Artificial intelligence is becoming more similar in the modern world, where everything is driven digitally and automated. Smart devices are a large part of our daily lives. You can use it to do things like Biometric or search for information on the internet. Or convert spoken words into text. Artificial intelligence is at the heart of all of this, and it’s becoming an integral component of our rapidly changing lifestyle. Also read about raspberry pi 4.
It’s possible that you are obsessed with AI. You want to know everything about the development of AI. I will give you a comprehensive overview of Python, the most popular programming language for AI.
Some programming languages for Artificial Intelligence are
- Python: Python is an extremely efficient language. Your programs will accomplish more with fewer lines than other languages. It will be easier to read, debug, and extend the code than other languages.
- Java: Java is a widely used programming language for general-purpose purposes that allows programmers create desktop and mobile applications. It’s designed to allow programmers to “write once, run anywhere”, meaning that code can be implemented once but can run on all types of hardware and operating system without the need for recompilation.
- Prolog: This language was inspired from logic programming research. Logic programming allows the computer’s to take its own decisions according to the terms provided and programmed by the coder. This is possible thanks to formal or mathematical logic.
- C/C++ is one of the most common and commonly used programming languages for computers. C Programming is primarily used by programmers or software developers. It also works well with the operating system, UNIX and C compiler. It is clear that the C programming language has become the most popular professional language in the computer world. C++ can be compiled. A compiler must process the source text of a program in order to make it run. This produces object files that are then combined with a linker to create an executable program. C++ programs typically have many source code files.
The Benefits of Python over Other Programming Languages to AI
- High quality documentation.
- Platform independent, available in almost every *nix distribution.
- It is useful for a wide range of programming tasks, from small shell scripts to complex business applications to scientific purposes. It is easy to learn and faster than any other OOP language.
- Python is a well-designed, robust, portable and fast programming language. These are the key factors in AI applications.
- Python has many image-intensive lib’s such as Numeric Python, Python Image Library, VTK, Maya 3D Visualization Toolkits, and Python Imaging Library. There are also many other tools that can be used for scientific and numeric applications.
- It is open source
- Platform, The best community support for the same.
Python Libraries to AI
- pyDatalog: Datalog is a declarative language that is derived from prolog. pydatalog, on the other hand, is a logic programming engine in Python.
- SimpleAI – Python implementations of many of AI algorithms described in the book “Artificial Intelligence, a Modern Approach”. It is designed to be easy-to-use, well-documented and tested.
- AIMA – Python algorithm implementation based on Russell and Peter Norvig’s ‘Artificial Intelligence : A Modern Approach’
- EasyAI – A simple python engine for two-player games with AI (Transposition tables and Negamax), game solving
Conclusion
Python is a key player in AI. It provides Python with excellent frameworks such as Scikit-learn Python for machine learning which processes all needs in this field, and D3.js Data driven Documents JavaScript which appears to be the most simple and powerful tool for visualization.
