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"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

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 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 ', '

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

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

Python data structures and algorithms 17th Day "Probabilistic algorithm"

first 1frequency = [0 forIinchRange (0, 10, 1)] I= 1#do factorial operations, from 1! , 2! , 3! , until 100! The Operation forNinchRange (1, 100, 1): I= n *i m=First_number (i) frequency[m]= Frequency[m] + 1PrintFrequencyResults:/users/liudaoqiang/pycharmprojects/numpy/venv/bin/python/users/liudaoqiang/project/python_project/bat_day17/ 7, 7, 7, 3, ten, 4]process finished with exit code 03. Ben Ford's Law:In life, the probability of the first dig

Introduction to Python Data structures

included.Realpath=[]#only the true path to the end is recorded . whileCurnode[2]!=-1:#as long as it wasn't the first oneRealpath.append (curnode[0:2]) Curnode=PATH[CURNODE[2]]#keep looking for the nextRealpath.append (Curnode[0:2])#get the last source .Realpath.reverse ()Print(Realpath)defMap_path (x1,y1,x2,y2): Queue=deque () path=[]#Create a list record pathQueue.append ((x1,y1,-1))#-1 is set for path source search whileLen (queue) >0:curnode=Queue.popleft () path.append (Curnode)ifCu

---Study on the Road (a) Python data structures and algorithms (5) binary search, binary tree traversal

-operation Traversal, we first recursively use the post-traversal to access the Saozi right subtree, the last access to the root node root node, right subtree, left dial hand tree def postorder (self, Root): "" " recursive implementation of subsequent traversal" " if root = = None: return self.postorder (root.lchild) Self.postorder (root.rchild) print (Root.elem)Breadth-first traversal (hierarchical traversal)From the root of the tree, from top to bottom, from l

Python Data Structures-dictionaries

Original address: Http://docs.pythontab.com/python/python3.4/datastructures.html#tut-tuplesThe best way to understand a dictionary is to think of it as an unordered key: a set of value pairs (Key:value pairs) whose keys must be distinct (within the same dictionary).A pair of curly braces creates an empty dictionary: {} .>>> Tel = {'Jack': 4098,'Sape': 4139}>>> tel['Guido'] = 4127>>>tel{'Sape': 4139,'Guido': 4127,'Jack': 4098}>>> tel['Jack']4098>>>delt

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