Whirlwindtourofpython 14 Strings And Regular Expressions Ipynb Github

There was an error while loading. Please reload this page. < Modules and Packages | Contents | A Preview of Data Science Tools > One place where the Python language really shines is in the manipulation of strings. This section will cover some of Python's built-in string methods and formatting operations, before moving on to a quick guide to the extremely useful subject of regular expressions. Such string manipulation patterns come up often in the context of data science work, and is one big perk of Python in this context.

Strings in Python can be defined using either single or double quotations (they are functionally equivalent): In addition, it is possible to define multi-line strings using a triple-quote syntax: With this, let's take a quick tour of some of Python's string manipulation tools. There was an error while loading. Please reload this page. The text and code are released under the CC0 license; see also the companion project, the Python Data Science Handbook.

< Modules and Packages | Contents | A Preview of Data Science Tools > One place where the Python language really shines is in the manipulation of strings. This section will cover some of Python's built-in string methods and formatting operations, before moving on to a quick guide to the extremely useful subject of regular expressions. Such string manipulation patterns come up often in the context of data science work, and is one big perk of Python in this context. Strings in Python can be defined using either single or double quotations (they are functionally equivalent): In addition, it is possible to define multi-line strings using a triple-quote syntax:

< Modules and Packages | Contents | A Preview of Data Science Tools > One place where the Python language really shines is in the manipulation of strings. This section will cover some of Python's built-in string methods and formatting operations, before moving on to a quick guide to the extremely useful subject of regular expressions. Such string manipulation patterns come up often in the context of data science work, and is one big perk of Python in this context. Strings in Python can be defined using either single or double quotations (they are functionally equivalent): In addition, it is possible to define multi-line strings using a triple-quote syntax:

With this, let's take a quick tour of some of Python's string manipulation tools.

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