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Python Common data structures

There are four most commonly used data structures in Python, namely list, dictionary (dict), set (set), and tuple (tuple)Below is a brief description of their differences and connections1. InitializationIt has to be said that Python data

Python data structures and algorithms

data structures and algorithms (Python)Bubble SortBubble Sort (English: Bubble sort) is a simple sorting algorithm. It iterates over the sequence of columns to be sorted, compares two elements at a time, and swaps them if their order is wrong. The work of iterating through the series is repeated until no more swapping is needed, meaning that the sequence is sorte

"Python Learning notes-data structures and algorithms" hash table implementation of a hash table

at a time until an empty slot is found and the key is stored in that position. For example, the hash value of the conflict is H, followed by the order of H+1, h+2, h+3 ...To prevent aggregation (clustering), the skip slots method can be used.(ii) quadratic probing (square probe): that is, the conflicting hash value is H, then the next lookup is h+1, followed by h+4,h+9,h+16 ...(2) Chaining (linked list method): All elements of the same hash value are saved in a linked list. However, the more el

Python expands 3 algorithms and data structures

the following format:1 [2{"ID": 1001,"name":"Zhang San"," Age": 20},3{"ID": 1002,"name":"Woz"," Age": 22},4{"ID": 1003,"name":"Alex"," Age": 23},5{"ID": 1004,"name":"HF"," Age": 26},6{"ID": 1005,"name":"KK"," Age": 27},7]Now it is required to change the binary lookup code, enter the student ID, output the student's subscript below the list and output the complete student information.The implementation code is as follows:4. Common sortThe usual sorts are as follows:Third, the commonly used

Python data structures and algorithms--complete tree and minimum/large heap

next time . A the defShufflepile (self): + """in the current state, the tree is adjusted so that it becomes a heap""" - #downward adjustment from "heap bottom" to "heap top", which keeps the smallest elements rising $ #This allows the heap below the I node to be the local minimum heap. $ forIinchRange ((Len (self)-2)/2,-1,-1):#N/2,..., 0 - Self.siftdown (i) - the defdeletemin (self): - """Remove Minimum element"""Wuyit = self[0]#record the

Python Learning notes-built-in data structures

]: Lst.clear () in [418]: lstout[418]: []Other operationsIn[419]:lst=list (Range (4)) in[420]:lstout[420]:[0,1,2, 3]in[421]:len (LST) out[421]:4in[422]:in[422]:lstout[422]: [0,1,2,3] In[423]:lst.reverse () in[424]:lstout[424]:[3,2,1,0]in[425 ]:in[425]:lst.sort () in[426]:lstout[426]:[0,1,2,3]in [427]:lst.sort (reverse=true) in[428]:lstout[428]:[3,2,1,0]in [429]:in[429]:lstout[429]:[3,2,1,0]in[430]:lst2 NBSP;=NBSP;LSTINNBSP;[431]:NBSP;LST2OUT[431]:NBSP;[3,NBSP;2,NBSP;1,NBSP;0]INNBSP;[432]:NBSP;LS

Python data structures: lists, dictionaries, tuples, Collections

' >>>{' Jack ': ' [email protected] ', ' Tom ': ' [email protected] '}List (d.keys ()) Returns an unordered list of all the keywords in a dictionarySorted (d.keys ()) Returns a sorted list of all the keywords in a dictionaryThe Dict () constructor can create a dictionary directly from the key-value pairDict ([' Tim ', 123), (' Tiny ', 234)]) >>>{' Tiny ': 234, ' Tim ': 123}Derivation creates a dictionary:{d2:d2+ ' @main. com ' for D2 in list (d.keys ()}}>>>{' Jack ': ' [email protected] ', ' To

Python implements the bubbling ordering of data structures and algorithms

Bubble sortThe basic idea of bubble sorting is to compare two adjacent elements each time and swap them out if they are in the wrong order.If there are n numbers to sort, just n?1 the number of digits, which meansN-1 operation. The "Every trip" requires a comparison of two adjacent numbers starting from the 1th position, and the smaller oneIn the back, when the comparison is complete, move back one to continue comparing the size of the two adjacent numbers below, repeat this step until the lastN

Python data structures and algorithms 12th Day "Quick Sort"

1. Principle:2. Code implementationdefQuick_sort (alist, Start, end):"""Quick Sort""" #Recursive exit conditions ifStart >=End:return #sets the starting element as the datum element to find the positionMID =Alist[start]#Low is the left-to-right cursor for the left of the sequenceLow =Start#High is the right-to-left cursor to the right of the sequenceHigh =End whileLow High :#If low is not coincident with high, the element with high points is not smaller than the datum element, then high

---Study on the Road (a) Python data structures and Algorithms (4)--Hill sort, merge sort

formed by the list of recursive interceptsRight_list =Merge_sort (list[mid:])#to create an index of left and right cursor record list valuesLeft_pointer, Right_pointer =0,0#Create a new empty listresult = [] #Loop Compare numeric size #exit loop condition when one of the left and right cursors equals the length of the list whileLeft_pointer andRight_pointer Len (right_list):#determining the left and right value sizes ifLeft_list[left_pointer] Right_list[right_pointer]: Result.

"Python Learning notes-data structures and algorithms" quick sort

value.Similarly, when an element of the RightMark position is greater than or equal to the base value, RightMark moves to the left one position to continue scanning, and the scan stops when the element of the RightMark position is less than the base value.After stopping the scan, we compare the size of the Leftmark and RightMark, if the Rightmark  After we have put the datum values in the correct position, we see that the elements on the left side of the base value are smaller than the datum va

"Python Learning notes-data structures and algorithms" Selection sorting Selection sort

"Select Sort"The selection sort is based on a bubbling sort (Bubble sort) that has been improved: each visit process (pass) needs to be exchanged at most.Each visit process, to find the maximum value, when the end of the visit, the maximum value is exchanged to the correct position;Then continue to repeat the process in the remaining sublist until the n-1 visit is completed (n is the length of the list);At this point, the remaining elements in the list are automatically aligned to the correct po

Collation of several data structures in Python, lists, dictionaries, tuples, collections

pairDict ([' Tim ', 123), (' Tiny ', 234)]) >>>{' Tiny ': 234, ' Tim ': 123}Derivation creates a dictionary:{d2:d2+ ' @main. com ' for D2 in List (D.keys ()}}>>>{' Jack ': ' [email protected] ', ' Tom ': ' [email protected] '}Exercise: A key-value pair in a circular output dictionary:For Name,email in D.items ():Print (Name,email)4. CollectionEmpty collection: A = set () ※ to create an empty collection, you must use Set ()Demonstrate:Basket = {' Apple ', ' orange ', ' apple '} >>>{' orange ', '

Learn the basics of Python-data structures, algorithms, design patterns---observer patterns

observers, that is, dependent objects, each time data changes, these 2 view will changeclassHexviewer (object):defUpdate (self, subject):Print 'hexviewer:subject%s has data 0x%x'%(Subject.name, Subject.data)classDecimalviewer (object):defUpdate (self, subject):Print 'decimalviewer:subject%s has data%d'%(Subject.name, Subject.data)if __name__=='__main__': Data1=

Python algorithms and data structures--the maximum value of all sub-arrays

Python algorithms and data structures--the maximum value of all sub-arraysXuan Soul Studio-Xuan SoulXuan Soul Studio Secretary Xuan Soul studio? YesterdayTitle: Enter an array of shapes with positive and negative numbers in the array. One or more consecutive integers in an array make up a sub-array, each of which has a and.The maximum value for the and of all sub

Python devops Development Built-in functions & Data Structures (vi)

Python built-in functions in detail python built-in function diagram you can also access (there are various examples): Https://docs.python.org/3/library/functions.html#nextThe following examples illustrate the use of various functionsThe big day after the update, roll up the sleeves refueling dry!!!First, the Python common da

Python: From data structures to advanced algorithms (updated to 2017.09.08)

1. The main reference documents: Introduction to AlgorithmsThe foundation of algorithmic design Shen Xiaojun"C + + data Structures""Algorithmic Python"Timus All algorithmic code implementations for this series of posts are python. On the basis of this, some topics will add additional C + +, java. 2. Already finished

A list of basic data structures for Python

(object):28def __init__(self):Self.queue = []30 31defEnqueue (self, item):32self.queue.append (item)33 34defdequeue (self):35ifSelf.queue! = [] :36returnself.queue.pop (0)37Else :38returnNone39 40defHead (self):41ifSelf.queue! = [] :42returnSelf.queue[0]43Else :44returnNone45 46deftail (self):47ifSelf.queue! = [] :48returnSelf.queue[-1]49Else :50returnNone51 52defLength (self):53returnLen (self.queue)54 55defIsEmpty (self):56returnSelf.queue = = []The principle is the same, but there are many w

List and metadata of python Data Structures

List and metadata of python Data Structures Python data structure list and metadata Sequence: a sequence is a data structure where all elements are numbered (starting from 0 ). Typical sequences include lists, strings, and metadat

Linked list of Python data structures

which elements are stored sequentially in the block contiguous storage?, the order relationships between elements are represented by their order of storage. A linked list that stores elements in a series of storage blocks constructed from links. Why a linked list is required:The construction of sequential tables needs to know the data beforehand?? To apply for a continuous storage space, in the case of an expansion, it is necessary t

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