Programming with machine learning is a growing concept in today’s AI-dominating world. Python has gained a significant share of popularity as the most widely used and preferred language for machine learning. Python pops up in every search when deciding which language to use for your model. The popularity of Python is strongly supported by its numerous features, which make it a top choice for programmers.
Why Is Python Used for Machine Learning?
Python is widely considered the preferred language for machine learning. It doesn’t let you get tangled up in complex coding; instead, it’s easy, simple, and fast, with many more features. It has easy syntax, multiple hands-on libraries such as NumPy, Pandas, and scikit-learn, a wide global community, is open source, has good compatibility with other technologies, and has scalability. All of these make it the favored choice over other available options.
What Is Python?
Python is a widely used, interpreted, high-level computer programming language. It is often the first interaction of beginners when they enter the world of programming. Python is not limited to one system; it works and operates smoothly on different systems such as Windows, Linux, and macOS. Python is considered a productive language among programmers because it is fast and easy to use. Its prototyping is quick because it runs the code as soon as it’s entered.
What are the uses of Python, and who uses Python code?
Python uses are endless across different fields. Data analysts and data experts use Python for data analysis and dataset organization. Python is used in research, business, and even medical sciences. The Python language is used for website and software development. Python is the top choice for machine learning and AI model training among programmers, as it offers many perks and delivers fast results. Python use is not limited to computer-related fields but also extends to medicine, research, pharmaceutical sciences, and more.
What Is the Reason for Python’s Popularity?
Python offers tons of advantages for programmers that make their lives easier, which is why its popularity is on the rise. Here are certain key features that make Python earn the throne of the most preferred language for machine learning:
- Easy-to-read syntax
Python offers simple, easy syntax. Syntax is a set of rules you need to follow while coding, just like you need grammar for writing English. That’s why many people say Python has an English-like syntax. This makes Python a first choice for an introductory course. With Python, you don’t need to work with complex colons and semicolons; instead, indentation makes code easier. With easy coding comes easy debugging. You can easily fix your code without losing many of your brain cells while coding with Python.
- Extensive Libraries
One of the features that wins hearts for Python is its huge collection of libraries, which keeps growing every day! Libraries are a ready-made set of code that makes coding simple, clean, and error-free. It saves you from the hassle of writing code from scratch, so you are not stuck with basic code. These libraries are also of multiple domains.
NumPy
It is for numeric data calculations and array creation.
Panda
It is known for its ability to manipulate and analyze large datasets.
Matplotlib
It is the numerical extension of NumPy and provides customizable data visualization in the form of charts, graphs, and more.
Scikit-Learn
It is known for its use in machine learning tasks, as it handles complex data.
Cross-Platform Compatibility
Cross-platform compatibility saves a lot of time and effort. It refers to an application’s ability to run on different operating systems without modification, and Python has this benefit. With this, you can use the Windows-coded application on macOS and Linux, and it will work the same. It provides significant advantages across multiple areas, such as group projects and research. In machine learning, your Python-backed model wouldn’t face the issue of being available only on specific systems.
FAQ’s
Why is Python used for AI if it’s slow?
Python is preferred over other languages such as Java and C++ because it’s simpler, easier to use, and faster for programmers. Even if it runs slowly, it still gets things done faster than other complex languages.
Can I learn ML without Python?
Yes, you can, but you will need a programming language for machine learning. Other options, such as R, Java, and C++, are more difficult than Python; hence, Python remains a worthy option for beginners.
Does NASA use C++ or Python?
NASA uses both languages, and the choice depends on the task at hand. Mostly, they use C++ for space-related tasks, such as programming Mars rovers. For data analytics on Earth, they use Python.
Why Is Python So Popular?
Python’s popularity is evident due to its advantageous features, including a wide range of libraries, easy-to-use syntax, strong community support, and adequate cross-compatibility.
Conclusion
Machine learning is a complex task. Using Python as a choice makes things much better. Python is widely considered the 1st choice because its features are hard to deny: it offers a clean, fast, and efficient coding experience with minimal effort.
Reference:
https://www.newhorizons.com/resources/blog/why-is-python-used-for-machine-learning
https://www.geeksforgeeks.org/machine-learning/why-python-is-used-for-machine-learning/
