MASTERING PYTHON FOR ARTIFICIAL INTELLIGENCE: The Trilogy – Part I: The Essentials of Python Programming

Table of contents :
Python Book
MASTERING PYTHON FOR ARTIFICIAL INTELLIGENCE
The Trilogy – Part I:
The Essentials of Python Programming
TABLE OF CONTENTS
TABLE OF CONTENTS…………………………………………………………………4
PREFACE
INTRODUCTION
Artificial intelligence (AI) is shaping our world with unprecedented speed and impact, transforming industries from healthcare to finance, education, and business. With the rapid evolution of technologies like Generative AI, large language models, conversational agents like ChatGPT, AI-driven copilots, and autonomous vehicles, AI is no longer a subject confined to the realms of experts. It’s a topic being discussed around kitchen tables and in boardrooms alike, with its relevance permeating almost every facet of modern life.
Tech giants like OpenAI and Google have been investing heavily in advancing AI capabilities, pushing the boundaries of what is possible and making these technologies increasingly accessible. This investment surge is bringing incredible tools to coders, data scientists, and even those just starting their journey in programming. Today, AI is not only capable of writing code and finding patterns in data but also of interpreting complex codebases, making programming both faster and more intuitive.
However, amid this transformation, there will always be a need for human expertise—those who understand and wield AI tools. While some jobs may be redefined by AI and robotics, new roles are emerging that demand a strong foundation in AI. For those concerned about job security, it’s essential to realize that it’s not robots but those proficient in AI and machine learning who are likely to lead in this new era.
At the core of this revolution lies Python, the backbone of modern AI. Although AI development involves multiple programming languages, Python stands out with its simplicity, flexibility, and vast ecosystem of AI libraries. Industry projections suggest that Python will remain central to AI, given its accessibility and power to streamline complex tasks, from data processing to neural network modeling.
This book, Mastering Python for AI, is our contribution to this exciting field. Written with the assistance of AI, it aims to make learning Python more accessible and engaging for everyone. Whether you're a beginner or looking to deepen your expertise, this book is designed to empower you with the knowledge and skills to thrive in the AI-driven future.
Embark on this journey with us, and become a part of the dynamic world where Python and AI converge. Together, we're not just learning a language—we're shaping the future.
Chapter 1: Introduction to Python
Coding and Programming Languages
Why Python? A Closer Look at the Language of the Future
Why Choose Python? Unlocking the Power of a Versatile Language
1. Easy-to-Read Syntax: One of Python’s most notable strengths is its straightforward, readable syntax, which makes it highly user-friendly. Whether you’re a beginner just starting your coding journey or an experienced developer, Python’s simplicity allows you to focus on solving problems rather than struggling with complex code. Its clean and intuitive structure means you can write less code to accomplish more, increasing productivity and efficiency.
3. Dominance in AI and Robotics: Python has become the go-to language for artificial intelligence (AI) and robotics. Its robust libraries, including TensorFlow and PyTorch, provide developers with powerful tools to build advanced AI models. In robotics, Python’s compatibility with hardware and real-time data processing capabilities make it ideal for developing cutting-edge autonomous systems. Whether it's self-driving cars or AI-driven chatbots, Python plays a pivotal role in shaping the future of technology.
4. Open Source and Free: Python’s open-source nature means it’s free to use, modify, and distribute. This accessibility has fostered a vibrant global community of developers who contribute to Python’s continuous growth and improvement. The collaborative nature of Python ensures that it remains at the forefront of technology, constantly evolving to meet the demands of new industries and applications.
5. Interpreted Language for Speed and Flexibility: As an interpreted language, Python runs code line by line, making it easier to debug and test applications quickly. This flexibility speeds up the development process, allowing for faster iteration and refinement. Python’s portability across different platforms (Windows, macOS, Linux) further enhances its versatility, making it a preferred choice for developers working in diverse environments.
6. Extensive Library Support: Python’s vast ecosystem of libraries is another reason for its popularity. From data analysis with Pandas and NumPy to machine learning with TensorFlow, Python provides pre-built solutions for almost any problem. These libraries save developers time and effort, allowing them to focus on innovation rather than reinventing the wheel. For web development, frameworks like Django and Flask streamline the creation of web applications, further showcasing Python’s adaptability.
7. Rapid Growth and Community Support: Python’s popularity has skyrocketed over the past decade, consistently ranking as one of the most in-demand programming languages. This growth is supported by a large, active community that provides tutorials, documentation, forums, and mentorship. Whether you're facing a coding challenge or seeking to expand your knowledge, Python’s extensive community offers the support you need to succeed.
Python Career Opportunities: Unlocking Lucrative Paths in Technology
Python IDEs: Your Essential Tools for Efficient Development
A Quick Recap of Introduction to Python
Chapter 2: Fundamentals of Python: Building a Strong Foundation
Understanding Syntax: The Grammar of Programming
Mastering Quotation Marks in Python: Essential Syntax for Clear, Effective Code
Ensuring Consistency with Quotation Marks in Python
Mastering the Power of Comments in Python
Why Are Comments So Important?
Practical Examples of Comments in Python
Adding Single-Line Comments
Temporarily Disabling Code with Comments
Multi-Line Comments with Triple Quotes
Understanding Variables: The Foundation of Programming
What is a Variable?
Examples of Variables as Boxes
Modifying Variables
Declaring and Initializing Variables
Exploring Key Characteristics of Variables in Python
1. Variables are Case-Sensitive
2. Variables are Dynamically Typed
3. Use Descriptive Variable Names
4. Avoid Reserved Words
5. Rules for Variable Names
Mastering the Art of Naming Variables in Python
Why Naming Conventions Matter
PEP 8: The Official Python Style Guide
Naming Styles: Snake Case, Pascal Case, and Camel Case
Snake Case
Pascal Case
Camel Case
Conclusion: Following PEP 8 with Snake Case
Exploring Python's Versatility: Data Types
Why Data Types Matter in Python
Key Data Types We'll Focus On
Exploring Each Data Type in Python
1. Integers (int)
2. Floats (float)
3. Complex Numbers (complex)
4. Strings (str)
Understanding Data Types with the type Function
A Quick Recap of Fundamentals of Python: Building a Strong Foundation
Chapter 3: Essential String Manipulation Techniques in Python
Special Characters and Escape Sequences Mastering Special Characters and Escape Sequences in Python
Understanding the Backslash (\): The Escape Operator
Why the Escape Character is Essential
Example 1: Handling Quotes Inside Strings
Example 2: Using Backslashes in File Paths
The Newline Character (\n): Adding Line Breaks
Why the Newline Character is Important
The Tab Character (\t): Creating Aligned Text
Why Tabs Matter
Combining \n and \t for Advanced Formatting
Practice Example: A Task List with Indentation
Understanding Indentation in Python
Mastering String Manipulation with Escape Characters in Python: A Series of Exercises
Exercise 1: Handling Quotes in a String
Exercise 2: Displaying a File Path
Exercise 3: Writing a Multi-Line String
Exercise 4: Formatting a Shopping List with Newlines and Tabs
Exercise 5: Aligning a Report Card with Tabs
Exercise 6: Displaying a File Path
Exercise 7: Creating a Menu
Exercise 8: Writing a Paragraph
Exercise 9: Displaying a File Structure
Exercise 10: Creating a Path Structure with Indents
Basic Operations Unlocking the Power of Basic String Operations in Python
Measuring Up with len()
Whisper or Shout: lower() and upper()
lower()
upper()
The First Impression Matters: capitalize()
The Professional Touch: title()
Flip the Script with swapcase()
Clean Up Your Act: strip(), lstrip(), and rstrip()
strip()
lstrip()
rstrip()
String Manipulation with Basic Operations in Python: A Series of Exercises
Checking and Finding Mastering String Checks and Searches in Python
Verifying Beginnings with startswith()
Ensuring Consistency at the End: endswith()
Searching Within Strings: find() and rfind()
find() Method
rfind() Method
Precision with index() and rindex()
index() Method
rindex() Method
Counting Occurrences with count()
Checking and Finding Strings in Python: A Series of Exercises
Modification and Replacement Essential Methods for Text Manipulation and Formatting in Python
Replacing with Precision: replace()
Merging with join()
Splitting for Easy Handling: split(), rsplit(), and splitlines()
split() Method
rsplit() Method
splitlines() Method
Formatting for Consistency: zfill(), center(), ljust(), and rjust()
zfill() Method
center() Method
String Modification and Replacement Methods in Python: A Series of Exercises
Character Properties Exploring Character Properties in Python
Alphabetic Check: isalpha()
Numeric Check: isdigit()
Alphanumeric Check: isalnum()
Whitespace Check: isspace()
Case Checks: islower(), isupper(), and istitle()
islower() Method
isupper() Method
istitle() Method
Special Character Checks: isdecimal(), isascii(), isnumeric(), and isprintable()
isdecimal() Method
isascii() Method
isnumeric() Method
isprintable() Method
Character Property Methods in Python: A Series of Exercises
Advanced Techniques Advanced Techniques for String Manipulation in Python
Dividing Text with Precision: partition() and rpartition()
partition() Method
rpartition() Method
Aligning Text with expandtabs()
Dynamic Text Generation: format() and format_map()
format() Method
format_map() Method
Case-Insensitive Matching with casefold()
Cleaning Up Text with removeprefix() and removesuffix()
removeprefix() Method
removesuffix() Method
What is a Prefix?
What is a Suffix?
Final Thought:
Advanced String Techniques in Python: A Series of Exercises
Chapter 4: String Operations in Python
Why String Operations Matter in Python
Exploring f-strings: A Modern Approach to String Formatting
Why Use f-strings?
Mastering the Basics of f-strings with Examples
Example 1: Simple Variable Insertion
Example 2: Inserting Multiple Variables
Example 3: Including Expressions
Advanced f-string Usage: Expressions and Formatting
Example 1: Formatting a Floating Point Number
Example 2: Adding Commas to Large Numbers
Example 3: Percentage Formatting
Multiline f-strings: Formatting Across Multiple Lines
Example: Creating a Multiline Report
Comparing f-strings with Other String Formatting Methods
str.format() Method
% Formatting Method
The Bottom Line: Why f-strings are Superior
1. Simplicity
2. Clarity
3. Performance
4. Flexibility
The Impact of f-strings on Python Programming
Wrap-up: Embracing f-strings for a Better Coding Experience
Mastering String Formatting in Python: A Series of Exercises
Question 1: Displaying Distance Using f-Strings
Question 2: Summing Fruits with f-Strings
Question 3: Calculating Area of a Rectangle with f-Strings
Question 4: Personalized Welcome with str.format()
Question 5: Comparing Player Scores with f-Strings
Question 6: Calculating Savings with f-Strings
Question 7: Calculating Minutes in a Day with % Formatting
Question 8: Calculating Average Test Score with f-Strings
Question 9: Tracking Temperatures with f-Strings
Question 10: Shopping List with str.format()
Chapter 5: ASCII
ASCII: A Cornerstone of Modern Computing
ASCII Codes: The Language of Characters
ASCII: American Standard Code for Information Interchange
What Exactly is the ASCII Table?
ASCII in Python: Working with Character Codes
Example 1: Converting a Character to ASCII
Example 2: Converting Character to ASCII with ord()
Example 3: Converting ASCII to Character
ASCII Character Ranges and Categories
Extended ASCII and Unicode: Expanding the Character Set
Where ASCII is Used: Practical Applications
Wrapping Up: The Impact of ASCII on Modern Communication
Chapter 6: Understanding Basic Operators in Python
Overview of Essential Operators in Python
Arithmetic Operators The Core Calculators of Python
+ : Addition
- : Subtraction
* : Multiplication
/ : Division
// : Floor Division
% : Modulus
** : Exponentiation
Arithmetic Operators: The Building Blocks of Programming
Addition Operator (+)
1. Arithmetic Addition
Direct Arithmetic Example
2. String Concatenation
Combining Different Strings Dynamically
3. Type Consistency: Why Python Enforces It
Wrapping up
Subtraction Operator (-)
1. Arithmetic Subtraction
Subtracting Variables
2. Creating Negative Numbers
Negative Subtraction with Variables
3. Order Matters in Subtraction
4. Numeric Use Only
Additional Examples
Distance Calculation Example
Balance Calculation Example
Wrapping up
Multiplication Operator (*)
1. Arithmetic Multiplication
Multiplying Variables
2. String Repetition
Dynamic Repetition
3. Type Consistency
4. No Implicit Conversion
Additional Examples
Creating Patterns with String Repetition
Repeating Data in Lists
Wrapping up
Division Operator (/)
1. Arithmetic Division
Dividing Variables
2. Precision in Results
3. Zero Division Error
4. Numeric Use Only
Additional Examples
Calculating Averages
Converting Units
Wrapping up
Modulus Operator (%)
1. Remainder Calculation
Modulus with Variables
2. Even/Odd Check
Checking Odd Numbers
3. Repeat Sequence in Cycles
Cyclic Sequence with Larger Numbers
Additional Examples
Finding Multiples within a Range
Using Modulus in List Indexing
Wrapping up
Exponentiation Operator (**)
1. Power Calculation
Exponentiation with Variables
2. Order of Operations
Using Parentheses for Clarity
3. Supporting Negative Exponents
Negative Exponents with Variables
Additional Examples
Calculating Areas and Volumes
Exponential Growth Calculations
Wrapping up
Floor Division Operator (//)
1. Integer Result
Floor Division with Variables
2. Rounds Down
3. Numeric Use Only
Additional Examples
Calculating Group Sizes
Distributing Items Evenly
Wrapping up
Assignment Operators The Building Blocks of Dynamic and Efficient Code
Overview of Assignment Operators
Basic Assignment Operator (=)
Addition Assignment Operator (+=)
Subtraction Assignment Operator (-=)
Multiplication Assignment Operator (*=)
Division Assignment Operator (/=)
Exponentiation Assignment Operator (**=)
Summary of Assignment Operators
Wrapping Up: Real-Life Problem Solving with Python
Comparison Operators The Foundation of Conditional Logic
== : Equal To
!= : Not Equal To
> : Greater Than
< : Less Than
>= : Greater Than or Equal To

Citation preview

MASTERING PYTHON FOR ARTIFICIAL INTELLIGENCE

The Trilogy – Part I: The Essentials of Python Programming

By Dr. Muslum Yildiz Copyright © Muslum Yildiz, 2024 All rights reserved.

No part of this book may be reproduced, distributed, or transmitted in any form or by any means without the prior written permission of the author, except in the case of brief quotations embodied in reviews and certain other noncommercial uses permitted by copyright law.

To my one true love, my wife, and to my two precious daughters—thank you for being my greatest adventure, my constant joy, and my endless inspiration.

TABLE OF CONTENTS TABLE OF CONTENTS……………………………………………………… …………4 PREFACE………………………………………………………… ……………………….10 INTRODUCTION……………………………………………… ………………………. 12 CHAPTER 1 : ……………………………………………………………………… ……. 14 INTRODUCTION TO PYTHON                                                                      Coding and Programming Languages Why Python? A Closer Look at the Language of the Future Why Choose Python? Unlocking the Power of a Versatile Language Python Career Opportunities: Unlocking Lucrative Paths in Technology Python IDEs: Your Essential Tools for Efficient Development

A Quick Recap of Introduction to Python

CHAPTER 2 :…………………………………………………………………… ………. 33 FUNDAMENTALS OF PYTHON: BUILDING A STRONG FOUNDATION Understanding Syntax: The Grammar of Programming Mastering Quotation Marks in Python: Essential Syntax for Clear, Effective Code Mastering the Power of Comments in Python Understanding Variables: The Foundation of Programming Exploring Key Characteristics of Variables in Python Mastering the Art of Naming Variables in Python Exploring Python's Versatility: Data Types Understanding Data Types with the type Function A Quick Recap of Fundamentals of Python

CHAPTER 3 :…………………………………………………………………… ………. 64    ESSENTIAL STRING MANIPULATION TECHNIQUES IN PYTHON   Special Characters and Escape Sequences…………..……………………… 67

\: Escape sequences \n: Newline character \t: Tab character Combining \n and \t for Advanced Formatting Understanding Indentation in Python Mastering String Manipulation with Escape Characters in Python: A Series of Exercises Basic Operations…………..………………………………………… ……….……… 90

len(): Length of a string lower(), upper(): Case conversion capitalize(), title(), swapcase(): Capitalization strip(), lstrip(), rstrip(): Whitespace removal String Manipulation with Basic Operations in Python: A Series of Exercises Checking and Finding……………………………….………

………………….110 startswith(), endswith(): Prefix/Suffix check find(), rfind(), index(), rindex(): Substring search count(): Substring occurrences

Checking and Finding Strings in Python: A Series of Exercises Modification and Replacement…………………………………….………

….125 replace(): Substring replacement join(): Join elements split(), rsplit(), splitlines(): String splitting zfill(), center(), ljust(), rjust(): Padding and justification String Modification and Replacement Methods: A Series of Exercises Character Properties…………………………………………….…….…… … ….144

isalpha(), isdigit(), isalnum(), isspace(): Character checks islower(), isupper(), istitle(): Case checks isdecimal(), isascii(), isnumeric(), isprintable(): Special checks Character Property Methods in Python: A Series of Exercises Advanced Techniques…………….…….………

…………………………….169 partition(), rpartition(): String partitioning

expandtabs(): Tab expansion format(), format_map(): String formatting casefold(): Case insensitive matching removeprefix(), removesuffix(): Prefix/Suffix removal What is a Prefix and Suffix? Advanced String Techniques in Python: A Series of Exercises

CHAPTER 4 :…………………………………………………………………… ….…. 191    STRING OPERATIONS IN PYTHON Why String Operations Matter in Python Exploring f-strings: A Modern Approach to String Formatting Mastering the Basics of f-strings with Examples Multiline f-strings: Formatting Across Multiple Lines Comparing f-strings with Other String Formatting Methods Mastering String Formatting in Python: A Series of Exercises

CHAPTER 5 :……………………………………………………………………

…..….215    ASCII Exploring the World of ASCII in Computing ASCII: A Cornerstone of Modern Computing ASCII in Python: Working with Character Codes Extended ASCII and Unicode: Expanding the Character Set Review and Reinforce  / Solution Guide

CHAPTER 6 :………………………………………………………………….. …..….229 UNDERSTANDING BASIC OPERATORS IN PYTHON ARITHMETIC OPERATORS:

………….……………..………………….232    The Core Calculators of Python

+ : Addition - : Subtraction * : Multiplication / : Division % : Modulus ** : Exponentiation // : Floor Division Real-World Scenarios

ASSIGNMENT OPERATORS:

………………………………..………….289    The Building Blocks of Dynamic and Efficient Code

= : Basic Assignment += : Addition Assignment -= : Subtraction Assignment *= : Multiplication Assignment /= : Division Assignment **= : Exponentiation Assignment //= : Floor Division Assignment %= : Modulus Assignment Real-World Scenarios COMPARISON OPERATORS:

…………..………………………….….312    The Foundation of Conditional Logic

== : Equal To != : Not Equal To > : Greater Than < : Less Than >= : Greater Than or Equal To