Python Basics (37 Part Series)
1 Determining Python Version using the sys Library
2 Terminating a Python Program Using the Exit Function
… 33 more parts…
3 Python: A Guide to Variables
4 Python: Interacting with Users and Handling Sensitive Information
5 Python: Understanding Boolean Values and Operators
6 Introduction to the Python Math Library
7 Introduction to the Python Random Library
8 Working with Bytes in Python
9 Working with Tuples in Python
10 Working with Named Tuples in Python
11 Exploring Deques in Python
12 Python: A Guide to For and While Loops
13 Python: A Guide to Functions
14 Python: A Guide to Lambda Functions
15 Introduction to Classes in Python
16 Introduction to Python Modules and Libraries
17 Handling Exceptions in Python
18 Conditional Statements in Python
19 Disassembling Python Bytecode with the dis Library
20 Datetime Manipulation in Python
21 Using tomllib for Configuration in Python
22 Exploring the os Library With Python
23 Exploring API Requests in Python with the Official Joke API
24 Exploring Alice in Wonderland through Text Files in Python
25 Embracing the Zen of Python: A Guide to Pythonic Programming
26 Exploring the Antigravity Library in Python
27 Working with CSV Files in Python
28 Python Script Structure
29 Introduction to Logging in Python
30 Understanding Dataclasses in Python
31 Understanding the map Function in Python
32 Exploring (Some) Python Integrated Development Environments
33 Conversions in Python
34 Working with XlsxWriter in Python
35 Fortanix Library: Authentication and Security Object Retrieval
36 Interacting with SFTP Repositories: A Paramiko Integration
37 Exploring SharePoint with Microsoft Graph API
Introduction
Conditional statements are a fundamental concept in programming, allowing the execution of specific code blocks depending on whether a certain condition is met. The if
function is used in Python to create conditional statements. In this chapter, we will explore the if
function, its syntax, and how it can be used in mathematical contexts.
The if Function in Python
The if
function is a control structure that allows you to execute code conditionally. The basic syntax of an if statement is as follows:
if condition:
# code to execute if condition is True
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The condition
is an expression that evaluates to a boolean value, True
or False
. If the condition is True
, the code block indented under the if
statement is executed. If the condition is False
, the code block is skipped.
You can also use the elif
and else
statements to specify additional conditions and code blocks to execute if the previous conditions are unmet. Here is an example that demonstrates the use of if
, elif
, and else
statements:
x = 10
if x < 0:
print("x is negative")
elif x == 0:
print("x is zero")
else:
print("x is positive")
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Output:
x is positive
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In this example, the value of x
is 10, so the first condition x < 0
is False
and the first code block is skipped. The second condition x == 0
is also False
, so the second code block is skipped. Since none of the previous conditions were met, the code block under the else
statement is executed, and the output is x is positive
.
You can use logical operators such as and
, or
, and not
to combine multiple conditions. Here is an example that demonstrates the use of logical operators in an if
statement:
x = 10
y = 20
if x > 0 and y > 0:
print("Both x and y are positive")
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Output:
Both x and y are positive
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In this example, both x
and y
are positive, so the condition x > 0 and y > 0
is True
and the code block under the if
statement is executed. The output is Both x and y are positive
.
It is important to note that the logical operators and
, or
, and not
have different precedence. The not
operator has the highest precedence, followed by and
, and then or
. This means that in an expression that contains multiple logical operators, the not
operator is evaluated first, followed by and
, and then or
. Here is an example that demonstrates the precedence of logical operators:
x = 10
y = 20
z = 30
if not x < 0 and y > 0 or z > 0:
print("The condition is True")
else:
print("The condition is False")
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Output:
The condition is True
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In this example, the not
operator is evaluated first, so not x < 0
is True
. Then, the and
operator is evaluated, so True and y > 0 is True
. Finally, the or
operator is evaluated, so True or z > 0
is True
. Since the overall condition is True
, the code block under the if
statement is executed, and the output is The condition is True
.
In Python 3.10 and above, you can also use the match
and case
statements to perform pattern matching. Here is an example that demonstrates the use of match
and case
statements:
x = 10
match x:
case 0:
print("x is zero")
case 1:
print("x is one")
case _:
print("x is neither zero nor one")
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Output:
x is neither zero nor one
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In this example, the value of x
is 10, so the first case 0
is not matched and the first code block is skipped. The second case 1
is also not matched, so the second code block is skipped. Since none of the previous cases were matched, the code block under the case _
statement is executed, and the output is x is neither zero nor one
.
Examples with Math
Here are some examples that demonstrate the use of if
statements in mathematical contexts:
Example 1: Checking if a number is even or odd
x = 10
if x % 2 == 0:
print("x is even")
else:
print("x is odd")
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Output:
x is even
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In this example, we use the modulo operator %
to check if x
is divisible by 2. If x
is divisible by 2, the remainder of x / 2
is 0, so x % 2
is 0 and the condition x % 2 == 0
is True
. The output is x is even
.
Example 2: Solving a quadratic equation
from math import sqrt
a = 1
b = 4
c = 2
# calculate the discriminant d = b**2 - 4*a*c
# find the solutions if d < 0:
print("This equation has no real solution")
elif d == 0:
x = (-b + sqrt(d)) / (2*a)
print(f"This equation has one solution: {x}")
else:
x1 = (-b + sqrt(d)) / (2*a)
x2 = (-b - sqrt(d)) / (2*a)
print(f"This equation has two solutions: {x1} and {x2}")
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Output:
This equation has two solutions: -0.5857864376269049 and -3.414213562373095
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In this example, we use the quadratic formula to solve a quadratic equation of the form ax^2 + bx + c = 0
. The discriminant d
determines the number of real solutions of the equation. If d
is negative, the equation has no real solutions. If d
is zero, the equation has one real solution. If d
is positive, the equation has two real solutions.
In this case, the values of a
, b
, and c
are 1, 4, and 2, respectively. The discriminant d
is calculated as 4**2 - 4*1*2
, which is 8. Since d
is positive, the equation has two real solutions, calculated as (-4 + sqrt(8)) / (2*1)
and (-4 - sqrt(8)) / (2*1)
. The output is This equation has two solutions: -0.5857864376269049 and -3.414213562373095
.
Conclusion
In this chapter, we have explored the if
function in Python, its syntax, and how it can be used in mathematical contexts. We have seen how the if
, elif
, and else
statements can be used to create conditional statements, and how logical operators such as and
, or
, and not
can be used to combine multiple conditions. We have also seen how the match
and case
statements can be used to perform pattern matching in Python 3.10 and above. Through examples, we have demonstrated the use of if
statements in mathematical contexts, such as checking if a number is even or odd and solving a quadratic equation.
Python Basics (37 Part Series)
1 Determining Python Version using the sys Library
2 Terminating a Python Program Using the Exit Function
… 33 more parts…
3 Python: A Guide to Variables
4 Python: Interacting with Users and Handling Sensitive Information
5 Python: Understanding Boolean Values and Operators
6 Introduction to the Python Math Library
7 Introduction to the Python Random Library
8 Working with Bytes in Python
9 Working with Tuples in Python
10 Working with Named Tuples in Python
11 Exploring Deques in Python
12 Python: A Guide to For and While Loops
13 Python: A Guide to Functions
14 Python: A Guide to Lambda Functions
15 Introduction to Classes in Python
16 Introduction to Python Modules and Libraries
17 Handling Exceptions in Python
18 Conditional Statements in Python
19 Disassembling Python Bytecode with the dis Library
20 Datetime Manipulation in Python
21 Using tomllib for Configuration in Python
22 Exploring the os Library With Python
23 Exploring API Requests in Python with the Official Joke API
24 Exploring Alice in Wonderland through Text Files in Python
25 Embracing the Zen of Python: A Guide to Pythonic Programming
26 Exploring the Antigravity Library in Python
27 Working with CSV Files in Python
28 Python Script Structure
29 Introduction to Logging in Python
30 Understanding Dataclasses in Python
31 Understanding the map Function in Python
32 Exploring (Some) Python Integrated Development Environments
33 Conversions in Python
34 Working with XlsxWriter in Python
35 Fortanix Library: Authentication and Security Object Retrieval
36 Interacting with SFTP Repositories: A Paramiko Integration
37 Exploring SharePoint with Microsoft Graph API
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