Python Fundamentals#
Learning Objectives#
At the end of this lesson you will be able to:
Identify and explain the basic data types used in Python.
Create and use new variables in Python.
Assign values to variables, and change these values later.
Identify and use some built in features and functions of Python.
Perform some simple operations on variables.
Key points#
“Basic data types in Python include integers, strings, and floating-point numbers.”
“Use
variable = value
to assign a value to a variable in order to record it in memory.”“Variables are created on demand whenever a value is assigned to them.”
“Use
print(something)
to display the value ofsomething
.”“Built-in functions are always available to use.”
Variables#
Any Python interpreter can be used as a calculator:
3 + 5 * 4
23
This is great but not very interesting.
To do anything useful with data, we need to assign its value to a variable.
In Python, we can assign a value to a variable, using the equals sign =
.
For example, we can track the weight of a patient who weighs 60 kilograms by
assigning the value 60
to a variable weight_kg
:
weight_kg = 60
From now on, whenever we use weight_kg
, Python will substitute the value we assigned to
it. In layperson’s terms, a variable is a name for a value.
In Python, variable names:
can include letters, digits, and underscores
cannot start with a digit
are case-sensitive.
This means that, for example:
weight0
is a valid variable name, whereas0weight
is notweight
andWeight
are different variables.
Types of data#
Python knows various types of data. Three common ones are:
integer numbers
floating point numbers, and
strings.
In the example above, variable weight_kg
has an integer value of 60
.
If we want to more precisely track the weight of our patient,
we can use a floating point value by executing:
weight_kg = 60.3
To create a string, we add single or double quotes around some text. To identify and track a patient throughout our study, we can assign each person a unique identifier by storing it in a string:
patient_id = '001'
Using Variables in Python#
Once we have data stored with variable names, we can make use of it in calculations. We may want to store our patient’s weight in pounds as well as kilograms:
weight_lb = 2.2 * weight_kg
We might decide to add a prefix to our patient identifier:
patient_id = 'inflam_' + patient_id
Built-in Python functions#
To carry out common tasks with data and variables in Python,
the language provides us with several built-in functions.
To display information to the screen, we use the print
function:
print(weight_lb)
print(patient_id)
132.66
inflam_001
When we want to make use of a function, referred to as calling the function, we follow its name by parentheses. The parentheses are important: if you leave them off, the function doesn’t actually run! Sometimes you will include values or variables inside the parentheses for the function to use. In the case of print
, we use the parentheses to tell the function what value we want to display. We will learn more about how functions work and how to create our own in later episodes.
We can display multiple things at once using only one print
call:
print(patient_id, 'weight in kilograms:', weight_kg)
inflam_001 weight in kilograms: 60.3
We can also call a function inside of another function call. For example, Python has a built-in function called type
that tells you a value’s data type:
print(type(60.3))
print(type(patient_id))
<class 'float'>
<class 'str'>
Moreover, we can do arithmetic with variables right inside the print
function:
print('weight in pounds:', 2.2 * weight_kg)
weight in pounds: 132.66
The above command, however, did not change the value of weight_kg
:
print(weight_kg)
60.3
To change the value of the weight_kg
variable, we have to assign weight_kg
a new value using the equals =
sign:
weight_kg = 65.0
print('weight in kilograms is now:', weight_kg)
weight in kilograms is now: 65.0
Variables as Sticky Notes#
A variable in Python is analogous to a sticky note with a name written on it: assigning a value to a variable is like putting that sticky note on a particular value.
Using this analogy, we can investigate how assigning a value to one variable does not change values of other, seemingly related, variables. For example, let’s store the subject’s weight in pounds in its own variable:
# There are 2.2 pounds per kilogram
weight_lb = 2.2 * weight_kg
print('weight in kilograms:', weight_kg, 'and in pounds:', weight_lb)
weight in kilograms: 65.0 and in pounds: 143.0
Similar to above, the expression 2.2 * weight_kg
is evaluated to 143.0
, and then this value is assigned to the variable weight_lb
(i.e. the sticky note weight_lb
is placed on 143.0
). At this point, each variable is “stuck” to completely distinct and unrelated values.
Let’s now change weight_kg
:
weight_kg = 100.0
print('weight in kilograms is now:', weight_kg, 'and weight in pounds is still:', weight_lb)
weight in kilograms is now: 100.0 and weight in pounds is still: 143.0
Since weight_lb
doesn’t “remember” where its value comes from, it is not updated when we change weight_kg
.
Check Your Understanding#
What values do the variables mass
and age
have after each of the following statements? Test your answer by executing the lines.
mass = 47.5
age = 122
mass = mass * 2.0
age = age - 20
Solution
mass
holds a value of 47.5,age
does not existmass
still holds a value of 47.5,age
holds a value of 122mass
now has a value of 95.0,age
’s value is still 122mass
still has a value of 95.0,age
now holds 102
Sorting Out References#
Python allows you to assign multiple values to multiple variables in one line by separating the variables and values with commas. What does the following program print out?
first, second = 'Grace', 'Hopper'
third, fourth = second, first
# Solution Code
#print(third, fourth)
Solution
Hopper Grace
Seeing Data Types#
What are the data types of the following variables?
planet = 'Earth'
apples = 5
distance = 10.5
# Solution Code
#print(type(planet))
#print(type(apples))
#print(type(distance))
Solution
<class str>
<class int>
<class float>