Serdar Yegulalp
Senior Writer

Wider horizons: New tools (and languages) for Python developers

analysis
Aug 30, 20242 mins

The end-of-summer report includes more than one way to tackle data science, a get-started guide to beat the Django 5 learning curve, and what's up with all these new Python tools written in Rust?

Horizon, road, long view
Credit: canadastock/Shutterstock

Whatโ€™s happening in the world of Python as summer winds down? Here are some of our favorites: Python is an established mover and shaker in data science, but itโ€™s not the only mover and shaker. Expand your horizons with our rundown of the top three languages for data science. Also, if youโ€™ve ever wanted to get started with Django but were worried about the learning curveโ€”worry no more! Weโ€™ve got the get-started guide you were waiting for. Finally โ€ฆ why choose between Python and Rust when you could have them bothโ€”and a couple of new Rust-y Python tools to boot.

Top picks for Python readers on InfoWorld

3 languages changing data science
No prizes for guessing Pythonโ€™s #1! (But #3 might surprise you.)

Get started with Django 5.0
This is it: The all-in-one guide to get you started with the all-in-one Python web framework.

The best new features and fixes in Python 3.13
Coming later this year to a Python near you: JIT compilation! Among other things, we can anticipate the end of the GIL (well, the beginning of the end, anyway) and improved error messages.

How to use Rust with Python, and Python with Rust
Convention says to use Rust for speed and Python for convenience. We say, use PyO3 to get the best of both worlds.

More good reads and Python updates elsewhere

uv 0.3: Unified Python packaging, written in Rust
Because of course, all the best Python tooling is written in Rust these days โ€ฆ

Tach: A Python tool to enforce dependencies, written in Rust
Because of course, all the best Python tooling is written in Rust these days โ€ฆ (wait, is there an echo in here?)

Codon 0.17: The latest release of a Python-to-machine-native-code compiler
The latest entry in the โ€œletโ€™s compile Python to assemblyโ€ sweepstakes now supports more of Pythonโ€™s dynamic behaviors. And more of Python, period.

Are function calls still slow in Python?
Not after 3.11, and it looks like things are getting even faster in the future.

Serdar Yegulalp

Serdar Yegulalp is a senior writer at InfoWorld. A veteran technology journalist, Serdar has been writing about computers, operating systems, databases, programming, and other information technology topics for 30 years. Before joining InfoWorld in 2013, Serdar wrote for Windows Magazine, InformationWeek, Byte, and a slew of other publications. At InfoWorld, Serdar has covered software development, devops, containerization, machine learning, and artificial intelligence, winning several B2B journalism awards including a 2024 Neal Award and a 2025 Azbee Award for best instructional content and best how-to article, respectively. He currently focuses on software development tools and technologies and major programming languages including Python, Rust, Go, Zig, and Wasm. Tune into his weekly Dev with Serdar videos for programming tips and techniques and close looks at programming libraries and tools.

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