In [7]:
import numpy as np
import numpy.typing as npt

def replace(a: npt.NDArray, low: int, high: int) -> npt.NDArray:
    """Return a mutated array containing all the same values
    as the array a with all values below low replaced with the 
    number low and all values over high replaces with the number
    high"""
    
    maskLow = a < low
    maskHigh = a > high
    
    a[maskLow] = low
    a[maskHigh] = high
    
    return a

a = np.array([1, 4, 5, 6, 9, 2])
print(replace(a, 3, 6))
print(a)

[3 4 5 6 6 3]
[3 4 5 6 6 3]
In [11]:
import numpy as np

temps = np.array([-23, -9, 10, -3, -18, 20, 34])
safe_temps = np.where((temps < -15) | (temps > 30), 1, 0)


np.savetxt("safe_temps.ssv", safe_temps)
In [1]:
class Student:
    """
    Store information about a students assignment grades
    as a list and compute their average.
    """
    grades: list[float]
    
    def __init__(self) -> None:
        self.grades = []
        
    def assignment(self, score: float) -> None:
        self.grades.append(score)  
        
    def average(self) -> float:
        if self.grades == []:
            return 0.0
        average = 0.0
        for grade in self.grades:
            average += grade
        return average / len(self.grades)

studentA = Student()
studentA.assignment(90.0)
studentA.assignment(88.5)
print("grades:", studentA.grades, "avg:", studentA.average())

grades: [90.0, 88.5] avg: 89.25
In [ ]: