Serdar Yegulalp
Senior Writer
Serdar Yegulalp is a senior writer at InfoWorld, covering software development and operations tools, machine learning, containerization, and reviews of products in those categories. Before joining InfoWorld, Serdar wrote for the original Windows Magazine, InformationWeek, the briefly resurrected Byte, and a slew of other publications. When he's not covering IT, he's writing SF and fantasy published under his own personal imprint, Infinimata Press.
Python 3.12: Faster, leaner, more future-proof
Improvements to the next (and future) versions of Python are set to speed it up, slim it down, and pave the way toward even better things.
Master Python's datetime type
Learn how to work with date and time values using Python's datetime library, and how to avoid some of the gotchas and pitfalls of the datetime datatype.
Python concurrency and parallelism explained
Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications.
Regex: Processing patterns in text
Regular expressions are built into many programming languages and used to match, search, and transform patterns of text in your programs. Get started with Regex.
How to convert Python to JavaScript (and back again)
Love Python? JavaScript, not so much? Here are seven tools that turn Python to JavaScript for use in web applications.
Docker sunsets Free Team subscriptions, roiling open source projects
Docker users with a legacy Free Team organization subscription have been told they have one month to convert to a paid tier or risk losing access to their data.
4 Python type checkers to keep your code clean
Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.
Is it finally time to remove the Python GIL?
The global interpreter lock is both a key component of the Python runtime and a major obstacle to multithreading. These are the plans to get around it or get rid of it.
How to write Python extensions in Rust with PyO3
Py03 lets you combine Rust's speed and memory safety with Python's ease of use. Here's how to write Rust extensions for Python that work just like regular Python modules.
How to use Python dataclasses
Python dataclasses can make your Python classes less verbose and more powerful at the same time. Here's an introduction to using dataclasses in your Python programs.
How to install Python the smart way
Learn how to get Python up and running on Windows, macOS, or Linux—and avoid the biggest pitfalls along the way.
Plunge into Python with 'Python Crash Course 3rd Edition'
This updated version of the respected beginner's guide to Python gives newcomers a whirlwind tour of Python 3.9—from object-oriented programming basics to examples involving data analysis, web development, and more.
What is Cython? Python at the speed of C
A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs.
Why you should use Docker and containers
Learn how lightweight, portable, self-contained Docker containers improve software development, application deployment, and business agility.
3 tiny Kubernetes distributions for compact container management
Small is beautiful, and it could be just the antidote you need for Kubernetes' sprawl. Here are three popular, miniaturized Kubernetes distros for managing containers at scale.
Rust tutorial: Get started with the Rust language
Here's how to get your feet wet with Rust, from using Rust’s toolchain to creating projects, working with third-party code, managing libraries, and more.
Happy Hacking Keyboard review: Tiny typing comfort at a cost
Compact and with great key action, but expensive, the HHKB wants to be your one keyboard for all devices.
Book review: 'Python Tools for Scientists'
Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.
The best new features and fixes in Python 3.11
A faster interpreter, more intelligible errors, more powerful type hints, and a slew of other speedups and tweaks are now ready to try out.