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Click to listen: Ch.05 verbs and voc. midterm (7ed).mp3 Lis…

Click to listen: Ch.05 verbs and voc. midterm (7ed).mp3 Listen to a description of one family’s morning routine, and decide whether each statement is C (cierto), F (falso), or NSM (No se menciona) if the information is not given. Type only the letter(s). 1.[BLANK-1] La familia Chávez no tiene prisa por las mañanas. 2.[BLANK-2] Alberto también pasea por el parque por la mañana. 3.[BLANK-3] Alberto come con Lupe a las seis menos cuarto. 4.[BLANK-4] Los hijos se levantan a las seis y cuarto. 5.[BLANK-5] Los niños también tienen tiempo para ver la televisión por la mañana.

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The coefficient of restitution of a ball is a number between…

The coefficient of restitution of a ball is a number between 0 and 1. This number specifies how much energy is conserved when the ball hits a rigid surface. A coefficient of .9, for example, means a bouncing ball will rise to 90% of its previous height after each bounce. If you drop the ball from an initial height of 10 meters, it will rise to 9 meters (10 * .9) on the first bounce, 8.1 meters (9 * .9) on the second bounce, 7.29 meters (8.1 * .9) on the 3rd bounce, and so on. Write a function named simulate_bounce that accepts 3 arguments: a coefficient, an initial height hi (in integer meters), and a threshold height ht (in integer cm). Your function should use a loop to calculate and return a tuple containing: The number of bounces until the ball rises to a height less than ht. The total distance traveled by the ball (in meters). Note that the final rise and fall of the ball (to the height less than ht) is not counted in this distance: In [1]: simulate_bounce(0.21, 10, 57) Out[1]: (2, 14.2) In [2]: simulate_bounce(0.6, 2, 18) Out[2]: (5, 7.2223999999999995) In [3]: simulate_bounce(0.49, 7, 43) Out[3]: (4, 18.868485999999997)

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Exam will include short-answer questions and essay type ques…

Exam will include short-answer questions and essay type questions and they will cover materials from the reading, Discussion, and the additional course materials. The list of exam questions will be shared by the end of Week 5 to help you prepare. Exams will be proctored via Honorlock.Please ensure that your answers are between 150-200 words for each question, including in-text citations for the articles read in class. You are expected to take exams as scheduled. Failure to do so will result in a zero for the missed exam. Only under exceptional circumstances will make-up exams be permitted. A new and alternative exam will be written for this purpose, and the content and format may differ from the original exam format. Make-up exams will only be granted when all three of the following conditions are met: 1) the student notifies me at least 24 hours prior to the scheduled exam time; 2) the circumstances are extenuating; and 3) the student presents proof of the extenuating circumstances.

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Given: def divide(num1, num2): if num2 != 0: return num1 / n…

Given: def divide(num1, num2): if num2 != 0: return num1 / num2 …and: In [11]: divide(a, b) In [12]: What is the value of the variable a?

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families is a data frame consisting of records about familie…

families is a data frame consisting of records about families, including their number of children and their income (on a scale of 0 – 9). What expression returns a DataFrame containing all records where the family has more than 2 children and all records where the family’s income is above 7?

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Consider: 0 not in [n % i for i in range(2,n)] This expressi…

Consider: 0 not in [n % i for i in range(2,n)] This expression…

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Consider: x[~np.isnan(x)] This expression demonstrates what…

Consider: x[~np.isnan(x)] This expression demonstrates what concept we learned in class?

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Given: a = np.loadtxt(filename, delimiter=”,”) How does NumP…

Given: a = np.loadtxt(filename, delimiter=”,”) How does NumPy determine the data type of the array a?

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What method can you call to get basic statistics (count, mea…

What method can you call to get basic statistics (count, mean, median, std, etc) after grouping a DataFrame?

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The pandas DataFrame candidates has, among other columns, th…

The pandas DataFrame candidates has, among other columns, the name of applicants for a job opening and a logical (or Boolean) column named complete which indicates whether or not the candidate’s application is complete. Which expression returns a DataFrame consisting of all candidates with complete applications?

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