If you’re looking to dive into the world of Artificial Intelligence and Machine Learning, then Python should be at the top of your list. This high-level programming language has gained immense popularity among developers due to its simplicity, versatility, and ability to handle complex tasks with ease. In this blog post, we’ll explore the Top 5 reasons why Python is a perfect choice for AI and ML development. But first, let’s take a look at some basic facts about this programming language.
Basics of Python
Python is an interpreted, high-level, general-purpose programming language. It was created by Dutch programmer Guido van Rossum and released in 1991 to make coding easier and more accessible for beginners. Python is known for its readability and its ability to handle a wide range of tasks through its various libraries. It’s used in many applications ranging from web development to data science and machine learning.
5 main reasons why Python is the go-to language to delve into AI and ML development
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Great Data Library
Python has a great data library in the form of Pandas. This library provides high-performance, easy-to-use data structures, and data analysis tools and is used by many data scientists and machine learning engineers for data pre-processing, feature engineering, model training, and model deployment.
Overall, the language offers an excellent base in the form of pre-written codes. Hence, there is no need to develop new codes from scratch.
Apart from Pandas, the programming language also has other libraries such as Scikit-learn for clustering and image processing, Keras for deep learning and prototyping, NLTK for language recognition, and a lot more.
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Extremely Flexible Language
Python is an extremely flexible language. It can be used for a wide variety of tasks, from simple scripting to complex data analysis and machine learning. Moreover, when tweaking or testing the code, Python allows users to make the changes quickly and see its results, unlike many other languages which require complete recompiling of the source code after implementing every single change. This is why it is a staple in many AI and ML courses.
Python offers 4 styles of programming to choose from. These are:
- Imperative Style: Use commands to change the program’s state.
- Declarative Style: The problem and its solution are the focus rather than how it is solved.
- Object-Oriented Style:In this style, similar objects are clubbed to form classes. Object-oriented programming is greatly helpful for modeling real-world things.
- Procedural Style:It follows a step-by-step process. This style is ideal for newcomers and beginners. In procedural style, the tasks are placed in functions, each being executed as and when needed. Sequencing, modularization, and selection are the core aspects of procedural programming.
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Compatible With Multiple Operating Platforms
Python is a versatile language that can be used across multiple operating platforms. This means that developers can create applications for a wide range of devices, including Windows, Mac, Linux, and more. Python is also compatible with many popular development tools, making it easy to get started with coding.
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Easy to Read
Python is widely taught in AI and ML courses as it is one of the easiest languages to learn and read. This is due in part to its use of common English words and its relatively simple syntax. It is also easy to read because it is not as cluttered with symbols as some other languages. This makes it a good choice for people who are new to programming or who want to quickly learn a language for prototyping.
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Excellent Community Support
Lastly, the Python community is also incredibly supportive, with many resources available online to help developers get started with the language. This means there is extensive documentation available online. Therefore, any programmer who is stuck with a particular problem can go online and find solutions easily via videos, codes or forums.
Learn Python with PG Certification Programme in Business Analytics & Applications, IIM Tiruchirappalli
The PG Certification Programme In Business Analytics & Applications, offered by IIM Tiruchirappalli is a brilliant course to develop the basic foundation for analytics. Geared towards those who are looking to understand and parse through data to solve complex business problems, Python is a major part of the programme. A whole sub-module titled Python Programming for AI and ML is dedicated to the language, where basics such as how to run a Python programme with advanced coding applications will be discussed. The course also has a dedicated segment for Business Intelligence and Analytics with PowerBI and more. By enroll with Jaro Education for this course, you get the additional benefit of being a part of one of the most sought-after IIM Trichy Alumni.
Conclusion
Python is an excellent language for AI and ML development, due to its readability, simplicity, and vast array of libraries. The Python community is also incredibly supportive, with many resources available online to help developers get started with the language. Python is also a great choice for developing prototypes or for production-ready software due to its robustness and flexibility. With its large collection of libraries, it can be used for various tasks such as natural language processing, image recognition, and more. Python’s popularity in the world of AI and ML has only grown over the years, making it one of the most popular languages for these applications.
