list_example = [10, 1.23, "like this", True, None]
print(list_example)
type(list_example)[10, 1.23, 'like this', True, None]listVariables Are Names, Not Places
*A value is datum (literal) such as a number or text
*There are different types of values:
*352.3 is known as a float or double;
*22 is an integer;
*“Hello World!” is a string.
[10, 1.23, ‘like this’, True, None]
*The most. basic built-in data types that we’ll need to know about are: integers, 10 floats, 1.23 strings, “like this” booleans, True nothing, None
*Python also has a built-in type of data container called a list (ex. [10,15,20]) that can contain anything, even different types
##Values, Variables, and Types
a = 10
print(a)10*A variable is a name that refers to a value.
**We can think of a variable as a box that has a value, or multiple values, packed inside it A variable is just a name!
*Sometimes you will hear variables referred to as objects.
*Everything that is not a literal value, such as 10, is an object
##Assignment (=)
# Here we assign the integer value 5 to the variable x.
x = 5
# Now we can use the variable x in the next line.
y = x + 12
y17*In Python, we use = to assign a value to a variable
*In math, = means equality of both sides
*In programs, = means assignment: assign the value on the right side to the variable on the left side.
*In programming code, everything on the right side needs to have a value.
*The right side can be a literal value, or a variable that has already been assigned a value, or a combination.
*When Python reads y= x + 12, it does the following: Sees the = in the middle.Knows that this is an assignment.
*Calculates the right side (gets the value of the object referred to by x and adds it to 12).
*Assigns the result to the left-side variable, y.
##Code and Comment Style
*The two main principles for coding and managing data are: Make things easier for your future self. Don’t trust your future self.
*The # mark is Google Colab’s comment character The # character has many names: hash, sharp, pound, or octothorpe. The # indicates that the rest of the line is to be ignored. **Write comments before the line that you want the comment to apply to.
*Consider adding more comments on code cells and their results using text cells.
##Brackets *There are several kinds of brackets in Python, including [], {}, and ().
vector = ['a', 'b']
vector[0]'a'*[] is used to denote a list or to signify accessing a position using an index
{'a', 'b'} # set
{'first_letter': 'a', 'second_letter': 'b'} # dictionary{'first_letter': 'a', 'second_letter': 'b'}{‘first_letter’: ‘a’, ‘second_letter’: ‘b’} {} is used to denote a set or a dictionary (with key-value pairs)
*() is used to denote a tuple, or the arguments to a function, ex. function(x) where x is the input passed to the function ##Q1
(2**5/(7*(4-2**3)))-1.1428571428571428##Q2
20 == '20'False*This is saying 20 is not equal to ‘20’ because they are different data types (int vs string)
x = 4.0
y = .5
z = 3*y - x
x < y or 3*y < xTrueTrue This says the expression is true since 3.5 < 4
##Q3
fare = "$10.00"
tip = "2.00$"
tax = "$ 0.80"Write a Python code that uses slicing and the print() function to print out the following message:
The total trip cost is: $12.80
total =fare = "$10.00"
tip = "2.00$"
tax = "$ 0.80"
total = fare[0:2] + tip[0] + tax[3:6]
print("The total trip cost is:", total)
#The total trip cost is: $12.80The total trip cost is:", total)The total trip cost is: $12.80##Q4
list_variable = [100, 144, 169, 1000, 8]Write a Python code that uses print() and max() functions to print out the largest value in the list, list_variable, as follows:
The largest value in the list is: 1000
list_variable = [100,144,169,1000,8]
x =max(list_variable)
print('The largest value in the list is:',x)
#The largest value in the list is: 1000The largest value in the list is: 1000The largest value in the list is: 1000 ##Q5 Import the pandas library as pd. Install the itables package. *From itables, import the function init_notebook_mode and show.
import pandas as pd
!pip install itables
from itables import init_notebook_mode
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