semvec/pypi-packages huggingface dataset:
randomemojis 0.3
RandomEmojis: Generates random emoji(s) where {x ∈ R+}
Requires Python: >=3
Keywords: random emojis

<p align="center">
  <a>
    <img src="image/EmojisPython.svg">
    <br>
  </a>
</p>

## What is the RandomEmojis project?
Welcome! This project is a custom python command line application using the click library built by the dudes that made flask. This application generates random emoji(s) and can even show the emojis link. WOW!1!!

## Getting Started

  ### Requirements
  - python 3.7+ and pip is required to use/download randomemojis

  ### Installation
  ```bash
  # Production
  pip install randomemojis
  # Testing
  git clone https://github.com/yusuf8ahmed/RandomEmojis
  ```
  #### Usage
  ```bash
  # Production
  emojis 3
  # Testing
  python emojis 3
  ```
  #### Advance Info
  ```bash
  Usage: emojis [OPTIONS] [NUMBER]

  Emojis: generates random emojis duh

  Options:
    -l, --link     display generated emoji(s) url
    -v, --verbose  show verbose messages
    --help         Show this message and exit.
  ```
exceldrive2py 0.0.1
Read en excel file throgh google drive and plot it

gsheets
=======

|PyPI version| |License| |Supported Python| |Format|


``gsheets`` is a small wrapper around the [`Google Sheets API`_ (v4)](https://docs.google.com/spreadsheets) to provide
more convenient access to [`Google Sheets`_](https://docs.google.com/spreadsheets) from Python scripts.

go to [google console](console.cloud.google.com) <br />
1.Create a Project in google cloud <br />
2.through Navigation menu Go ti API'S & Services and go to library <br />
3.search for google sheets api and enable it <br />
4.search for google drive api enable it and on the right side corner click on create credentials
select google drive api in which api you are using column and web server (eg node js tomcat) in  Where will you be calling the API from dropdown and tick on application data. and then no and press button<br />
5.fill any name in account and role select project and then editor and type json and submit. it will download the json file .<br />
6.open json file search client email go to google sheet you want to use and select share and give access to client email and send.<br />


Links
-----

- GitHub: https://github.com/afsarahmad786/Read-Excel
- PyPI: https://afsarahmad786.github.io/Read-Excel/


Installation
------------

This package runs under Python 2.7, and 3.6+, use pip_ to install:

.. code:: bash

    $ pip install read-excel

This will also install google-api-python-client_ and its dependencies, notably
httplib2_ and oauth2client_, as required dependencies.


Quickstart
----------

Log into the `Google Developers Console`_ with the Google account whose
spreadsheets you want to access. Create (or select) a project and enable the
**Drive API** and **Sheets API** (under **Google Apps APIs**).

Go to the **Credentials** for your project and create **New credentials** >
**OAuth client ID** > of type **Other**. In the list of your **OAuth 2.0 client
IDs** click **Download JSON** for the Client ID you just created. Save the
file as ``client_secrets.json`` in your home directory (user directory).

import the library and load the data by passing the filename and json file downloaded from console it will return a dataframe and print top 5 rows of your data:

.. code:: python

    >>> import read-excel as rf

    >>> dataframe = rf.load_data(filename_of_your_sheet,json_path)

For plotting the data you have to pass the dataframe you just loaded and pass the name X axis  columns name and Y axis column name it will plot the data for you:

.. code:: python

    for plotting
    >>> plot_data(dataframe,"x-axis-column","y-axis-column")
...
data-persistency-pipeline 1.0
Persistency data pipeline
Requires Python: >=3.7.3,<3.8.0

# Data Persistency Pipeline

## 1. Local environment setup

The following software needs to be installed first:
  * [Miniconda package manager](https://docs.conda.io/en/latest/miniconda.html)
  * [Git for Windows](https://git-scm.com/download/win) or standard Git in Linux (_apt-get install git_)
  * [PyCharm Community or Pro](https://www.jetbrains.com/pycharm/download/) with the [EnvFile plugin](https://plugins.jetbrains.com/plugin/7861-envfile) installed

Clone the repo now and prepare the package environment:

* On **Windows**, use Git Bash.
* On **Linux/Mac**, the use standard console 

```bash
$ git clone https://github.com/esure-dev/data-persistency-pipeline.git
$ cd data-persistency-pipeline
$ ./env-init.sh
```

When the environment setup is completed, update the `[PROJECT_ROOT]/.env` file with the appropriate values.

![alt text](docs/dotenv.png)

Now activate the Conda environment:

```bash
$ conda activate $PWD/.venv
```

or use a shortcut

```bash
$ ca
```

## 3. Important scripts

1. ```./pylint.sh``` - checks coding standards
1. ```./run_tests.sh``` - runs tests