Carnets - Jupyter
A standalone Jupyter notebook
免費
1.8.3for iPhone, iPad and more
9.1
270 Ratings
Nicolas Holzschuch
Developer
1.1 GB
Size
2024年03月10日
Update Date
#66
in Developer Tools
17+
Age Rating
Age Rating
Carnets - Jupyter 螢幕截圖
About Carnets - Jupyter
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. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings.
Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. 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.
If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)".
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, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.
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. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings.
Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. 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.
If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)".
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, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.
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最新版本1.8.3更新日誌
Last updated on 2024年03月10日
歷史版本
- fixed a major issue with iCloud drive access.
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Version History
1.8.3
2024年03月10日
- fixed a major issue with iCloud drive access.
1.8.2
2024年02月08日
- fixed issues with Matplotlib
- fixed issues with iCloud access
- fixed issue with "File -> New"
- makes sure notebooks are saved when you go back to the file browser.
- fixed issues with iCloud access
- fixed issue with "File -> New"
- makes sure notebooks are saved when you go back to the file browser.
1.8.1
2024年01月30日
- fixed issues with Matplotlib
- fixed issues with iCloud access
- makes sure notebooks are saved when you go back to the file browser.
- fixed issues with iCloud access
- makes sure notebooks are saved when you go back to the file browser.
1.8.0
2023年10月19日
- Updated to Notebooks v7: better user interface, more translations, better stability, fewer issues.
- Updated packages to their latest version.
- New "home" button : gets you straight back to the file browser.
- Updated packages to their latest version.
- New "home" button : gets you straight back to the file browser.
1.7.9
2023年05月15日
- new module: lzma
- new keyboard shortcuts for forward one page / backward one page (shift-command-[ / shift-command-])
- new keyboard shortcuts for forward one page / backward one page (shift-command-[ / shift-command-])
1.7.8
2023年03月25日
- Carnets now works with plotly
1.7.7
2023年02月07日
- fixed an issue with Dark mode and Notebooks or NbClassic
1.7.6
2022年12月11日
- fixes issues with on-screen user interaction
- updated Python version to 3.11
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes, including a bug introduced with 1.7.4 and Pandas.
- updated Python version to 3.11
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes, including a bug introduced with 1.7.4 and Pandas.
1.7.5
2022年12月10日
- updated Python version to 3.11
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes, including a bug introduced with 1.7.4 and Pandas.
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes, including a bug introduced with 1.7.4 and Pandas.
1.7.4
2022年12月09日
- updated Python version to 3.11
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes
1.7.2
2022年07月01日
- updated packages to their most recent version. This solves the issue with .describe() in pandas.
- numpy 1.24, matplotlib 3.5.2, pandas 1.4.2, astropy 5.1...
- numpy 1.24, matplotlib 3.5.2, pandas 1.4.2, astropy 5.1...
1.7.1
2022年04月10日
- fixes the crash issue on iOS 14
- better contrast for the toolbar at the bottom when using external keyboard
- fixes an issue with "download as" for notebook and nbclassic (jupyterlab & retrolab were not affected)
- better information when using virtual environments
- always reset jupyterlab, to avoid issues
- updated jupyter-server to the latest version
- several fixes to make Carnets more robust
- better contrast for the toolbar at the bottom when using external keyboard
- fixes an issue with "download as" for notebook and nbclassic (jupyterlab & retrolab were not affected)
- better information when using virtual environments
- always reset jupyterlab, to avoid issues
- updated jupyter-server to the latest version
- several fixes to make Carnets more robust
1.7.0
2022年03月22日
- better at opening files in other apps directories, with explicit warning if Carnets does not have access to the directory.
- you can chose your notebook style: classical notebook, nbclassic or retrolab (soon to be notebook v7). Pick the style you want using the Settings app, it will be active at the next app restart.
- retrolab is better for small screens, has more translations available and lets you chose dark or light theme independently of the iOS dark or light mode.
- from retrolab, you can switch to jupyterlab if you want. Jupyterlab works better if you have an external mouse.
- fixes a bug with virtual environments
- you can chose your notebook style: classical notebook, nbclassic or retrolab (soon to be notebook v7). Pick the style you want using the Settings app, it will be active at the next app restart.
- retrolab is better for small screens, has more translations available and lets you chose dark or light theme independently of the iOS dark or light mode.
- from retrolab, you can switch to jupyterlab if you want. Jupyterlab works better if you have an external mouse.
- fixes a bug with virtual environments
1.6.6
2022年02月19日
- fixes an issue with virtual environments
1.6.5
2022年02月17日
- fixes a bug with virtual environments.
1.6.4
2022年02月16日
- fixes a bug with "%pip install" that affected some pure Python packages.
1.6.3
2022年02月06日
- virtual environments for Python. Create with "!python -m venv newEnvironment", activate with "%run newEnvironment/bin/activate.py", deactivate with "%run newEnvironment/bin/deactivate.py". Virtual environments are limited to user-installed packages, and are only activated for the current notebook.
- added ffmpeg as an external command, for use with OpenCV.
- Command + return on external keyboards now executes the current cell without moving the insertion point (as opposed to Option + return, which executes the current cell and create a new cell below).
- added ffmpeg as an external command, for use with OpenCV.
- Command + return on external keyboards now executes the current cell without moving the insertion point (as opposed to Option + return, which executes the current cell and create a new cell below).
1.6.2
2021年12月10日
- fixed a bug with astropy
- updated Python version to 3.9.8
- improved file management, display an alert when we can't save a file
- updated packages to their latest version: matplotlib 3.4.0, numpy 1.22, pandas 1.3.4, astropy 5.0...
- updated Python version to 3.9.8
- improved file management, display an alert when we can't save a file
- updated packages to their latest version: matplotlib 3.4.0, numpy 1.22, pandas 1.3.4, astropy 5.0...
1.6.1
2021年11月04日
- new python modules: OpenCV, geopandas, shapely...
- adds several keyboard shortcuts
- adds several keyboard shortcuts
1.6.0
2021年10月14日
Fixes the issue with carriage return on external keyboards and iOS 15.
1.5.8
2021年05月24日
New Python modules: nltk, regex, wordcloud, cvxopt, pyFFTW.
1.5.7
2021年03月17日
- fixed an issue with the cell_filter nbextension.
- fixed a crash that happened if the kernel was restarted too many times.
- fixed a crash that happened if the kernel was restarted too many times.
1.5.6
2021年03月07日
- new "Find" tool in Edit menu
- bug fixes
- packages updated to latest version
- bug fixes
- packages updated to latest version
1.5.5
2021年02月05日
- fixed a major issue that prevented opening notebooks in some cases
- fixed the issue that caused PEP517 errors
- better management of environment variables in subprocess
- first build with gfortran and OpenBLAS. numpy.linalg operations are 4x faster.
- added shell commands "export" and "alias"
- fixed the issue that caused PEP517 errors
- better management of environment variables in subprocess
- first build with gfortran and OpenBLAS. numpy.linalg operations are 4x faster.
- added shell commands "export" and "alias"
1.5.4
2020年12月21日
- Carnets remains active in the background for longer, reducing the number of kernel restarts.
- fixed an issue with automatic resizing on small iPhones
- fixed an issue with opening Python files
- Added the TZ environment variable for packages such as babel and pytz.
- fixed an issue with automatic resizing on small iPhones
- fixed an issue with opening Python files
- Added the TZ environment variable for packages such as babel and pytz.
Carnets - Jupyter FAQ
Carnets - Jupyter在以下限制國家以外的其他地區可用：
Russia
Carnets - Jupyter支持英文
點擊此處瞭解如何在受限國家或地區下載Carnets - Jupyter。
以下為Carnets - Jupyter的最低配置要求。
iPhone
須使用 iOS 14.0 或以上版本。
iPad
須使用 iPadOS 14.0 或以上版本。
iPod touch
須使用 iOS 14.0 或以上版本。
