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Python: The Emerging Go-To Language for Data Science

Even though it’s been in use for nearly 30 years, Python’s popularity continues to grow by leaps and bounds. Ultimately, the reason for this growth is expressed in two words: Data Science. As companies try to glean actionable business information from their databases, applications written in Python play a significant role.  

So let’s take a high-level overview of the Python programming language, including its unique suitability for data science applications. We also provide a few insights on learning the language. In the end, if you are a programmer, knowing Python is great for your career growth. 

Python Makes Turning Data into Insights an Easier Process  

Data scientists leverage many different programming languages in their work. C++, C, Java, and JavaScript all remain valid options for this use case. However, two languages – Python and R – rank at the top of the popularity list. While R is slightly more popular, Python is rapidly closing that lead. In fact, a recent poll of data analytics languages reveals Python grew in popularity 51 percent over one year.  

Python’s better suitability for the Cloud helps to drive this growth in popularity. Its embedded support for parallel multiprocessing makes it highly suitable for scalable Cloud applications. Considering the rapid growth in Cloud adoption, Python following suit seems like an obvious result. The language scaling well also improves its performance when working with Big Data. 

Importantly, writing algorithms becomes easier when working with Python. The language includes various packages and libraries explicitly designed for data science applications. Notably, it also includes libraries for reporting and data visualization. 

These reasons lie at the root of Python’s popularity in data science, along with the Cloud scalability mentioned earlier.  

Python is also known for its readability and elegance. The readability especially makes it easy to learn, and coding in it is simply fun. What programming languages can say that? Additionally, analyzing Python code used for data science becomes easier as a result. 

Options for Learning Python Abound  

Not surprisingly, many valid options exist for learning Python. Since it’s relatively easy to learn, simply purchase a book and engage in some self-study at home. A variety of free online interactive training programs are also available. Once you feel confident in your skills, consider earning a certification to attract potential employers.  

If you want to take your programming career to a higher level, connect with the team at Technology Partners. As one of the top IT staffing agencies in the Midwest, we know the companies who need talented professionals. Schedule a meeting with us soon!