Overview

Teaching: 0 min
Exercises: 0 min

Questions

• How can I make sure the whole team (or lab) gets the same results?

• How can I simplify setup and dependencies for people to use my code or reproduce my results?

Objectives

• Identify an environment, dependencies, and an environment manager

• Use conda to install a different version of python

• Use conda to create an environment per project

• Store a projects dependencies

Environments and environment managers

An environment consists of a certain Python version and some packages

Why use one:

• to delvier code and keep it the same versions
• to contou use ribute to a package y

how to chose which of the main strategies to use: virtualenv and pip or conda

Dependencies

Conda Python installs

Conda for projects

Key Points

• A python dependency is another, independent package that a given project uses and requires to be able to run

• An environment is

• An environment manager enables one step installing and documentation of dependencies, including versions

• Conda is the included environment manager with Anaconda; it is also an installer

• Other popular environment managers are FIXME