Carnets - Jupyter (with scipy)

Name: Carnets - Jupyter (with scipy)
Rating: 5 (2 reviews)
Author: Nicolas Holzschuch

Entwickler-Tools

Kostenlos · Entwickelt für iPad

2 Bewertungen
Alter

16+
Jahre
Kategorie

Entwickler-Tools
Entwicklungsteam

Nicolas Holzschuch
Sprache

EN
Englisch
Größe

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.

Bewertungen & Rezensionen

5,0

von 5

2 Bewertungen

RAM usage
16.11.2023

PandaMonn21
I very pleased with the working off this, app, there are so many features, most of the packages are support and for an not natively supported python environment there are only very few minor bugs.Some suggestions for improvement:-In my opinion this app is mostly used by IPad Pro user, this means especially with the newer IPads the RAM should not be an Issue for daily tasks in Data Analysis. But I think the app has only 1GB of RAM support even though at my IPad I have 8GB. I don‘t if Apple allows apps to draw more RAM but if so this would even more increase the number task the app can handle.-Secondly there are some issues with scrolling in the App if a trackpad or external mouse is connected to the IPad. -And at third there seems to be a bug with running a cell. If I am using the Notebook typing in a cell and let the cell run I cannot run the next cell immediately but have to type into the cell and only then I can run it.I am really enjoying the and also my day often relies on it since I use tit for data analysis for small experiments at the university and therefore don‘t have carry my laptop with me everyday!Thank you
RAM usage
16.11.2023

PandaMonn21

I very pleased with the working off this, app, there are so many features, most of the packages are support and for an not natively supported python environment there are only very few minor bugs.Some suggestions for improvement:-In my opinion this app is mostly used by IPad Pro user, this means especially with the newer IPads the RAM should not be an Issue for daily tasks in Data Analysis. But I think the app has only 1GB of RAM support even though at my IPad I have 8GB. I don‘t if Apple allows apps to draw more RAM but if so this would even more increase the number task the app can handle.-Secondly there are some issues with scrolling in the App if a trackpad or external mouse is connected to the IPad. -And at third there seems to be a bug with running a cell. If I am using the Notebook typing in a cell and let the cell run I cannot run the next cell immediately but have to type into the cell and only then I can run it.I am really enjoying the and also my day often relies on it since I use tit for data analysis for small experiments at the university and therefore don‘t have carry my laptop with me everyday!Thank you

- 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.