This article will update you regarding the Is Python Relevant in AI and ML? Python is said to be the heart of AI and ML. Python plays a vital role in AI and ML field. AI and ML have become the basic need of the human lifestyle. It helps develop web development, segmentation, software application development, etc. Python has become the most demanding language.
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Python in AI and ML
Life has changed with the use of AI and ML. Developers and programmers choose Python when it comes to choosing one coding language with different options available. The reason behind selecting Python is that it is independent to use, friendly, solve complex problems quickly, and many more.
The main reasons for using Python in machine learning are as follows:
- Great Ecosystem of Libraries Python is the best option as it has different libraries compared to coding languages in the market. It is user-friendly, and beginners can learn quickly. It allows the user not to write the same code again. Therefore, it is time-saving.
These libraries are used to create applications and models for different fields, designing, visualising, Artificial Intelligence, Machine Learning, data science, data manipulation, and many more.
Here are some popular libraries for AI and ML:
- Pandas is an open source and is used for data analysis and also used for collecting data from external sources.
- Matplotib is used for designing charts, histograms, and data visualisation.
- Scikit-image is used in image processing.
- Flexibility
Python is the most flexible language, which makes it easily adaptable for AI and ML. You can make changes and get the result without the compilation process. It is independent and can be linked with another coding language to get the results.
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Platform Independent
It is easy to learn, even for beginners with no knowledge of coding language. It can be run on any operating system, such as windows, macOS, Linux, UNIX, android, and many more. While moving the process from one operating system to another, the programmer has to run small codes. It is both money and saving.
Different format for coding styles:
- Declarative programming: also known as Functional programming. It is worked on mathematical expressions, and the moto is what needs to be resolved and how.
- Object-oriented programming: It consists of a class and an object. Python partially supports this.
- Procedural programming –It works on performing tasks in a step-by-step manner. It is used for selection, modularisation, iteration, and sequencing.
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Few codes:
AI requires many algorithms to be applied. Python provides various libraries, so you do not have to code again. It also allows checking the code and making changes without compilation.
