Anaconda Download For Mac

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Install anaconda mac os
  1. Anaconda 3.6 Download For Mac
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  3. Anaconda Python Download Windows 10

Step 1) Go to and Download Anaconda for Python 3.6 for your OS. By default, Chrome selects the downloading page of your system. In this tutorial, installation is done for Mac. If you run on Windows or Linux, download Anaconda 5.1 for Windows installer or Anaconda 5.1 for Linux installer.

There are different ways to install scikit-learn:

  • Install the latest official release. Thisis the best approach for most users. It will provide a stable versionand pre-built packages are available for most platforms.

  • Install the version of scikit-learn provided by youroperating system or Python distribution.This is a quick option for those who have operating systems or Pythondistributions that distribute scikit-learn.It might not provide the latest release version.

  • Building the package from source. This is best for users who want thelatest-and-greatest features and aren’t afraid of runningbrand-new code. This is also needed for users who wish to contribute to theproject.

  1. Download Anaconda Python 3.5 For Mac Free Python runs on macOS, Windows, Linux/Unix, OS/2, Amiga, Palm Handhelds, and Nokia mobile phones. The tool has also been ported to the Java and.NET virtual machines.
  2. The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Installing the latest release¶

Operating System
Install the 64bit version of Python 3, for instance from Python 3 using homebrew (brew install python) or by manually installing the package from python3 and python3-pip using the package manager of the Linux Distribution.Install conda (no administrator permission required).

Then run:

In order to check your installation you can use

Note that in order to avoid potential conflicts with other packages it isstrongly recommended to use a virtual environment, e.g. python3 virtualenv(see python3 virtualenv documentation) or conda environments.

Anaconda Download For Mac

Using an isolated environment makes possible to install a specific version ofscikit-learn and its dependencies independently of any previously installedPython packages.In particular under Linux is it discouraged to install pip packages alongsidethe packages managed by the package manager of the distribution(apt, dnf, pacman…).

Note that you should always remember to activate the environment of your choiceprior to running any Python command whenever you start a new terminal session.

If you have not installed NumPy or SciPy yet, you can also install these usingconda or pip. When using pip, please ensure that binary wheels are used,and NumPy and SciPy are not recompiled from source, which can happen when usingparticular configurations of operating system and hardware (such as Linux ona Raspberry Pi).

If you must install scikit-learn and its dependencies with pip, you can installit as scikit-learn[alldeps].

Scikit-learn plotting capabilities (i.e., functions start with “plot_”and classes end with “Display”) require Matplotlib (>= 2.1.1). For running theexamples Matplotlib >= 2.1.1 is required. A few examples requirescikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examplesrequire seaborn >= 0.9.0.


Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.Scikit-learn 0.21 supported Python 3.5-3.7.Scikit-learn 0.22 supported Python 3.5-3.8.Scikit-learn now requires Python 3.6 or newer.


For installing on PyPy, PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+are required.


Third party distributions of scikit-learn¶

Some third-party distributions provide versions ofscikit-learn integrated with their package-management systems.

These can make installation and upgrading much easier for users sincethe integration includes the ability to automatically installdependencies (numpy, scipy) that scikit-learn requires.

The following is an incomplete list of OS and python distributionsthat provide their own version of scikit-learn.

Arch Linux¶

Anaconda 3.6 Download For Mac

Arch Linux’s package is provided through the official repositories aspython-scikit-learn for Python.It can be installed by typing the following command:


The Debian/Ubuntu package is splitted in three different packages calledpython3-sklearn (python modules), python3-sklearn-lib (low-levelimplementations and bindings), python3-sklearn-doc (documentation).Only the Python 3 version is available in the Debian Buster (the more recentDebian distribution).Packages can be installed using apt-get:


The Fedora package is called python3-scikit-learn for the python 3 version,the only one available in Fedora30.It can be installed using dnf:


scikit-learn is available via pkgsrc-wip:

MacPorts for Mac OSX¶

The MacPorts package is named py<XY>-scikits-learn,where XY denotes the Python version.It can be installed by typing the followingcommand:

Canopy and Anaconda for all supported platforms¶

Canopy and Anaconda both ship a recentversion of scikit-learn, in addition to a large set of scientific pythonlibrary for Windows, Mac OSX and Linux.

Anaconda offers scikit-learn as part of its free distribution.

Anaconda Download For Mac

Intel conda channel¶

Intel maintains a dedicated conda channel that ships scikit-learn:

This version of scikit-learn comes with alternative solvers for some commonestimators. Those solvers come from the DAAL C++ library and are optimized formulti-core Intel CPUs.

Note that those solvers are not enabled by default, please refer to thedaal4py documentationfor more details.

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Compatibility with the standard scikit-learn solvers is checked by running thefull scikit-learn test suite via automated continuous integration as reportedon

WinPython for Windows¶

The WinPython project distributesscikit-learn as an additional plugin.


Error caused by file path length limit on Windows¶

It can happen that pip fails to install packages when reaching the default pathsize limit of Windows if Python is installed in a nested location such as theAppData folder structure under the user home directory, for instance:

In this case it is possible to lift that limit in the Windows registry byusing the regedit tool:

  1. Type “regedit” in the Windows start menu to launch regedit.

  2. Go to theComputerHKEY_LOCAL_MACHINESYSTEMCurrentControlSetControlFileSystemkey.

  3. Edit the value of the LongPathsEnabled property of that key and setit to 1.

  4. Reinstall scikit-learn (ignoring the previous broken installation):


Using Anaconda in a commercial setting? You may need to use Anaconda Commercial Edition. If you have already purchased Commercial Edition, please proceed to the Authenticating Commercial Edition section after completing your installation here.

Haven’t purchased Commercial Edition yet? Visit to get started.

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  1. Download the Anaconda installer.

  2. RECOMMENDED: Verify data integrity with SHA-256.For more information on hashes, see What about cryptographic hash verification?

  3. Double click the installer to launch.


    To prevent permission errors, do not launch the installer from theFavorites folder.


    If you encounter issues during installation, temporarilydisable your anti-virus software during install, then re-enable it after theinstallation concludes. If you installed for all users, uninstallAnaconda and re-install it for your user only and try again.

  4. Click Next.

  5. Read the licensing terms and click “I Agree”.

  6. Select an install for “Just Me” unless you’re installing for all users(which requires Windows Administrator privileges) and click Next.

  7. Select a destination folder to install Anaconda and click the Next button. See FAQ.


    Install Anaconda to a directory path that does not contain spaces or unicode characters.


    Do not install as Administrator unless admin privileges are required.

  8. Choose whether to add Anaconda to your PATH environment variable.We recommend not adding Anaconda to the PATH environment variable, since thiscan interfere with other software. Instead, use Anaconda software by openingAnaconda Navigator or the Anaconda Prompt from the Start Menu.

  9. Choose whether to register Anaconda as your default Python. Unless you planon installing and running multiple versions of Anaconda or multiple versions ofPython, accept the default and leave this box checked.

  10. Click the Install button. If you want to watch the packages Anaconda is installing, click Show Details.

  11. Click the Next button.

  12. Optional: To install PyCharm for Anaconda, click on the link to

    Or to install Anaconda without PyCharm, click the Next button.

  13. After a successful installation you will see the “Thanks for installing Anaconda” dialog box:

  14. If you wish to read more about Anaconda Cloud and howto get started with Anaconda, check the boxes “Learn more about Anaconda Cloud” and “Learnhow to get started with Anaconda”. Click the Finish button.

  15. Verify your installation.

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If you are behind a company proxy, you may need to do some additional set up.See how to set up your proxy.

What’s next?¶

Get started programming quickly with Anaconda in the Getting started with Anaconda guide.