Replace the version name and number as necessary (e.g., jdk1.8.0.201, etc.). In the situation that you cannot go into the system menu to edit these settings, they can be temporarily set from within Jupyter: It may be necessary to set the environment variables for `JAVA_HOME` and add the proper path to `PATH`. This solution assumes Anaconda is already installed, an environment named `test` has already been created, and Jupyter has already been installed to it. Steps to Installing PySpark for use with Jupyter I later found a second page with similar instructions which can be found here (Towards Data Science article). Note that the page which best helped produce the following solution can be found here (Medium article).

So today, I decided to write down the steps needed to install the most recent version of PySpark under the conditions in which I currently need it: inside an Anaconda environment on Windows 10. Instead, it's a combination of the many different situations under which Spark can be installed, lack of official documentation for each and every such situation, and me not writing down the steps I took to successfully install it. Note that this isn't necessarily the fault of Spark itself. It seems like just about every six months I need to install PySpark and the experience is never the same.

Winutils Exe Hadoop S