The 5 Reasons why creating games can help you be more productive when working on Python programming and machine learning projects!
“Success is not definitive, failure is not fatal: what counts is the courage to go on.”Playing Call of Duty: Modern Warfare
Since I was a little child, I have had a passion for gaming. The moment you realize you can combine your pastime with the field you also love to work in—in this example, artificial intelligence—is exhilarating and fantastic.
Even though I’ve always had a strong interest in games, I was on the fence and uneasy about programming. I didn’t start getting more interested in programming and artificial intelligence until a few years ago.
Over the years, these two technologies have substantially evolved and progressed. It is astonishing how quickly they have advanced in constructing a recreational history. The five reasons you should think about creating a game with Python and AI will remain the major focus of this post, even if AI in gaming is significant and magnificent in its own right.
I sincerely believe that all game developers who want to hone their coding abilities or even those who are just starting out, should get involved in creating a game from scratch. Even though the architecture is straightforward, you will learn many valuable skills along the way.
Technology developments, including the development of graphics processing units (GPUs), are one of the most important reasons for the evolution of artificial intelligence, particularly in the area of deep learning.
GPUs can carry out thousands of these tasks simultaneously, whereas CPUs can only do a few. For the sake of illustration, let’s say that a work that would normally take a CPU 2-3 hours to train may instead be finished by a good GPU in around 10 minutes.
Fortunately, these GPUs can also be used to play contemporary games efficiently.
