Now more than ever jobs are becoming automated. It seems computers are even taking over some fields. But how? With Artificial Intelligence (AI). Computers are programmed to perform tasks that normally require human intelligence through Artificial Intelligence programming. This programming can direct a computer to behave similarly to humans and perform duties such as recognizing speech, translating languages, or making decisions.
Artificial Intelligence programming has evolved over time and new languages have risen in popularity. Programming developers have a variety of languages available to program AI. Three popular languages are Python, Java, and C++. Let’s get to know each other better.
Popular Artificial Intelligence Programming Languages
Python
Python is a general-purpose programming language useful for many domains. It is open-source and available to all. Data scientists and developers love it because it has a simple syntax and a simple set of language rules. Python is a good programming language for Artificial Intelligence because of its uncomplicated code that can easily handle many complex applications.
Java
Java is ranked among the top programming languages for AI. Like Python, Java is open source, but it has a more complex syntax system than Python. It is an object-oriented language and has a good speed of execution. Also, Java is a good programming language for Artificial intelligence because it has a long list of code libraries that contain a collection of machine learning algorithms.
C++
C++ is a general-purpose programming language like Python. Some C++ applications are open-source and easily accessible. It is chosen as an Artificial Intelligence programming language because it can manage high-level tasks. This makes it a good choice for large projects.
Programming Languages for Artificial Intelligence: Pros and Cons
Python
Pros
- Simplicity: Python is great for beginners because it is simple to learn. It is also simple to read. Its language code flows like human language making it a great gateway language for fledgling computer developers.
- Less Coding Needed: many predetermined packages are accessible, meaning program developers don’t need to spend a long time learning complicated code.
- Library Availability: plenty of pre-programmed material is available in the library to increase the speed at which coders can finish a project.
Cons
- Underdeveloped Database: Python’s database cannot handle large enterprise applications or software that can support a whole organization.
- Errors at Run-time: because the code in Python is given a type at run-time, there is more possibility of an error on the user side.
Java
Pros
- Compiled Type Check: because type check is performed in compilation, Java is quicker than Python.
- Multithreading Capability: it can simultaneously perform multiple tasks in a program.
- Security: this is built into Java by design making it a safe choice when data security is a concern.
Cons
- Complexity: Java is less accessible to beginners because it is a complex language. The learning curve is steeper in comparison and developers need a standard level of skills when coding with C++.
- Slow performance: while faster than Java, the speed is still less compared to C++.
C++
Pros
- Quick Run-time: C++ is the fastest of the three. This language is fast on the server side making large applications flow rapidly and effortlessly on the user side.
- Language Similarities: it is similar to other languages like Java. The syntax similarity helps a developer transfer their skills to C++. This makes C++ more accessible because it is an easy next step for developers to widen their skill set.
- Popularity: there is a wide amount of support for using C++ because of the number of people using the program.
Cons
- Complexity: with its advanced syntax, the language of C++ can be difficult to learn, making it not an excellent choice for beginners. Python is the best gateway language of the three.
- Code Writing Time: in C++, the type is determined in coding instead of Java’s run-time typing. This combined with the code complexity causes it to take longer to write.
Specific Usage of Artificial Intelligence Programming Languages
So, which is best? All three have great capabilities making them great options for programming AI. The purpose of the AI application will drive the choice of language used.
All three can create machine learning, which that is when a machine utilizes a set of algorithms to imitate human action. This gives it a simulated version of learning. Below are some additional types of programs that can be developed through each.
Python
- Mobile apps: the programmers of Instagram, Pinterest, and Spotify used Python to code these globally popular apps.
- Game development: games such as Battlefield 2 and Sims 4 were built with Python.
Java
- Neural networks: processors which are connected like neurons in the brain.
- Search Algorithms: a set of rules that controls the order a user sees a search.
- Genetic programming: a way to evolve Artificial Intelligence programs.
C++
- Game programming: Mortal Kombat 4 and Fortnite are popular games created with C++.
- Software development: C++ was used in writing the software for Google.
Whether you choose Python, Java, or C++, you will be selecting a well-tested and proven Artificial Intelligence programming language. Each has a community for support and a wealth of information online. If you would like to learn more about Willdom and our end-to-end programming solutions such as AI programming, visit our website or our LinkedIn profile.
