Posted on February 25, 2017 by Paul

Alternative install options. Install using pip; Install as a container; Install using pip. For alpine, the following dependency packages are needed: py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo, and make. Compose can be installed from pypi using pip.

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Dec 04, 2013 Installing SSHPASS. SSHPass is a tiny utility, which allows you to provide the ssh password without using the prompt. This will very helpful for scripting. SSHPass is not good to use in multi-user environment. I have recently become frustrated with the new clang compiler included with Xcode 5. I was wondering what the best way to install GNU GCC on OS X would be. Things to consider: I don't want to use MacPorts, fink, homebrew or any other third party package manager. I would like to use the latest GCC, compiled from source, if possible. I have install Mountain Lion (Mac OS X 10.8) and now gcc doesn't seem to be available anymore. I've also installed Xcode 4.4 so there is no more /Developer directory. I need gcc both for mac ports and for ruby gems (that have native extensions). Does Xcode 4.4 include gcc or is there a way to install gcc? For example, for liblua-5.2, you need to install the package liblua-5.2-0-dev or similar. An experimental pre-packaged version of cardpeek now exists for OSX: cardpeek-0.8.4-beta-for-OSX.zip. Download, unzip and run the application bundle directly or copy it in your Application folder.

Where you download and run the scripts will determine which drive the OSX image will be created on; ARCH ONLY: an aur package manager, such as yay. If you don’t have yay (Arch User Repository package manager): ARCH LINUX USERS ONLY pacman -S git make automake gcc python go autoconf cmake pkgconf alsa-utils fakeroot –noconfirm. On Ubuntu and other Debian-based Linux systems, you would have to install the ruby-dev and build-essential packages in addition to ruby. Install or update Once you have Ruby and the build tools installed, the command below can be used to install SequenceServer.

For generic c compiling, you just need gcc, and for generic software installing, you need make. This kit includes those things, along with some GUI development tools that are just downright neat. The darwin development environment is just boring, on the other hand.

Updated 26 January 2020

This is a short tutorial about installing Python 3 with NumPy, SciPy and Matplotlib on Windows.

There is also a video version of this tutorial:


We’ll start by installing the latest stable version of Python 3, which at the time of this writing is 3.8. Head over to https://www.python.org/downloads/ and download the installer. The default Python Windows installer is 32 bits and this is what I will use in this article. If you need the 64 bits version of Python, check the Looking for a specific release? section from the above page.

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Start the installer and select Customize installation. On the next screen leave all the optional features checked. Finally, on the Advanced Options screen make sure to check Install for all users, Add Python to environment variables and Precompile standard library. Optionally, you can customize the install location. I’ve used C:Python38. You should see something like this:

Press the Install button and in a few minutes, depending on the speed of your computer, you should be ready. On the last page of the installer, you should also press the Disable path length limit:

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Now, to check if Python was correctly installed, open a Command Prompt (or a PowerShell) window. Press and hold the SHIFT key and right click with your mouse somewhere on your desktop, select Open command window here. Alternatively, on Windows 10, use the bottom left search box to search for cmd.

Write python in the command window and press Enter, you should see something like this:

Exit from the Python interpreter by writing quit() and pressing the Enter key.

Now, open a cmd window like before. Use the next set of commands to install NumPy, SciPy and Matplotlib:

After each of the above commands you should see Successfully installed ….

Launch Python from a cmd window and check the version of Scipy, you should see something like this:

Let’s try something a bit more interesting now, let’s plot a simple function with Matplotlib. First, we’ll import SciPy and Matplotlib with:

Next, we can define some points on the (0, 1) interval with:

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Now, let’s plot a parabola defined by the above interval:

You should see something like this:

If you want to learn more about Python and Matplotlib, I recommend reading Python Crash Course by Eric Matthes. The book is intended for beginners, but has a nice Data Visualization intro to Matplotlib chapter:

Another good Python book, for more advanced users, which also uses Matplotlib for some of the book projects is Python Playground by Mahesh Venkitachalam:


Estimated reading time: 7 minutes

You can run Compose on macOS, Windows, and 64-bit Linux.

Prerequisites

Docker Compose relies on Docker Engine for any meaningful work, so make sure youhave Docker Engine installed either locally or remote, depending on your setup.

  • On desktop systems like Docker Desktop for Mac and Windows, Docker Compose isincluded as part of those desktop installs.

  • On Linux systems, first install theDocker Enginefor your OS as described on the Get Docker page, then come back here forinstructions on installing Compose onLinux systems.

  • To run Compose as a non-root user, see Manage Docker as a non-root user.

Install Compose

Follow the instructions below to install Compose on Mac, Windows, Windows Server2016, or Linux systems, or find out about alternatives like using the pipPython package manager or installing Compose as a container.

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Install a different version

The instructions below outline installation of the current stable release(v1.28.6) of Compose. To install a different version ofCompose, replace the given release number with the one that you want. Composereleases are also listed and available for direct download on theCompose repository release page on GitHub.To install a pre-release of Compose, refer to the install pre-release buildssection.

Install Compose on macOS

Docker Desktop for Mac includes Compose alongwith other Docker apps, so Mac users do not need to install Compose separately.For installation instructions, see Install Docker Desktop on Mac.

Install Compose on Windows desktop systems

Docker Desktop for Windows includes Composealong with other Docker apps, so most Windows users do not need toinstall Compose separately. For install instructions, see Install Docker Desktop on Windows.

If you are running the Docker daemon and client directly on MicrosoftWindows Server, follow the instructions in the Windows Server tab.

Install Compose on Windows Server

Follow these instructions if you are running the Docker daemon and client directlyon Microsoft Windows Server and want to install Docker Compose.

  1. Start an “elevated” PowerShell (run it as administrator).Search for PowerShell, right-click, and chooseRun as administrator. When asked if you want to allow this appto make changes to your device, click Yes.

  2. In PowerShell, since GitHub now requires TLS1.2, run the following:

    Then run the following command to download the current stable release ofCompose (v1.28.6):

Note: On Windows Server 2019, you can add the Compose executable to $Env:ProgramFilesDocker. Because this directory is registered in the system PATH, you can run the docker-compose --version command on the subsequent step with no additional configuration.

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  1. Test the installation.

Install Compose on Linux systems

On Linux, you can download the Docker Compose binary from theCompose repository release page on GitHub.Follow the instructions from the link, which involve running the curl commandin your terminal to download the binaries. These step-by-step instructions arealso included below.

For alpine, the following dependency packages are needed:py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo and make.

  1. Run this command to download the current stable release of Docker Compose:

    To install a different version of Compose, substitute 1.28.6with the version of Compose you want to use.

    If you have problems installing with curl, seeAlternative Install Options tab above.

  2. Apply executable permissions to the binary:

Note: If the command docker-compose fails after installation, check your path.You can also create a symbolic link to /usr/bin or any other directory in your path.

For example:

  1. Optionally, install command completion for thebash and zsh shell.

  2. Test the installation.

Alternative install options

Install using pip

For alpine, the following dependency packages are needed:py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo, and make.

Compose can be installed frompypi using pip. If you installusing pip, we recommend that you use avirtualenv because many operatingsystems have python system packages that conflict with docker-composedependencies. See the virtualenvtutorial to getstarted.

If you are not using virtualenv,

pip version 6.0 or greater is required.

Install as a container

Compose can also be run inside a container, from a small bash script wrapper. Toinstall compose as a container run this command:

Install pre-release builds

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If you’re interested in trying out a pre-release build, you can download releasecandidates from the Compose repository release page on GitHub.Follow the instructions from the link, which involves running the curl commandin your terminal to download the binaries.

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Pre-releases built from the “master” branch are also available for download athttps://dl.bintray.com/docker-compose/master/.

Pre-release builds allow you to try out new features before they are released,but may be less stable.

Upgrading

If you’re upgrading from Compose 1.2 or earlier, remove ormigrate your existing containers after upgrading Compose. This is because, as ofversion 1.3, Compose uses Docker labels to keep track of containers, and yourcontainers need to be recreated to add the labels.

If Compose detects containers that were created without labels, it refusesto run, so that you don’t end up with two sets of them. If you want to keep usingyour existing containers (for example, because they have data volumes you wantto preserve), you can use Compose 1.5.x to migrate them with the followingcommand:

Alternatively, if you’re not worried about keeping them, you can remove them.Compose just creates new ones.

Uninstallation

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To uninstall Docker Compose if you installed using curl:

To uninstall Docker Compose if you installed using pip:

Got a “Permission denied” error?

If you get a “Permission denied” error using either of the abovemethods, you probably do not have the proper permissions to removedocker-compose. To force the removal, prepend sudo to either of the abovecommands and run again.

Where to go next

compose, orchestration, install, installation, docker, documentation