applied data science with python specialization review

http://blog.csdn.net/pipisorry/article/details/44245575A very good article on how to learn python and use Python for data science, data analysis, machine learning Comprehensive learning Path–data

and readability of the code.Programs that want deep data analysis or applied statistics ape some python for the primary user of statistics.The closer you work in the project environment. The more likely you are to prefer python. It is a flexible language that focuses on readability and simplicity, and its learning cur

The Ggplot library used in Python in data analysis can be applied to drawData, for example, using data from the course VII of the InstituteData is: https://s3.amazonaws.com/content.udacity-data.com/courses/ud359/hr_year.csv Scatter plot: gp=pandas.read_csv (hr_year_csv) GG=ggplot (Gp,aes ('yearid','HR ')

Python is a simple getting started tutorial for data science and python getting started tutorial Python has an extremely rich and stable data science tool environment. Unfortunately, fo

2018 will be a year of rapid growth in AI and machine learning, experts say: Compared to Python is more grounded than Java, and naturally becomes the preferred language for machine learningIn data science, Python's grammar is the closest to mathematical grammar, making it the easiest language for professionals such as mathematicians or economists to understand an

http://blog.csdn.net/pipisorry/article/details/44245575A good article on how to learn python and use Python for data science, data analysis, and machine learning Comprehensive(integrated) Learning Path–data

Python has an extremely rich and stable data science tool environment. Unfortunately, for those who do not know the environment is like a jungle (cue snake joke). In this article, I will step by step guide you how to get into this pydata jungle. You might ask, how about a lot of the existing Pydata package recommendation lists? I think it would be unbearable for

Python has an extremely rich and stable data science tool environment. Unfortunately, for those who do not know this environment is like a jungle (cue snake joke). In this article, I'll guide you step-by-step through how to get into this pydata jungle. You might ask, what about many of the existing Pydata package referral lists? I think it would be too much for

Intermediate Python for Data Science | Datacamp Https://www.datacamp.com/courses/intermediate-python-for-data-science The intermediate Python course is crucial to your

Python has become increasingly popular among data science enthusiasts, and it is important that it brings a complete system to the universal programming language. With Python you can not only transform operational data, but also create powerful piping commands and machine le

First, IntroductionAs for regular expressions, I have already made a detailed introduction in the previous (Data Science Learning Codex 31), which summarizes the common functions of the self-contained module re in Python.As a module supported by Python for regular expression related functions, re provides a series of methods to complete the processing of almost a

)-i]] pca.append (Sort[len (input)-i]) I+ = 1" "The eigenvalues and eigenvectors corresponding to each principal component are saved and returned as a return value ." "Pca_eig= {} forIinchRange (len (PCA)): pca_eig['{} principal component'. Format (str (i+1))] =[Eigvalue[pca[i]], Eigvector[pca[i] ]returnPca_eig" "assigning the class that the algorithm resides to a custom variable" "Test=MY_PCA ()" "invoke the PCA algorithm in the class to produce the required principal component correspo

arguments are missing samples (decision tree is more tolerant of missing values, there are corresponding processing methods)Parms: The default is the "Gini" index, which is the method of the CART decision tree Partition node;> Rm (list=ls ())>Library (Rpart.plot)>Library (Rpart)>data (Iris)> Data Iris> Sam 1: Max, -)> Train_data Data[sam,]> Test_data Sam,]> Dtre

:15px "> learning R Blog URL: http://learnr.wordpress.com p26_27 r home page: http://www.r-project.org rstdio home page:/http/ www.rstdio.com/ r Introduction: http://www.cyclismo.org/tutorial/R/ r a relatively complete getting Started Guide: http://www.statmethods.net/about/sitemap.html plyr Reference Document: Http://cran.r-projects.org/web/packages/plyr/plyr.pdf ggplot2 Reference Document: Http://cran.r-project.org/web/packages/ggplot2/gg

The fifth day of python (Review data types), python Data Types Supplement the Data Types of previous days1. Integer intA. Several input methodsA = 123A = int (123)When we input a = 123 on the device, the

= [' Rain ', ' Sir ']A2 = Dict (Enumerate (A1))Print (A2)b, the basic characteristicsN1.fromkeys ()--------------------------------------------------used to create a new dictionaryIf there is a Staticmethod word on the top of a method then this is called with a class, as usual we usually use objects to invoke the methodExample:N1 = Dict.fromkeys ([' K1 ', ' K2 ', ' K3 '],[])Print (N1)n1["K1"].append (' BBB ')Print (N1)Output Result:{' K1 ': [], ' K2 ': [], ' K3 ': []}{' K1 ': [' BBB '], ' K2 ':

Jingdong Book review has a very rich information, which contains the date of purchase, the title, author, Praise, in the evaluation, the difference between the evaluation and so on. Take the purchase date as an example, using Python + MySQL with the implementation of the program is not large, only 100 lines. I have raised the relevant explanations in the program: From selenium import WebdriverFrom BS4 impo

the value corresponding to the key, does not exist when the output can be specified, default is emptyD.get (K[,d]), D[k] if k in D, else D. D defaults to None. Has_key () to see if key existsD.has_key (k)-True if D has a key k, else False Iitems () converted to a list of (key, value)D.items (), List of D ' s (key, value) pairs, as 2-tuples Copy () copyingD.copy (), a shallow copy of D Clear () Empty dictionaryD.clear (), None. Remove all items from D Pop () deletes the value of the sp

One, operatorin# who is in ... In' Hello ' in ' sdfjsdfjsdlkfjsd '"Li" in [' Li ', ' OK ']II. Basic data types intA. How to createN1 = 123 #根据int类, an object was createdN2 = Int (123) #根据int类, an object was createdb. int internal optimization1, N1 and N2 memory addresses are the sameN1 = 123N2 = N12, supposedly N1 and N2 memory address is not the sameThatN1= 123N2 = 123But Python's internal optimizations, -5~257 within

+"--"+description) Writer.writerow ((name, description))#print (Feedid)URL = base_url+"Feedid={feedid}" forIinchRange (105): Realurl= Url.format (Feedid=feedid, T=int (Time.time () *1000+random.random () *1000), Snstime=int (Time.time () +random.random () *100)) Resp= Requests.get (Realurl, Headers=headers, cookies=cookies) Jsondata=Resp.json () data= Jsondata.get ("Data") Feeds= Data.get ('Feeds') Print