colab 导入项目
介绍(Intro)
Google Colab (short for Colaboratory) is an online platform for data science hosted by Google. It consists of an online notebook that runs in the cloud, using no resources on your local machine.
Google Colab(Colaboratory的缩写)是Google托管的数据科学在线平台。 它由一个运行在云中的在线笔记本组成,不使用本地计算机上的任何资源。
Many data science students and professionals love this solution, because it combines convenience, portability and computational power in one package. You don’t need to install packages and use virtual environments. It gives you portability with zero effort, which is a big bonus if you have to switch computers very often (e.g. home and office). It allows you to migrate your heavy computations to the cloud and save you poor laptop from a meltdown. Finally, you can avoid downloading huge datasets locally.
许多数据科学专业的学生和专业人士都喜欢这种解决方案,因为它将解决方案的便捷性,可移植性和计算能力集于一身。 您无需安装软件包并使用虚拟环境。 它使您轻而易举地实现了便携性,如果您必须经常切换计算机(例如,家庭和办公室),这将是一大优势。 它使您可以将繁重的计算迁移到云中,并避免笔记本电脑崩溃。 最后,您可以避免在本地下载庞大的数据集。
However, this environment constrains you to a single-notebook environment, with all the issues (as explained here and here) that derive. During my time with Colab, I have collected a few hacks that I use daily and help me make the most of the platform. You can find them scattered across the internet, but this is to my knowedge the first attempt to put them in one article.
但是,此环境将您限制在单一笔记本电脑环境中,并带来了所有问题(如此处和此处所述)。 在Colab期间,我收集了一些日常使用的技巧,可帮助我充分利用该平台。 您可以发现它们分散在Internet上,但是据我所知ÿ