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:
FFmpeg 2.8.17 'Feynman' 2.8.17 was released on 2020-07-07. It is the latest stable FFmpeg release from the 2.8 release branch, which was cut from master on 2015-09-05. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download jupyter notebook 4.2.3 for Mac from our software library for free. Our antivirus analysis shows that this Mac download is virus free. The program is categorized as Internet & Network Tools. The current setup file available for download requires 4.4 MB of hard disk space. Locate Anaconda. The first step you need to do is to locate the path of Anaconda. You will create a.
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
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:Run:
Run:
Run:
to copy the edited
kernel.json
into the newly created java
directory.Install
gnureadline
by running:in the commoand line.
If all worked you should be able to run the kernel:
and see the following output:
Estimated reading time: 6 minutes
Docker Desktop for Mac is the Community version of Docker for Mac.You can download Docker Desktop for Mac from Docker Hub.
By downloading Docker Desktop, you agree to the terms of the Docker Software End User License Agreement and the Docker Data Processing Agreement.
What to know before you install
Relationship to Docker Machine: Installing Docker Desktop on Mac does not affect machines you created with Docker Machine. You have the option to copy containers and images from your local
default
machine (if one exists) to the Docker Desktop HyperKit VM. Whenyou are running Docker Desktop, you do not need Docker Machine nodes running locally (or anywhere else). With Docker Desktop, you have a new, nativevirtualization system running (HyperKit) which takes the place of theVirtualBox system.System requirements
Your Mac must meet the following requirements to successfully install Docker Desktop:
- Mac hardware must be a 2010 or a newer model, with Intel’s hardware support for memory management unit (MMU) virtualization, including Extended Page Tables (EPT) and Unrestricted Mode. You can check to see if your machine has this support by running the following command in a terminal:
sysctl kern.hv_support
If your Mac supports the Hypervisor framework, the command printskern.hv_support: 1
. - macOS must be version 10.14 or newer. That is, Mojave or Catalina. We recommend upgrading to the latest version of macOS.If you experience any issues after upgrading your macOS to version 10.15, you must install the latest version of Docker Desktop to be compatible with this version of macOS.Note: Docker supports Docker Desktop on the most recent versions of macOS. Docker Desktop currently supports macOS Mojave and macOS Catalina.As new major versions of macOS are made generally available, Docker stops supporting the oldest version and support the newest version of macOS.
- At least 4 GB of RAM.
- VirtualBox prior to version 4.3.30 must not be installed as it is not compatible with Docker Desktop.
What’s included in the installer
The Docker Desktop installation includes Docker Engine, Docker CLI client, Docker Compose, Notary, Kubernetes, and Credential Helper.
Install and run Docker Desktop on Mac
- Double-click
Docker.dmg
to open the installer, then drag the Docker icon to the Applications folder. - Double-click
Docker.app
in the Applications folder to start Docker. (In the example below, the Applications folder is in “grid” view mode.)The Docker menu in the top status bar indicates that Docker Desktop is running, and accessible from a terminal.If you’ve just installed the app, Docker Desktop launches the onboarding tutorial. The tutorial includes a simple exercise to build an example Docker image, run it as a container, push and save the image to Docker Hub. - Click the Docker menu () to seePreferences and other options.
- Select About Docker to verify that you have the latest version.
Congratulations! You are now successfully running Docker Desktop.
If you would like to rerun the tutorial, go to the Docker Desktop menu and select Learn.
Uninstall Docker Desktop
To unistall Docker Desktop from your Mac:
Download Jupyter Lab
- From the Docker menu, select Troubleshoot and then select Uninstall.
- Click Uninstall to confirm your selection.
Note: Uninstalling Docker Desktop will destroy Docker containers and images local to the machine and remove the files generated by the application.
Switch between Stable and Edge versions
Docker Desktop allows you to switch between Stable and Edge releases. However, you can only have one version of Docker Desktop installed at a time. Switching between Stable and Edge versions can destabilize your development environment, particularly in cases where you switch from a newer (Edge) channel to an older (Stable) channel.
For example, containers created with a newer Edge version of Docker Desktop maynot work after you switch back to Stable because they may have been createdusing Edge features that aren’t in Stable yet. Keep this in mind asyou create and work with Edge containers, perhaps in the spirit of a playgroundspace where you are prepared to troubleshoot or start over.
Experimental features are turned on by default on Edge releases. However, when you switch from a Stable to an Edge release, you must turn on the experimental features flag to access experimental features. From the Docker Desktop menu, click Preferences > Command Line and then turn on the Enable experimental features toggle. Click Apply & Restart for the changes to take effect.
Jupyter Download For Mac
To safely switch between Edge and Stable versions, ensure you save images and export the containers you need, then uninstall the current version before installing another. For more information, see the section Save and Restore data below.
Save and restore data
You can use the following procedure to save and restore images and container data. For example, if you want to switch between Edge and Stable, or to reset your VM disk:
- Use
docker save -o images.tar image1 [image2 ...]
to save any images you want to keep. See save in the Docker Engine command line reference. - Use
docker export -o myContainner1.tar container1
to export containers you want to keep. See export in the Docker Engine command line reference. - Uninstall the current version of Docker Desktop and install a different version (Stable or Edge), or reset your VM disk.
- Use
docker load -i images.tar
to reload previously saved images. See load in the Docker Engine. - Use
docker import -i myContainer1.tar
to create a filesystem image corresponding to the previously exported containers. See import in the Docker Engine.
For information on how to back up and restore data volumes, see Backup, restore, or migrate data volumes.
Where to go next
- Getting started provides an overview of Docker Desktop on Mac, basic Docker command examples, how to get help or give feedback, and links to other topics about Docker Desktop on Mac.
- Troubleshooting describes common problems, workarounds, howto run and submit diagnostics, and submit issues.
- FAQs provide answers to frequently asked questions.
- Release notes lists component updates, new features, andimprovements associated with Stable releases. For information about Edge releases, seeEdge release notes.
- Get started with Docker provides a general Docker tutorial.