- On your Mac, Notebooks is the only notebook you ever need. It allows you to create as many books as you need to write, store and structure your details of life. Mac OS X 10.10/10.7/10.8/10.9.
- Easily check which versions of mac OS, iOS, iPadOS, or watchOS are compatible with your Mac model or iDevice. Guide includes OS X 10.8.x to macOS 11.0.x.
Jan 18, 2018 Mac OS X is Apple's operating system for its line of Macintosh computers. Its interface, known as Aqua, is built on a Unix foundation. Although it has much of the look and feel of the former Mac OS, features such as preemptive multitasking, symmetric multiprocessing, multithreading, and protected memory give Mac OS X improved stability and performance.
Upgrade to Python 3.x
Download and install Python
3.x
. For this tutorial I have used 3.5
.Once you downloaded and run the installation app, Python 3 will be installed under:
The installer also adds the path for the above to your default path in
.bash_profile
so that when you type:on the command line, the system can find it. You'll know you've been successful if you see the Python interpreter launch.
Install pip
Fire up your Terminal and type:
Install PySpark on Mac
- Go to the Spark downloads page and choose a Spark release. For this tutorial I chose
spark-2.0.1-bin-hadoop2.7
. - Choose a package type. For this tutorial I have choses
Pre-built for Hadoop 2.7 and later
. - Choose a download type: (Direct Download)
- Download Spark: spark-2.0.1-bin-hadoop2.7.tgz
- Unzip the folder in your home directory using the following command. tar -zxvf spark-2.0.1-bin-hadoop2.7.tgz. I prefer create an
opt
directory in my home directory and then unzip it under~/opt/
.
Next, we will edit our
.bash_profile
so we can open a spark notebook in any directory. So fire up your Terminal and type in:my
.bash_profile
looks as follows:The relevant stuff is:
The
PYSPARK_DRIVER_PYTHON
parameter and the PYSPARK_DRIVER_PYTHON_OPTS
parameter are used to launch the PySpark shell in Jupyter Notebook. The --master
parameter is used for setting the master node address. Here we launch Spark locally on 2 cores for local testing.Install Jupyter Notebook with pip
First, ensure that you have the latest pip; older versions may have trouble with some dependencies:
Then install the Jupyter Notebook using:
Thats it!
You can now run:
in the command line. A browser window should open with Jupyter Notebook running under http://localhost:8888/
Configure Jupyter Notebook to show line numbers
Run
Mac os el capitan download link app store. to get the Jupyter config directory. Mine is located under
/Users/lucas/.jupyter
.Run:Run:
to create a
custom
directory (if does not already exist).Run:Run:
and add:
You could add any javascript. It will be executed by the ipython notebook at load time.
Install a Java 9 Kernel
Install Java 9. Java home is then:
Install kulla.jar. I have installed it under
~/opt/
.Download the kernel. Again, I placed the entire
javakernel
directory under ~/opt/
.This kernel expects two environment variables defined, which can be set in the kernel.json (described below):
So go ahead and edit
kernel.json
in the kernel you have just download to look as follows:![Notebooks For Mac Os X Notebooks For Mac Os X](/uploads/1/2/6/5/126520148/386971932.jpg)
Run:
Run:
Run:
to copy the edited
kernel.json
into the newly created java
directory.Install
gnureadline
by running:in the commoand line.
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If all worked you should be able to run the kernel:
Notebooks For Mac Os X 10 13 Download
and see the following output: