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This article introduces you what are the relevant operating steps of Python connection in practical application, the content is very detailed, interested friends can refer to, hope to be helpful to you.

In the computer language, Python connection is often used, it is said that we need to work hard to learn relevant knowledge and skills to better understand Python connection, if you have a good understanding of the actual operation of Python connection, you will gain an advantage in the computer language.

The way computers process code is similar to the way we read text. When we read a sentence, the brain naturally breaks it down into separate "words or words" (or "markers"), each of which can express a specific meaning. This process is called Tokenization. The Python interpreter also performs tokenization because it breaks down program statements into separate program elements.

Such as keywords, identifiers, operators, and so on. Different tags are separated by delimiters, which are usually white space characters, such as spaces, tabs, line feeds, and carriage returns. Of course, you can also separate tags with other characters. The method introduced in this book can be used for string decomposition and Python concatenation based on delimiters.

# split & join

String1 = "A, B, C, D, E, F"

Print "String is:", string1

Print "Split string by spaces:", string1.split ()

Print "Split string by commas:", string1.split (, ")

Print "Split string by commas,max 2:", string1.spliat

("," 2)

Print

List1 = ["A", "B", "C", "D", "E", "F"]

String2 = "_ _"

Print "List is:", list1

Print 'Joining with "% s":% s'\

% (string2,string2.join (list1))

Print 'Joining with "-. -":', "-. -" .join (list1)

For a list of tags, the join method can merge the list with predefined delimiters. Performance tip: a more efficient way to build complex strings is to include different components in a list, and then use the join method

Summarize strings instead of using the operator (+) of a Python connection.

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