Top 6 Reasons to Choose Python for Machine Learning

Whenever a developer is assigned with a machine learning project, he might get confused that which programming language she should use for implementation? There are various programming languages available such as LISP, Prolog, Java, C#, Python, etc., the developer can select any of these programming languages as per their choice. However, there are a lot of other factors which should be considered to choose a programming language, for example, ease of code, developers availability, or personal preference. The project leaders have to select any one language for subcontracting or hiring their machine learning project, but the developer’s skills matter a lot more than any language. Many conversations happen regarding the selection of programming languages, but it is still unclear to choose the perfect programming language for machine learning projects. Nowadays, Python programming language is one of the most popular programming languages, and due to its various features, it becomes a choice of every programmer. Most of the developers are attracted towards Python programming language and started using it for implementing their machine learning projects. So let us learn about Python programming language and know the reasons why it is the best programming language for machine learning project development.

Attend live webinar on Machine Learning with Python

What is Python Programming Language?

Python is an object-oriented and high-level programming language with combined dynamic semantics which is utilized mainly for web and application development. It is beneficial and robust programming language which primarily highlights Rapid application development, i.e., RAD. Python is comparatively simple and easy to learn as it needs an exclusive syntax which emphasizes more on readability. It is easy for the developers to read and translate Python code than any other languages, this decreases program maintenance cost and development as it enables the team to work together without strong language and experience obstacles.  Python programming language supports the usage of modules and packages; this means that the program can be developed in a modular way and code can be reused in various projects. Once a module or package is developed, it can be used in other projects. Also, it is much simpler to import and export these modules. In Python, the standard library and the interpreter are available without any charge, including both binary and source method. Python and the other essential tools are available on all major platforms. Thus, Python is an attractive option for those developers who do not concern paying high development costs.

Features of Python Programming Language: Let’s have a look at the fantastic features of Python programming language.

1. Python language is easily understandable and readable.
2. It is user-friendly and high-level programming language and also easy to learn and use.
3. Python is a portable language because it can run on various platforms like Windows, Linux, Unix, etc.
4. Python supports for object-oriented language and that’s why concepts of classes and objects come into reality.
5. Python is an interpreted language, i.e., Interpreter executes the code line by line at a particular time. Due to this, the beginners can easily debug the code.
6. There is an extensive and wide python library available which provides a rich set of functions and modules for rapid application development.
7. It is easy to develop graphical user interface using Python.
8. It is easy to integrate Python programming language with other programming languages such as C, C++, JAVA, etc.
9. Python is a free and open source language.
10. Python programming language is extensible which means that languages such as C and C++ can be utilized to compile the code and therefore it can be used further in Python code.

Why is Python used for Machine Learning?

Python programming language offers a massive list of benefits to everyone starting from a small size business to large size businesses. The Python usage is not limited to only a single activity. Because of its increasing popularity, the Python language can quickly enter into some of the complex and most common processes such as data science, artificial intelligence, machine learning, natural language processing, etc. Python programming language is used in machine learning due to the following reasons:

1.Support: Python programming language is entirely an open source language with the great help of developers community. There is a lot of host of resources available which can acquire any developer for fixing the issues as quickly as possible.  Also, there is a gigantic network of Python developers who are ready to help other developers in different phases of their development life cycle.

2. Pre-built Libraries: There are a lot of pre-built libraries available in Python programming language which satisfies every requirement of your machine learning project. The libraries are very much necessary when you are working on more significant projects. It will be beneficial to save time and cut down on the initial development cycle. Python has an outstanding collection of libraries such as NumPy for scientific computation, Scipy for advanced scientific computation and Pybrain for machine learning and Django for web development. There are also a few libraries with more emphasis such as scikit-learn, this inbuilt library is used for machine learning applications and nltk for natural language processing. There are library-like tools which provide cross-platform support and has a massive benefit. With the help of these prebuilt libraries, the developers can save a lot of time in project implementation. If anyone doesn’t seem aware about these libraries, then it is better to hire Python developers who know these.

3. Platform Agnostic: With Python, developers are flexible to offer an API from the current programming language, which turn out to be very flexible for the new Python developer. Python is platform independent as well. By making few changes in the source code, it is easy to get your app up and execute it on a new operating system; this will help the developer to save his time for testing the code on various platform and transferring the source code. Thus it is recommended to hire experienced Python developers to make machine learning project best one among all.

4. Flexibility: Python language has provided several benefits, flexibility is one of them. Python is appropriate for every purpose; it has an option to choose between the object-oriented approach and scripting. It works as a perfect back-end language, and it is also possible to associate different data structures together in Python. Additionally, in Python, there is an option of verifying the majority of code in the IDE itself, which is a big advantage for developers who find difficulty in implementing algorithms.

5. A lesser amount of Coding: We know that machine learning contains several algorithms and it is sometimes difficult for the developers to implement them all. Python programming language offers a comfortable testing environment which makes it one of the top programming language between developers and programmers. With the help of Python Programming Language, it is possible to write and execute all the codes quickly and efficiently. As compared to other languages such as Object-oriented based programming languages, Python can implement the similar logic with as much as one-fifth of the code. Due to this reason, Python language has become the first choice of most of the businesses for machine learning projects.

6. Popularity: Nowadays, Python programming language is gaining more popularity between million developers worldwide. Python language is easy to learn, and so it is fascinating the new developers and programmers to learn and use this programming language for their projects. Although, machine learning projects should be developed by experienced developers however Python is a smooth learning platform. Instead of hiring multi-programming developer, it is much easy to employ Python developers. Python has become a newest trending languages today due to its dynamic developer community and prolonged libraries with enhancing source code and ever developing language.

There are a few more reasons which make Python more popular in recent years:

• Python has some Great Business Sponsors: It is very helpful to have a Business sponsor for a programming language, for example, Java has Sun, C# has Microsoft, and Facebook utilizes PHP. Similarly, a few years back Google accepted Python, and they have used it for different platforms and applications. This is required because if the organization wants their team and future developers to work with their applications and systems, they have to provide resources. Google has created a wide range of tutorials and guides to work with Python.
• Python has Big data: Python has become more successful with the usage of big data and cloud computing solutions. It is one of the most popular languages used in data science and now it is also being used for implementing machine learning and AI projects. Big data and cloud computing also helped Python so that it became extremely easy to analyze and arrange into usable data.
• Python is reliable and Efficient: Developers or any other who have used Python, feels that it is prompt, consistent and efficient language. Python application can easily work and deploy in any environment. It is multipurpose language which means that you can also work across different domains including Web development, desktop applications, mobile applications, etc.

Want to know More about Machine Learning with Python? Click here

Conclusion:

Presently, Machine Learning algorithm is becoming very complicated. Python programming language is easy to implement and thus becoming developers first choice for implementing machine learning algorithms. The line of codes is shorter in Python due to which developers feel it an easy and simple way of coding. Also, Python programming language has numerous inbuilt libraries which makes the machine learning projects much innovative. If the candidate is not much experienced in Python programming language, then it is recommended to hire Python development companies which provide help in carrying out the machine learning project in Python successfully.