Kivy: Developing cross-platform apps with a unified codebase

Namrata Mukhija (~namrata72)


71

Votes

Description:

Kivy is a multi-platform application development kit, using Python. It runs on iOS, Android, MacOS, Windows, and Linux. Kivy enables you to build hardware-accelerated apps for multiple platforms and handles a lot of the back-end requirements for you. For things like where the mouse is, how a button should react when clicked, or, even how to manage multiple screens, Kivy has your back!

Our talk will cover five major areas:

  1. Introduction to Kivy: It will be focused on explaining the Kivy architecture
  2. Kivy Framework: An outline of Kivy’s elements - widgets, layouts and screens alongwith the KV language
  3. Dive in: A simple run through of rapidly developing your own Kivy app
  4. Walk-through of OSAVA: OSAVA is an app developed by us using Kivy. We'll be covering various Kivy elements and best coding practices through this example.
  5. Packaging your Kivy application: Get empowered with the freedom to write your code once and have it run as-is on different platforms

By the end of this talk, you will be able to

  • Understand, further explore, and possibly contribute to Kivy: An open-source Python library

  • Create and package applications for multiple platforms without changing the codebase.

Prerequisites:

  • Basics of Python

Content URLs:

  • https://github.com/kivy/kivy
  • https://github.com/osava-nsit/osava

Speaker Info:

  • Udit Arora - Udit is currently a software engineer at Microsoft IDC. He has been actively involved in development projects during his undergraduate years at NSIT. His area of interest includes Operating Systems, Computer Vision and Artificial Intelligence.

  • Namrata Mukhija - Namrata is a senior undergraduate majoring in Information Technology at NSIT. She has developed various projects, and is currently doing research at IIIT Delhi. She is also the Student Lead for the Google's Developer Student Club (DSC) program at her college. Her areas of interest include Deep Learning, Natural Language Processing, mobile development, and Software-defined Networks.

Speaker Links:

Section: Standard library
Type: Talks
Target Audience: Beginner
Last Updated:

Hi,

Please upload the talk presentation for review by the Pycon India team.

Thanks!

Gourav Chawla (~Gouravchawla)

Hi Gourav

Please let us know the last time and date for uploading the presentation of the talk for review. We will do it by this Sunday, in any case. :)

Thanks Namrata

Namrata Mukhija (~namrata72)

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