Anaconda is the most popular python data science and machine learning platform, used for large-scale data processing, predictive analytics, and scientific computing. Anaconda distribution ships with more than 1,000 data packages, the conda command-line tool and with a desktop graphical user interface called Anaconda Navigator.This tutorial will go through the steps of downloading and installing Anaconda for Python 3 on CentOS 7.
At the time of writing this article, the latest stable version of Anaconda is version 5.3.1. Before downloading the Anaconda installer script visit the Anaconda Downloads page and check if there is a new version of Anaconda for Python 3 available for download.
Perform the following steps to install Anaconda on CentOS 7:
1、 Download the Anaconda Installation Script.
Navigate to the
/tmp directory and download the Anaconda installation script using
the link that you copied from the Downloads page:
cd /tmp curl -O https://repo.anaconda.com/archive/Anaconda3-5.3.1-Linux-x86_64.sh
The download may take some time depending on your connection speed.
2、 Verify the Data Integrity of the Script.
sha256sum command to verify the script checksum:
You should see an output like the following:
Make sure the hash printed from the command above matches the one available at the Anaconda with Python 3 on 64-bit Linux page for your appropriate Anaconda version.
3、 Run the Anaconda Installation Script
To start the Anaconda installation process run the installation script:
You should see an output like the following:
Welcome to Anaconda3 5.3.1
In order to continue the installation process, please review the license
agreement. Please, press ENTER to continue
ENTER to continue and then press
ENTER to scroll through the license. Once you’re done reviewing the license, you’ll be asked to approve the license terms:
Do you accept the license terms? [yes|no]
yes to accept the license and you’ll be prompted to choose the installation location.
Anaconda3 will now be installed into this location:
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
If you get an error saying
bunzip2: command not found, install the
bzip2 package with:
sudo yum install bzip2.
The installation may take some time and once it is completed, the following output will be displayed:
Do you wish the installer to initialize Anaconda3
in your /home/linuxize/.bashrc ? [yes|no]
If you want to use the
conda command type
ENTER and you’ll be presented the following output:
Appending source /home/linuxize/anaconda3/bin/activate to /home/linuxize/.bashrc A backup will be made to: /home/linuxize/.bashrc-anaconda3.bak For this change to become active, you have to open a new terminal. Thank you for installing Anaconda3!
The installer will also ask you whether you would like to download and install Visual Studio Code.
Anaconda is partnered with Microsoft! Microsoft VSCode
is a streamlined code editor with support for development operations like debugging, task running and version control.
To install Visual Studio Code, you will need:
- Administrator Privileges|
- Internet connectivity Visual Studio Code License: https://code.visualstudio.com/license Do you wish to proceed with the installation of Microsoft VSCode? [yes|no]
To activate the Anaconda installation load the new
PATH environment variable which was added by the Anaconda installer into the current shell session with the following
Verify the Installation
You can verify your Anaconda installation using the
conda command. For example to display information about current conda install type:
active environment : base active env location : /home/linuxize/anaconda3 shell level : 1 user config file : /home/linuxize/.condarcpopulated config files : conda version : 4.5.11 conda-build version : 3.15.1 python version : 3.7.0.final.0 base environment : /home/linuxize/anaconda3 (writable) channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/linux-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/pro/linux-64 https://repo.anaconda.com/pkgs/pro/noarch package cache : /home/linuxize/anaconda3/pkgs /home/linuxize/.conda/pkgs envs directories : /home/linuxize/anaconda3/envs /home/linuxize/.conda/envs platform : linux-64 user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/3.10.0-957.1.3.el7.x86_64 centos/7 glibc/2.17 UID:GID : 0:0 netrc file : None offline mode : False