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Python developers are uniquely positioned to succeed in the AI era, with a little help from upskilling.
An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start.
A new JIT compiler, the first no-GIL edition of Python, better errors and typing enhancement, and the removal of dead batteries are all part of Python 3.13.
Documentation tools mdBook, Quartz, MkDoc, and HonKit all support Markdown and work with a variety of other languages and formats. Here's a quick guide to each tool's standout features and best uses.
The build pipeline is the engine of your software development lifecycle, so it pays to keep it tuned up and running right. Here are nine newer and better ways to build code.
Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.
Learn how to get Python up and running on Windows, macOS, or Linux—and avoid the biggest pitfalls along the way.
Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.
Three programming languages have remained the top choices for developers for nearly 30 years, and will for the foreseeable future.
Python developers still prefer Django but are exploring alternative frameworks to draw on specific features or adapt to changing project demands.
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