pluralsight python path

Read about pluralsight python path, The latest news, videos, and discussion topics about pluralsight python path from alibabacloud.com

Python "Learning Path 03" collection series with multi-level menu Demo

#!/usr/bin/env python#-*-Coding:utf-8-*-# @Time: 2017/11/18 9:50# @Author: mixiu26# Collection: Set----> Unique, unorderedList1 = [1,4,5,6,7,2,4,6]# list to go:---->> directly convert the list to a collection: Set (List1)List1 = set (List1)# Print List1 and type:Print (List1,type (list1)) # {1, 2, 4, 5, 6, 7} # Set intersection: Intersection ()----->> intersectionList2 = set ([2,3,4,5,6])print (LIST1,LIST2) # {1, 2, 4, 5, 6, 7} {2, 3, 4, 5, 6}Print (L

Python Learning Path: Functional Programming Introduction & Higher order functions

Functional programming: A very high degree of abstraction of the paradigm, the important characteristics: the input is determined, the output is determined;Python is partially supported for functional programming;Higher order functions:def add (x,y,f): #函数本身传给函数, is the higher order function return f (x) +f (y) res = Add (3,-6,abs) print (res)Python Learning Path

Where is the configuration file path for the PIP for Python? How do I modify the PyPI source?

Official documents:https://pip.pypa.io/en/stable/user_guide/#configurationAs an example:Windows users want to change the PyPI source, you can create a new PIP folder under the%appdata% directory, and then create a new Pip.ini under the Pip folder.(If a folder or file already exists in the path, you do not have to create it, and you can enter "Echo%appdata%" under CMD to see where the path%appdata% represent

Add new Lib path instance in Python

code is as follows copy code Python 2.6.3 (r263rc1:75186, OCT 2 2009, 20:40:30) [MSC v.1500 bit (Intel)]On Win32Type ' help ', ' copyright ', ' credits ' or ' license ' for the more information.>>> Import Sys>>> Sys.path[', ' C:\Python26 ', ' C:\Windows\system32\python26.zip ', ' C:\Python26\DLLs ',' C:\Python26\lib ', ' C:\Python26\lib\plat-win ', ' C:\PYTHON26\LIB\LIB-TK ', ' C:\Python26\lib\site-packages ']>>> sys.path.append ('

Python's Path to Growth third (4) _ Scope, recursion, module, built-in module (os,configparser,hashlib), with file operation

(' method.py ', ' test.py ') Import OSOs.rename (' method.py ', ' test.py ') Import is recommended here because it makes your program easier to read and avoids conflicting names. from xxx import xxx as xxx We can see that this is an alias for the method or module. From OS import rename as NewNameNewName (' method.py ', ' test.py ')Import OS as Os_nameOs_name.rename (' method.py ', ' test.py ') The last one doesn't have to be explained. I believe we all understand.(3) Sys.path Sys

Python Learning Path 01

, scipy Module library, pandas module library, etc.AI domain scikit-learn module library, Keras module library, etc.Web development domain Secket Module library, Django Module library, etc.4. What is Virtualenv? What is the role of it? Virtualenv is a virtual environment that is intended to allow multiple versions of Python to coexist.What are the 5.python development ides? A brief description of each type

The Unique Path leetcode Python

A robot is located at the Top-left corner of a m x N grid (marked ' Start ' in the diagram below).The robot can only move either down or right at any point in time. The robot is trying-to-reach the bottom-right corner of the grid (marked ' Finish ' in the diagram below).How many possible unique paths is there?Above is a 3 x 7 grid. How many possible unique paths is there?There are two ways of solving this problem.1. Direct mathematical expression Choose M-1 from M+n-2Class solution: # @return

The path of the Python precipitation--a preliminary understanding of higher order functions

One, the higher order function: Two kinds: One is the return value contains the function body, the other is a function body as a parameter passed to another function1. The return value contains the function bodyExample 1,1 def Test (): 2 Print (' This is a test ') 3 return Test 4 5 f = test ()6 F ()1 This is a test 2 This is a testExample 21 definward ():2 Print('From inward')3 defoutward ():4 Print('From outward')5 returnInward6 7f =Outward ()8F ()1 from Outward 2 from Inw

13. The path of Python sedimentation--file operation

and print it in a list form1 [' learn file operation \ n' old boy's tutorial good \ n' HelloWorld']Second, the file write operationW Mode: This mode will erase the original content when the file is opened.Example 11f = open ('New_file','W', encoding='Utf-8')2F.write ('11111\n')3F.write ('22222\n')4F.write ('33333\n')5F.write ('555\n666\n777\n')6 7 8F.writelines ('11111111\n2222222\n')9F.writelines (['11113331111\n2227772222\n'])Ten #f.writelines ([' 11111111\n2222222\n ', 6]) #报错 file contents

The path to Python begins

/wKioL1SrYSDh0Ov0AAFLBJylqHk544.jpg "title=" interaction. PNG "alt=" Wkiol1srysdh0ov0aaflbjylqhk544.jpg "/>13: module call650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M02/58/2B/wKioL1SrYT2QyRj5AAEe3Jf2TZY102.jpg "title=" module. PNG "alt=" wkiol1sryt2qyrj5aaee3jf2tzy102.jpg "/>14: Stitching650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M02/58/2F/wKiom1SrYJ_hhUQrAACsaY0pAKw377.jpg "title=" stitching. PNG "alt=" wkiom1sryj_hhuqraacsay0pakw377.jpg "/>15: Raw String650) this.width=

Machine learning path: Python linear regression linearregression, stochastic parametric regression sgdregressor forecast Boston rates

(Ss_y.inverse_transform (y_test), Ss_y.inverse_transform (lr_y_predict)) $ Print("the mean square error of the linear is:", Lr_mse) -Lr_mae =Mean_absolute_error (Ss_y.inverse_transform (y_test), Ss_y.inverse_transform (lr_y_predict)) - Print("the average absolute error of the linear is:", Lr_mae) - A #evaluation of the SGD model +Sgdr_score =Sgdr.score (x_test, y_test) the Print("the default evaluation value for SGD is:", Sgdr_score) -sgdr_r_squared =R2_score (y_test, sgdr_y_predict) $ Print("

Machine learning path: Python regression tree decisiontreeregressor forecast Boston Rates

regression tree is:", Dtr.score (X_test, y_test)) - Print("the r_squared values for the flat regression tree are:", R2_score (Y_test, dtr_y_predict)) - Print("the mean square error of the regression tree is:", Mean_squared_error (Ss_y.inverse_transform (y_test), - Ss_y.inverse_transform (dtr_y_predict))) A Print("the average absolute error of the regression tree is:", Mean_absolute_error (Ss_y.inverse_transform (y_test), + Ss_y.inverse_transform (dtr_y_predict))) the - " " $ the default evalua

Machine learning Path: The Python decision tree classification predicts whether the Titanic passengers survived

AboutDTC =Decisiontreeclassifier () $ #Training - Dtc.fit (X_train, Y_train) - #Predicting saved results -Y_predict =dtc.predict (x_test) A + " " the 4 Model Evaluation - " " $ Print("accuracy:", Dtc.score (X_test, y_test)) the Print("Other indicators: \ n", Classification_report (Y_predict, Y_test, target_names=['died','survived'])) the " " the accuracy: 0.7811550151975684 the Other indicators: - Precision recall F1-score support in the died 0.91 0.78 0.84 236 the survived 0.58 0.80 0.67 Abo

Machine learning Path: Python comprehensive classifier random forest classification gradient elevation decision tree classification Titanic survivor

", Classification_report (Gbc_y_predict, Y_test, target_names=['died','survived']))103 104 " " the Single decision tree accuracy: 0.7811550151975684106 Other indicators:107 Precision recall F1-score support108 109 died 0.91 0.78 0.84 236 the survived 0.58 0.80 0.67111 the avg/total 0.81 0.78 0.79 329113 the Random forest accuracy: 0.78419452887538 the Other indicators: the Precision recall F1-score support117 118 died 0.91 0.78 0.84 237119 survived 0.58 0.80 0.68 - 121 avg/total 0.82 0.78 0.79

The path of machine learning: Python practice Word2vec word vector technology

-za-z]"," ", Sent.lower (). Strip ()). Split () in sentences.append (temp) - to returnsentences + - #The sentences in the long news are stripped out for training . thesentences = [] * forIinchx: $Sentence_list =news_to_sentences (i)Panax NotoginsengSentences + =sentence_list - the + #Configure the dimension of the word vector ANum_features = 300 the #the frequency of the words that are to be considered +Min_word_count = 20 - #number of CPU cores used in parallel computing $Num_workers =

Python's Concise Path-----requests Library

Requests is an HTTP client library for Python , similar to urllib,urllib2 , but urllib2 API is more complex, such as implementing a post or get function requires a lot of code.Let me briefly introduce this library today, and after I have read the official documentation, write a full-fledged one.#-*-Coding:utf8-*-import requestr = requests.get (' http://www.zhidaow.com ') #发送请求r. status_code# Return status Code r.headers[' Content-type '] #返回头部信息r. enc

Python Path-Network programming

socket sk.connect ('127.0.0.1 ', 8000) # try to connect to server sk.send (b'hello' ) # dialog (send/Receive) Print # Close Customer socketsView CodeProblem: May be encountered when restarting the serverWorkaround:#Add a socket configuration to reuse IP and ports.ImportSocket fromSocketImportSol_socket,so_reuseaddrsk=Socket.socket () sk.setsockopt (SQL_SOCKET,SO_REUSEADDR,1)#That 's it, plus before bind.Sk.bind ('127.0.0.1', 8000)#bind an address to a socketSk.listen ()#Monitoring LinksC

14. The path of Python sedimentation--file operation

(3,0)#"0" represents an offset from the beginning of the file, offset by 3 units9 Print(F1.tell ())Ten Print(F1.read (3)) One Print(F1.read (6))#starts reading 6 characters from the position indicated by the pointer after the offset A Print(F1.tell ()) - - Print(F1.readline ()) the #print (' see if it's up to the end: ', F1.read (5)) - - Print(F1.seek (5, 0)) - Print(F1.seek (3,1)) + Print(F1.seek (0,2))#"2" represents an offset of 0 units from the end and "0"1 Nam 2 Print (F1.seek (3,1))

The path of machine learning: Python polynomial feature generation polynomialfeatures and over-fitting

.score (X_train_poly2, Y_train))#0.9816421639597427Two-time linear regression model fitted curves:The fitting degree is better than 1 linear fitting.The following 4 linear regression models are performed:1 #four-time linear regression model fitting2Poly4 = Polynomialfeatures (degree=4)#4-time polynomial feature generator3X_train_poly4 =poly4.fit_transform (X_train)4 #Building Model Predictions5Regressor_poly4 =linearregression ()6 Regressor_poly4.fit (X_train_poly4, Y_train)7 #draw a graph of 2

The path of the small white Python crawler--The first knowledge of reptile principle

Crawlers do two things.① impersonate a computer to initiate request requests to the server② receive server-side response content and parse to extract the required informationInternet pages are complicated, and a single request cannot get all the information. You need to design a crawler process.This book mainly introduces two kinds of smooth ① multi-page crawler Process ② cross-page crawler processMulti-page Crawler flow:(1) Manually paging and observing the URL composition of each page to const

Total Pages: 15 1 .... 11 12 13 14 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.