Python_Exercises.py

# ## Exercises

# Answer the questions or complete the tasks outlined in bold below.


import numpy as np


def power(a, b):

    # ** What is 7 to the power of 4?**

  return a**b


def split_str(s):

    # ** Split this string:**
    #
    #     s = "Hi there Sam!"
    #
    # **into a list. **

  return list(s.split())


def format(planet, diameter):

    # ** Given the variables:**
    #
    #     planet = "Earth"
    #     diameter = 12742
    #
    # ** Use .format() to print the following string: **
    #
    #     The diameter of Earth is 12742 kilometers.

  return "The diameter of {} is {} kilometers.".format(planet, diameter)


def indexing(lst):

    # ** Given this nested list, use indexing to grab the word "hello" **

    # lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]

  return lst[3][1][2][0]


def dictionary(d):

    # ** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky **

    # d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}

  return d['k1'][3]['tricky'][3]['target'][3]


def subjective():

    # ** What is the main difference between a tuple and a list? **
    # Tuple is _______

  return "immutable"


def domainGet(email):

    # ** Create a function that grabs the email website domain from a string in the form: **
    #
    #     user@domain.com
    #
    # **So for example, passing "user@domain.com" would return: domain.com**

  return str(list(email.split("@"))[1])


def findDog(st):

    # ** Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. **

  return "dog" in st.lower()


def countDog(st):

    # ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **

  return len(st.lower().split("dog")) - 1


def lambdafunc(seq):

    # ** Use lambda expressions and the filter() function to filter out words from a list that don't start with the letter 's'. For example:**
    #
    #     seq = ['soup','dog','salad','cat','great']
    #
    # **should be filtered down to:**
    #
    #     ['soup','salad']

  return list(filter(lambda x: x[0] == "s", seq))


def caught_speeding(speed, is_birthday):

    # **You are driving a little too fast, and a police officer stops you. Write a function
    #   to return one of 3 possible results: "No ticket", "Small ticket", or "Big Ticket".
    #   If your speed is 60 or less, the result is "No Ticket". If speed is between 61
    #   and 80 inclusive, the result is "Small Ticket". If speed is 81 or more, the result is "Big Ticket". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all
    #   cases. **

  limits = [60, 80]
  if is_birthday:
    limits = [65, 85]

  if speed <= limits[0]:
    return "No Ticket"
  elif speed <= limits[1]:
    return "Small Ticket"
  else:
    return "Big Ticket"

# Numpy Exercises


def create_arr_of_fives():

  # Create an array of 10 fives
  # Convert your output into list
  # e.g return list(arr)
  return list(np.full(10, 5))


def even_num():

  # Create an array of all the even integers from 10 to 50
  # Convert your output into list
  # e.g return list(arr)

  return list(np.arange(10, 51, 2))


def create_matrix():

  # Create a 3x3 matrix with values ranging from 0 to 8
  # Convert your output into list
  # e.g return (arr).tolist()

  return np.arange(9).reshape(3, 3).tolist()


def linear_space():

  # Create an array of 20 linearly spaced points between 0 and 1
  # Convert your output into list
  # e.g return list(arr)

  return list(np.linspace(0, 1, 20))


def decimal_mat():

  # Create an array of size 10*10 consisting of numbers from 0.01 to 1
  # Convert your output into list
  # e.g return (arr).tolist()

  return np.around(np.linspace(0.01, 1., 100), decimals=2).reshape(10, 10).tolist()


def slices_1():

  # This is a given array
  arr = np.arange(1, 26).reshape(5, 5)
  # array([[ 1,  2,  3,  4,  5],
  #      [ 6,  7,  8,  9, 10],
  #      [11, 12, 13, 14, 15],
  #      [16, 17, 18, 19, 20],
  #      [21, 22, 23, 24, 25]])

  # Write a code to slice this given array
  # Convert your output into list
  # e.g return (arr).tolist()
  # array([[12, 13, 14, 15],
  #      [17, 18, 19, 20],
  #      [22, 23, 24, 25]])

  return arr[2:, 1:].tolist()


def slices_2():

  # This is a given array
  arr = np.arange(1, 26).reshape(5, 5)
  # array([[ 1,  2,  3,  4,  5],
  #      [ 6,  7,  8,  9, 10],
  #      [11, 12, 13, 14, 15],
  #      [16, 17, 18, 19, 20],
  #      [21, 22, 23, 24, 25]])

  # Write a code to slice this given array
  # Convert your output into list
  # e.g return (arr).tolist()
  # array([[ 2],
  #      [ 7],
  #      [12]])

  return (arr[:3, 1:2]).tolist()


def slices_3():

  # This is a given array
  arr = np.arange(1, 26).reshape(5, 5)
  # array([[ 1,  2,  3,  4,  5],
  #      [ 6,  7,  8,  9, 10],
  #      [11, 12, 13, 14, 15],
  #      [16, 17, 18, 19, 20],
  #      [21, 22, 23, 24, 25]])

  # Write a code to slice this given array
  # Convert your output into list
  # e.g return (arr).tolist()
  # array([[16, 17, 18, 19, 20],
  #      [21, 22, 23, 24, 25]])

  return (arr[3:]).tolist()


# Great job!