Many of us have had fun navigating the Flappy Bird through a bunch of obstacles, haven’t we? We all have played or are interested in mobile, PC, or PlayStation games. It is entertaining and stress-relieving. But, have you ever thought about how these games work?

Game development refers to the process of designing, developing, and releasing a game. It entails concept generation, design, construction, testing, and distribution. A game programmer brings a video game to life by writing code. 

This code controls everything from how fast your character runs and jumps to how many enemies appear as well as how they react when attacked.

Top 5 Reasons to Choose Python for Game Development

Hundreds of programming languages are available today, ranging from classics like C and C++ to recent additions like Ruby, C#, and Lua, as well as enterprise behemoths like Java. It is difficult to decide which language to use for game development. 

Python programming has become a common choice among game developers for rapid prototyping games due to its various game development frameworks.

Python is a real cross-platform language that works equally well on Windows, Linux/UNIX, Macintosh, and other platforms, from supercomputers to mobile phones. It can be used to create rapid prototypes and small applications. 

Before diving into the next section, ensure you’re solid on Python essentials from basics to advanced-level. If you are looking for a detailed Python career program, you can join GUVI’s Python Career Program with placement assistance. You will be able to master the Multiple Exceptions, classes, OOPS concepts, dictionary, and many more, and build real-life projects.

Instead, if you would like to explore Python through a Self-paced course, try GUVI’s Python Self Paced course

In this article, we will look at five compelling reasons to use Python for game development. 

#1 Easy To Use

Python is very easy and simple to learn for programmers who are already familiar with conventional languages. 

Loops, conditional statements, arrays, and other familiar constructs are all included and are simpler to use in Python. 

Though Python is simple to learn and use for analysts, it is versatile enough to solve even the most complicated problems in almost any domain.

Python has a simple syntax that helps even beginners to quickly learn Python and write code. 

The clean and readable syntax rules make it much simpler to keep the code base readable and the functionality maintainable. 

It also helps to debug code easily and helps in rapid application development.

#2 Best Features

Python is one of the most widely used programming languages due to its extensive library support. Modules for handling email, web pages, databases, operating system calls, GUI creation, and more are included in the Python standard library.

Python has a higher level of abstraction than most other programming languages. This is due in part to the way the language is designed and in part to the broad standard code library that comes with the Python distribution.

Python is an excellent cross-platform language. It runs on a variety of platforms, including Windows, Mac OS X, Linux, UNIX, and others. Being an interpreted language, it can run on any platform that has a Python interpreter, which almost all current platforms do. 

Python has many variants that operate on Java (Jython) and .NET (IronPython), allowing you to run it on multiple platforms.

Python has a clean and readable syntax hence it is well-suited for rapid application development. 

A single line of Python code can accomplish more than a single line of code in most other programming languages. This makes it easier to debug and manage Python codes.

#3 Constructing GUI 

Python provides a number of options for creating GUI (Graphical User Interface). The majority of game programming is controlled by this graphical user interface (GUI). All the desired functions of the game are performed within this window. 

The GUI interface window can be used in a variety of potential machine learning or deep learning projects, where you can use the interactivity you have achieved in a variety of ways to improve the design, style, and appearance of the game. 

The most widely used GUI toolkit is Tkinter. It is a standard Python interface to the Python-supplied Tk GUI toolkit. The fastest and simplest way to build GUI applications is with Python and Tkinter. 

Along with Tkinter, a range of other cross-platform implementations as well as bindings to individual platforms, are also among the many GUI frameworks (or toolkits) available for Python.

#4 Develop Games with Deep Learning 

Artificial Intelligence (AI) has a major influence on game development. Video game development studios are gradually turning to AI as a tool in the search for more realistic environments, captivating challenges, and exclusive content. AI learning algorithms can dynamically adapt to a player’s behavior.

All modern games are backed up by massive improvements and advances in the field of artificial intelligence, especially when it comes to enemy AI or non-playable characters (NPCs) in video games. 

Deep learning and reinforcement learning are critical in the advancement of Artificial Intelligence, allowing it to perform extremely complex tasks with ease, such as playing games with ease and hitting the desired finish line after several training iterations.

In Chess, Go, and other multiplayer strategy video games, state-of-the-art reinforcement learning implementations have been used to beat best-in-class human players.

#5 Python can handle Large Data Sets 

Python has numerous libraries like Pandas, NumPy and Sklearn which help it to handle large datasets easily. 

Pandas is a fantastic library for manipulating data tables. 

Its dataframe construct, similar to the R ecosystem, provides a very efficient workflow for data analysis. It is reasonably simple, has a lot of features, and is well-documented. It has developed itself as a vital tool for data scientists who use Python.

Dask is another Python library that helps in handling large datasets. It has been developed to run through several systems and is regarded as a parallel computing library. 

Dask uses multi-core CPUs to effectively perform parallel computations on a single processor. 

Kickstart your Data Science journey by enrolling in GUVI’s Python Career Program where you will master technologies like multiple exceptions, classes, OOPS concepts, dictionaries, and many more, and build real-life projects.

Alternatively, if you would like to explore Python through a Self-Paced course, try GUVI’s Python Self Paced course

Conclusion 

When it comes to game programming, it is vital to choose the right tool for specific tasks, so we need to be familiar with the features of the particular programming language. The more we understand the different programming languages available, the easier it will be to optimize the process of game development. 

Python has become an excellent choice for developers due to its various features and frameworks for game development.

 It is a great option for beginners and experts alike because it is simple to use, strong, and versatile. 

It is used by hundreds of thousands of programmers all over the world, and the number is growing every year. 

Through this article, we have enlisted five compelling reasons to learn Python to kickstart your game development journey.