{"id":24872,"date":"2019-11-21T12:15:42","date_gmt":"2019-11-21T10:15:42","guid":{"rendered":"https:\/\/www.webcodegeeks.com\/?p=24872"},"modified":"2019-11-20T13:35:58","modified_gmt":"2019-11-20T11:35:58","slug":"how-to-install-anaconda-or-miniconda-in-colab","status":"publish","type":"post","link":"https:\/\/www.webcodegeeks.com\/python\/how-to-install-anaconda-or-miniconda-in-colab\/","title":{"rendered":"How to install Anaconda or Miniconda in Colab"},"content":{"rendered":"\n

Colab<\/a> is the Google’s platform for working with Python notebooks and practice Deep Learning using different frameworks. It is a powerful platform, there is availability of GPUs or TPUs, it allows to use your Google Drive space for notebooks and data, has a friendly user interface and lots of useful features, but in order to install\/update Python packages, it comes by default only with pip <\/i>and no availability for conda<\/i>. If you need to import a Python package which is available in Anaconda<\/a>, but not in PyPi <\/a>you need to install Anaconda <\/a>or Miniconda <\/a>yourself from a notebook. In this post I am explaining the simple steps to do it.<\/p>\n\n\n\n

Anaconda installation<\/u>

Create your notebook and from a code cell download the Anaconda installer:<\/p>\n\n\n\n

!wget -c https:\/\/repo.continuum.io\/archive\/Anaconda3-5.1.0-Linux-x86_64.sh<\/code><\/p>\n\n\n\n

This is the version that works fine for me. I have tried also with the latest release 2019.10, but the configuration then would have extra complexity.<\/p>\n\n\n\n

Now you need to make the downloaded file executable:<\/p>\n\n\n\n

!chmod +x Anaconda3-5.1.0-Linux-x86_64.sh<\/code><\/p>\n\n\n\n

and then you can run it:<\/p>\n\n\n\n

!bash .\/Anaconda3-5.1.0-Linux-x86_64.sh -b -f -p \/usr\/local <\/code><\/p>\n\n\n\n

Before installing packages, a last configuration setting is needed:<\/p>\n\n\n\n

import sys
sys.path.append('\/usr\/local\/lib\/python3.6\/site-packages\/')<\/code><\/p>\n\n\n\n

This way the path to the packages managed through conda has been appended to the PYTHONPATH environment variable.<\/p>\n\n\n\n

Miniconda installation<\/u>

In most cased Miniconda would be enough. This is the way you can install it.

Create your notebook and from a code cell download the installer:<\/p>\n\n\n\n

!wget https:\/\/repo.continuum.io\/miniconda\/Miniconda3-4.5.4-Linux-x86_64.sh<\/code><\/p>\n\n\n\n

Make it executable:<\/p>\n\n\n\n

!chmod +x Miniconda3-4.5.4-Linux-x86_64.sh<\/code><\/p>\n\n\n\n

and finally execute it.<\/p>\n\n\n\n

!bash .\/Miniconda3-4.5.4-Linux-x86_64.sh -b -f -p \/usr\/local<\/code><\/p>\n\n\n\n

And you’re ready to go.<\/p>\n\n\n\n

\n\n\n\n
\n

Published on Web Code Geeks with permission by Guglielmo Iozzia, partner at our WCG program<\/a>. See the original article here: How to install Anaconda or Miniconda in Colab<\/a><\/p>\n

Opinions expressed by Web Code Geeks contributors are their own.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Colab is the Google’s platform for working with Python notebooks and practice Deep Learning using different frameworks. It is a powerful platform, there is availability of GPUs or TPUs, it allows to use your Google Drive space for notebooks and data, has a friendly user interface and lots of useful features, but in order to …<\/p>\n","protected":false},"author":15539,"featured_media":1651,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53],"tags":[],"class_list":["post-24872","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"yoast_head":"\nHow to install Anaconda or Miniconda in Colab - Web Code Geeks - 2026<\/title>\n<meta name=\"description\" content=\"Interested to learn about Anaconda? 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