Exploring The Strengths Of Python Programming In Machine Learning

From the moment of their emergence, artificial intelligence oriented programs have had a massive impact on the way that countless industries operate, in addition to the ways in which individuals go about their lives every day. Even with how important this level of functionality has become; many people remain unaware about the development of these programs and tools. Throughout this post, the language that a majority of programming is done with for these machine learning based projects will be detailed, that being python programming.

To begin, Python is the most favorable choice due to its simplicity and straightforward syntax. In fact, it’s one of the most common languages for aspiring programmers to learn first for this very reason. As such, it is easier to pick up on and begin working with large amounts of data collected rather than other programming languages.

While Python remains simplistic in nature, some of its true strength comes in the form of external resources and community support. Developing machine learning programs is much easier with the help of these resources, primarily the online libraries of prewritten code. This code can serve to provide programmers with a number of functions and actions they are able to implement without having to develop them with their own time. Base level code no longer requires the time to develop due to these resources. Some of the common libraries include pandas, Keras, TensorFLow, scikit-learn, and others. These libraries also include data representation tools that allow for more visually engaging pieces to present insights found through data analysis.

While this certainly simplifies the work in which these developers have to do, there is much more work that still must be done. Python is able to adjust in anyway needed when this work takes a different toll, such as needing to operate on a different operating system or in conjunction with a different programming language. Its compatibility with languages like C and C++ as well as its ability to work across a wide suite of platforms like macOS, Windows, Linux, or Unix further illustrates its flexibility. This provides programmers the freedom to work where and how they want if a certain problem requires it.

This isn’t to say Python is the premier programming language, but it certainly makes an argument for itself in terms of these machine learning developments. It also is highly effective in various data science applications as well, as it excels in identifying pertinent information and insights from input data in order to develop strategies. For any business operating in this space, it can be worth investing Online Python Training Courses meant to better prepare your staff for the data they’re meant to assess. For more information on how Python can help, take a moment to review the infographic featured 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 digital marking initiatives. In addition, she helps to recruit trainers for Accelebrate’s Python Training courses and works on various projects to promote the business.