguments slightly less tedious.

---

## Installation

Run `pip3 install argpy`

---

## Arguments

|   var   |                    name                     | type | default |
| :-----: | :-----------------------------------------: | :--: | :-----: |
| options | [Options](#defining-and-retrieving-options) | list |  n / a  |

---

## Examples

### Importing the Module

```
from argpy import argpy
```

### Defining and Retrieving Options

Options are passed into argpy in the form of a list of dictionaries. Here each item or element within the list represents one option. In the example below, option one is defined as name with a short form flag of -n and a long form flag of --name. The "dest" key defines how the passed in option will be accessed from within the program while the "help" key defines any additional help text that will be accessible by the user passing in the option via the command line. The second option demonstrates how to pass in a boolean argument, which defaults to False.

```
# Define options
options = [
      {"flags": ("-n", "--name"), "dest": "name", "help": "The object's name"},
      {
          "flags": ("-a", "--activate"),
          "dest": "activate",
          "bool": True,
          "help": "Whether to activate the object",
      },
  ]
```

The above options can be implemented and retrieved by continuing the script as follows:

```
# Get arguments
arguments = argpy(options)

# Get name, activate
name = arguments.name
activate = arguments.activate
```

In case you're wondering what this would look like from that command line, see below.

```
python3 my_script.py --name OptimusPrime --activate
```

or

```
python3 my_script.py -n OptimusPrime -a
```
datasist 1.5.3
A Python library for easy data analysis, visualization, exploration and modeling
License: MIT
Keywords: Data Analysis,Feature Engineering,Visualization,project management,modeling,machine learning

# Getting Started

![datasist](https://risenw.github.io/datasist/datasist.png)

## datasist: Python library for easy data analysis, visualization, exploration and modeling

| Latest Release |  [![latest release](https://img.shields.io/badge/pip-v1.5.2-blue.svg)](https://pypi.org/project/datasist/) |
| :--- | :--- |
| Release Status |  [![status](https://img.shields.io/badge/status-stable-brightgreen.svg)](./) |
| License |  [![license](https://img.shields.io/badge/license-MIT-orange.svg)](./) |
| Build Status |  [![build status](https://travis-ci.org/risenW/datasist.svg?branch=master)](./) |
| Downloads | ![PyPI - Downloads](https://img.shields.io/pypi/dm/datasist?style=plastic) |
| Source Rank | ![Libraries.io SourceRank](https://img.shields.io/librariesio/sourcerank/pypi/datasist)
| Twitter | ![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Fdatasistlibrary) |
### What is it?

**datasist** is a python package providing fast, quick, and an abstracted interface to popular and frequently used functions or techniques relating to data analysis, visualization, data exploration, feature engineering, Computer, NLP, Deep Learning, modeling, model deployment etc.

### Install

```bash
pip install datasist
```

### Installation from source (Developers)

To install datasist from source you need python 3.6&gt; in addition to the normal dependencies above.

Run the following command in a terminal/command prompt

```bash
git clone https://github.com/risenW/datasist.git
cd datasist
python setup.py install
```

Alternatively, you can use install with `pip` after cloning, if you want all the dependencies pulled in automatically \(the `-e` option is for installing it in \[development mode\]:

```bash
git clone https://github.com/risenW/datasist.git
cd datasist
pip install -e .
```

### Documentation

Full documentaion can be found [here](https://risingodegua.gitbook.io/datasist-doc/)

### Contributing to datasist

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

If you would like to contribute to datasist, find a detailed contribution guide [**here**](https://risingodegua.gitbook.io/datasist-doc/contributing).


### Using Datasist
[Quick start guide](https://risingodegua.gitbook.io/datasist-doc/quickstart)

[Tutorial guide](https://risenw.github.io/datasist/classification_example.html)

#### Youtube Videos

Introduction to using Datasist, presented at NeuRips Meetup - PH. [Click Here](https://youtu.be/WYxSz6WBn-M)

Introduction to Datasist by DataKnight [Click Here](https://youtu.be/ErWa_WWu7vM)

[![Made in Nigeria](https://img.shields.io/badge/made%20in-nigeria-008751.svg?style=flat-square)](https://github.com/acekyd/made-in-nigeria)