By only using pip to manage Python code environments in Dataiku we reduce the risks of unexpecting other code environments or the server itself. Therefore we include all required OS level package dependencies as part of your Dataiku build and we make sure we test any new required packages before we allow them into the Dataiku build. I found that it was Kaspersky that was blocking traffic over the websocket connection, which is required for the Jupyter web app to talk to the underlying Python kernel. Installing an OS level package dependency could have a wide impact on other Python code environments or even the whole system itself. For myself, I was using Jupyter Notebook on Windows 10 installed through Anaconda, with Kaspersky Endpoint Security 10 on the machine. Has anyone successfully installed and used C++ on Jupyter Notebook on a windows machine The installation instruction here never worked for me. Anaconda is the most widely used Python distribution for data science and comes pre-loaded with all the most popular libraries and tools. As a Dataiku Administrator I much rather handle any OS level package dependencies from Python packages myself than letting conda do it behind my back as part of a code environment install. The easiest way for a beginner to get started with Jupyter Notebooks is by installing Anaconda. Recall that Anaconda is a Python distribution: it installs. However, I have followed every explanation of what to do in order to get Scala downloaded into anaconda to no avail. We have yet to find a package we could not install via pip in Dataiku. The PIC machines have two ways (at least) to launch Jupyter built-in: via Anaconda, and directly. I am trying to download Scala as a package into anaconda as apparently you can use Scala within jupyter notebooks as a kernel. However on servers I would argue that you should stay away from conda. At first, install Python on Windows 10.Install Python. Conda tends to be used on developer machine installs (ie when using the Anaconda distribution) since it's simpler to just let conda handle both Python and OS level packages on developer machines. Learn to How to Install Anaconda and Jupyter Notebook on Windows 10. In fact, an installation of Anaconda is also the recommended way to install Jupyter Notebooks which you can learn more about here in this Jupyter Notebook. Your Jupyter notebook should now start in your desired folder, if not bear with me you can try this second method.Out of interest why do you want to have conda working under Dataiku? Both conda and pip do effectively the same thing (aka package managers) with the main difference being that conda can handle OS level dependancies and pip can't. Make sure to remove the hash mark # before and replace the line by by c.NotebookApp.notebook_dir = 'Disk:\\your\\desired\\working\\directory' T hen o p en thi s file in any Editor and search for the following line: “c.NotebookApp.notebook_dir” This will generate a file to your user default directory: C:\Users\username\.jupyter\jupyter_notebook_config.py Youll see the le download appear at the bottom of the window. To overcome the issue of outdated and/or multiple versions of python, we will use anaconda to install python version 3.x, and to run jupyter notebooks (explained later). Start by clicking the link for the Jupyter notebook you want to use. However, it does not matter which one you download, because you can create new environments that include any version of Python packaged. Anaconda2 includes Python 2.7 and Anaconda3 includes Python 3.7. For a list of packages included in each previous version, see Old package lists. Open the windows powershell prompt or the powershell Anaconda prompt and type the following: jupyter notebook -generate-config Python Python is already installed on MAC and Linux machines. Previous versions of Anaconda are available in the archive. I have two laptops with Anaconda installed on both and I had some issues to find a working solution to configure the start in folder of Jupyther so I though it’d be a good idea to post the two solutions that worked for me.
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