Learn Python: Tutorials and updates from Red Hat experts
Python is a popular programming language for data science, machine learning, and web development.
Install Python 3 on RHEL
Updating to Python 3.9 is a great way to modernize your existing applications with the latest Python features, including time zone-aware timestamps, new string functions, dictionary union operators, and subtle performance boosts.
You can install Python 3.9, set up your environment, and start using it to create and run Python web services in a Red Hat Enterprise Linux 8 container in 15 minutes.
Why do developers love Python?
"I love Python because it's fast to write, smooth, looks clean, offers many clever (to the point of dangerous) ways to do things and combine them, and has useful libraries and web frameworks for just about anything you want to do."
What is Python used for?
Python is a server-side programming language that's been a fixture in programming since it was introduced in the late '80s. And why not? It's easy to read, write, and run; it's more efficient than similar languages with the same functions; and it's more scalable.
Here are a few reasons why Python is hotter than ever.
More people are using it
The days of technology companies and developers being the only ones interested in data analytics and data modeling are over. Python libraries let users analyze data trends, identify gaps, and pivot quickly to solutions. Its readability and simple syntax make it a great choice for these and other applications.
Data science and machine learning
Python is second only to R for data science and data analytics, and it can do so much more. Many organizations choose Python for their data processing workloads and analysis, including applications in machine learning, artificial intelligence, and web development.
Hundreds of Python libraries and frameworks
Python has seen thousands of hours of open source development, resulting in a rich ecosystem of libraries and tools for just about anything you want to do. No matter what you need, Python gives developers and builders a wealth of tools to choose from.
It's an interpreted language
Why do developers love interpreted languages? If you're able to implement instructions freely and outside a machine language program, you don't have to use a compiler to execute your code; you can run your code as soon as you write it and see immediate results.
5 things to know before learning Python
Getting started with a new programming language can be challenging. Whether you're brand new to programming or a seasoned developer, these five tips will help you decide if it’s time to switch to Python.
Popular Python tutorials on Red Hat Developer
micropipenv: Installing Python dependencies in containerized applications
Managing Python dependencies with the Thoth JupyterLab extension
How to write an ABI compliance checker using Libabigail
How to install Python 3 on Red Hat Enterprise Linux
Speed up your Python using Rust
Introduction to machine learning with Jupyter notebooks
What, no Python in Red Hat Enterprise Linux 8?
