Carnets vs PeterJohn NumPy

Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings. Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python. If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)". You can share your notebooks with other apps and also open notebooks or directories managed by other apps. Partial list of installed packages: astropy, babel, bokeh, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.

****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