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This should take you directly into a browser and the the jupyter environment.We recommend installing Jupyter Notebook as part of either Anaconda or as an addition to Miniconda. From there all we need to do is to run the command jupyter-lab This will install all of the needed modules. NOTE : You don't need to use pip3 when you have your virtual environment activated. To install them all you need to do is to run the command pip install -r requirements.txt This is a list of modules needed to run the notebooks in that directory. In the JupyterLabWork directory that was created when we ran the git clone command there's a file called requirments.txt.

When it's downloaded simply unzip it into your home directory. Select Instant Client for Mac OS X (Intel x86) (32-bit and 64-bit) and on the next page select the Version 18.1.0.0.0 (64-bit) Basic Package. Installing the Oracle Instant client takes a few more steps on Mac than it does on Linux. This will create a directory call JuypterLabWork Installing Oracle Instant Client ¶ You can either visit the website yourself and follow their instructions or within the terminal run the following command It's easy to use and incredibly simple to install. The beauty of it is is that it enables you to install packages in "user" space rather than "admin". Homebrew is equivalent on Mac to yum or apt-get on Linux. Lets start with setting up the Python Environment Homebrew Install ¶ It consists of Installing Homebrew, setting up python, installing Oracle Instant client, installing Git and then cloning this directory to the server.

I tested this walkthrough on Mac with High Sierra but it should work on any moderately modern variant. This walkthough will serve primarily as a reminder to myself. This should work for either an on premises install or on Oracle's cloud using IaaS (Compute). The following walk-through guides you through the steps needed to set up your enviroment to run Jupyter-lab, Oracle and Docker to build and run docker images for testing. Installing Jupyter-lab and Docker environment on Mac ¶