Here's why some popular features found in other languages—including static typing, multiline lambdas, and native JIT compilation—are a no-go for Python, at least for now.
A slew of obsolete modules are slated to be dropped from Python, a possible prelude to a process for keeping the standard library cleaner.
Why Go may never get a ternary operator, algebraic types, immutable objects, default argument values, or the error handling features found in other programming languages.
Pyjion, a just-in-time (JIT) compilation system for Python that compiles to the .NET 6 runtime, is now available in a 1.0 version.
Python virtual environments shine for keeping projects and conflicting packages separate. Just keep these dos and don’ts in mind.
A new project to change the CPython runtime to boost multithreaded performance has drawn the attention of Python’s core development team.
Triton uses Python’s syntax to compile to GPU-native code, without the complexities of GPU programming.
With so many NLP resources in Python, how to choose? Discover the best Python libraries for analysing text and how to use them.
Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.
Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.
Python programmers have many options for improving the performance of their apps. Here’s where to start.
Incremental improvements are on the way that promise to speed up Python by a factor of 2x to 5x, and remain compatible with existing code.
Pyston 2.2 yields a roughly 30 per cent speed improvement over standard CPython, and the software is now available under an open source licence.
The latest beta version of Python sports powerful pattern matching features, better error reporting, and smarter typing syntax for wrapped functions.
Python has never been as speedy as C or Java, but several projects are in the works to get the lead out of the language.
