Simplifying Data Science With Python

Simplifying Data

Science with Python

By

Billy David Millican

Table of Contents

Title Page

Chapter 1 - Getting Started with Python

Chapter 2: Python Basics

Chapter 3: Functions and Modules

Chapter 4: Data Structures in Python

Chapter 5: Introduction to Machine Learning

Chapter 6: Getting Started with Machine Learning

Chapter 7: Supervised Learning

Chapter 8: Unsupervised Learning

Chapter 9: Advanced Machine Learning Techniques

Chapter 10: Preparing Data for Machine Learning

Chapter 11: Training and Tuning Models

Chapter 12: Deploying Machine Learning Models

Chapter 13: Real- World AI Applications

Chapter 14: Ethical Considerations in AI

Chapter 15: The Future of AI

Chapter 16: End-to-End Machine Learning Project

Chapter 17: Business Intelligence (BI) and Assurance

Index

Credits

Chapter 1 - Getting Started with Python

Introduction

Python is a versatile and beginner-friendly programming language

That’s widely used in many areas, including web development,

Data science, artificial intelligence, and more. 

In this chapter, we’ll cover the basics of installing Python, setting up your development environment, and writing your first Python script

1.1 Installing Python

To start coding in Python, you need to install the Python interpreter

On your computer. Follow these steps to install Python:

1. Go to the official Python website: python.org

2. Download the latest version of Python.

3. Run the installer and follow the instructions. Make sure to check the box that says

Add Python to PATH.

1.2 Python IDEs and Tools

An Integrated Development Environment (IDE) can make coding in

Python easier by providing features like syntax highlighting, code

Completion, and debugging tools. Some popular PythonIDEs include:

PyCharm: A powerful IDE for Python with many features, suitable for

large projects.

Jupiter Notebook: An interactive environment perfect for data science

and experimentation.

VS Code: A lightweight but powerful code editor with Python support.

Installing VS Code:

Download VS Code from code.visualstudio.com

Install the Python extension from the Extension marketplace for

added Python support.

1.3 Writing and Running Your First Python Script

Let’s write a simple Python script that prints Hello, World! To the console

1.  Open your IDE: Launch preferred IDE or a text editor.

2.  Write the Code: Type the following code:

print(Hello, World)

3.  Save the File: Save the file with a .py extension, for example, hello.py.

4. Run the Script: Open a terminal or command prompt, navigate to the 

directory where you saved the file, and run:

python hello.py  and press enter

You should see the output: 

Hello, World!

1.4 Basic Python Syntax 

Variables and Data Types:

Variables are used to store data. Python supports various data

types, such as integers, floats, string, and booleans.

x = 5                       #  Integer

y = 3.14                  #  Float

name = Alice      #  String

is_student = True # Boolean

Basic Operations:

Python supports arithmetic operations such as addition,

subtraction, multiplication, and division.

a = 10

B = 3

print(a + b)  # 13

print(a - b)  #  7

print(a * b)  #  30

print(a /  b)  #  3. 3.3333

Control Structures:

Python uses control structures like if, for, and while to control the flow of   

the program.

# If statement

If a > b:

print(a is greater than b)

# For loop

for i in range (5):

print(i)

# While loop

count = 0

while count < 5:

print(count)

count  +=  1

1.5 Functions and Modules

Defining Functions:

Functions are reusable blocks of code.  Define a function using the def    

keyword.

def greet(name):

print(f"Hello,

{name}!")

greet(Alice).    # Output:

Hello, Alice! 

Importing