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Algebra Basics

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  • 3101
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  • University Of The People

Algebra Basics: What Is Algebra? - Math Antics with some examples

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  • December 19, 2024
  • 6
  • 2024/2025
  • Class notes
  • Ebenzer
  • All classes
  • University Of The People
  • 3101
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johnjoeljoy777
Introduction

Python is a popular programming language known for its simplicity and versatility. In this chapter,
we will go over the basics of Python programming, including data types, variables, and functions.



Data Types and Variables

Python has several built-in data types, including:



Integers (e.g. 3, -15)

Floating point numbers (e.g. 3.14, -0.5)

Strings (e.g. "hello", 'world')

Booleans (e.g. True, False)

You can assign values to variables in Python like this:



x=3

y = 3.14

name = "Alice"

is_student = True

Functions

In Python, you can define your own functions using the def keyword. Here's an example:



def greet(name):

print("Hello, " + name)



greet("Bob") # prints "Hello, Bob"

You can also define functions that return values. Here's an example:



def add(x, y):

return x + y



result = add(3, 4) # result is now 7

Control Flow

, Python has several control flow statements, including if, for, and while. Here's an example of each:



# if statement

if result > 5:

print("Result is greater than 5")



# for loop

for i in range(5):

print(i)



# while loop

i=0

while i < 5:

print(i)

i += 1

Conclusion

In this chapter, we covered the basics of Python programming, including data types, variables, and
functions. With this knowledge, you can start writing your own Python programs!



Additional Resources

Python Documentation

Python for Everybody

"Python is an easy and intuitive language that is great for beginners, but also powerful enough for
experienced programmers. With its simple syntax and vast ecosystem of libraries, Python is a
popular choice for web development, data analysis, machine learning, and more." - David Beazley,
Python expert and author



Introduction



In this chapter, we will set up our Python and code editor environment to ensure a smooth learning
journey. We will use Anaconda, a free and open-source distribution of Python and R programming
languages for scientific computing, that aims to simplify package management and deployment.

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