Install using Homebrew.In your terminal type the following and press return:ĭuring the installation process you might be the following output asking you to review the license agreement: TensorFlow¶Īnaconda is a pre-packaged Python distribution for scientific users.Unlike other Python distributions, this means that most additional functionality that we need to do numerical computing, statistics, plotting and the like come already installed - which saves us a lot of time. Once completed, edit your shell profile – $HOME/.bash_profile if you are using Bash or $HOME/.zshrc if you are using Zsh – and add the following. Download the latest version from Oracle and install on your local machine. Spark and Hadoop use version 8 of the Java Development Kit (JDK 8). Optionally, you can install the following packages using Homebrew Cask.
I also recommend using Homebrew Cask to install graphical applications like Atom and Google Chrome.Īfter you have installed Homebrew, update your package index.įinally, install the following packages required for this course. You can install Homebrew on your system by executing the following command in your terminal. Chocolatey is a popular package manager for Windows. MacPorts and homebrew are two popular package managers for macOS. Debian Linux systems, like Ubuntu, use aptitude. Package managers are commonly used on Unix and Linux distributions. If you are using macOS as your primary development environment, I recommend using a package manager like homebrew.Ī package manager is a tool that automates the process of installing, updating, configuring, and removing computer programs. Please see resources section in case you face any issue in that step. In the same terminal just simple type: $ brew cask install anaconda. 新增 DGL, Fedora Rawhide, OpenBSD, Raspbian Addons, Ubuntu Kylin, Ubuntu Cloud Images, Zorinos ISOs 镜像. However, due to a recent update on the availability of Java through Homebrew, these commands.
I have encountered lots of tutorials from 2019 on how to install Spark on MacOS, like this one. Unlike other Python distributions, this means that most additional functionality that we need to do numerical computing, statistics, plotting and the like come already installed - which saves us a lot of time. Anaconda is a pre-packaged Python distribution for scientific users.