Why Python Is The Programming Language Of Choice For Machine Learning and Data Science Applications
Over recent years, the way in which many organizations have adjusted to the incorporation of artificial intelligence applications has greatly influenced the way in which they conduct their business. Perhaps one of the most commonly used applications by these organizations in recent years has been Machine Learning. This is a form of artificial intelligence that specializes in autonomous learning. Which means that these programs are learning on their own through analysis of collections of data that businesses input. While this provides immense value to organizations, it would be much harder to accomplish without Python.
Python retains the crown in Machine Learning applications for a number of reasons. Perhaps the most important aspect of Python in relation to Machine Learning is its ease of use and straightforward syntax. Believe it or not, Python is often one of the first programming languages that aspiring engineers learn. Granted forming a mastery over the language isn’t easy, beginning to feel comfortable with some of the core functionality comes fairly simply. The sooner these engineers feel comfortable with the basics, the sooner they’re able to begin interpreting and analyzing the large amounts of data they’re working alongside.
Staying on the beginner track, a number of free online libraries fully of prewritten Python code are provided by the Python community. Some of the code included within these libraries are basic functions and actions that can be used in nearly any project. Without having to code these functions themselves, programmers are able to save huge amounts of time and effort. Some of the most common libraries include: Numpy, PyTorch, Theano, Pandas and Keras. Not only do these libraries provide such eloquent code, they also provide data representation tools meant to strengthen the presentation of this data. This only scratches the surface in terms of online resources for Python, though.
Another aspect of Python’s staying power in the Machine Learning development space comes from its flexibility. Programmers will often have more options in regards to combining different programming languages with Python to produce what’s necessary. To put it simply, Python is able to be used on all major operating systems and platforms. Linux, Unix, MacOS, Windows, you name it. Whatever is necessary to reach the desired result, Python will adjust. All it will take is a couple of adjustments in the code for it to seamlessly transfer to another OS or platform.
In connection with Machine Learning, the use of Python is also very beneficial for data science applications as well. In order to develop the most sound business strategies, organizations are meant to draw the right data from insights and analysis. There’s no language better suited for that job than Python. For additional information about Python and its advantages in Machine Learning and Data Science, be sure to review the infographic coupled alongside this post.
Author Bio: Anne Fernandez – Anne joined Accelebrate in January 2010 to manage trainers, write content for the website, implement SEO, and manage Accelebrate’s Python Training Courses. In addition, she helps to recruit trainers and works on various projects to promote the business.