Carnets vs PeterJohn NumPy Matplotlib

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. Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools. You can switch between standard notebooks and the more modern jupyterlab using the Settings app. Of course, all the packages included with the standard app are present too: numpy, simply, matplotlib... 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. 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, cartopy, cryptography, cvxopt, Fiona, geopandas, geopy, gym, inequality, libpysal, lxml, mapclassify, matplotlib, networkx, nltk, numpy, openCV, pandas, parso, pillow, pyFFTW, pyproj, qutip, rasterio, regex, Rtree, scikit-learn, scipy, seaborn, segregation, shapely, soupsieve, spopt, statsmodels, sympy, wordcloud.

Now PeterJohn, a Python Interpreter which Runs on iPhone,   Acquired Two Major Modules, NumPy and Matplotlib. they will help you to study  DataScience, DeepLearning, ReinforcementLearning. it's like King Jesus sent twelve disciples out two by two. **Mark 6:7;12-13, GNT 6:7 He called the twelve disciples together and sent them out two by two. He gave them authority over the evil spirits. 6:12 So they went out and preached that people should turn away from their sins.  6:13 They drove out many demons, and rubbed olive oil on many sick people and healed them. **** How to Use it; 1) First, Touch "Add Tutorial" at the BottomLeft of ProjectsView. 2) Touch "TutorialSeason006" at ProjectsView. 3) Choose One of Four at ScriptsView. s001PILimageFontTest.py; This doesNot use Matplotlib but uses only Matplotlib TTF(TrueTypeFonts). s002matplotlibPltPlot.py s003matplotlibPltLegend.py s004BarChartOnPolarAxis.py 4) Touch "RunScript" at the TopRight of EditScriptView. 5) Only for the first time, the warning that "AppleMetal Cache Directory doesNot Exist" appears, Once needs to go back to EditScriptView, and then touch "RunScript" at the TopRight of EditScriptView Again. 6) the script is Executed at RunScriptView. **** Enjoy NumPy, Enjoy Matplotlib Enjoy DataScience, DeepLearing, ReinforcementLearing. Enjoy PeterJohnNumPyMatplotlib --Yasushi Yassun Obata