Jupyter notebook windows command line

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Jupyter notebook windows command line

In this case, I would recommend some screenshots to be sure that everyone is on the same page. This is what I see when oo the window Anaconda Navigator.The Anaconda Navigator in Win10, with Jupyter Notebook available as a shuttle applicationThese is what I see when I click the Launch button for Navigator's Jupyter notebook. Jupyter starts in the User folder, which is probably the cause of your comments on the Jupyter file interface, which forces one to click on individual folder icons to reach the desired location. Jupyter launched from Navigator starts in your User folder, which you need a lot to click on. An alternative method for eating Jupyter is with the Anaconda Prompt, which in Windows is only the cmd indicator with the initialized conda configuration. Using this method, you can see which conda environments are available with conda env list, then activate one in addition (base) with conda activate <env-name>, then one can pre-navigate to any folder you want and launch Jupyter with the command jupyter notebook. Below is what it looks like on my Win10 machine. Anaconda Prompt, which starts in the 'system32' directory, showing by changing the directory and launching Jupyter from the command line. And here's the resulting jupyter notebook session, which opens in the Example_Folder. Note that there is no difference in Jupyter's functionality or capability due to the different launch mechanism. Jupyter notebook open to the Example_FolderSince Anaconda Prompt is a part of the Anaconda Ecosystem, I don't think it's separate from Anaconda, but it's not launching IGU's Jupyter Anaconda Navigator either. One thing that *is* separate from Anaconda is the Window PowerShell command line. But Jupyter and conda can also be used from there. Then the conda is used to change the virtual environment, then the directory is changed and Jupyter is launched. Windows PowerShell used to switch directory, activate a conda environment, and launch Jupyter.And here is the resulting (almost identical) Jupyter session. Jupyter himself! For what it's worth, I hardly ever use the Navigator. In fact, these days I use VS Code for most of my work, including integrated Terminal glass, which can be PowerShell or any other shell that is installed. For example, the Windows subsystem for linux bash shell is available and can perform the same functions as Anaconda Prompt and PowerShell. See below. Built-in terminal panel vs code running the WSL bash shell and the resulting Jupyter session (the only thing that changes is the port number as several Jupyter sessions are created. The main takeaway point I'm trying to cross is that the use of conda environments isn't tied anyway to the Anaconda Browser GUI, and in fact jupyter notebook sessions are a jupyter version installed as part of the Anaconda distribution. If you look at all previous shell sessions, Jupyter is loading from ~/Anaconda3/envs/py36/... Therefore, make the statement </env-name> </env-name> Independent might be better than Anaconda could confuse new people in Jupyter and Anaconda, which I think is their intended audience. I think a more accurate statement would be To launch Jupyter from the command line is more powerful than relying on the Anaconda browser GUI. I applaud your impulse to share your findings, and encourage you to continue doing so. Keeping terminology unequivocal is a universal challenge that we all face, however! Jupyter/IPython Notebook Quick Start Guide The Jupyter Notebook app can be launched by clicking on the Jupyter Notebook icon installed by Anaconda in the start menu (Windows) or by typing in a terminal (cmd on Windows): This will start a new browser window (or a new tab) showing the Notebook Control Panel, a kind of control panel that allows (among other things) to select which notebook to open. When started, the Jupyter Notebook application can only access files within its home folder (including any subfold folder). No settings necessary if you place notebooks in your home folder or subfolders. Otherwise, you must choose a home folder from the Jupyter Notebook App that will contain all notebooks. See below for platform-specific instructions on how to start the Jupyter Notebook app in a specific folder. Copy the Jupyter notebook launcher from the menu to your desktop. Right click on the new launcher and change the Destination field, change %USERPROFILE% to the full path of the folder that will contain all notebooks. Double-click the Jupyter Notebook desktop launcher (show [IPy] icon) to start the Jupyter Notebook app. The notebook interface will appear in a new browser window or tab. A secondary terminal window will also open (used only for logging and closing errors). To launch Jupyter Notebook App: Click focus, type terminal to open a terminal window. Enter the startup folder by typing cd /some_folder_name. Type the jupyter notebook to start the Jupyter Notebook app The notebook interface will appear in a new browser window or tab. Closing your browser (or tab) will not close the Jupyter Notebook app. To close it completely you need to close the associated terminal. In more detail, the Jupyter Notebook app is a server that appears in your browser at a default address ( ). Closing the browser will not turn off the server. You can reopen the previous address and the Jupyter Notebook app will be replayed. You can run many copies of the Jupyter Notebook app and they will be displayed at a similar address (only the number after :, which is the port, will be incremented for each new copy). Since a single Jupyter notebook app can already open many notebooks, we don't recommend running multiple copies of Jupyter Notebook When a notebook opens, it automatically starts its computational engine (called the kernel). Closing the notebook browser tab will not close the kernel, but rather the kernel will continue to function until it runs explicitly explicitly Down. To close a kernel, go to the associated notebook and click the File -> Close and Stop menu. Alternatively, the Notebook Pane has a tab called Execution that displays all running notebooks (i.e. kernels) and allows you to close them (by clicking a power off button). Download the notebook you want to run and place it in the notebook folder (or a subfold folder). Then follow these steps: Start the Jupyter Notebook app (see section above). In the notebook panel browse to find the notebook: clicking on its name will open in a new browser tab. Click the User Interface Help -> menu to get an overview of the Jupyter Notebook app user interface. You can run the notebook document step by step (one cell at a time) by pressing shift + enter. You can run the entire notebook in one step by clicking the Cell -> Run All menu. To restart the kernel (i.e. the computational engine), click the Kernel -> Restart menu. This can be useful to start from a calculation from scratch (for example, variables are removed, open files are closed, etc...). Learn more about editing a notebook: Notebook basics (or alternate link) Note Save notebooks: Notebook modifications are automatically saved every few minutes. To avoid modifying the original notebook, make a copy of the notebook document (File > Make a copy ...) menu and save the copy modifications. To be sure, be sure to open each notebook document in one tab. If you accidentally open a notebook twice in two different tabs, close one of the tabs. See References in the Jupyter Notebook App environment. ? Copyright 2015, Antonino Ingargiola and collaborators. Revision 19a9041d. Built with Sphinge using a theme provided by Read the Docs. Photo By Matthew Fournier in UnsplashJupyter Notebook is a great tool for data science, but it can be quite slow if you constantly need to navigate through multiple guides before releasing a notebook file, or if you're using a clunky GUI like Anaconda Navigator to reach your files. Today, I will be covering how to use Windows File Explorer, Command Prompt and PowerShell via Windows Terminal to quickly navigate to your choice guide and launch Jupyter notebook. (If you're using MacOS, you can see settings for an automaton script or bash alias. Here are two ways you can drastically reduce lost time by browsing through folders and files.1. Windows File Explorer + Command Prompt When you open a Windows Explorer folder, you will see an address bar similar to that in a web browser. By default, it displays the path to the current folder. In this address bar, you can enter text and navigate to other directories Once you have entered your specific folder with Windows Explorer, you can simply press ALT+D, type cmd and press Enter. You can then type the jupyter notebook to start Notebook inside that specific folder. Jupyter Notebook launching with File Explorer and Command PromptNOTE: If you're using Anaconda, you may have to type activate conda to switch to Anaconda Prompt within Command Prompt. Also, if you receive an error involving zqm.h, you will need to add the following folders to your environment variable PATH:C:\Users\***\Anaconda3\Lib\site-packages\zmqC:\Users\***\Anaconda3\Library\bin2. Windows Terminal + PowerShell AliasTh this method is a little more complicated but it is much faster and much more versatile. In this section, I will explain how to use Windows Terminal to access PowerShell and configure custom aliases. Let me unpack that last sentence a little bit:Windows Terminal is basically a modern terminal application that allows us to use command line tools and shells such as Command Prompt. Some key features include several tabs, panels, Unicode and UTF-8 character support, an accelerated GPU text rendering engine and the ability to customize text, colors, backgrounds and shortcuts. You can find a guide to set it up with Anaconda Prompt. PowerShell is a command line tool like Command Prompt, except that it gives us the ability to do in-depth system management among other manageable skills. An alias is basically a console command shortcut. For example, instead of typing Set Location in PowerShell, you can type cd or chdir to change directories quickly. PowerShell allows you to create custom aliases, which is what we will do here. With a custom alias, you can launch Jupyter Notebook by simply typing jn instead of jupyter notebook. You can also browse directories with this. For example, I write cdp3 instead of something like cd C:\Users\***\OneDrive\Desktop\General Assembly\Project3.Launching Jupyter Notebook with Windows Terminal and PowerShell AliasesTo configure this, you will first need to install Windows Terminal. This step is optional, but I prefer to use Windows Terminal over standalone PowerShell because of the functionality it offers (Windows Terminal is also much better looking). You can find a guide to set it up with Anaconda Prompt. You'll then want to create a PowerShell profile. This is where we will store our shortcut commands, which are most formally known as aliases. To create a profile, start PowerShell and enter the following command: New-Item -Type File -Force $PROFILE. This will create a profile inside the UserProfile\Documents folder. You can check your profile path by typing $PROFILE into PowerShell.You can open this file with PowerShell by typing ise $PROFILE or manually opening this file with the preferred code editor. First you'll want to create a shortcut to your most frequently used guide like:From there, you'll want to add something like the following to your profile will allow you to start Jupyter Notebook by typing jn. You can change this alias to anything else, like >j and so on. To launch Windows terminal, you can use Victoria Victoria R and wt type. There are tons more you can do with aliases, such as setting custom git commands as follows: The possibilities are quite endless with aliases. We hope this will help you out! Out!

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