Python3 IDE Fresh Edition vs Carnets

This is an ios python3.13 app,you can learn,code,run,debug,share python3.13 script. Python:3.13.0 OpenCV-4.11.0 scikit_learn-1.7.dev0 Numpy:2.2.0dev Pandas:3.0.0dev scipy:1.15.0dev matplotlib:3.11.0dev seaborn-0.13.2 Scrapy-2.12.0 kiwisolver-1.4.5 lxml-5.3.0 pillow-11.2.0dev requests-2.32.3 statsmodels-0.15.0.dev wrapt-1.17.2 yfinance-0.2.54 skimage-0.26.0 wordcloud-1.9.4 pydantic_core-2.27.2 jiter-0.8.2 PyPI Download Pure Python Library * * * * * Grammar highlights the learning materials to make learning easier. * * * * * Directly run code examples make it easier for you to test. * * * * * Rich and practical functions make it easier for you to use. Set learning, coding, compiling, sharing code in one. Efficient learning, happy test, easy operation. Everything is in the mastery... Come and try it!!!!!!!

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.