Why Python is Best for Machine Learning?

Python is the best language for machine learning for several reasons. First, Python has a clear syntax. Second, it makes the manipulating text extremely easy. A lot of people and organizations use Python, so there’s a lot of development and documentation. In this article, I’ll tell you why Python is the best language for machine learning.

Here is Why Python is Best for Machine Learning

Executable Pseudo-Code

Python’s clear syntax has earned it the name of pseudo-executable code. The default Python installation already contains high-level data types like lists, tuples, dictionaries, sets, queues, etc., which you don’t have to program yourself. These data types in Python makes it very easy to implement abstract concepts.

Also, Read – Predict IPL winner with Machine Learning.

With Python, you can program in any style you know: object-oriented, procedural, functional, etc. With Python, it is easy to process and manipulate text, which makes it ideal for processing non-numeric data.

You can get by in Python with little or no use of regular expressions. There are several libraries for using Python to access web pages, and the intuitive text manipulation makes it easy to extract data from HTML.

Python Is Popular

Python is popular so there are plenty of examples available which makes it easy to learn. Second, popularity means that there are many modules available for many applications. Python is also popular in the scientific and financial communities.

Several science libraries such as SciPy and NumPy allow you to perform vector and raster operations. These libraries make the code more readable and allow you to write code that looks like linear algebra. In addition, the SciPy and NumPy science libraries are compiled using lower-level languages; this makes calculations with these tools much faster.

Python also has an interactive shell, which allows you to view and inspect elements of the program as you develop it. A new module for Python, called Pylab, seeks to combine NumPy, SciPy, and Matplotlib into a single environment and installation. At the time of writing, this has not yet been done but holds great promise for the future.

What Python has that Other Languages Don’t

There are high-level languages ​​that allow you to do matrix math like MATLAB and Mathematica. MATLAB has a number of built-in features that facilitate machine learning. MATLAB is also very fast.

The problem with MATLAB is that its legal use will cost you a few thousand dollars. There are third-party add-ons for MATLAB but nothing on the scale of an open-source project.

There are matrix math libraries for traditional languages ​​like Java and C. The problem with these languages ​​is that it takes a lot of code to make things simple. First, you have to type in variables, then with Java, it seems like you have to write setters and getters every time you sneeze. Don’t forget the sub-classification. You should subclass the methods even if you are not going to use them.

In the end, you wrote a lot of code, sometimes tedious code to do simple things. This is not the case with Python. Python is clean, concise, and easy to read. Python is easy to grasp for non-programmers. Java and C are not that easy to understand and much less concise than Python.

Python is a higher-level language; this allows you to spend more time understanding data and less time worrying about how a machine approaches data. Python makes it easy for you to express yourself effortlessly. I hope you liked this article on why Python is the best language for machine learning. Feel free to ask your valuable questions in the comments section below.

Also, Read – Generators in Python Tutorial.

Follow Us:

Default image
Aman Kharwal

I am a programmer from India, and I am here to guide you with Data Science, Machine Learning, Python, and C++ for free. I hope you will learn a lot in your journey towards Coding, Machine Learning and Artificial Intelligence with me.

Leave a Reply