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 virtualenv and venv dos and don’ts
Python virtual environments shine for keeping projects and conflicting packages separate. Just keep these dos and don’ts in mind.
3 Python web frameworks for beautiful front ends
Want to generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? One of these frameworks could do the trick.
3 great Git alternatives: Fossil, Mercurial, and Subversion
Git isn't the only open source version control system around. Here's what you need to know about three of its biggest competitors.
A first look at the Mojo language
Mojo aims to be as easy to use as Python, but as powerful and fast as Rust. Here's a first look at Python's newest challenger.
The best new features and fixes in Python 3.12
Better error messages, support for Linux profiling tools, and many improvements to Python's type hinting have just landed. Let's take a look.
8 VS Code extensions you didn’t know you needed
These surprising Visual Studio Code extensions aren't just for writing and editing code—though they'll also help you do that.
5 newer data science tools you should be using with Python
Already using NumPy, Pandas, and scikit-learn? Here are five more powerful Python data science tools ready for a place in your toolkit.
How to manage Python projects with Poetry
With Poetry, Python finally has a graceful way to manage virtual environments and dependencies for development projects. Here’s how to get started.
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.