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bash Anaconda3-2022.05-Linux-x86_64.sh

Welcome to Anaconda3 2022.05

In order to continue the installation process, please review the license agreement. Please, press ENTER to continue

End User License Agreement - Anaconda Distribution

Copyright 2015-2022, Anaconda, Inc.

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Intel Math Kernel Library


Anaconda Distribution provides access to re-distributable, run-time, shared-libr ary files from the Intel Math Kernel Library (“MKL binaries”).

Copyright 2018 Intel Corporation. License available at https://software.intel.c om/en-us/license/intel-simplified-software-license (the “MKL License”).

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You are specifically authorized to use and redistribute the MKL binaries with yo ur installation of Anaconda Distribution subject to the terms set forth in the M KL License. You are also authorized to redistribute the MKL binaries with Anacon da Distribution or in the Anaconda package that contains the MKL binaries. If ne eded, instructions for removing the MKL binaries after installation of Anaconda Distribution are available at https://docs.anaconda.com.

cuDNN Software


Anaconda Distribution also provides access to cuDNN software binaries (“cuDNN bi naries”) from NVIDIA Corporation. You are specifically authorized to use the cuD NN binaries with your installation of Anaconda Distribution subject to your comp liance with the license agreement located at https://docs.nvidia.com/deeplearnin g/sdk/cudnn-sla/index.html. You are also authorized to redistribute the cuDNN bi naries with an Anaconda Distribution package that contains the cuDNN binaries. Y ou can add or remove the cuDNN binaries utilizing the install and uninstall feat ures in Anaconda Distribution.

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Export; Cryptography Notice

     ]] -- Version =

You must comply with all domestic and international export laws and regulations that apply to the software, which include restrictions on destinations, end user s, and end use. Anaconda Distribution includes cryptographic software. The coun try in which you currently reside may have restrictions on the import, possessio n, use, and/or re-export to another country, of encryption software. BEFORE usin g any encryption software, please check your country's laws, regulations and pol icies concerning the import, possession, or use, and re-export of encryption sof tware, to see if this is permitted. See the Wassenaar Arrangement http://www.was senaar.org/ for more information.

Anaconda has self-classified this software as Export Commodity Control Number (E CCN) EAR99 which includes mass market information security software using or per forming cryptographic functions with asymmetric algorithms. No license is requir ed for export of this software to non-embargoed countries.

The Intel Math Kernel Library contained in Anaconda Distribution is classified b y Intel as ECCN 5D992.c with no license required for export to non-embargoed cou ntries.

The following packages listed on https://www.anaconda.com/cryptography are inclu ded in the repository accessible through Anaconda Distribution that relate to cr yptography.

Last updated February 25, 2022

Do you accept the license terms? [yes|no] [no] »> yes

Anaconda3 will now be installed into this location:

/home/USERNAME/anaconda3

- Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below

[/home/USERNAME/anaconda3] »>

PREFIX=/home/USERNAME/anaconda3

Unpacking payload …

Collecting package metadata (current_repodata.json): done

Solving environment: done

  1. Package Plan ##

environment location: /home/USERNAME/anaconda3

 added / updated specs:

The following NEW packages will be INSTALLED:

Preparing transaction: done Executing transaction: /

Installed package of scikit-learn can be accelerated using scikit-learn-intelex.

More details are available here: https://intel.github.io/scikit-learn-intelex

For example:

$ conda install scikit-learn-intelex

$ python -m sklearnex my_application.py

done

installation finished.

Do you wish the installer to initialize Anaconda3 by running conda init? [yes|no]

[no] »> yes

]] – Version > For changes to take effect, close and re-open your current shell

If you'd prefer that conda's base environment not be activated on startup,

set the auto_activate_base parameter to false:

conda config –set auto_activate_base false

Thank you for installing Anaconda3!

Working with Python and Jupyter is a breeze in DataSpell. It is an IDE designed for exploratory data analysis and ML. Get better data insights with DataSpell.

DataSpell for Anaconda is available at: https://www.anaconda.com/dataspell

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