本次需要Python,包含了5个算术问题需要解决。
Your job is to summarize this gov data about oil consumation
Problem 1 – Decrypting Government Data
Your job is to summarize this gov data about oil consumation
现在提到了代写服务,肯定很多人都不会觉得陌生,就算是国内也是有着专业代写作业的服务行业的,能够为有需求的学生提供很多的帮助,不过其实代写机构在国外会更获得学生的支持,这是因为国外的学校对于平时的作业要求比较严格,为了获得更高的分数顺利毕业,不少留学生就会让代写机构帮忙完成作业,比较常见的作业代写类型,就是计算机专业了,因为对于留学生来说这个技术对于Machine Learning或者AI的代码编程要求更高,所以找代写机构完成作业会简单轻松很多,那么代写机构的水平,要怎么选择才会比较高?
1、代写机构正规专业
不论是在什么情况下,选择正规合法经营的机构肯定是首要的操作,这也是为了避免自己在找机构的时候,出现上当受骗的现象,造成自己的经济出现损失,带来的影响还是非常大的,所以需要注意很多细节才可以,所以在这样的情况下,代写机构的选择,也要选择在经营方面属于正规合法的类型,这样才可以保证服务进行的时候,不会出现各种问题,也可以减少损失的出现,而且正规合法也是代写机构的合格基础。
2、代写机构编程能力
作业的难度相信很多人都很熟悉,特别是对于AI深度学习或者是人工神经网络这种算法来说,因为要对SVM、Design Tree、线性回归以及编程有很高的要求,可以说作业的完成要求非常高,因此才会带动代写机构的发展,找专业的代写机构,一般都是会有专业的人员帮忙进行作业的完成,因为这类型的作业对专业要求比较高,因此代写机构也要具备专业能力才可以,否则很容易导致作业的完成出现问题,出现低分的评价。
3、代写机构收费情况
现在有非常多的留学生,都很在意作业的完成度,为了保证作业可以顺利的被完成,要进行的相关操作可是非常多的,代写机构也是因为如此才会延伸出来的,在现在发展也很迅速,现在选择代写机构的时候,一定要重视收费情况的合理性,因为代写作业还是比较费精力的,而且对于专业能力要求也高,所以价格方面一般会收取几千元至万元左右的价格,但是比较简单的也只需要几百元价格。
4、代写机构完成速度
大部分人都很在意代写机构的专业能力,也会很关心要具备什么能力,才可以展现出稳定的代写能力,其实专业的代写机构,对于作业完成度、作业完成时间、作业专业性等方面,都是要有一定的能力的,特别是在完成的时间上,一定要做到可以根据客户规定的时间内完成的操作,才可以作为合格专业的代写机构存在,大众在选择的时候,也可以重视完成时间这一点来。
现在找专业的CS代写机构帮忙完成作业的代写,完全不是奇怪的事情了,而且专业性越强的作业,需要代写机构帮忙的几率就会越高,代写就发展很好,需求量还是非常高的,这也可以很好的说明了,这个专业的难度以及专业性要求,才可以增加代写机构的存在。
The format of the file is rather bizzare – note that each line has data for two months, in two different years! (Plus I had to hand edit the file to make it parseable)
- Fortunately, Python is great for untangling and manipulating data.
- Write a generator that reads from the given url over the network, and produces a summary line for a year’s data on each ‘next’ call
- remember that urllib.request returns ‘bytes arrays’, not strings
- The generator should read the lines of the oil2.txt file in a lazy fashion – it should only read 13 lines for every two years of output. Note a loop can have any number of ‘yield’ calls in it.
- Ignore the monthly data, just extract the yearly info
- Drop the month column
- In addition to the ‘oil’ generator function, my solution had a separate helper function, ‘def makeCSV- Line(year, data):’
Here is the first two years of data, 2014 and 2013
Year,Quantity,QuantityChange,Unknown,Unknown2,Price,PriceChange
2014,2700903,-112867,246409332,-26397845,91.23,-5.72
2013,2813770,-283638,272807177,-40367786,96.95,-4.15
2012,3097408,-224509,313174963,-18407090,101.11,1.29
2011,3321917,-55160,331582053,79421544,99.82,25.15
2010,3377077,62290,252160509,63448733,74.67,17.74
2009,3314787,-275841,188711776,-153200712,56.93,-38.29
2008,3590628,-99940,341912488,104700835,95.22,30.95
2007,3690568,-43658,237211653,20584322,64.28,6.26
2006,3734226,-20445,216627331,40871990,58.01,11.20
2005,3754671,-66308,175755341,44012676,46.81,12.33
2004,3820979,144974,131742665,32575492,34.48,7.50
2003,3676005,257983,99167173,21883842,26.98,4.37
2002,3418022,-53045,77283331,2990437,22.61,1.21
2001,3471067,71827,74292894,-15583539,21.40,-5.04
2000,3399240,171148,89876433,38986812,26.44,10.68
1999,3228092,-14620,50889621,13637399,15.76,4.28
1998,3242712,173281,37252222,-16973685,11.49,-6.18
1997,3069431,175785,54225907,-704950,17.67,-1.32
1996,2893646,126333,54930857,11181204,18.98,3.17
now that we have something that looks like a CVS file, can do all kinds of things
- could save it to a file then
- excel, openoffice could read it
- Python has a CVS Reader
- with a little juggling, can easily pump the data into a panda DataFrame
Input:
with open('/tmp/oil.csv', 'w') as f:
for l in oil(url):
f.write(l + '\n')
o = oil(url)
ls = list(o)
s = '\n'.join(ls)
import pandas as pd
import io
# we will cover StringIO next week - kind of an 'in-memory' file
df = pd.read_csv(io.StringIO(s))
df
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Problem 2
- suppose we want to convert between C(Celsius) and F(Fahrenheit), using the equation 9C = 5 (F-32)
- could write functions ‘c2f’ and ‘f2c’
- do all computation in floating point for this problem
- to write f2c, we solved the equation for C, and made a function out of the other side of the equation
- to write c2f, we solved for F, . . .
- there is another way to think about this
- rearrange the equation into a symmetric form 9 * C – 5 * F = -32 * 5
- you can think of the equation above as a “constraint” between F and C. if you specify one variable, the other’s value is determined by the equation. in general, if we have c0 * x0 + c1 * x1 + … cN * xN = total
- cI are fixed coefficients
- specifying any N of the (N + 1) x’s will determine the remaining x variable
- define a class, ‘Constaint’ that will do ‘constraint satisfaction’
- you may find ‘dotnone’ to be helpful
Problem 3 – Hamlet
- Python is very popular in ‘digital humanities’
- MIT has the complete works of Shakespeare in a simple html format
- You will do a simple analysis of Hamlet by reading the html file, one line at a time(usual iteration scheme) and doing pattern matching
- The goal is to return a list of the linecnt, total number of ‘speeches’(look at the file format), and a dict showing the number of ‘speeches’ each character gives
- Your program should read directly from the url given, but you may want to download a copy to examine the structure of the file.
- remember that usrlib.request returns ‘byte arrays’, not strings
- here’s a short sample of the file
Problem 4
- in class, we discussed two different ways to represent a polynomial
- polylist, a ‘dense’ represenation, that hold the coefficients in a list
- polydict, a ‘sparse’ representation, that holds (exponent, coefficent) pairs in a dict
- add a method, ‘topolydict()’ to class ‘polylist’, that converts the polylist into a polydict
- add a method, ‘topolylist()’ to class ‘polydict’, that converts the polydict into a polylist
- note that polylist->polydict will always work, but polydict->polylist can fail, because a polylist cannot represent negative exponents. in this case, raise a ValueError
- just to tell them apart, polylist prints with a leading ‘+’
关于分析师
LE PHUONG
在此对LE PHUONG对本文所作的贡献表示诚挚感谢,她在山东大学完成了计算机科学与技术专业的硕士学位,专注数据分析、数据可视化、数据采集等。擅长Python、SQL、C/C++、HTML、CSS、VSCode、Linux、Jupyter Notebook。