Anaconda Distribution on Google Cloud

Assuming that you have access to any cloud provider or any cloud instance like AWS, GCP, Rackspace, DigitalOcean, Linode, etc. The instance used has the following specification. This is the Guide to install and configure Anaconda Distribution for Data Science Projects. This guide is a part of DevOps for Data Science.

System Requirements

• CPU: 64-bit 2.8 GHz
• RAM: 4 GB (min)
• Storage: 30 GB.
• License: Free use & redistribution under the terms of Anaconda End User License.
• OS: Windows 7,8,10, macOS 10.10+, or, Ubuntu, RedHat, CentOS 6+, and others.
• System architecture: 64-bit x86, 32-bit x86 with Windows or Linux

GUIDE

• Part-01: Creating an Instance on the Google Cloud Platform
• Part-02: Installing and configuring Anaconda Distribution – Traditional
• Part-03: Updating and Upgrading Anaconda Distribution

Part-01: CREATING INSTANCE ON GOOGLE CLOUD
Step-01: Name the Instance and select the Region and Zone



Step-02: Select the Machine Type



Step-03: Select the Boot Disk and Storage Options


Step-04: Select OS


Step-05: Verify the Instance


Step-06: Add the DNS configuration


Step-07: Login to the Server


Step-08: Install pre-requisites and update cache


Step-09: Verify the OS release


Step-10: Done – Setting up the instance is completed

Part-02: Installing & configuring Anaconda - Traditional

Step-01: Download the Anaconda Python distribution


Step-02: Python 2.7.x will be used in this guide


Step-03: Create the directory structure for installation


Step-04: Install Anaconda Distribution


Step-05: Accept the License


Step-06: Select the Installation Path


Step-07: Add to the PATH variable


Step-08: Do not install VS Code


Step-09: Verify Anaconda installation


Part-03: Updating and Upgrading Anaconda Distribution
Step-01: Updating Conda


Step-02: Update Anaconda


Step-03: Update All Packages




Step-04: Testing Jupyter Notebooks