11/25/2023 0 Comments Anaconda for windows for jupyter![]() Right click on desktop and create a New > Shortcut. Step 1: Create a Hidden Jupyter Lab instance shortcut Please change the paths below as necessary. My Miniconda lives in C:\Users\myprofile\miniconda3. Right-click on the jupyterlab's taskbar icon while it is running and select Pin to taskbar Pin it to the taskbar once you run jupyterlab using the shortcut.copy the icon to the start menu, %AppData%\Microsoft\Windows\Start Menu\Programs\Anaconda3 (64-bit), if you have Windows 10.%USERPROFILE%\miniconda3\envs\jupyter\Menu\jupyter.ico assign a jupyter icon, I have one in e.g.customize the shortcut's Start in value to %USERPROFILE% or to any specific folder. ![]() ![]() After that, you can right-click on the shortcut and select Properties. (I don't have it in base.) To create a shortcut, right-click on an empty field in your Windows file explorer, select New > Shortcut, and paste in the value above. Where I supposed you have jupyter-lab installed in the conda environment called jupyter_env. ![]() You can create a shortcut to connect to a local server with Right Click->New>Shortcut and using this as location target: "C:\Program Files (x86)\Google\Chrome\Application\chrome.exe" -app= You can also start a server without spawning the Chrome App window by typing jupyter lab -no-browser into the Anaconda Prompt console.Ĭreate a shortcut with a target: %windir%\System32\cmd.exe "/K" C:\Users\%username%\Miniconda3\Scripts\activate.bat jupyter_env & jupyter lab & exit Run the shortcut, it should spawn a command prompt running the server instance, and the Jupyter Lab Chrome App window.Ĭreating a shortcut to access an already locally running server: The Target field should look like this: C:\Users\Serendipity\Anaconda3\python.exe C:\Users\Serendipity\Anaconda3\cwp.py C:\Users\Serendipity\Anaconda3 C:\Users\Serendipity\Anaconda3\python.exe C:\Users\Serendipity\Anaconda3\Scripts\jupyter-lab-script.py %USERPROFILE% On the Target field, where it says jupyter-notebook-script.py, change it to jupyter-lab-script.py. Right click the newly created Jupyter Lab shortcut and go to Properties, change the icon to your downloaded icon, change the comment field to say "Jupyter Lab". Make a copy of the Jupyter Notebook shortcut and name it Jupyter Lab Navigate to "C:\Users\Serendipity\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3 (64-bit)" Use your favorite text editor to open the Jupyter config file found on this location: C:\Users\\.jupyter\jupyter_notebook_config.pyĪdd this line to the end of the config file: c.NotebookApp.browser = "C:/Program Files (x86)/Google/Chrome/Application/chrome.exe -app=%s" Run Anaconda Prompt from your Start menu and type: jupyter lab -generate-config This command box is what communicates between them.1. Do not close this box! Jupyter is a web-based application, so basically what you’re doing is setting up a local server between your browser and Python. Either way, you will see a command line-like box appear. One way is easier, the other more powerful. You’ve got a couple of options to launch Jupyter. ![]() Check out Anaconda’s Getting Started guide for some other good-to-knows. Now what? As the post title implies, we’re going to jump straight into using Jupyter, although some other things were downloaded that you should check out eventually. OK, so Python is now installed on your computer. Follow all the steps - just keep clicking “Next.” As of this writing, the Anaconda Individual download all told is about half a gigabyte… be patient! Now what? You can download Anaconda Individual here. Do a little searching on the economics of open source sometime, it’s interesting! It’s interesting to ponder that even though Python itself is free and open source, Anaconda can still build a business around it. What that post didn’t do is show you is how to work with Jupyter notebooks on your own computer - it uses a very nifty cloud-based instance. ![]()
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