Carnets - Jupyter (with scipy)

Name: Carnets - Jupyter (with scipy)
Rating: 4.5 (8 reviews)
Author: Nicolas Holzschuch

開發人員工具

免費 · 專為 iPad 設計

8 個評分
年齡

16+
歲
類別

開發人員工具
開發者

Nicolas Holzschuch
語言

EN
英文
大小

2.2
GB

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.

評分與評論

4.5

滿分 5 分

8 則評分

Really Great!
19/11/2021

Rex Kim 1999
It just works! Many thanks!Now I can learn algorithmic training on my iPad.It is an amazing experiences. Save me a lot of trouble when doing the same on PC or MacOS. I don’t mind to contribute some money to this project, please consider to accept donation. I really believe good guys and good software must be well respected and get paid!
Really Great!
19/11/2021

Rex Kim 1999

It just works! Many thanks!Now I can learn algorithmic training on my iPad.It is an amazing experiences. Save me a lot of trouble when doing the same on PC or MacOS. I don’t mind to contribute some money to this project, please consider to accept donation. I really believe good guys and good software must be well respected and get paid!

- Reduced battery and CPU consumption; this should fix the overheating issues. - Updated Python to version 3.13 - updated all major packages (including scipy and scikit-learn) to their latest version. - better user interface on small devices (iPhones, or small windows on iPads) - multiple bug fixes.