Can python be used as a game assistant?

It depends on whether you have the foundation. If you are self-study, your personal learning ability and mastery level are different, and the time may be long or short. It may be about a year or longer.

Different game engines use different programming languages. Currently, unity3D and Unreal 4 are widely used in the industry. The former is C# and the latter is C++. Professional training in each direction takes about half a year. In addition to professional knowledge, there is also project training, which is more efficient than self-study.

The system learning process is divided into three stages:

The first stage is to learn basic programming syntax. The difficulty of learning at this stage is It’s not that big. Even if most beginners don’t have any programming foundation, they can usually become familiar with the basic syntax of a programming language in 8 to 12 weeks. If you want to improve your learning efficiency at this stage, you should pay attention to two things. One is to pay attention to doing more experiments, and the other is to pay attention to communicating with technical experts.

The second stage is to formulate a learning plan around the main direction of attack. Different main directions of attack require different knowledge structures, because the programming language itself is A tool. If you want to deeply master a programming language and use it, you must have a main direction. Taking the Python language as an example, beginners can formulate a study plan based on the direction of Web development, while beginners with a solid foundation in mathematics can also formulate a study plan around the direction of data analysis.

The third stage is the practice process. Practice usually revolves around scenarios. Different development scenarios often require mastering different technologies. At pre sent, as the Internet gradually covers from the consumer side to the industrial side, development scenarios are also constantly expanding. Currently, based on technology platforms such as cloud computing, big data, and artificial intelligence, a larger space is gradually opened up for the application of programming languages.