DevOps for Data Science Book Club
Welcome
Introduction
I DevOps Lessons for Data Science
1 Code promotion and integration
2 Environments as Code
3 Data Pipeline Architecture
4 Designing Your Application Layers
5 Logging and Monitoring
II Tools of the Trade
6 The Terminal
7 Connecting Securely with SSH
8 Getting Comfortable on the Command Line
9 Docker for Data Science
III The Cloud
10 Getting Started with the Cloud
11 Basic Linux SysAdmin
12 Intro to Computer Networks
13 DNS allows for human-readable addresses
14 You should use SSL/HTTPS
15 Choosing the Right Server for You
IV Making it Enterprise-Grade
16 Open Source Data Science in the Enterprise
17 Enterprise Networking
18 Auth in Enterprise
19 Enterprise Server Management
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DevOps for Data Science Book Club

Sharing The Environment

Now that you have your lock file, you can send your project over to a friend/colleague and they should:

Download the project
Move into the project directory through the cmd line in 2 ways: 1 Open the .RProj file with RStudio 2setwd('<project-dir>') e.g. if you made a projects folder in your home directory and a project within your projects folder named my_project: setwd("~/projects/my_project")
renv::init()
renv::restore() - if this didn’t happen automatically