Python: The Future of Computer Science

Photo by Radowan Nakif Rehan on Unsplash

There have been many recent innovations in computer science, especially in artificial intelligence and machine learning. These rapidly growing fields are changing our daily lives. When we browse the internet, make a purchase, answer surveys, and do captcha questions we are training machine learning and artificial intelligence algorithms, making them smarter.  

Artificial intelligence plays an important role in diverse areas, including online marketing, web searching, and healthcare. When consumers shop online they are often greeted with advertisements that relate to the product they are looking for. When a user searches for something on a web engine, they are provided a recommendation list as well. These algorithms have the ability to generate this information based on the user’s past searches in conjunction with other data. This gives the person a personalized shopping or browsing experience that can increase their chances of purchasing a product. 

Additionally, Artificial intelligence is widely used in the healthcare industry and has been key in fighting the COVID-19 virus. It has been used in thermal imaging of airports and other locations that can see high influxes of people. They have also used it to recognize infection from computerized scans of the lungs without the need of a physician. 

Machine learning at its core is a basic principle: find a pattern, and then apply it. This important technology is widely used in everything from email filters to banking software that detects unusual transactions. Machine learning uses statistics to find patterns in large amounts of data. In the case of email filters, a machine learning program can analyze what emails you look at, and receive and then filter out the ones it deems unfit compared to that data. Banking software analyzes purchase history and spending patterns to see if new purchases are fraudulent. Voice assistants use machine learning to determine what a person is saying when they speak.  As you can see, there are numerous critical applications for machine learning.

Do these applications sound interesting to you? If so, consider learning Python! If you have no prior experience in Python, you should take a more basic and fundamental level class. A class like this will give you a strong foundation in Python and help you kickstart your Python journey. In a more basic Python class, you will learn everything from basic variable instantiating to for and while loops. Once you have gotten a strong foundation, a more advanced level Python course will be able to teach you libraries that are widely used in complex Python applications.

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Interested in taking Python? Codefy offers free classes in this and many other computer science fields. Please check out our website (hyperlink Python link to "website") for more information.