Project-Based Python Programming For Kids and Beginners [Video]

By Minerva Singh
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    Introduction to Project Based Python Programming
About this video

Coding for beginners and kids is now made exciting and easy. Learn to code fun games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).

This course helps you delve into the graphics and UX (user experience) aspects of Python. You’ll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you’ll get to grips with developing educational software. In addition to this, you’ll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.

By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners

Publication date:
December 2019
Publisher
Packt
Duration
5 hours 0 minutes
ISBN
9781800204782

About the Author
  • Minerva Singh

    Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.

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Project-Based Python Programming For Kids and Beginners [Video]
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