What is Python?

Python is a general-purpose, versatile, and powerful programming language. It’s a great first language because it’s concise and easy to read. Whatever you want to do, Python can do it, from web development to machine learning to data science.

Why did Python gain so much popularity in the fields of AI, ML, and DL?

Python is the choice of language for every core Developer, Machine Learning Engineer, Data Scientist, and more. Let’s find out the reasons why Python is so popular in the fields of Artificial Intelligence, Machine Learning and Deep Learning.

From development to deployment and maintenance, Python helps AI, ML, and DL developers to be productive and confident about the software they’re building. Some advantages of using Python for Machine Learning and AI-based projects include:

Less Code

What makes Python unique and preferable is its simplicity in coding. A developer needs the least effort in coding when compared to Java and other Object-Oriented Programming (OOP) languages. When implementing AI solutions involves tons of algorithms. Python offers support for pre-defined algorithm packages which enables you to code freely as you go.

Access to best Packages and Libraries

Python has hundreds of pre-built libraries to implement various Machine Learning and Deep Learning algorithms. The prebuilt-libraries of Python such as Numpy for scientific computation, Scipy for advanced computing, and Pybrain for machine learning (Python Machine Learning), TensorFlow and PyTorch for Deep Learning making it one of the best languages for AI, ML, and DL.

iPython Notebooks

Interactive Python Notebook commonly referred as iPython Notebooks (.ipynb).It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. iPython Notebooks are widely used for interactive data analysis and data modelling.

Simple and Consistent

The simple and readable code of Python is appealing to many developers as it is easy to learn. This easy to understand feature of Python makes it easier for developers to build models for machine learning.

Platform Independent

To be able to work on multiple platforms including Windows, macOS, Linux, Unix, etc is one of the biggest advantages of Python. Developers are free to write and implement the code on one platform and then run it on another with minimal changes. Which means no major changes are required to migrate the source code. When it requires transferring the code from one platform to the other you can make use of a package such as PyInstaller that will take care of any dependency issues.

Community Support

Python has a huge community of users worldwide who are always helpful when you encounter coding errors. Apart from a huge fan base, Python has multiple communities, groups, and forums where programmers post their queries about the language and help each other. A few of such groups and communities are Python.org, Stack Overflow, and GitHub, etc.

Summary

Machine Learning, Deep Learning and Artificial Intelligence have a profound effect in the world we live in, with new solutions coming up day after day. Enterprises have realized that there is no better time than now to invest in these technologies. And therefore, learning Python or getting trained in Python is the need of the hour to start building applications and systems in it.

With its amazing features, Python makes the development process of Artificial Intelligence, Machine Learning and Deep Learning-based projects a lot easier, fast, and budget-friendly.