Here’s Why You Need To Leverage Python for AI & Machine Learning

Python is one of the immensely popular programming languages in the field of AI and machine learning. As per the survey reports by Kaggle 90% of the machine learning engineers use python. Top tech giants are using python to work on machine learning and artificial intelligence in order to build more effective products. It is also used by organizations to improve work processes and work more efficiently. Some of the major reasons that make python the right choice for AI software development are easy syntax, an extensive set of libraries, simple code, platform independence, and a lot more.

In this blog, we will discuss in detail why leverage Python for artificial intelligence and machine learning. But first, it is essential to understand the demand for AI & machine learning. So let’s get started.

The demand for AI & Machine Learning

With digitalization, there is a huge amount of data generated which has led to a rapid increase in demand for AI & machine learning. As per the reports by Fortune Business Insights, the expected value for the global machine learning market is expected to reach $117.19 billion by 2027. So the demand for AI & machine learning is increasing rapidly. That makes it really crucial to choose the right programming language for AI and ML. Read the next section to discuss why choose python for AI and ML.

Why Leverage Python – AI & Machine Learning

Python programming language provides a well-structured environment to transform your idea into reality. Also, it provides enhanced flexibility and takes less time which makes it the right option for AI software development. Some of the major reasons to leverage python for artificial intelligence and machine learning are mentioned below:

• Consistent and easy syntax

  Python has consistent and simple code that is appealing to many developers as it is easy to learn. The code is understandable to humans which makes it easy to build machine learning models. Python is suitable for collaborative implementation when multiple developers are involved. Also, it is used to carry out complex machine learning tasks and test machine learning models quickly.

• An extensive set of libraries

  Python has an extensive set of extraordinary libraries that make it the best option for AI software development. The Python library is a collection of related modules that contain bundles of code to be used repeatedly in different programs. It makes Python code simpler and more convenient for the programmer. The standard python library consists of 200 core modules. All these work together to add functionalities to Python. But apart from this, there are several other Python libraries for machine learning and AI. Here are some of them.

  • Numpy is used for scientific calculations. It supports large metrics and multi-dimensional data.
  • TensorFlow is used for high-level numerical computations. It is also used for machine learning and deep learning operations.
  • Pandas are used for data analysis. It is used for operations like sorting, data conversions, iteration, etc.
  • Scikit-learn is used for handling machine learning algorithms.
  • SciPy is an open-source library used for high-level scientific computations.
  • Natural language toolkit(NLTK) is used for working with natural language recognition and processing.

So till now, you have got a clear idea about the pros and cons of working with a SaaS development company. Now let’s move to the next section and discuss in detail about advantages and disadvantages of hiring freelance SaaS developers.

Platform independence

One of the key reasons for the popularity of python is platform independence. Python is supported by different platforms like Linux, windows, and macOS. Data scientists prefer to use their own systems with powerful Graphics processing units(GPUs) to train their ML model. Python platform independence makes AI software development a lot easier and cheaper.

• Enhanced flexibility

  Python is an excellent choice for AI software development due to its enhanced flexibility. It is an ideal option for backend programming and linking different data structures together. Further, it also provides an opportunity to choose between object-oriented programming and scripting.

• Simple code

  Coding with python is really easy as syntax is very similar to the English language with self-explanatory commands. Some experts believe that the syntax of python is like mathematics which makes it the right option for AI and ML. Python simplicity helps developers in AI software development to put their efforts into coding rather than focusing on technical jargon.

• Great community support

  Python is used by millions of developers globally. The presence of an active python community will help you in case of any development issues. So this is another major advantage of using python in AI software development.

Conclusion

Python makes the AI and ML development process really easy, fast, and budget-friendly. So considering all the advantages of using python mentioned in this blog it is the right choice to choose the Python programming language for AI & Machine Learning.