5/17/2023 0 Comments Jupyterlab tab completion![]() IPython shell, and builds on it a rich set of dynamic displayĬapabilities. The Jupyter notebook is a browser-based graphical interface to the The features of the notebook that make it useful in understanding data The more useful “magic commands” that can speed up common tasks inĬreating and using data science code. Next, we will go into a bit more depth on some of Science, focusing especially on the syntax it offers beyond the standardįeatures of Python. Some of the IPython features that are useful to the practice of data This chapter will start by stepping through ![]() IPython is about using Python effectively for interactive scientific andĭata-intensive computing. Manuscript for this book was composed as a set of IPython notebooks. As an example of the usefulness of the notebookįormat, look no further than the page you are reading: the entire Notebook structure, which encompasses notebooks for Julia, R, and other The IPython notebook is actually a special case of the broader Jupyter Provides a browser-based notebook that is useful for development,Ĭollaboration, sharing, and even publication of data science results. In addition, IPython isĬlosely tied with the Jupyter project, which Provides a number of useful syntactic additions to the language we’llĬover the most useful of these additions here. ![]() The engine of our data science task, you might think of IPython as theĪs well as being a useful interactive interface to Python, IPython also ![]() “Tools for the entire lifecycle of research computing.” If Python is Has since grown into a project aiming to provide, in Perez’s words, Started in 2001 by Fernando Perez as an enhanced Python interpreter, and IPython (short for Interactive Python) was IPython plus a text editor (in my case, Emacs orĪtom depending on my mood). Surprises people: my preferred environment is Often asked which one I use in my own work. There are many options for development environments for Python, and I’m ![]()
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