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This article focuses on "how to use the tuples and collections of Python". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to use tuples and collections of Python.

Tuple

A tuple is an immutable sequence of ordered items. "immutable" is its secret weapon. Once a tuple is defined, it cannot be changed.

The rules for using tuples are almost the same as lists, except that parentheses are used instead of square brackets. In addition, you can take the list and convert it to a tuple.

# how to define a list num_list = [1 use tuple 2 to convert num_convert 3 tuple 4] # use tuple = (1 use tuple () 3) (num_list)

What's so special about immutability? At first glance, it seems inconvenient; however, every time you use tuples properly instead of lists, you are actually doing two things.

Write more meaningful security code. When a variable is defined as a tuple, you are telling yourself and any other viewer of the code: "this will not change." In order to prevent the omission of the memo, any attempt to modify the variable will cause an error.

Improve performance. Iterative tuples are faster than iterative lists. Tuples save more memory than lists. Because the number of items in the tuple remains the same, its memory footprint is more concise.

If the size of the list has not been modified, or if it is intended only for iteration, you can try to replace it with tuples.

Set

A collection is an unordered, unique combination of data items. A collection cannot have duplicate values, which is the difference between it and a list.

To define a collection, enclose a comma-separated list of items in curly braces. Don't be confused with creating dictionaries with key-value pairs. Like tuples, you can create a collection by converting another data type.

# how to define a list num_list = [1 use set 2 3 use set 4] # use set = {1 use set () to convert num_convert = set (num_list)

So what if the two items are exactly the same?

Nums = {1 print 2 3 Jing 4} print (nums) # 1 Jing 2 Jing 3 re 4

As you can see, the second "4" has been removed. The same thing happens if the original value is a duplicate list.

So why use collections instead of lists? First, converting to a collection is the easiest way to delete duplicate values. In addition, collections, like any data type, have their own set of methods.

Collections are very useful when comparing multiple sets, as you can see by thinking about Venn diagrams. There are also union (), intersection (), and difference () functions that tell you the combined values, shared values, and different values between the two sets, respectively.

The list is comfortable and reliable to use, but there may be better tools, and we can't stop exploring.

Using tuples allows you to process and protect the data structures declared by developers more quickly. Use collections to ensure unique values and take advantage of comparison methods.

Python is about finding the right tool for each problem.

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