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CarND Term1 Starter Kit

screenshot of CarND Term1 Starter Kit

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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

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

Docker

  1. Follow the link provided to begin the installation process.
  2. Additional information about using Docker can be found in the provided resources.
  3. 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.