ABSTRACT

One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the first step can be the most daunting. We show the advantages of using cloud computing to solve this issue and demonstrate one way of implementing it to allow beginners to get started with coding immediately. Using user-friendly Jupyter notebooks along with the interactive capabilities possible through Binder, we provide introductory Python and SQL material that students can access without downloading anything. This lets students to get started with coding right away without getting frustrated figuring out what to install. Example introductory modules on using Python and SQL for data analysis are provided through GitHub at https://github.com/Coleridge-Initiative/ada-intro-python and https://github.com/Coleridge-Initiative/ada-intro-sql.

摘要

向初学者教授数据科学和编程技术的最大障碍之一就是技术的入门。有了可用的同一编码语言的多个版本（例如Python 2和Python 3），要安装的各种其他库和包以及要导航的集成开发环境，第一步可能是最艰巨的。我们展示了使用云计算解决此问题的优势，并演示了一种实现它的方法，使初学者可以立即开始进行编码。通过使用用户友好的Jupyter笔记本以及通过Binder可能实现的交互功能，我们提供了入门的Python和SQL资料，学生无需下载任何内容就可以访问它们。这样一来，学生就可以立即开始编写代码，而不会因此而烦恼，无法确定要安装的内容。通过GitHub的https://github.com/Coleridge-Initiative/ada-intro-python和https://github.com/Coleridge-Initiative/ada-intro-提供了有关使用Python和SQL进行数据分析的示例介绍模块。 sql。