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Based on our record, Invent With Python seems to be a lot more popular than PyPy. While we know about 141 links to Invent With Python, we've tracked only 9 mentions of PyPy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Created by Al Sweigart, author of Automate the Boring Stuff with Python, Invent with Python aims to make programming accessible, approachable, and fun, using Python as a powerful and beginner-friendly language. - Source: dev.to / 7 months ago
Not courses, but Al Sweigart's "Invent with Python" are excellent. (The two games books and code cracking are excellent to start with.) Https://inventwithpython.com/. Source: over 2 years ago
Check /u/alsweigart' s books on Automate the Boring Stuff with Python and on Invent your own Computer Games with Python. Source: almost 3 years ago
This Udemy course covers roughly the same content as the 1st edition book (the book has a little bit more, but all the basics are covered in the online course), which you can read for free online at https://inventwithpython.com. Source: about 3 years ago
I also consider computer programming to be very creative. You may wish to learn the Python language. Python is a great starting language and very practical. There's some excellent free books here https://inventwithpython.com/ His book Automate the Boring Stuff with Python is very practical with real world uses. Source: about 3 years ago
There are quite a few JITs: JIT-compiler for Python https://pypy.org/ Python enhancement proposal for JIT in CPython https://peps.python.org/pep-0744/ And there are several JIT-compilers for various subsets of Python, usually with focus on numerical code and often with GPU support, for example Numba https://numba.pydata.org/numba-doc/dev/user/jit.html Taichi Lang https://github.com/taichi-dev/taichi. - Source: Hacker News / 6 months ago
Gains than using either compiler alone. This uses the PyPy JIT framework to speed up a RISC-V simulator. https://pypy.org/ https://github.com/pydrofoil/pydrofoil Pydrofoil: A fast RISC-V emulator generated from the Sail model, using PyPy's JIT. - Source: Hacker News / over 1 year ago
"On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / over 1 year ago
If you're going the pure Python route, don't forget to try PyPy[1], an alternative JITed implementation of the language. A seriously underrated project, IMHO. Most time it speeds up execution by a factor of 2x-4x, but improvements of about two orders of magnitude are not unheard of. See for example [2]. Numeric, long-running code shoud suit PyPy optimizations well. [1] https://pypy.org/ [2]... - Source: Hacker News / almost 2 years ago
Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / over 2 years ago
Scratch - Scratch is the programming language & online community where young people create stories, games, & animations.
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
One Month Python - Learn to build Django apps in just one month.
bbfreeze - create stand-alone executables from python scripts
CodeCombat - Learn programming with a multiplayer live coding strategy game.
Numba - Numba gives you the power to speed up your applications with high performance functions written...