coursera python data science

manual optimization in the homework similarity matrix, we need to calculate the similarity of 22 documents, which is actually a matrix operation. 1) The code is as follows, spents 1m22.042sSelect X.docid,y.docid,sum (X.count*y.count) as Count from Frequency X, Frequency y where x.term = Y.term and X.docid 2) Submit the answer only need, one of the results, time 1m10.919s, you can see here is actually calculated the similarity of all documents intercepted, DB is not optimized.SELECT * FROM (sele

you don't like the learning style of interactive coding, you can also learn Google's Python lessons. This 2-day course series contains not only the Python knowledge mentioned earlier, but also some of the things that will be discussed behind it. Step 3: Learn regular expressions in the Python language You will often use regular expressions to clean up

Post date: September 2, 2014 By: Stephen Miller Marty rose, data scientist in the acxiom product and engineering group, and an active member of the DMA analytics councel shared the following list of data science books with the councel this week, and we thought the rest of the DMA family wowould also benefit. "I didn't compile this list and am grateful to Chris th

to write to the file"" Defines writing data to the file function "" " forIinchrange (num): U=Ulist[i] with open ('D:/test.txt','a') as data:Print(U, file=data)if __name__=='__main__': List= [] # I previously put list=[] in the for loop of the Get_data () function, resulting in each loop emptying the list before appending the data, and finally traversing the las

DirectoryObjectiveChapter 1th Introduction 11.1 The power of the data 11.2 What is Data science 11.3 Excitation hypothesis: DataSciencester21.3.1 Looking for key contacts 31.3.2 You might know data scientist 51.3.3 Salary and working life 81.3.4 paid Account 101.3.5 Interest Topic 111.4 Outlook 122nd

#转自wx公众号: Python Developer#问题/answer Source: Quora English: Roman Trusov Bole Online column Author-Xiaoxiaoli Links: http://python.jobbole.com/85704/ "Bole Online Guide": A netizen in Quora asked questions, and added that "I have 10 days of free time, every day want to spend 10 hours to learn the knowledge of data science, should learn somet

There are thousands of packages and hundreds of functional formulas in the field of data science, although you don't need to know all of this, but it's important to have a quick look at your study. Learning Big Data includes understanding of statistics, math, programming knowledge (especially R, Python, SQL), and under

1. All Python objects can support comparison operations-test equality, relative size, etc.Python's comparison is to examine all parts of a compound object until the result is reached, and it will automatically traverse the data structure, from left to right recursively compared, how deep it goes.= =: to the ratiois: Compare memory referencesThe above example, although the values of the two lists are equal,

the Pythonpath:spark installation directory4. Copy the Pyspark packageWrite Spark program, copy pyspark package, add code display functionIn order for us to have code hints and complete functionality when writing Spark programs in pycharm, we need to import the pyspark of spark into Python. In Spark's program, there's a python package called Pyspark.Pyspark BagPython is also easy to import third-party pack

Chapter I.1. Anaconda (the most famous Python data science platform)Let's start with the Anaconda.What is Anaconda????Reply:(1), Scientific computing platform(2), there are a lot of convenient bags for us to use(3), cross-platform: Mac \linux\windows(4), most importantly: Open source free of charge and community for small friends to exchange2, Installation Anacon

The 1th chapter constructs the experiment environment1-1 guided Video1-2 Anaconda and Jupyter Notebook introduction1-3 Anaconda installation demo on Mac1-4 Anaconda Installing the demo on Windows1-5 Anaconda installation demo on LinuxUse of 1-6 Jupyter-notebook demo2nd Chapter NumPy Introduction2-1 Data Science field 5 common Python libraries2-2 matrix operations

1. Introduction Interactive (interactive) data science and science computing tools, main cell interaction and quick display .It is an Open-source project derived from the IPython.Official Website Address cell interactionAt the command line, interact with the unit of behavior;In the IDE, execute once in the form of a source file.If you want to perform a paragraph

is assigned to BSimilarly:This sequence extension package is valid for all sequence typesNote that there is a boundary condition where Python automatically assigns an empty value to an item that is out of boundsIt is also important to note that the * symbol can only have one, and only one variable is not available *>>> a,*b,*c,d,*e= ' ABCD ' Syntaxerror:two starred expressions in assignment>>> a,b,c,d,e= ' ABCD ' Traceback (most recent): File "If a

Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining Python Data Analysis Why python for

[Peer-to-peer technology] Python programmers, Tom, must read Data Summary (4) and python Data Summary This article introduces basic learning materials and a little bit of advanced information from "Python programmer Summary (1) to (3, today, I have collected 5 articles with