By Jake VanderPlas
The Python info technology instruction manual presents a connection with the breadth of computational and statistical tools which are primary to data-intensive technology, learn, and discovery. individuals with a programming heritage who are looking to use Python successfully for information technological know-how projects will the right way to face various difficulties: e.g., how am i able to learn this knowledge layout into my script? How am i able to manage, rework, and fresh this information? How am i able to visualize this sort of facts? How am i able to use this information to realize perception, solution questions, or to construct statistical or desktop studying models?
This e-book is a reference for day by day Python-enabled info technology, overlaying either the computational and statistical talents essential to successfully paintings with . The dialogue is augmented with widespread instance purposes, displaying how the extensive breadth of open resource Python instruments can be utilized jointly to investigate, control, visualize, and research from data.
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Extra info for Python Data Science Handbook: Essential Tools for Working with Data
Pwd In [ 7 ]: print ( directory ) [ '/Users/jakevdp/notebooks/tmp/myproject' ] Note that these results are not returned as lists, but as a special shell return type defined in IPython: In [ 8 ]: type ( directory ) IPython . utils . text . SList This looks and acts a lot like a Python list, but has additional functionality, such as the grep and fields methods and the s , n , and p properties that allow you to search, filter, and display the results in convenient ways. For more information on these, you can use IPython’s built-in help features.
It’s when you go beyond these basics that the shell approach becomes really powerful. Shell Commands in IPython You can use any command that works at the command line in IPython by prefixing it with the ! character. For example, the ls , pwd , and echo commands can be run as follows : In [ 1 ]: ! ls myproject . txt In [ 2 ]: ! pwd / home / jake / projects / myproject In [ 3 ]: ! echo "printing from the shell" printing from the shell Passing Values to and from the Shell Shell commands can not only be called from IPython, but can also be made to interact with the IPython namespace.
Len ( object ) -> integer Return the number of items of a sequence or mapping . Depending on your interpreter, this information may be displayed as inline text, or in some separate pop-up window. Because finding help on an object is so common and useful, IPython introduces the ? character as a shorthand for accessing this documentation and other relevant information : In [ 2 ]: len? Type : builtin_function_or_method String form : < built - in function len > Namespace : Python builtin Docstring : len ( object ) -> integer Return the number of items of a sequence or mapping .