Did You Realise Why Python for AI and Machine Learning Is Becoming Popular now?
The current age is the age of automation, personalization, smart devices, and digitization. If you use your phone daily, you must have seen countless ads. The cool thing about these ads is that they are curated based on your search preferences.
Some cool facts about Python!
- 1. Some functions in Python can return multiple values as compared to Java and C.
- 2. A Python file is stored as a .pyc file which acts as a dynamic engine eliminating the need for a compiler in Python.
- 3. You can easily implement the “else” clause within the “for” loop in Python.
- 4. Python has a variant in both C and Java.
- 5. The Zen of Python is an immortal prayer written about Python.
Why is Python favored for AI and Machine Learning?
A plethora of libraries
One of the prime reasons for choosing Python for AI and machine learning development services is the libraries. Unlike other programming languages, Python has countless libraries that can be used for various applications.
- Pandas: As mentioned, Pandas is a library that is used for high-level data computation and analysis. Big data analysis is powerfully backed by Pandas. You can collect, filter, merge and even import data from excel.
- TensorFlow: Machine Learning also has a subset named deep learning. The technology is primarily used in AI applications and deals with utilizing artificial neural networks for big datasets.
- Matplotlib: To make it easy for you to visualize data in various forms like charts, histograms, 2D plots, Python provides you with Matplotlib.
Community
Python has great community support. Whether you are a developer or a Python enthusiast, you can easily search for answers to your questions on the internet. There are a large number of Python development companies that offer their services as well as online communities where developers share their code.
So, these are some of the top reasons to use Python for AI and Machine Learning. There are many others such as:
- 1. Fast learning curve
- 2. Less coding
- 3. Versatility
- 4. Speed
As per stats, there are around 8.2 million Python developers in the world. Moreover, Python stands at number three after Javascript and HTML in terms of the maximum number of developers. These stats clearly prove that Python is highly demanding. Moreover, the above-mentioned feature raises its preference.
Originally Published by https://www.inexture.com/6-reasons-why-python-can-ace-ai-and-machine-learning-applications/
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