- Update Anaconda Mac
- Anaconda Download Mac Os X 10 13 Download
- Anaconda Download Mac Os X 10 11
- Download Free Mac Os X
- Anaconda Python Mac
The Tensorflow website has good installation instructions for the MAC OS X environment. The official installation instructions for MacOS are provided at https://www.tensorflow.org/install/install_mac. Included are instructions for virtualenv, a native pip environment, using a Docker container, Anaconda command line, and installing from sources. Although straightforward, it doesn’t include installing in an Anaconda Navigator application environment.
Anaconda is a free, open source, community supported development environment for Python and R. Anaconda manages libraries and configurable environments. It’s also a good place to experiment with scientific and machine intelligence packages. The growingly more useful Tensorflow libraries can be used to experiment within an Anacondo environment.
Anaconda Navigator is a desktop graphical user interface included in Anaconda. Packages, environments, and channels are easy to manage with this GUI. Anaconda can be installed by following the instructions at the Anaconda download site. After installation, it’s best to make sure the latest versions are installed. To quickly update using a command line interface:
An open-source JPEG 2000 codec written in C / BSD 2-Clause: openmpi: 4.0.2: An open source Message Passing Interface implementation. / BSD 3-Clause: openpyxl: 3.0.4: A Python library to read/write Excel 2010 xlsx/xlsm files / MIT: openssl: 1.1.1g: OpenSSL is an open-source implementation of the SSL and TLS protocols / OpenSSL: opentracing: 2.2.0. Installing Anaconda Anaconda is available for Windows, Mac OS X, and Linux, you can find the installation file in the anaconda official site. I suggest you choose the Python version 3.7 64-bit installer if you have a 64-bit machine, otherwise choose the 32-bit installer, instead. If you need, you can easily install Python 2.7 versions later.
$ conda update anaconda anaconda-navigator
Then, launch the Anaconda-Navigator application.
In the Navigator application, select the Environments menu item in the far left column. By default, there is one Root environment. Multiple environments with different configurations can be set up here over time. It’s typically best to upgrade existing packages to current versions. The latest version of Python should be installed (3.6 at the time of this writing) should be used.
- Select the Environments menu item in the left column.
- Select the Environment to update (in this case Root).
- Select Upgradable from the drop-down menu.
- Select the version number in the Version column to define packages to upgrade. Make sure Python is the most recent version.
- Select Apply.
To install the Tensorflow packages, a new and clean environment can be created. It will contain the base packages necessary, the latest version of Python and Tensorflow will be installed.
- Select the Create button at the bottom of the Environments column.
- In the popup menu, type ‘Tensorflow’ in the Name text entry field.
- Select the Python checkbox.
- Select version 3.6 in the drop-down menu.
- Select Create.
Tensorflow packages can now be installed into the new environment.
- Select ‘Not Installed’ from the drop-down menu at the top of the right window pane.
- Type ‘tensorflow’ in the Search Packages text input field and hit Return.
- Select the checkbox in the left column next to the two tensorflow package names.
- Click Apply.
To validate the installation, using the newly created Tensorflow environment:
- Make sure the Tensorflow environment is selected.
- Select the arrow next to the Tensorflow environment name.
- Select ‘Open with IPython’.
- A terminal window with the environment settings created will pop up.
- As recommended on the Tensorflow website, type the following into the terminal window
Assuming there are no errors, the newly installed and configured environment is ready for developing with tensorflow.
With over 20 million users worldwide, the open-source Individual Edition (Distribution) is the easiest way to perform Python/R data science and machine learning on a single machine. Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.
?Open SourceAnaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.
?Conda PackagesSearch our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python and many other packages.
?Manage EnvironmentsIndividual Edition is an open source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a cross-platform manner. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.
Build machine learning models
Build and train machine learning models using the best Python packages built by the open-source community, including scikit-learn, TensorFlow, and PyTorch.
Get Started
The open-source community at your fingertips
With Anaconda Individual Edition, the open-source world is your oyster. From robotics to data visualization, you can access the open-source software you need for projects in any field.
Open Source
User interface makes learning easier
Anaconda Navigator is a desktop GUI that comes with Anaconda Individual Edition. It makes it easy to launch applications and manage packages and environments without using command-line commands.
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda.org.
Install Anaconda
Anaconda for the enterprise
With Anaconda's Team and Enterprise Editions, our stack can handle the most advanced enterprise data science requirements.
See Products
What is Anaconda used for?
Anaconda MovementPyViz Data VisualizationScalable Machine LearningGetting started with Anaconda
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda Cloud.
Documentation
Review documentation for Anaconda Individual Edition.Starter Video
Watch a short video to get started using Individual Edition.Support
Have a question or need to submit a pull request? Visit our Github page.Anaconda Installers
Windows
Python 3.8
64-Bit Graphical Installer (466 MB)32-Bit Graphical Installer (397 MB)MacOS
Python 3.8
Update Anaconda Mac
64-Bit Graphical Installer (462 MB)64-Bit Command Line Installer (454 MB)Linux
Anaconda Download Mac Os X 10 13 Download
Python 3.8
64-Bit (x86) Installer (550 MB)64-Bit (Power8 and Power9) Installer (290 MB)Anaconda Download Mac Os X 10 11
![Anaconda Anaconda](/uploads/1/2/6/4/126412708/185458226.jpg)
Additional Installers
The archive has older versions of Anaconda Individual Edition installers. The Miniconda installer homepage can be found here.