Features
Features:

Product Tour >

Edraw AI >

Paid Plans:

Individuals >

Business >

Eduaction >
Resources
Blog

History

How-tos & Tips

Discovery

Biography

Business Analysis

Examples

AI concept Map

Free AI Mind Map Generator

Onenote Mind Map

Bcg Matrix Examples

Nike Marketing Strategy

Unilever SWOT Analysis

Make Mind Maps in Google Docs

Guide

FAQs

What's New

Resource Center
Templates
All Templates

Brain Storming Templates

Strategy and Planning Templates

Project Management Templates

Product Management Templates

Human Resources Templates

Agile Workflow Templates

Marketing Templates

Education Templates

Fun and Games Templates

User Gallery
Download
Pricing
Enterprise

python

Python's mind map, such as Set (set), is similar to a dictionary. It is a set of keys, but does not store values. Since keys cannot be repeated, there are no repeated keys in the set. Sets can be regarded as mathematical A collection of unordered and non-repeating elements. The collection is marked with {}

Edited at 2023-10-30 17:27:58

PlotWizard

Recent works View more works>>

python

PlotWizard

Recent works View more works>>

Recommended to you
Outline

python

Advanced data types

List(list)

Elements in the list are separated by commas

Pack multiple data and store them into one data type. Identified with [], it supports numbers and strings, and can contain lists (that is, nested). Different types of data items can also appear in the same list. Lists are the most common composite data type in Python.

Operator

Splicing

repeat

【】

Obtain

【：】

intercept/slice

member operator

not in

member operator

function

len(list)

Get the number of elements in the list

list.index(obj)

Get the index of the specified element in the list

list.append(obj)

Add new elements to the end of the list

list.insert(index,obj)

Inserts an element into a list at a specified position

list.extend(seq)

Append multiple values from another sequence at the end of the list (extend the original list with the new list)

list.pop([index=-1])

Removes an element from the list (default is the last element) and returns the value of the element

list.remove(obj)

Removes the first occurrence of an element in a list

list.reverse()

Reverse elements in list

list.sort(key=None,reverse=False)

Sort the original list (only elements of the same type can be sorted, ascending order by default)

Tuple(tuple)

At the time of definition, the elements in the tuple are determined, and elements cannot be appended, inserted, or modified later. Using tuples can make the code safer

An ordered set is similar to a list, except that the elements of a tuple cannot be modified and are marked with ()

#Create an empty tuple

tup2=()

Parentheses () can represent either tuples or parentheses in mathematical formulas. When defining a tuple with only one element, if tup3=(1) is used directly, ambiguity will occur, and the computer will calculate according to the parentheses. , the result returned by tup3 is the number 1

#Create a tuple with only one element

tup3=(1, )

A comma must be added when defining a 1-element tuple to eliminate ambiguity. Similarly, Python will also add a comma when displaying a tuple with only 1 element.

Dictionary(dict, dictionary)

Dictionary keys and values are separated by colons

Identified with {} and using key-value (key-value) storage, it is equivalent to saving two sets of data. One set of data is key data and is called key; the other set of data can be accessed through key and is called value. . There is a one-to-one correspondence between key and value

Commonly used functions

Dictionaries are not sequences, so operations such as splicing and interception cannot be performed on dictionaries.

dict[key]

Access values in a dictionary

dict[key]=

Modify value

dict[key]=

Add key-value pairs

del dict[key]

Delete key-value pair

del dict

delete dictionary

dict.keys()

Return all keys as a list

dict.values()

Return all values as a list

dict.items()

Return all key-value pairs

Set(set)

When creating a collection, if duplicate elements are passed in, they will be automatically filtered.

Similar to a dictionary, it is a collection of keys, but does not store values. Since keys cannot be repeated, there are no duplicate keys in the collection. The collection can be regarded as a collection of unordered and non-repeating elements in the mathematical sense. The collection uses { }identification

Commonly used functions

set.add(key)

Add element

set.remove(key)

Delete element