Have you been looking for the language you need to choose for your next Artificial Intelligence and Machine Learning project? Well, the choice of language depends on various factors like the ease of code, availability of the developers, personal preference, etc. While executing any new project, the skills of the developer matters the most than any language. Yet, the business leaders need to choose one to outsource their project.
Having so many discussions and forums online, the problem is still not solved. The below list may include C#, Java, Python, LISP, Prolog and a few more. Now, let’s know more about why Python used for AL and ML in detail.
Python
Python is a high-level, OOPs based programming language. Python for Machine Learning is a robust highly used language, which is focused on rapid application development and doesn’t repeat you. This works great as a glue language and is also to connect to the existing components together. Due to the ease of scalability, learning, and adaptability of Python, this has been the fastest-growing language.
Why Use Python for Artificial Intelligence and Machine Learning?
Whether it is a startup or an MNC, Python Development provides a vast list of benefits to all. This Python can be limited to only a single activity. The increasing popularity has allowed it to enter into some of the well-liked and complex processes like Python in Artificial Intelligence, Machine Learning, data science, natural language processing, etc. Why is Python gaining such momentum in Artificial Intelligence Development? Why Hire Python Developers? Here is why:
Prebuilt Libraries
Python for AI and Machine Learning consists of a lot of libraries for all the needs of your project. A few names include Pybrain for machine learning, Scipy for advanced computing, Numpy for scientific computation, etc.
Support
Python has a great community and it is complete an open-source language. A host of resources are available that enables developer to speed up in no time. There is also a huge community of active coders who wish to assist programmers in every stage of the development cycle.
Popularity
Python for machine learning development is winning the heart of Millenials. The simplicity of its learning attracts a lot of people to learn this language. Though, these projects need a highly experienced Python programmer can smoothen the learning curve. It is very easy to look for the Python developers rather than hunting for LISP or Prolog programmers which are particularly in a few nations. The ever-developing and improving code of its active community and extended libraries have led to be one of the hottest languages today.
Flexibility
This is one of the core advantages of Python. Python is best-suited for all-purpose with the option to choose between OOPs approach and scripting as this works as a perfect backend and is suited to link various data structures together. The option of checking a majority of code in the IDE is the biggest advantage for the developers who are still struggling between different algorithms.
Platform Independence
Python is very versatile as Python for machine learning development can run on any platforms that include Linux, UNIX, Windows, MacOS and twenty-one others. Developers have to implement several small-scale changes to transfer the process from one platform to another and also to modify a few lines of code to create an executable form of code for the platform chosen. Developers can use the packages like PyInstaller to prepare their code for running on various platforms.
Less Code
Artificial Intelligence includes a lot of Algorithms. Python provides ease of testing which is one of the best among the competitors. This also helps in the execution of codes and ease of writing. Python implements the same logic with 1/5th code while compared with the OOPs languages.
A Low Entry Barrier
Working with the AI and ML industry means dealing with a bunch of data required to process in an effective way. This low entry barrier lets more data scientists pick up Python quickly and start using the same for AI development without wasting too much time and effort on understanding the language.
Python programming language is similar to the everyday English Language which makes the process of leaning easy. The simple syntax lets you work comfortably with the complex systems which make sure of the clear relations between the system elements.
Readability
Python is very easy to read and understand and hence all the Python developers can recognize the code of their peers and change, share or copy the same. There are no any confusions, errors or conflicting paradigms. This will lead to a very efficient exchange of ideas, algorithms, and tools between ML and AI professionals.
There are tools like Ipython which is an interactive shell that provides a few extra features like debugging, testing, tab-completion, and others, and this facilitates the work process.
A Better Visualization Options
Python provides a variety of libraries and a few of them are great visualization options. For the AI developers, however, it is important to highlight that in the AI, machining learning and deep learning it is vital to be able to represent the data in a human-readable format.
Libraries like Matplotlib lets the data scientists build histograms, charts, and plots for better data comprehension, visualization, and effective presentation. Moreover, the various application programming interfaces simplify the visualization process and this makes it easier to create clear reports.
Community Support
Hire Python Development for an open-source language as there are a bunch of resources that are open for the programmers starting from the beginners to the ending with pros. Also, whenever there is a strong community support built around the programming language, it is always helpful. Various Python documentation is available online and also in the Python communities and forums.
Moreover, this is where the programmers and the ML developers discuss the errors, help each other out and solve the problems. Python programming language is free of cost due to the variety of useful tools and libraries.
Increasing Popularity
Python is becoming very popular among data scientists. This means it is easier to search for the developers and replace team players if necessary. The cost of their work also may not be as high as while using a less popular programming language.
The open-source nature of Python allows any AI development company in order to share the achievements with the community. If you have decided and made up your mind in learning Python or want to use this language for all your AI projects, Zulip, OpenCog Foundation, Institute of Artificial Intelligence, MailPile, Magenta, etc are the list of useful open source projects for you to start with.
Conclusion
Machine Learning and Artificial Intelligence are the fastest-growing universal technologies. These allow scientists to resolve real-life dilemmas and come up with all the clever solutions. The reason why Python is considered the perfect programming language has a lot of advantages. Apart from that, accurate predictions and insights delivered by Artificial Intelligence improve business efficiency. It further helps with increased productivity and lower production cost.
The above factors decrease the possibility of errors, as the programmers have a chance to take the situation under control and work in a better environment for the ultimate comfort. No wonder most of the industries apply ML and AI to improve the performance and propel the product development. To put it shorter, AI assists in doing the work with fewer efforts, which is the best thing of all in any scenario.
Mihir Mistry
CEO
by Sanjay kidecha
by Manav Patel
by Sagar Bagasariya
by Drashti Pandya
