Stack Overflow works best with JavaScript enabled I have not changed my install, FWIW I am using The version of the notebook server is 3.0.0-f75fda4 and is running on: Python 2.7.8 |Anaconda 2.2.0 (64-bit)| (default, Jul 2 2014, 15:12:11) [MSC v.1500 64 bit (AMD64)]How do I close this question myself ?
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I wanted a quick way to comment out, and then add back in my code blocks without having to go through and delete every single '#'. I am using This is an old post but reading it got me thinking about possible shortcuts.My keyboard is a Latin Apple MacBook Pro, which is called My takeaway with this would be: if I have more shortcut problems I might try the original shortcut but using the key where the U.S. keyboard would have it.I tried this on Mac OSX with Chrome 42.0.2311.90 (64-bit) and this works by using CMD + / Could it be a browser related problem? The Jupyter … )We’re going to show you 28 tips and tricks to make your life working with Jupyter easier.As any power user knows, keyboard shortcuts will save you lots of time. The name Jupyter is an indirect acronyum of the three core languages it was designed for: When working with Python in Jupyter, the IPython kernel is used, which gives us some handy access to IPython features from within our Jupyter notebooks (more on that later! More details of usage can be found There are also different jitter systems which can speed up your python code. Commenting/Uncommenting a block of code : While working with codes, we often add new lines of code and comment out the old pieces of code for improving the performance or to debug it. As an example, here is how to get and R kernel running.If you used Anaconda to set up your environment, getting R working is extremely easy. Best of all, it’s completely free. When you start with Jupyter notebook most of the people use the menu bar above the cells to do basic operations. À la fin de ce guide, vous serez en mesure d'exécuter du code Python 3 en utilisant Jupyter Notebook sur un serveur distant. Privacy Policy last updated June 13th, 2019 – __CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"62516":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"62516":{"val":"var(--tcb-color-15)","hsl":{"h":154,"s":0.61,"l":0.01}}},"gradients":[]}}]}__CONFIG_colors_palette____CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"62516":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"62516":{"val":"var(--tcb-color-12)","hsl":{"h":0,"s":0.01,"l":0.01}}},"gradients":[]}}]}__CONFIG_colors_palette____CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"493ef":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"493ef":{"val":"var(--tcb-color-15)","hsl":{"h":154,"s":0.61,"l":0.01}}},"gradients":[]},"original":{"colors":{"493ef":{"val":"rgb(19, 114, 211)","hsl":{"h":210,"s":0.83,"l":0.45}}},"gradients":[]}}]}__CONFIG_colors_palette____CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"493ef":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"493ef":{"val":"rgb(44, 168, 116)","hsl":{"h":154,"s":0.58,"l":0.42}}},"gradients":[]},"original":{"colors":{"493ef":{"val":"rgb(19, 114, 211)","hsl":{"h":210,"s":0.83,"l":0.45}}},"gradients":[]}}]}__CONFIG_colors_palette__# By adding a semicolon at the end, the output is suppressed.plt.hist(x);# to register the kernel in the current R installationbeginner, Jupyter, jupyter notebook, jupyter notebooks, Learn Python, Learn R, Resources, tips and tricks, tutorial, Tutorials
I want to comment out a block of multiple lines in Jupyter (Ipython Notebook), but can't find out how to do that in this current version.This is not a duplicate because the solution given in the following link doesn't seem to work anymore:I have not yet managed to find the best way possible. Simply click and drag your mouse while holding down The following commands will install the extensions, as well as a menu based configurator that will help you browse and enable the extensions from the main Jupyter notebook screen.And then run the following code to install and enable the extension:Notebooks are displayed as HTML and the cell output can be HTML, so you can return virtually anything: video/audio/images.In this example I scan the folder with images in my repository and show thumbnails of the first 5:We can create the same list with a bash command, because magics and bash calls return python variables:A number of solutions are available for querying/processing large data samples:The easiest way to share your notebook is simply using the notebook file (.ipynb), but for those who don’t use Jupyter, you have a few options:I also recommend the links below for further reading:Data Scientist at Dataquest.io. You can either use a file on your computer as a source, or alternatively a URL.There are two IPython Magic commands that are useful for timing – Using `%prun statement_name` will give you an ordered table showing you the number of times each internal function was called within the statement, the time each call took as well as the cumulative time of all runs of the function.One line of IPython magic will give you double resolution plot output for Retina screens, such as the more recent Macbooks. Stack Overflow for Teams is a private, secure spot for you and Firstly, you’ll need to install R from Once that’s done, fire up an R console and run the following:You can then use the two languages together, and even pass variables inbetween:Sometimes the speed of numpy is not enough and I need to write some fast code.But it is much better when this boring part is done for you, right?You can write functions in cython or fortran and use those directly from python code.Personally I prefer to use fortran, which I found very convenient for writing number-crunching functions.
It used to be in one of the drop down menus but is no longer there.