twinpics

Introduction

Social Media Prediction Model

Installation

In order to get this package working you will need to install it via pip (with a Python3.5 version or higher) on the terminal by typing:

$ pip install twinpics

Additionally, if you want to use the latest version instead of the stable one, you can just use the following command:

$ pip install git+https://github.com/albMart/Twinpics.git@developer

The developer branch ensures the user that the most updated version will always be the working and fully operative so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).

Documentation

You can find the complete developer documentation at: https://twinpics.readthedocs.io/, hosted on Read the Docs and generated using sphinx with the theme sphinx_rtd_theme which is the standard Read the Docs theme for sphinx.

Usage

So as to use this Python package, a sample piece of code is presented below:

import twinpics

twinpics.sample_function()

So on, the previous piece of code outputs the following line:

"This is a sample function"

Contribute

As this is an open source project it is open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas. There is an open tab of issues where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that issues are not threads to describe multiple problems, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.

Citation

When citing this repository on your publications please use the following BibTeX citation:

@misc{
    twinpics,
    author = { Alberto Martín Mateos and Niloufar Shoeibi },
    title = { twinpics - Social Media Prediction Model },
    year = { 2020 },
    publisher = {GitHub},
    journal = {GitHub Repository},
    howpublished = {\url{https://github.com/albMart/twinpics}}
}

This repository has been generated using pypackage-cookie made with love by @alvarobartt

Metadata

Release files for twinpics 0.0.209

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for twinpics 0.0.209
File	Size	Uploaded
twinpics-0.0.209.tar.gz	23.5 kB	Dec 1, 2020	Details

Release files / twinpics-0.0.209.tar.gz

Download URL	twinpics-0.0.209.tar.gz
Size	23.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`b2995efdf5934ae24d80fa57124bc7cf2302820c7eade56b4a59f6b4c5a96b96`
BLAKE2b-256 checksum How to use checksums	`6d39008e86255da45338e42417777a43257937171180a9eaf0a95e4823bd10c3`
Upload date	Dec 1, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.5`