pickle now uses Protocol 4 by default, improving performance.multiprocessing can now use shared memory segments to avoid pickling costs between processes.on macOS, the spawn start method is now used by default in multiprocessing.on Windows, the default asyncio event loop is now ProactorEventLoop.continue is now legal in finally: blocks.f-strings support a handy = specifier for debugging.Debug builds share ABI as release builds.Parallel filesystem cache for compiled bytecode.Typing-related: PEP 591 (Final qualifier), PEP 586 (Literal types), and PEP 589 (TypedDict).PEP 574, Pickle protocol 5 with out-of-band data.PEP 590, Vectorcall: a fast calling protocol for CPython.PEP 587, Python Initialization Configuration (improved embedding).Major new features of the 3.8 series, compared to 3.7 Python 3.11 is now the latest feature release series of Python 3. Note: The release you're looking at is Python 3.8.0, an outdated release. 14, 2019 This is the stable release of Python 3.8.0 You will *reactivate* your virtual environment(s) every time you need to run code related to this project.Release Date: Oct. Notice how I no longer have to use `C:\Python310\python.exe`? (myvenv) python -m pip install pip -upgrade `myvenv` is the name of the virtual environment (in this case). Hopefully you see the logic in the fact that if you use Python 2.7 to write a program it *might not* run on Python 3.10 simply because they are different versions.Īs a beginner, this step might *feel pointless* but I promise as your skills grow you will certainly come to appreciate this step.ĭo you see how we used `C:\Python310\python.exe -m` again? Yup, `venv` is a built-in package to Python. **If you write a program using a specific version of Python, it may or may not work using another version of Python.** Technically speaking, this is *definitely* possible but it poses a new problem: Remember how in step 1 we installed the latest version of Python 3.10? What if we wanted our system to use Python 3.6? Or Python 3.8?
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