Hacks

  • Write a program that uses a library/libraries in any sort of manner.
  • Explain your work/code

Unit 3 sections 14 and 15 Notes

  • A software library contains procedures that can be used in the creation of new programs.
  • Existing segments of code can come from internal or external sources, ie. libraries or previously written code.
  • The use of libraries simplifies the task of creating complex programs.
  • Application program interfaces (APIs) are specifications for how the procedures in a library behave and can be used.

  • Documentation for a library or API is necessary in understanding the key behaviors provided by the API/library and how to utilize them in your work.

  • A library is a collection of code from an external source that can be used to add functionality to a program.

  • Libraries are very useful, as they can be used to save time and effort in the development process.
  • Libraries are usually included in a program using a special keyword called " ." This keyword tells the program to look for the library and use its code.

Lesson 3.15.1

1) Randomization generates a value between two numbers. For example RANDOM(1,3) may result as 1 or 2 or 3, either one of those.

2) Now if we look into our day to day life we can see that randomization is all around us.

3) In order to use the random function we have to first import random at the very beginning.

Now lets look at the code below right here.

1) The lowest number that will be generated is 0 for answer 1 and for answer2, the lowest that will be generated is 1 so the lowest number that can be generated for answer 3 would be 1.

2) The highest number that will be generated to answer1 is 3 and the highest number that will be generated for answer 2 is 8 so the highest number for answer 3 would be 11.

3) The range of numbers that answer 3 could print out would be from 1 to 11.

Hacks Summary

Hacks 3.14.1

  • Write a program that uses a library/libraries in any sort of manner.
  • Explain your work/code
import math
  
A = 16
print(math.sqrt(A))

#I imported the math library and it helped me be able to calculate the sqrt of A.

Hacks 3.15.1

  • Write a few lines of code that implements the import function
import math
  
A = 16
print(math.sqrt(A))

#I imported the math library and it helped me be able to calculate the sqrt of A.

  • Define what an import random function do

    The import random loads the random module, which contains a number of random number generation-related functions

  • List a few other things that we can import other than random

  • TensorFlow.

  • NumPy.
  • SciPy.
  • Pandas.
  • Matplotlib.
  • Keras.
  • SciKit-Learn.
  • PyTorch.

Hacks 3.15.2

  • For your hacks you need to create a random number generator that will simulate this situation:
  • There is a spinner divided into eight equal parts. 3 parts of the spinner are green, two parts are blue, one part is purple, one part is red, and one part is orange. How can you simulate this situation using a random number generator.
import random
#imports the random library

spinner = random.randint(1,8)
#assigns the spinner variable the random generator

#if spinner <=3 then it will be green and so on for each of the other sections.
if spinner <= 3: 
    print("Green")
if spinner <= 5:
    print("Blue")
if spinner <= 6:
    print("Purple")
if spinner <= 7:
    print("Red")
if spinner <= 8:
    print("Orange")
  • Also answer this question: What numbers can be outputted from RANDOM(12,20) and what numbers are excluded?

The numbers that can be outputted from “RANDOM(12,20) are 12,13,14,15,16,17,18,19, or 20. Anything besides those numbers are excluded.

Method | Description

seed() | Initialize the random number generator

getstate() | Returns the current internal state of the random number generator

setstate() | Restores the internal state of the random number generator

getrandbits() | Returns a number representing the random bits

randrange() | Returns a random number between the given range

randint() | Returns a random number between the given range

choice() | Returns a random element from the given sequence

choices() | Returns a list with a random selection from the given sequence

shuffle() | Takes a sequence and returns the sequence in a random order

sample() | Returns a given sample of a sequence

random() | Returns a random float number between 0 and 1

uniform() | Returns a random float number between two given parameters

betavariate() | Returns a random float number between 0 and 1 based on the Beta distribution (used in statistics)

expovariate() | Returns a random float number based on the Exponential distribution (used in statistics)

gammavariate() | Returns a random float number based on the Gamma distribution (used in statistics)

gauss() | Returns a random float number based on the Gaussian distribution (used in probability theories)

lognormvariate() | Returns a random float number based on a log-normal distribution (used in probability theories)

normalvariate() | Returns a random float number based on the normal distribution (used in probability theories)

vonmisesvariate() | Returns a random float number based on the von Mises distribution (used in directional statistics)

paretovariate() | Returns a random float number based on the Pareto distribution (used in probability theories)

weibullvariate() | Returns a random float number based on the Weibull distribution (used in statistics)