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Python supports a wide variety of string operations. Strings in Python are immutable, so a string operation such as a substitution of characters, that in other programming languages might alter the string in place, returns a new string in Python. Performance considerations sometimes push for using special techniques in programs that modify ...
This template can extract information from a date, or can format a date. Time units can be added to a date. Syntax {{extract|date|options}}
The main difference is that XPath 1.0 was more relaxed about type conversion, for example comparing two strings ("4" > "4.0") was quite possible but would do a numeric comparison; in XPath 2.0 this is defined to compare the two values as strings using a context-defined collating sequence.
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.
Some file archivers and some version control software, when they copy a file from some remote computer to the local computer, adjust the timestamps of the local file to show the date/time in the past when that file was created or modified on that remote computer, rather than the date/time when that file was copied to the local computer.
The date picker provides several advantages, including: allowing the user to enter a date by merely clicking on a date in the pop-up calendar as opposed to having to take their hand off the mouse to type in a date. validation of dates by restricting date ranges, e.g. only after today and for two weeks later, or only for dates in the past.
Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging" the raw data (e.g. sorting) or parsing the data into predefined data structures, and finally depositing the resulting content into a data sink for storage and future use. [1]
For example, in Python, raw strings are preceded by an r or R – compare 'C:\\Windows' with r'C:\Windows' (though, a Python raw string cannot end in an odd number of backslashes). Python 2 also distinguishes two types of strings: 8-bit ASCII ("bytes") strings (the default), explicitly indicated with a b or B prefix, and Unicode strings ...