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Python Data Analysis Library¶. pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.. pandas is a NumFOCUS sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to donate to the project.2.4.1 String literals - PythonString literals may optionally be prefixed with a letter `r' or `R'; such strings are called raw strings and use different rules for backslash escape sequences. In triple-quoted strings, unescaped newlines and quotes are allowed (and are retained), except that three unescaped quotes in a row terminate the string.pathlib Object-oriented filesystem paths Python 3.8.0 , py?r?kuormaajakauhatPure paths¶. Pure path objects provide path-handling operations which dont actually access a filesystem. There are three ways to access these classes, which we also call flavours:. class pathlib.PurePath (*pathsegments) ¶. A generic class that represents the systems path flavour (instantiating it creates either a PurePosixPath or a PureWindowsPath):

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Anaconda Distribution. The industry standard for open-source data science Supported by a vibrant community of open-source contributors, Anaconda Distribution is the tool of choice for solo data scientists who want to use Python or R for scientific computing projects.Python List Methods, ProgramizPython has some list methods that you can use to perform frequency occurring task (related to list) with ease. For example, if you want to add element to a list, you can use append() method.. The page contains all methods of list objects.PY4E - Python for EverybodyPython for Everybody. Hello and welcome to my site where you can work through my course materials related to my free Python for Everybody text book. You can take this course for a certificate as the Python for Everybody Specialization on Coursera or Python for Everybody(2 courses) on edX. You can use this web site many different ways:

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