"Why Python's deepcopy Can Be So Slow copy.deepcopy() creates a fully independent clone of an object, traversing every nested element of the object graph." That can be expensive. Learn what it is doing and how you can sometimes avoid the cost."
"A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16 Just In Time compilation is under active development in the CPython interpreter. This blog post outlines the targets for the next two Python releases. KEN JIN Fast Container Builds: 202 - Check out the Deep Dive support faster container builds. → DEPOT sponsor The Python Standard REPL: Try Out Code and Ideas Quickly The Python REPL gives you instant feedback as you code. Learn to use this powerful tool to type, run, debug, edit, and explore Python interactively."
copy.deepcopy() creates a fully independent clone by traversing every nested element of an object graph, which can incur significant cost. A plan aims for a 5–10% faster free-threaded JIT by Python 3.16, with Just In Time compilation actively developed in CPython and targets over the next two releases. Container build tooling and BuildKit capabilities are being examined to support faster builds. The Python REPL provides instant feedback for typing, running, debugging, editing, and exploring code interactively. Additional items include PEP 814 adding a frozendict built-in type and community conference videos and job listings.
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