Spot and fix two errors in the following code: import pandas_datareader as pd MoetChandonSharePrice=pd.data.DataReader('MC.PA', data_source='yahoo') head (MoetChandonSharePrice) MoetChandonSharePrice['Adj Close'].Plot()

Spot and fix two errors in the following code: import pandas_datareader as pd MoetChandonSharePrice=pd.data.DataReader('MC.PA', data_source='yahoo') head (MoetChandonSharePrice) MoetChandonSharePrice['Adj Close'].Plot()

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Insertion db.books.insertMany([{"_id": "78945612","Title": "The Hobbit","Author": "J.R.R. Tolkien"},{"_id": "65432187","Title": "DaVinci Code","Author": "Daneil Brown"},{"_id": "your id","Title": "DBS311","Author": "your name"} ]) write a mongodb code to add the ‘Publication_Year’ to the whole coe ,iwith value ‘1932’.
Please write this small R code: In the setup chunk,, add code to load the following 3 packages: tidyverse, plotly, and crosstalk. Recall that packages are loaded with the library function, e.g. Below these, add another line of code to read in the data from the pokemon.csv file using the read_csvfunction, and store it as a variable called pokemon. You should do this in setup chunk at the top of the Rmd file. (You can leave the columns as their default datatypes.) Make sure you use read_csv and not read.csv (read_csv is a more modern function that is part of the tidyverse).
Campground reservations, part 3: Available campsites Excellent job! This next one's a little more challenging. Which campsites are available to reserve? We want to be able to quickly find which campsites are available. Can you help us? Given a campgrounds array, return an array with the campsite numbers of all currently unreserved (isReserved === false) campsites. Call the function availableCampsites. Dataset As a reminder, our data looks like this. It's an array with a bunch of campsite objects in it. Here is a small subset of the data to give you an idea: const campgrounds = [ { number: 1, view: "ocean", partySize: 8, isReserved: false }, { number: 5, view: "ocean", partySize: 4, isReserved: false }, { number: 12, view: "ocean", partySize: 4, isReserved: true }, { number: 18, view: "forest", partySize: 4, isReserved: false }, { number: 23, view: "forest", partySize: 4, isReserved: true }, ];
Do not add import statements
1. The following code will cause error during execution. What is the reason? import pandas as pd data = pd. Series (range(10)) data.index [5)='five' A. arange () instead of range ( ) should be used. B. pandas Index does not support mutable operations. C. index 5 is out of bounds for axis 0. D. The Series object has no attribute 'index'. 2. Which of the following statement(s) regarding the Python library pandas is/are сorrect? (1) A DataFrame represents a rectangular table of data and contains an ordered collection of columns that are of same value data types. (2) A Series is a n-dimensional array-like object containing sequences of values. (3) pandas automatically aligns two Series object by index label in arithmetic operations. А. (1) only В. (3) only C. (1) & (3) D. All of the above
In Python: Which of the following set methods can be used to add a group of elements to a set? update( ) add( ) merge( ) append( )
A date-to-event dictionary is a dictionary in which the keys are dates (as strings in the format 'YYYY-MM-DD'), and the values are lists of events that take place on that day. Complete the following function according to its docstring. Your code must not mutate the parameter! def group_by_year (events: Dict[str, List[str]]) -> Dict [str, Dict [str, List[str]]]: """Return a dictionary in which in the keys are the years that appear in the dates in events, and the values are the date-to-event dictionaries for all dates in that year. >>> date_to_event = {'2018-01-17': ['meeting', 'lunch'], '2018-03-15': ['lecture'], '2017-05-04': ['gym', 'dinner']} >>> group_by_year (date_to_event) {'2018': {'2018-01-17': ['meeting', 'lunch'], '2018-03-15': ['lecture']}, '2017': {'2017-05-04': ['gym', 'dinner']} } || || ||
A WriteOnly attribute may be implemented automatically. True vs. False
TaskGiven an integer, , and space-separated integers as input, create a tuple, , of those integers. Then compute and print the result of . Note: hash() is one of the functions in the __builtins__ module, so it need not be imported. Input Format The first line contains an integer, , denoting the number of elements in the tuple.The second line contains space-separated integers describing the elements in tuple . Output Format Print the result of hash(t). Sample Input 0 21 2 Sample Output 0 3713081631934410656
Filename: runlength_decoder.py Starter code for data: hw4data.py Download hw4data.py Download hw4data.pyYou must provide a function named decode() that takes a list of RLE-encoded values as its single parameter, and returns a list containing the decoded values with the “runs” expanded. If we were to use Python annotations, the function signature would look similar to this:def decode(data : list) -> list: Run-length encoding (RLE) is a simple, “lossless” compression scheme in which “runs” of data. The same value in consecutive data elements are stored as a single occurrence of the data value, and a count of occurrences for the run. For example, using Python lists, the initial list: [‘P’,‘P’,‘P’,‘P’,‘P’,‘Y’,‘Y’,‘Y’,‘P’,‘G’,‘G’] would be encoded as: ['P', 5, 'Y', 3, ‘P’, 1, ‘G’, 2] So, instead of using 11 “units” of space (if we consider the space for a character/int 1 unit), we only use 8 “units”. In this small example, we don’t achieve much of a savings (and indeed the…
Q1. The last post didnt include the items in the database. Need a different function for the python program display_ticket below: def display_tickets():t = Texttable()tickets=cur.execute('''SELECT * FROM tickets''')for i in tickets:t.add_rows([['tid', 'actual_speed','posted_speed','age','violator_sex'],list(i)])print()print(t.draw())print() Q2. Also need a different function for the python program add_ticket below: def add_tickets():actual_speed=int(input("enter actual speed:"))posted_speed=int(input("enter posted speed:"))age=int(input("enter age:"))sex=input("Male or Female:")cur.execute('''INSERT INTO tickets(actual_speed,posted_speed,age,violator_sex) VALUES(?,?,?,?)''',(actual_speed,posted_speed,age,sex))con.commit() If you'd like to see what thousands of traffic tickets look like, check out this link: https://www.twincities.com/2017/08/11/we-analyzed-224915-minnesota-speeding-tickets-see-what-we-learned/
Seq is a sequence object that can be imported from Biopython using the following statement: from Bio.Seq import Seq If my_seq is a Seq object, what is the correct Biopython code to print the reverse complement of my_seq? Hint. Use the built-in function help you find out the methods of the Seq object. print('reverse complement is %s' % complement(my_seq.reverse())) print('reverse complement is %s' % my_seq.reverse()) print('reverse complement is %s' % my_seq.reverse_complement()) print('reverse complement is %s' % reverse(my_seq.complement()))