My Lisp vs PeterJohn NumPy

My Lisp is a complete and universal Lisp environment running directly on the iPhone, iPad, and Mac. This interpreter is true to the original John McCarthy Lisp implementation with the fundamental 7 operators quote, atom, eq, car, cdr, cons, cond, along with lambda and label. My Lisp also contains core and mathematical operators borrowed from other Lisp dialects (Le Lisp, Lisp 1.5, MacLisp, Common Lisp and Scheme to name a few) to make it easy to learn, program, and most importantly, enjoy Lisp. It also features built-in functions for advanced mathematics, including complex numbers and numerical analysis (roots and zeros finder, integral approximation). The complete description of the fundamental, core, and built-in functions is available using a set of library functions completely written in My Lisp. My Lisp offers an interpreter and an editor, all working on the iPhone, iPad, and Mac, and most importantly, without requiring any server connection, that is, the interpreter is executing locally on the iPhone, iPad or Mac My Lisp is installed on. Library and example files contain the source code of classical functions and problems solved by My Lisp and may be used as reference to learn Lisp and develop other programs. They include classical puzzles (hanoi and n-queens), basic mathematical functions (gcd, lcm, factorial, fibonacci, prime?), and the historical apply, mapcar and maplist functions. The Lambda Calculus example file contains various functions related to Lambda Calculus and Combinators, with alpha-conversion, beta-reduction, de Bruijn notations, etc. As a special note, the example file Symbolic Derivation contains a complete yet extensible symbolic derivation module allowing to compute the formal derivation of virtually any symbolic function expressed as a Lisp expression. A user manual and a reference manual are available from within the application but also on My Lisp web site (https://lisp.lsrodier.net) and in Apple Books. The complete source code of the library and example files is part of My Lisp. Last but not least, this overview couldn’t end without a sample definition of the notorious REPL function: (define (REPL eval_me) (REPL (println (eval (read)))))

****PeterJohnNumPyV4 Now You Can Use NumPy 1.20.2 on CPython3.9.9. ****How To Use NumPy on PeterJohnNumPyV4;; Go To "TutorialSeason003/scripts/s007LSTMtrainingPlot.py". Then "Run Script". ****Not Yet implemented Features;; Basically, you Can Use all Functions of numpy.ndarray. **1; numpy.random;; please use Python3 Standard "random" module instead of it. 1.1); numpy.random.randn();; So we implemented pjRandN() function using NumPy and Python3 Standard "random" module. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjRandN() **2; numpy.linalg;; 2.1); numpy.linalg.norm();; So we implemented pjNorm() function using NumPy instead of it. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjNorm() 2.2); numpy.linalg.qr();; So we implemented pjQR() function using NumPy instead of it. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjQR(); **3; numpy.diag();; Basically, you Can Use all Functions of numpy.ndarray, so Please use numpy.ndarray.diagonal() instead of it. **4; numpy.fft; Not Yet implemented. **5; numpy.polynomial;; Not Yet implemented. **6; numpy.ctypeslib;; Not Yet implemented. ****When you Use this App withOut NumPy;; Using iPhone's "Files.app", Delete the NumPy's "__pycache__" folder below. Documents/PeterJohnNumPyV4/usrLocal/lib/python3.9/site-packages/numpy/__pycache__ If there doesNot Exist the NumPy's "__pycache__" folder, when you touched "Edit Script", this App Calls "Py_FinalizeEx()" So you Can Enjoy Scripting Comfortably. ****the WorkAround against the Well-Known Bug of NumPy and Python3.9;; NumPy and Python3.9 have a Well-Known Bug. While NumPy has been imported, "Py_FinalizeEx()" doesNot Release memory. So If you imported NumPy at the Second time, Python3 Crashes. so we made a WorkAround against the Well-Known Bug of NumPy and Python3.9. As the Specification of this App, If there Exists the NumPy's "__pycache__" folder, Documents/PeterJohnNumPyV4/usrLocal/lib/python3.9/site-packages/numpy/__pycache__ Even if you touched "Edit Script", this App doesNot call "Py_FinalizeEx()" This is Not a Perfect Solution But you Can Enjoy NumPy withOut Python3 Crashing. ****1st Corinthians 10:31, GNT; 10:31 Well, whatever you do, whether you eat or drink, do it all for God's glory. Enjoy NumPy on PeterJohnNumPyV4. Best Regards, --Yasushi Yassun Obata