Developers
June 16, 2020

Is Python the Best Language for AI and ML?

Python, a simple yet powerful programming language. Highly Efficient for AI purposes.

What are some programming languages for Artificial Intelligence and machine learning? What are their relationship to AI and Machine Learning? It there any language that is better for this than others? Let's find out!

There are five languages that can be used to program machines to think in a human form. These are: Python, R, Lisp, Prolog, and Java. First things first, let's start by analyzing each one of them and their relationship to AI so we can help you understand what's the best choice.

  1. Python

Python is considered one of the most simple programming languages yet effective. Its simplicity allows many developers to tap into this programming language with no certain difficulty. It is a language that is not hard to learn at all. The development time is shorter than other programming languages. Libraries are extensive and the language is being used for AI and ML worldwide.  

2.    R

R is considered the most effective language for statistical use. It includes mathematical symbols and formulas. It counts with many packages like RODBC, Gmodels, and Class. The packages are mostly used for Machine Learning purposes. The programming language is based on a mathematical side, facilitating useful AI functionalities. It is majorly used for business purposes.

3.    Lisp

Lisp is a language invented and developed by John McCarthy the named father of AI. It is a language known for its capacity to manage symbolic information. It is easy to prototype and allows for dynamic creation. With the pass of the years, the program has been modified and updated. Many choose this program because of who invented it. It is the second-oldest high-level programming language, following Fortran.

4.    Prolog

This language comes with many rich features and functionalities. It provides pattern matching, tree-based data structuring, and backtracking. The framework is powerful and flexible. It is mostly used for medical purposes and some use it for AI purposes too.

5.    Java

Java, one of the most used programming languages in the world for every use case, applies to AI also. It is considered a good option because of its search algorithms. Java allows the developer to build applications in an easy way. It's easy to use and it makes it easier to debug. It comes with many packages and it works by simplifying large projects. It counts with toolkits that make the GUI and the interfaces very attractive.  

Based on the complexity of other languages compared to Python, and the efficiency of it, it is the most recommended language to use for AI development. Following next, we will describe in detail how python applies to AI.

Python is being chosen by the biggest AI companies in the world. It is working for AI as well as for Data Science. This programming language helps turn data into data that can be visualized. You can use other languages too, but there's no language yet developed that beats the flexibility and simplicity of Python.

in code, as in life, the simpler, the better. Based on a survey done in 2019 by the Business Broadway, 3 out of 4 Data Scientists are asked to learn python before starting the job.

Python is built based on inbuilt libraries. Companies and developers choose this language because it has an extensive offer of frameworks and open source libraries. The most used libraries are Tensorflow and Pylearn2.  

Another factor that makes people choose Python over other languages is that it's implementation and set up is easy. It also counts with a huge community.

Despite Python is considered an easy language, that doesn't mean it's not powerful. It's simplicity it's one of the facts of why it is so powerful and useful. Python's code is 10 times shorter to write and even more times shorter to debug than any PHP or Java code. The same things can be accomplished in less time and with more focus on each task.  

Python released Numerical Engines, named Panda and Numpy. They help to process data by sourcing it one at a time. With these inclusions of Python, one can manage data in the most efficient way up to date.  

In conclusion, today we have seen how despite there are many programming languages that may be suitable for AI purposes, the chosen language and the most used in the world, is Python. It may sound a little bit strange that the simplest programming language is the most used, but if you pay attention, it not only applies to AI, but to technology and business processes itself. It has more weight to develop simply rather than sophisticated.  Python is being used for Intelligent chatbots, Automatic messaging systems, AI-powered Virtual Assistants, among other services. Before choosing the most used language, make sure it adapts to your needs, if for some reason you need to use another language, go ahead! But with the countless frameworks and libraries powering Python, the chances are, it can help you develop awesome AI applications.

TagsPythonAIMachine LearningJava
Lucas Bonder
Technical Writer
Lucas is an Entrepreneur, Web Developer, and Article Writer about Technology.

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DevelopersJune 16, 2020
Is Python the Best Language for AI and ML?
Python, a simple yet powerful programming language. Highly Efficient for AI purposes.

What are some programming languages for Artificial Intelligence and machine learning? What are their relationship to AI and Machine Learning? It there any language that is better for this than others? Let's find out!

There are five languages that can be used to program machines to think in a human form. These are: Python, R, Lisp, Prolog, and Java. First things first, let's start by analyzing each one of them and their relationship to AI so we can help you understand what's the best choice.

  1. Python

Python is considered one of the most simple programming languages yet effective. Its simplicity allows many developers to tap into this programming language with no certain difficulty. It is a language that is not hard to learn at all. The development time is shorter than other programming languages. Libraries are extensive and the language is being used for AI and ML worldwide.  

2.    R

R is considered the most effective language for statistical use. It includes mathematical symbols and formulas. It counts with many packages like RODBC, Gmodels, and Class. The packages are mostly used for Machine Learning purposes. The programming language is based on a mathematical side, facilitating useful AI functionalities. It is majorly used for business purposes.

3.    Lisp

Lisp is a language invented and developed by John McCarthy the named father of AI. It is a language known for its capacity to manage symbolic information. It is easy to prototype and allows for dynamic creation. With the pass of the years, the program has been modified and updated. Many choose this program because of who invented it. It is the second-oldest high-level programming language, following Fortran.

4.    Prolog

This language comes with many rich features and functionalities. It provides pattern matching, tree-based data structuring, and backtracking. The framework is powerful and flexible. It is mostly used for medical purposes and some use it for AI purposes too.

5.    Java

Java, one of the most used programming languages in the world for every use case, applies to AI also. It is considered a good option because of its search algorithms. Java allows the developer to build applications in an easy way. It's easy to use and it makes it easier to debug. It comes with many packages and it works by simplifying large projects. It counts with toolkits that make the GUI and the interfaces very attractive.  

Based on the complexity of other languages compared to Python, and the efficiency of it, it is the most recommended language to use for AI development. Following next, we will describe in detail how python applies to AI.

Python is being chosen by the biggest AI companies in the world. It is working for AI as well as for Data Science. This programming language helps turn data into data that can be visualized. You can use other languages too, but there's no language yet developed that beats the flexibility and simplicity of Python.

in code, as in life, the simpler, the better. Based on a survey done in 2019 by the Business Broadway, 3 out of 4 Data Scientists are asked to learn python before starting the job.

Python is built based on inbuilt libraries. Companies and developers choose this language because it has an extensive offer of frameworks and open source libraries. The most used libraries are Tensorflow and Pylearn2.  

Another factor that makes people choose Python over other languages is that it's implementation and set up is easy. It also counts with a huge community.

Despite Python is considered an easy language, that doesn't mean it's not powerful. It's simplicity it's one of the facts of why it is so powerful and useful. Python's code is 10 times shorter to write and even more times shorter to debug than any PHP or Java code. The same things can be accomplished in less time and with more focus on each task.  

Python released Numerical Engines, named Panda and Numpy. They help to process data by sourcing it one at a time. With these inclusions of Python, one can manage data in the most efficient way up to date.  

In conclusion, today we have seen how despite there are many programming languages that may be suitable for AI purposes, the chosen language and the most used in the world, is Python. It may sound a little bit strange that the simplest programming language is the most used, but if you pay attention, it not only applies to AI, but to technology and business processes itself. It has more weight to develop simply rather than sophisticated.  Python is being used for Intelligent chatbots, Automatic messaging systems, AI-powered Virtual Assistants, among other services. Before choosing the most used language, make sure it adapts to your needs, if for some reason you need to use another language, go ahead! But with the countless frameworks and libraries powering Python, the chances are, it can help you develop awesome AI applications.

Python
AI
Machine Learning
Java
About the author
Lucas Bonder -Technical Writer
Lucas is an Entrepreneur, Web Developer, and Article Writer about Technology.

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