1. Data Analytics
As companies across every industry collect more and more data, they need people who can make sense of it. Often, that means hiring data analysts with Python skills.
Python is popular for data analysis work because of powerful libraries like numpy and pandas, which make data cleaning and analysis tasks relatively straightforward, even when working with massive datasets. There are also Python libraries that support a wide variety of other data analytics tasks, from scraping the web with Beautiful Soup to visualizing data with Matplotlib.
Software tools like Jupyter Notebook make it easy for data analysts to create easy-to-repeat analyses, or add text and visualizations that make their work understandable even to people without coding skills.
Example use case : An ecommerce website wants to understand its users better. A data analyst at the company could use Python to analyze the company’s sales, highlight predictable trends, and uncover areas for improvement.
2. Data Science/”AI”
Python is also incredibly popular for more advanced data work in the realm of machine learning. Powerful libraries like scikit-learn and TensorFlow make implementing popular machine learning algorithms very straightforward, and more specialized libraries exist to help with a wide variety of specific machine learning tasks from image recognition to content generation.
Almost anything you see being discussed as “AI” in the news is some sort of machine learning implementation. And an awful lot of that machine learning is being done with Python.
Example use case : A video streaming platform wants to increase user engagement and stickiness. A data science team could use Python to build a predictive model that recommends videos to users based on factors such as their watch history, viewership habits, what videos other users with similar habits watched, etc.
3. Web Development
As evidenced in the list of companies above, Python is a very popular language for web app development. Many of the websites you use every day were built using Python and popular Python web frameworks such as Django and Flask. Although the pages themselves are are rendered with HTML and CSS, Python underlies these visual elements on many sites, driving functionality, managing databases, user accounts, and much more.
Example use case : A company needs to build a new version of its website with specific features. A web developer could build the new site with Python and Django, using the flexibility and power they offer to support any specific or custom features the company needs.
4. Game Development
Python is used in the development of indie video games, thanks to the existence of convenient libraries such as PyGame. (Noticing a pattern? Whatever your use case is, there’s probably already a few Python libraries out there designed to help with it).
Python isn’t used as frequently in the development of higher-budget games – if your goal is to build a photorealistic 3D world, Python’s relatively slow speed and relatively high memory usage mean it’s not the most ideal language for doing that. Python is sometimes used to build the systems that underlie these games, though. Games including Battlefield 2 , Eve Online , The Sims 3 , Civilization IV , and World of Tanks use Python, although none of them was coded entirely in Python.
Example use case : A small team wants to build a creative indie side-scrolling game. The devs could choose to work with Python to take advantage of the convenience of PyGame, and the relative ease of learning how to do new things in Python.