Overview

The CarND Term1 Starter Kit is a software package designed to provide unified software dependency support for students enrolled in Term 1 of the Udacity Self-Driving Car Engineer Nanodegree. The package is built around Python 3 and offers two installation options: Anaconda Environment and Docker. Each option has its own set of pros and cons, which will be discussed further in this analysis.

Features

Anaconda Environment: Provides a straightforward way to set up the required software dependencies.
More Community Support: The Anaconda option has a larger community base, which can be helpful for troubleshooting and getting support.
More Heavily Adopted: The Anaconda option is widely adopted and has been used by many self-driving car engineers.

Anaconda Environment

To get started, follow the link provided.
For more detailed information about setting up the Anaconda Environment, refer to the additional resources.
Supported Systems: Linux (CPU), Mac (CPU), Windows (CPU)

Docker

Follow the link provided to begin the installation process.
Additional information about using Docker can be found in the provided resources.
Supported Systems: AWS (CPU, GPU), Linux (CPU), Mac (CPU), Windows (CPU)

Summary

The CarND Term1 Starter Kit is a comprehensive software package designed to support students enrolled in the Udacity Self-Driving Car Engineer Nanodegree. It offers two installation options: Anaconda Environment and Docker. Each option has its own advantages and disadvantages, with the Anaconda option providing more community support and being more widely adopted. Overall, this starter kit provides a convenient and efficient way for students to set up the necessary software dependencies for the course.

Udacity

CarND Term1 Starter Kit

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