If you clicked on this link you were taken to a page hosted on a First you willĪccess notebooks through links, either from theĬourse outline or from online chapters of this In the remainder of this section we’ll discuss As an extra bonus most of theĭocumentation of features in IPython notebook willĪlso work in Jupyter notebook, for example,Ĭhapter One of the Python Data Science Handbook (2017, There is plenty of excellent help available for usingĬolab notebooks on the website. The basic modules we’ll be using in this course. In fact the version of python currentlyĪvailable through Google colab seems to have all Not need to have python on your machine to interact with Is running on some Python server on the cloud. The key difference between using a Jupyter notebook andĪ Google colab notebook is that the colab notebook Throughout this course whateverĪpply to either Jupyter notebooks or Google Colab notebooks. To work with local copies of a notebook, thingsĬan freely switch back and forth between Colab notebooksĪnd Jupyter notebooks because they have compatible ways Those of you have used IPython, the notebooks willįeel very natural. With python, just like IPython is, but Goole colab notebook uses your browser, has a very natural command interface,Īnd makes an editable record of your Python sessionĪs you go. Google colab notebook is really just another way of interacting Jupyter notebooks (discussed in the next section), Google colab notebooks are based in many ways on The option we will discuss here is the Google Colab notebooks.
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