Using python 1e) Difficult WordsThe file 'data/dale_chall.txt' contains a list of words which are considered easy in general. Read this file in, storing thefile in a DataFrame called dale_chall_file . (Note that this is a .txt file, so be sure to consider what the sep parametershould be when reading this in and what the value for header should be.)Set the column name to 'easy_words'We will use this list of words to calculate the percentage of difficult words for each message.In [ ]:I # YOUR CODE HEREraise NotImplementedError()In [ ]:I dale_chall_fileIn [ ]:I assert dale_chall_file.shapeassert list(dale_chall_file.columns)(8490, 1)==['easy_words']

import pandas as pd# consider text file as comma seperateddale_challe_file =…

The file 'data/dale_chall.txt' contains a list of words which are considered easy in general. Read this file in, storing the file in a DataFrame called dale_chall_file . (Note that this is a .txt file, so be sure to consider what the sep parameter

The file 'data/dale_chall.txt' contains a list of words which are considered easy in general. Read this file in, storing the file in a DataFrame called dale_chall_file . (Note that this is a .txt file, so be sure to consider what the sep parameter

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter8: I/o Streams And Data Files

Section8.5: A Case Study: Pollen Count File Update

Problem 4E

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Grade Roster Sort (file I/O) My Solutions The file RosterScores.txt contains student test scores with comma-delimited data similar to what is shown in the screen snip below. Names, Scores Marie Curie, 89 Caroline Herschel, 70 Mary Anning,93 Barbara McCiintock, 99 Dorothy Hodkin, 85 Write a script that loads the data from this file into a table aray variable named Rosterscores and sorts the rows in order of the test scores running highest to lowest. Save the result in a new text file named RosterscoresSorted.txt.
### QUESTION FIVE ### def select_lines_from_file(filename, query): pass
randdf.py -> using "sys.argv" Create a program called randdf.py that has a function that takes two integer arguments and prints a Pandas dataframe. The two arguments will correspond to the number of rows and number of columns, respectively. The dataframe should be filled with random integers from 0 to 100. Set your random seed to 56.
Create a structure called applianceTvpe with the following members. Use the proper variable TYPES for the members: name; SUpplierlD: modelNo: cost; Create an array variable of type applianceType that can hold 50 components. Write the code segment to read from a file into the structure array. Declare an input file stream identifier for this purpose. Open the file and read until end of file. Keep a count of how many rows actually read. The data file contains the following data: RefrigeratorABC 80 4657 521.62 ToasterOven 100 3245 245.96 MicroWave 95 7878 345.67 Using a looping construct, output to the console (cout) the data read into the structure array. Make sure you do not go outside the bounds of the array or beyond the number of rows actually read. You do not need to write any #include statements, using statements and you do not have to write code to open the file. Assume the file is open. You do need to declare variables needed for the program segment.
5. select_lines_from_file In this function, we will open a file for reading, look at each line in the file, and return a list of the lines in the file that contain a specified query string. We do not need to change the lines in the file in any way, just put them in a list and return that list. Don't worry about case -- this function is case-insensitive. If we have the following text in a file called final_sample.txt: it was the best of times it was the worst of times time keeps on slippin into the future this sentence does not contain that particular word also this one doesn't contain it either Then a sample call should look like: | >>> select_lines_from_file("final_sample.txt", "time") ['it was the best of times\n', 'it was the worst of times\n', 'time keeps on slippin into the future\n']
5. select_lines_from_file In this function, we will open a file for reading, look at each line in the file, and return a list of the lines in the file that contain a specified query string. We do not need to change the lines in the file in any way, just put them in a list and return that list. Don't worry about case -- this function is case-insensitive. If we have the following text in a file called final_sample.txt: it was the best of times ce it was the worst of times time keeps on slippin into the future this sentence does not contain that particular word also this one doesn't contain it either Then a sample call should look like: >>> select_lines from file("final sample.txt", "time") ['it was the best of times\n', 'it was the worst of times\n', 'time keeps on slippin into the future\n']
Python Programming Assignment: Create a dictionary that takes a basketball team's information (that includes team's name and points) as parameter, creates a teams_dict and returns it. Also, create a parameter for write_file parameter that opens current results text file in write mode and writes the dictionary information to file as per format and closes the file.
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Problem Definition You are provided with a text file (employees.txt) containing a number of text lines. Each line contains a record of one employee. Each record has three attributes: Title: string, Prof. (Professor) or Dr. (Doctor). First and Last names: string. Salary: float number. The attributes are separated by the character (',). Figure 1.a, 1.b, and 1.c show a sample of employees.txt files. Dr., Julia Scott, 141518 Dr., Julia Scott, 141518 Prof.,Joan Stewart, 111673 Mr.,Ali Al-shukaili,122311 Prof., Sana Al-Abri, 131673 Prof.,Joan Stewart Dr., Fadi A1-Rasdhi, 153790 Ms., Salwa Al-Youssfi, 111675 Dr., Daniel Cooper, 153790 Dr., Lillian Brown, unknown Dr. :Benjamin Russell:117642 Dr., Daniel Cooper, 153790 Dr., Lillian Brown, 67251 Dr., Benjamin Russell,117642 Prof., Patrick Bailey, 72305 Dr., Ralph Flores, 118457 Dr., Douglas Flores, 181793 Dr., Lillian Brown, 67251 Figure 1.b: A sample of the text file 'employees.txt" Figure 1.a: A sample of the text file 'employees.txt' without…
Assume that a file contains students' ids, full names, and their scores (Assignments grade, quizzes grade, Midterm grade, Practical exam grade, and final exam grade) (each column is separated by $). You are required to write a C program to do the following: Using the concept of parallel arrays create records for students with above attributes (id, full name, score).(you are not allowed to use structure) • Ask the user to enter the input file name and read it (suppose that, there are different files you could read data from). Read the data from the file and store it in record for students, which has IDs, Names, and Scores. The IDs should be declared as integers, the Names as a two-dimensional array of characters and the Scores as doubles. Assume that the maximum length of full name of any student is 50 characters. Also, you may assume that there will be No more than a 1000 student records in the file. • Calculate the final grade as the flowing: Grade= (Assignment)*15%+(Quizzes)…
Finish this program from the code posted below! Note: There should be two files Main.py and Contact.py You will implement the edit_contact function. In the function, do the following: Ask the user to enter the name of the contact they want to edit. If the contact exists, in a loop, give them the following choices Remove one of the phone numbers from that Contact. Add a phone number to that Contact. Change that Contact's email address. Change that Contact's name (if they do this, you will have to remove the key/value pair from the dictionary and re-add it, since the key is the contact’s name. Use the dictionary's pop method for this!) Stop editing the Contact Once the user is finished making changes to the Contact, the function should return. Code:from Contact import Contactimport pickledef load_contacts():""" Unpickle the data on mydata.dat and save it to a dictionaryReturn an empty dictionary if the file doesn't exist """try:with open("mydata.dat", 'rb') as file:return…