What is Python programming used for?

Python is a versatile and beginner-friendly programming language used across a wide range of industries. It is known for its learnability and versatility, allowing you to start using it quickly even if you have no prior programming experience. You can apply Python to a variety of tasks, from automating workflows to building websites and coding applications. Its straightforward nature makes it an excellent choice for anyone looking to begin their programming journey.

Python's popularity stems from its simplicity and focus on producing clean, intuitive code. In fact, the guiding principles behind Python’s design are summed up by an easter egg accessible in any Python interpreter, called "The Zen of Python,” which is a list of guiding principles such as "Simple is better than complex" and "Readability counts". Following this philosophy, Python's code often uses simple English and basic grammar, making it easy to read and understand whether it's Python basics or advanced Python programming.

Another key asset of Python is its wide collection of “libraries.” These libraries are collections of pre-written code blocks created by the Python online community. They allow you to add complex functionality to your programs without having to write every line of code from scratch, saving significant time and effort. The combination of a simple syntax and a wealth of community-created resources makes Python highly accessible and efficient for both beginners and experts.

Python's versatility means it can be used for almost any software-related task, making it a valuable tool for both beginners and experts. Some of its popular uses include:

Scripting and automation

Scripts are programs that perform narrow tasks, often repetitively or when specific conditions are met. No matter what industry you’re in, there’s probably some way to use Python scripting to make your job easier and your work product better. For example, you can use Python scripts to rename thousands of files in a directory or monitor system memory usage with automated alerts when certain thresholds are met.

Information technology

In the IT field, professionals use Python basics to automate routine, time-consuming tasks like checking server logs, managing user accounts, and restarting services. For example, a Python script could automatically restart a crashed server, automate software updates across multiple computers, or handle new customer account creation.

Web development

Python offers many frameworks that simplify and accelerate web development. A framework provides pre-written code and templates, acting like a blueprint that lets you build websites without starting from scratch. Python can also run the website, automating tasks, building application programming interfaces (APIs), and helping maintain security.

Data analytics

Many analysts use Python for data analysis every day, making their work faster, easier, and more scalable. Python's extensive libraries contain pre-made tools for managing large datasets, allowing analysts to streamline their workflows and create custom solutions. Python is also the language of choice for integrating with databases, APIs, and big data tools. Programmers also use it for creating high-quality data visualizations and performing statistical analysis.

Machine learning

Python is used to build, fine-tune, and deploy machine learning models. In fact, Python played a role in the development of Google’s “AlphaFold,” a machine learning system that solved one of biology’s biggest mysteries by predicting the 3D shapes of proteins from their amino acid sequences.

It's common to feel intimidated by the idea of learning to code, but Python is widely regarded as one of the most accessible programming languages for beginners. Its simple syntax and use of plain English make the code easy to read and understand, making it a great option for those who want to learn Python and programming basics.

Rather than focusing on memorizing complex commands, you can focus on learning the logic of programming. The Python online community and extensive libraries of pre-written code mean you don’t have to build everything from scratch, which speeds up your learning process and allows you to create useful projects early on.

Learning any skill is more effective when you understand how you'll apply it in your work. The Google Career Certificates program teaches Python in the context of two different career fields – data analytics and IT support – so you can choose the one that aligns with your goals and experience.

The Google IT Automation with Python Certificate teaches you how to automate tasks with Python and manage IT resources at scale. For those interested in working with data, the Google Advanced Data Analytics Certificate focuses on more advanced techniques like machine learning and predictive modeling, which are built using Python programming.

Both of these courses are best suited for professionals with some experience. If you're considering a career switch into IT or data analytics, consider our foundational certificates in Data Analytics or IT Support – ideal to help equip you with job-ready skills for either role.