🏷️ About: 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.
- Excellent Python coding environment for machine learning on iPad
- Free Jupyter notebook with scipy and seaborn
- Handy for online courses and quick code review
- Solid performance
Just a blank screen. Dev needs to fix this doesnt work on sonoma or others
Carnets listed every PDF and Garage Band file on my iPad in the Recent documents view. I thought it was merely listing these and to clear up the clutter I deleted the list.
THIS STUPID APP DELETED THE ACTUAL FILES AND I HAVE LOST YEARS OF WORK!
DO NOT USE Carnets!
I dunno what to say. It’s got zero UX. It’s not an actual product. It’s two existing products that feel like an internship case study barfed into Carnets Store.
It’s quite literally an embedded Jupyter notebook iframe, which pulls from — who knows, online? The web? It doesn’t ever say.
Carnets opens in a file manager of iOS files with literally no explanation, No branding, no login, no logo (which indicates the lack of any real product)… No navigation into any actual notebook.
Most of all, no way to create a notebook 🤣. It’s devoid of explanation or purpose or real intent. What did the devs expect the user to do once they got in? We may never n know. The iframe nav and menu inside an already compiled iOS app is — to be totally honest — mind boggling to see as something that has launched with approval on Carnets Store.
I truly see no benefit to the abstract and ubiquitous mashed potato ux this thing throws you in once you find an existing notebook to use. How do you add files, where’s your dataframe, are there any possible working directories? I can’t see a plausible or ethical justification for charging for an upgrade on this either as you’d simply be buying two prebuilt apps that already exist in your phone: Files and your browser.
更新以后，就连导入matplotlib都失败了
😥.
This is a truly amazing project...but I just lost over 2 hours of work after trying desperately *not* to lose it.
I worked on a notebook file from OneDrive, and completed the work. I tried to download the .ipynb file, but nothing happened. I tried to download it as a PDF, and it save the file couldn't be saved. I, hesitatingly, left that document, opened another one, and came back, and fortunately all my changes were there.
So I worked on the second document, went back to the first one, and this app refreshed it from OneDrive, wiping out my entire two hours of work. There is no checkpoint to revert to, and opening 'recent notebooks' opens the refreshed one from OneDrive. this app never pushed the change to OneDrive, so it's just... gone forever.
The worst thing, I think, is that when I went to post this as a bug, a comment on GitHub says ALL of DropBox, OneDrive, and Google Drive are "known to not work." But like... WHY do you have them enabled there if they don't work?!? You couldn't warn people or something??
there is no torch , can’t use pip install torch
hope update!
I’ve tried several times to install on iPhone XS on iOS 14.4 but it gets stuck about 80% then goes grey and won’t install. I have plenty of storage available (50+ GB) so not sure what the problem is.
Would be 5 stars otherwise but I see a constant error while trying to “ !pip install paramiko”. But I am able to install other pip packages just fine. The error is “Too many Python scripts”. Could this be fixed or at least show some meaningful messages?
My recent work focuses on solar system integration so this is quite a con. Hope to see updates.
Otherwise it’s very solid.
I began using this tool recently, as I am taking an online data science course, and I have an iPad as my computer. So far the libraries I need are all present, and additional ones can be installed using the !pip install command.
A challenge for me has been how to specific a path to find Excel data I need to access on iOS. I need to use the path command to specify the directory holding the Excel file. It would be helpful if the author produced a short paper showing how to specify the path for OneDrive (I have multiple accounts for OneDrive.), Dropbox, the On My , iPad Files App, Google Drive.
I really don’t think you should hard code your username into Carnets . It is not very professional, and might include some information you wouldn’t like to share.
Didn’t know how to use it at first, but now that i understand. It’s great.
It’s really fantastic, excellent Python coding environment for machine learning on iPad.
And I do believe it could be better if there were Tensorflow-macos/Tensorflow-metal and torch support inside. By the way, a miniforge conda environment support will be really more fantastic. The Apple Silicon support from conda is much better than that from the others.
Best Wishes, and hope for better improvement.
Use it most days on my iPad Pro/Magic Keyboard, works like a charm. Hope it keeps getting updated, when needed.
If you want something to take your Jupyter Notebooks on the go, this is it. I use Anaconda and have found nothing that I couldn’t do in this app. Well worth it.
A perfect Jupyter notebook for iPad!
With scipy and seaborn!
For FREE!
I would happily pay 20 dollars for this!
I’m living in my dream!
Thank you Nicolas!
Nice and I love it and
Im a CS student. Carnets is awesome! I dont have to bring my laptop to my part-time job anymore. Just put my little iPad to work and have a quick review code anytime without any issue.
This is a incredible app
Works like a charm on my iPad Pro + magic keyboard. Super handy as I’m going through some online courses about data science and I can just tab over to this app and try out the code in a Jupyter notebook. Thanks for creating Carnets!
If you get an error “Currently unable to make or access notebook. File load error. .ipynb does not exist.”
It could be related to the iOS settings of Carnets that determines where files are. I changed mine from cloud to local and it fixed things. Though I’m not sure why this happened.
I would like to thank the developer for creating this, and moreover making it free. This is something I would buy once without hesitation.
A perfect Jupyter notebook for iPad!
With scipy and seaborn!
For FREE!
I would happily pay 20 dollars for this!
I’m living in my dream!
Thank you Nicolas!
App is overvall 5 stars but Will tensorflow support be added?
This is a powerful tool with awesome quality, especially for a completely free jupyter notebook app for iPads, really it’s super awesome. I do have to close and open Carnets somewhat often if I sit down to develop for more than an hour or two as cells will stop running, but the easy file management of Carnets makes this well worth the download!
Yes. Carnets - Jupyter (with scipy) is quiet safe to use but use with caution. This is based on our NLP (Natural language processing) analysis of over 66 User Reviews sourced from the Appstore and the appstore cumulative rating of 4.5/5 . Justuseapp Safety Score for Carnets Is 33.5/100.
Yes. Carnets - Jupyter (with scipy) is legit, but not 100% legit to us. This conclusion was arrived at by running over 66 Carnets - Jupyter (with scipy) User Reviews through our NLP machine learning process to determine if users believe the app is legitimate or not. Based on this, Justuseapp Legitimacy Score for Carnets Is 56.7/100..
Carnets collected the following data from you:
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.
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.
Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools.
You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.
You can switch between standard notebooks and the more modern jupyterlab using the Settings app.
