Notebook For Mac Os X

Posted on  by 



Shop for Mac OS All Laptops at Best Buy. Find low everyday prices and buy online for delivery or in-store pick-up.

  1. Apple Mac Notebook
  2. Refurbished Mac Notebooks
  1. Hai,If u wants install mac os sierra (Hackintosh)plz watch this video. Plz like,share and subscribe my channel Download files from this link.
  2. Apple MacBook 13 OS X High Sierra $475.00 4GB to 8GB memory 500GB or 128GB SSD included Reference model: MC516LL/A.
  3. Notepad for Mac is a note-taking app for Mac OS X. A trial version is available from several download sites, while the full licensed version of Notepad for Mac will cost you $20.

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

  1. Go to the Spark downloads page and choose a Spark release. For this tutorial I chose spark-2.0.1-bin-hadoop2.7.
  2. Choose a package type. For this tutorial I have choses Pre-built for Hadoop 2.7 and later.
  3. Choose a download type: (Direct Download)
  4. Download Spark: spark-2.0.1-bin-hadoop2.7.tgz
  5. 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:

Mac notebook best buy

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

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

Notebook

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:

Run:

Run:

Run:

to copy the edited kernel.json into the newly created java directory.

Install gnureadline by running:

in the commoand line.

Apple Mac Notebook

If all worked you should be able to run the kernel:

Refurbished Mac Notebooks

and see the following output:





Coments are closed