In recent years, Python has become the language of choice for data science and artificial intelligence—two technology trends essential for global businesses to stay competitive today. In fact, Python is the fastest-growing programming language today according to Stack Overflow’s 2019 Developer Survey. It’s used across a wide variety of applications from web development to task automation to data analysis. 

Known for its readability and versatility, Python is used by businesses of all sizes. Startups may optimize a small engineering team’s workflow by utilizing Python’s efficient syntax and leveraging its many package libraries. Large enterprises may turn to Python to process giant datasets using machine learning algorithms. 

While Python is the current language of choice for many data scientists, web developers, and machine learning experts, is it the right language for you and your team to use? Here, we look at the characteristics of Python that make it so popular, the libraries that expand Python’s functionality, and some of the most common use cases of Python in business today.

Why is Python so popular?

As an object-oriented language, Python can run on most operating systems including Windows, Mac, and Linux. It’s also a developer favorite, with Python crowned the number two most popular language in Stack Overflow’s 2019 developer survey. What’s the secret behind its popularity? Here’s what Udemy instructor, Jose Portilla, has to say about Python via his Complete Python Bootcamp course.

8 uses of Python in business

Python’s popularity is driven by a wide range of companies using it across their products. Developer jobs requiring Python skills have continued to grow over the last several years, according to data from Dice, a tech recruiting firm. In fact, Glassdoor named Data Scientist the best job in America for 2019, a role where Python knowledge is now ubiquitous. Python isn’t just beloved by one type of product or industry. Its flexibility and simplicity have inspired use cases across many common services including:

With Python’s continued dominance across business functions like data science and artificial intelligence, it’s not surprising nearly 9 million students are learning Python on Udemy. Some student favorite courses include: 

Want to upskill your entire team or organization on Python? Request a Udemy for Business demo and see how we can meet your team’s data science and machine learning goals with Python courses.


Top courses in Python

Artificial Intelligence: Reinforcement Learning in Python
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4.5 (7,160)
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Advanced AI: Deep Reinforcement Learning in Python
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4.6 (3,153)
Deep Learning: Convolutional Neural Networks in Python
Lazy Programmer Inc.
4.6 (2,771)
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Deep Learning Prerequisites: Linear Regression in Python
Lazy Programmer Inc.
4.6 (4,210)
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Deep Learning: Recurrent Neural Networks in Python
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4.6 (2,606)
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Unsupervised Machine Learning Hidden Markov Models in Python
Lazy Programmer Inc.
4.6 (2,485)
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Bayesian Machine Learning in Python: A/B Testing
Lazy Programmer Inc.
4.6 (3,351)
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Unsupervised Deep Learning in Python
Lazy Programmer Inc.
4.6 (1,379)

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