![]() run ( hello ))Īssuming there are no errors, the newly installed and configured environment is ready for developing with tensorflow. As recommended on the Tensorflow website, type the following into the terminal window.A terminal window with the environment settings created will pop up.Select the arrow next to the Tensorflow environment name.Make sure the Tensorflow environment is selected.To validate the installation, using the newly created Tensorflow environment: Select the checkbox in the left column next to the two tensorflow package names.Type ‘tensorflow’ in the Search Packages text input field and hit Return.Select ‘Not Installed’ from the drop-down menu at the top of the right window pane.Tensorflow packages can now be installed into the new environment. Select version 3.6 in the drop-down menu.In the popup menu, type ‘Tensorflow’ in the Name text entry field.Select the Create button at the bottom of the Environments column.It will contain the base packages necessary, the latest version of Python and Tensorflow will be installed. To install the Tensorflow packages, a new and clean environment can be created. Make sure Python is the most recent version. Select the version number in the Version column to define packages to upgrade.Select Upgradable from the drop-down menu.Select the Environment to update (in this case Root).Select the Environments menu item in the left column.The latest version of Python should be installed (3.6 at the time of this writing) should be used. It’s typically best to upgrade existing packages to current versions. Multiple environments with different configurations can be set up here over time. By default, there is one Root environment. In the Navigator application, select the Environments menu item in the far left column. Then, launch the Anaconda-Navigator application. $ conda update anaconda anaconda-navigator To quickly update using a command line interface: After installation, it’s best to make sure the latest versions are installed. Anaconda can be installed by following the instructions at the Anaconda download site. Packages, environments, and channels are easy to manage with this GUI. The growingly more useful Tensorflow libraries can be used to experiment within an Anacondo environment.Īnaconda Navigator is a desktop graphical user interface included in Anaconda. ![]() Use the conda install command to install 720+ additional conda packages from the Anaconda. It is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others. It’s also a good place to experiment with scientific and machine intelligence packages. Miniconda is a free minimal installer for conda. Anaconda manages libraries and configurable environments. Although straightforward, it doesn’t include installing in an Anaconda Navigator application environment.Īnaconda is a free, open source, community supported development environment for Python and R. Included are instructions for virtualenv, a native pip environment, using a Docker container, Anaconda command line, and installing from sources. The official installation instructions for MacOS are provided at. The Tensorflow website has good installation instructions for the MAC OS X environment. ![]()
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