Install Conda Mac Os X

With pip or Anaconda’s conda, you can control the package versions for a specific project to prevent conflicts. Conda also controls non-Python packages, like MKL or HDF5. System package managers, like apt-get, install across the entire computer, often have older versions, and don’t have as many available versions. Steps to reproduce on Mac OS X: Install Anaconda with Miniconda3-1.6.2-MacOSX-x8664.sh Execute: conda install anaconda The following traceback occurs during the linking step of the installation: Traceback (most recent call last): File '.

Table Of Contents

  1. Mac OS X ¶ Cantera can be installed on OS X using either Homebrew or Anaconda / Miniconda. If you are using Anaconda / Miniconda, see the directions above. With Homebrew, the current stable, or development version of Cantera can be installed, and both the Python 2.7 and Python 3.x modules are available, as well as the Matlab toolbox.
  2. Conda install -c anaconda openjdk Description JetBrains Runtime is a runtime environment for running IntelliJ Platform based products on Windows, Mac OS X, and Linux.
  3. Conda install -c anaconda pyaudio Description With PyAudio, you can easily use Python to play and record audio on a variety of platforms, such as GNU/Linux, Microsoft Windows, and Apple Mac OS X.
  • Installation on OS X
    • Installation components
      • Installing Python
      • Source installation Dependencies
    • Using The Kivy.app

To install Kivy on OS X using pip, please follow the maininstallation guide.Otherwise, continue to the Kivy.app instructions below.

Installation components¶

Following, are additional information linked to from some of the steps in themain installation guide, specific to OS X.

Installing Python¶

Homebrew¶

If you’re using Homebrew, you can install Python with:

MacPorts¶

If you’re using Macports, you can install Python with:

Frameworks¶

To install frameworks Python on OSX, download it from the mainPython website and follow theinstallation steps. You can read more about the installation in thePython guide.

Source installation Dependencies¶

To install Kivy from source, please follow the installation guide until you reach theKivy install step and then install the additional dependenciesbelow before continuing.

Homebrew¶

If you’re using Homebrew, you can install the dependencies with:

MacPorts¶

Note

You will have to manually install gstreamer support if you wish tosupport video playback in your Kivy App. The latest port documents show thefollowing py-gst-python port.

If you’re using MacPorts, you can install the dependencies with:

Frameworks¶

If you’re installing Python from a framework, you will need to install Kivy’s dependenciesfrom frameworks as well. You can do that with the following commands (customize as needed):

Now that you have all the dependencies for kivy, you need to make sureyou have the command line tools installed:

Using The Kivy.app¶

Note

Kivy.app is built on the current GitHub Action macOS version and will typicallynot work on older OS X versions. For older OS X versions, you need to build Kivy.appon the oldest machine you wish to support. See below.

For OS X 10.14.4+ and later, we provide a Kivy DMG with all dependenciesbundled in a virtual environment, including a Python interpreter. This isprimarily useful for packaging Kivy applications.

You can find complete instructions to build and package apps with Kivy.app in the readmeof the kivy-sdk-packager repo.

To install the Kivy virtualenv, you must:

  1. Navigate to the latest Kivy release on Kivy’s website orGitHub and download Kivy.dmg.You can also download a nightly snapshot ofKivy.app.

  2. Open the dmg

  3. In the GUI copy the Kivy.app to /Applications by dragging the folder icon to the right.

  4. Optionally create a symlink by running the following command:

    This creates the kivy binary that you can use instead of python to run scripts.I.e. instead of doing pythonmy_script.py or python-mpipinstall<modulename>, writekivymy_script.py or kivy-mpipinstall<modulename> to run it using the kivybundled Python interpreter with the kivy environment.

    As opposed to activating the virtualenv below, running with kivy will use the virtualenvbut also properly configure the script environment required to run a Kivy app (i.e. settingkivy’s home path etc.).

Using the App Virtual environment¶

The path to the underlying virtualenv is /Applications/Kivy.app/Contents/Resources/venv.To activate it so you can use python, like any normal virtualenv, do:

On the default mac (zsh) shell you must be in the bin directory containing activate to beable to activate the virtualenv, hence why we changed the directory temporarily.

kivy_activate sets up the environment to be able to run Kivy, by setting the kivy home,gstreamer, and other variables.

Start any Kivy Application¶

You can run any Kivy application by simply dragging the application’s main fileonto the Kivy.app icon.

I am following the R programming language for some time. But sometimes, I wonder how Python would have worked in those scenarios. After all, Python has more followers. So, one fine morning I decided to set my hands on Python.

I opted for a Coursera Course on “Machine Learning Foundations: A Case Study Approach” which I liked because it started at the very basic of Python and followed a case study approach.

Install Conda Mac Os X Versions

I downloaded Python 3.7.2 for Mac OS X, which is the latest version. But, this particular course is using Graphlab Create and I needed a different version of Python.

GraphLab Create:

GraphLab Create is a highly scalable machine learning library for Python, which also includes the SFrame, a highly-scalable library for data manipulation.

So, my this post is more about running iPython notebook and GraphLab Create locally on my own computer.

Below are the steps to install and run the GraphlLab Create:

Install Conda Mac Os X

1. GraphLab Create is not free software. But they provide a 1-year, renewable license for educational purposes. So first, Register for GraphLab Create at turi and a product key will be emailed to the registered address.

2. Since I have Mac(10.12.6 ), I downloaded “Graphlab Create Launcher” for Mac OS X here.

3. Once downloaded, I added the GraphLab Launcher to the Applications Folder and started the installations.

Install Conda Mac Os X

Mac Os X 10.7 Download Free

4. Provided the product key and followed the installation instructions. So, the Launcher will do the following:

5. But sadly for me, the launcher ended in an error.

Error:

The Log says below:

On checking the log more closely, it showed the python version 2.7.13 is installed. Anaconda installation did not clash with the existing Python installation. I have both the versions now.

I navigated to the path where I had installed the “Anaconda” package and there is an “envs” folder which is empty.

Solution:

I launched the navigator and on the “Environments” tab, I saw one “create” option.
Provided the Environment name as “gl-env” and did OK.

“gl-env” is created after some time.

That being done, still, I was not sure if I have everything ready to use GraphLab. So, I decided to start with the course and see how far I can proceed.

Next step is to launch iPython notebook from Home. So, click on Launch at Jupyter notebook.

To create a new iPython Notebook, navigate to New -> Python2

Thus, a new blank iPython Notebook is launched and type

Immediately it resulted in an error saying ” No module named graphlab”.

Hmmm, so GraphLab Module is not installed. What next? I followed the steps mentioned here.

What next?

1. Open a Terminal from gl-env environment.

2. Run the below commands as mentioned in the above link:

Since Anaconda is already installed, I skipped the first 2 steps. But while trying to create a new Conda environment, I was getting an error:

To get rid of that error I used the below command first to set the path:

2. #Create a new Conda environment with Python 2.7.x

# Since I already created the environment manually, this step is also not required and on running the below command it will say that it already exists.

3. # Activate the Conda environment

4. # install pip

Install conda mac os x el capitan

5. # Install your licensed copy of GraphLab Create

Now, GraphLab is installed. Let’s go back to my iPython Notebook and check if I can import graphlab. But first, make sure to terminate all the terminals and close the Navigator and reopen it.

“import graphlab” was still giving me the same error. I checked graphlab is installed. What can be the issue? Let’s check the paths:

And Voila, it worked! The issue was the path. So I need to append the path where I have installed GraphLab each time I am importing the GraphLab package. Got It!

Thank You!

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