Python is an interpretable general-purpose high-level programming language. The language features, design approach and method of implementation are all geared towards helping programmers write concise codes that adapt to both large-scale problems as well smaller ones.

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Python is dynamically-typed and garbage collected. It can be used with multiple programming paradigms, such as functional, object-oriented, and structured programming.


*As per a data from the average salary is $109,773 for a Python developer in the United States, and they receive an annual cash bonus of $5,000.

best Python Programming Books

Python is consistently rated in the list of most used programming languages.

Python was created in the latter part of the 1980s by Guido van Rossum as an alternative to the ABC programming language.

Python is intended to be a readable language that is easy to read. Its style is uncluttered visually and often makes use of English keywords in places where other languages employ punctuation.

I have been programming in Python for over 8 years now and have used it in a wide range of applications.

In this article, we’ll be looking at some books on Python that I have found to be among the best Python programming books. These books are simple to master even for novices, and with a little effort and perseverance you can take your Python capabilities to higher levels.

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List of 15 Best Python Programming Books for Beginners and Experienced

1. A Smarter Way to Learn Python

by Mark Myers

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A Smarter Way to Learn Python by Mark Myer

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A Smarter Way to Learn Python: Learn it faster. Remember it longer by Mark Myers — Mark Myers is a former lecturer at The Communications School of Boston University. He has an A.B. from Harvard. His primary focus is making use of simple words and interactive exercises to cut down on the time and boredom of learning.

The toughest aspect of programming is to acquire the ability to build and practice memory muscles. This Python book is simple to read and includes many exercises for practice. It will help you to consolidate your knowledge.

This book helps you get a grasp of Python from the man who has taught programming to grandmothers, musicians, taxi drivers and 50,000 more novices.

  1. Go through a 10-minute chapter in this book to grasp every concept.
  2. Learn to make the concepts stick. Do the chapter’s free interactive exercises at


I’ve searched all over the place for websites that are great but they take long to complete. I have also looked at books. Mark has discovered a way to offer something for all of us that know that practice is the key to improve. Don’t be afraid to practice.

I’m not yet done. Looking at the index, I am convinced that it will be an exhaustive analysis of Python and much more than what I’ve found in other sources.

It’s the ideal combination of experience and reading.

Learn it more quickly. Keep it in your mind for longer.

After reading this book, I’m able to claim that I have a better understanding about the language and fundamentals. Exercises online are excellent too.

Chaper 1 is on print
Chaper 2 talks about Variables for Strings
Chaper 3 covers Variables for Numbers
Chaper 4 talks about Math expressions: Familiar operators
Chaper 5 covers Variable Names Legal and Illegal
Chaper 6 talks about Math expressions: Unfamiliar operators
Chaper 7 covers Math expressions: Eliminating ambiguity
Chaper 8 talks aboutConcatenating text strings
Chaper 9 covers if statements
Chaper 10 covers Comparison operators
Chaper 11 covers else and elif statements
Chaper 12 talks aboutTesting sets of conditions
Chaper 13 covers if statements nested
Chaper 14 talks aboutComments
Chaper 15 talks aboutLists
Chaper 16 talks aboutLists: Adding and changing elements
Chaper 17 covers Lists: Taking slices out of them
Chaper 18 covers Lists: Deleting and removing elements
Chaper 19 covers Lists: popping elements
Chaper 20 talks aboutTuples
Chaper 21 covers loops
Chaper 22 is for loops nested
Chaper 23 talks aboutGetting information from the user and converting strings and numbers
Chaper 24 covers Changing case
Chaper 25 talks aboutDictionaries: What they are
Chaper 26 talks aboutDictionaries: How to code one
Chaper 27 covers Dictionaries: How to pick information out of them
Chaper 28 covers Dictionaries: The versatility of keys and values
Chaper 29 covers Dictionaries: Adding items
Chaper 30 talks aboutDictionaries: Removing and changing items
Chaper 31 talks aboutDictionaries: Loortg through values
Chaper 32 talks aboutDictionaries: Looping through keys
Chaper 33 talks aboutDictionaries: Looping through key-value pairs
Chaper 34 talks aboutCreating a list of dictionaries
Chaper 35 talks aboutHow to pick information out of a list of dictionaries
Chaper 36 talks aboutHow to append a new dictionary to a list of dictionaries
Chaper 37 covers Creating a dictionary that contains lists
Chaper 38 covers How to get information out of a list within a dictionary
Chaper 39 covers Creating a dictionary that contains a dictionary
Chaper 40 covers How to get information out of a dictionary within another dictionary
Chaper 41 covers Functions
Chaper 42 covers Functions: Passing them information
Chaper 43 covers Functions: Passing information to them a different way
Chaper 44 covers Functions: Assigning a default value to a parameter
Chaper 45 covers Functions: Mixing positional and keyword arguments
Chaper 46 covers Functions: Dealing with an unknown number of arguments
Chaper 47 covers Functions: Passing information back from them
Chaper 48 covers Using functions as variables (which is what they really are)
Chaper 49 covers Functions: Local vs. global variables
Chaper 50 talks aboutFunctions within functions
Chaper 51 talks aboutWhile loom
Chaper 52 talks aboutWhile loops: Setting a flag
Chaper 53 talks aboutClasses
Chaper 54 talks aboutClasses: Starting to build the structure
Chaper 55 talks aboutClasses: A bit of housekeeping 56: Classes: Creating an instance
Chaper 57 talks aboutClasses: A little more complexity
Chaper 58 covers Classes: Getting info out of instances
Chaper 59 covers Classes: Building functions into them
Chaper 60 covers Classes: Coding a method
Chaper 61 covers Classes: Changing an attribute’s value
Chaper 62 details Data files
Chaper 63 talks about Data files: Storing data
Chaper 64 is about Data files: Retrieving data
Chaper 65 is on Data files: Appending data
Chaper 66 is on Modules
Chaper 67 is about CSV files
Chaper 68 is on CSV files: Reading them
Chaper 69 is about CSV files: Picking information out of them
Chaper 70 is about CSV files: Loading information into them. Part 1
Chaper 71 is about CSV files: Loading information into them. Part 2
Chaper 72 is about CSV files: Loading information into them. Part 3
Chaper 73 is about CSV files: Appending rows to them.
Chaper 74 is about How to save a Python list or dictionary in a file: JSON
Chaper 75 details on How to retrieve a Python list or dictionary from a JSON file
Chaper 76 details on Planning for things to go wrong
Chaper 77 is aobut A more practical example of exception handling Guide to the appendices
Appendix A: An easy way to run Python
Appendix B: How to install Python on your computer
Appendix C: How to run Python in the terminal Appendix
D: How to create a Python program that you can save
Appendix E: How to run a saved Python program in the terminal

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2. Coding for Kids: Python

by Adrienne Tacke

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Coding for Kids: Python: Learn to Code with 50 Awesome Games and Activities by Adrienne Tacke

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Coding for Kids: Python: Learn to Code with 50 Awesome Games and Activities by Adrienne Tacke – Adrienne Tacke is a software engineer, author, and advocate for STEM education. Coding with Kids: Python is her first book.

Coding isn’t as difficult as it appears. You just need to start!

Coding with Kids: Python gets kids started right by providing them with 50 enjoyable and interactive activities that will teach students the fundamentals to the Python programming language.

This guide for beginners in Python for kids contains:

  • Games and activities for children aged 10 and up.
  • 50 innovative exercises that bring concepts of programming to life through games to create codes, drawing images with a pre-written module and much more.
  • Simple to follow guidance for new coders – guided through instructions including sample code and explanations of the latest programming terminology.
  • Engaging visual lessons – Colorful illustrations and screenshots that can be used as a reference to keep kids hooked.
  • Encourage children to think independently and enjoy discovering a brand-new skill by using this book for children.

Chapter 1 is on Welcome to Python!
Chapter 2 is about print(“Hello!”)
Chapter 3 is about Fun with Numbers
Chapter 4 is about Strings and Other Things
Chapter 5 is on Looking at Loops CHAPTER
Chapter 6 is about May the Turtle Be with You CHAPTER
Chapter 7 is about Reusable Code
Final Bits and Bytes
Answer Key

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3. Dancing with Python

by Robert S. Sutor

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Dancing with Python: Learn to code with Python and Quantum Computing by Robert S. Sutor

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Dancing with Python: Learn to code with Python and Quantum Computing by Robert S. Sutor — Robert S. Sutor has been an executive and technical leader in the IT industry for more than 35 years. He has spent more than two decades at IBM Research. While there, he worked on symbolic mathematical computation, optimization, blockchain, AI, and quantum computing.

Dancing with Python will help you master Python as well quantum computation in a way that is practical. It helps you understand the ways to use strings, numbers and collections, iterators and files.

The book extends beyond the basics of classes and functions and shows you how to utilize Python as well as Qiskit to design circuits and gates to enable quantum and classical computing.

This book will help you learn to:

  • Explore the different quantum gates, and design quantum circuits using Qiskit and Python
  • Write concise code using the Pythonic method using magical methods, iterators, as well as generators
  • Analyze data, construct fundamental machine-learning models and plot the outcomes
  • Test and optimize your code to ensure it runs efficiently

Chapter 1 is on Doing The Things That Coders Do
Chapter 2 is about Working with Expressions
Chapter 3 details Collecting Things Together
Chapter 4 is on Stringing You Along
Chapter 5 is about Computing and Calculating
Chapter 6 is about Defining and Using Functions
Chapter 7 talks about Organizing Objects into Classes
Chapter 8 talks about Working with Files
Chapter 9 talks about Understanding Gates and Circuits
Chapter 10 is about Optimizing and Testing Your Code
Chapter 11 is about Searching for the Quantum Improvement
Chapter 12 is about Searching and Changing Text
Chapter 13 is about Creating Plots and Charts
Chapter 14 details Analyzing Data
Chapter 15 is on Learning Briefly
Appendix A Tools
Appendix B. Staying Current
Appendix C The Complete UniPoly Class
Appendix D The Complete Guitar Class Hierarchy
Appendix E. Notices
Appendix F. Production Notes

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4. Learn More Python 3 the Hard Way

by Zed A. Shaw

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Learn More Python 3 the Hard Way
by Zed A. Shaw

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Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw’s Hard Way Series) by Zed A. Shaw – Zed Shaw is the writer of Learn Python 3 the Hard Way, Learn Python the Hard Way, Learn Ruby the Hard Way as well as Learn C the Hard Way. In addition, he is the author of numerous open source software projects. He has been writing and programming for more than 20 years.

This book teaches how you can:

  • Approach new issues in ways that can lead to more effective solutions
  • Examine a concept or idea to be able to apply it in code
  • Create an answer in response to your analysis
  • Learn to improve your programming skills by working on real-world projects
  • Implement your solution in the most straightforward method


The book focuses on providing the reader with a method to tackle larger projects in a systematic and thoughtful manner, as well as to keep track of their success and failures.

This is an excellent book. Follow the tips and go through the initial examples to strengthen your understanding of the language.

PART I Initial Knowledge
Exercise 0 is on The Setup
Exercise 1 is on On Process
Exercise 2 is on On Creativity
Exercise 3 is on On Quality
PART II Quick Hacks
Exercise 4 is on Dealing with Command Line Arguments
Exercise 5 is on cat
Exercise 6 is on find
Exercise 7 is on grep
Exercise 8 is on cut
Exercise 9 is on sed
Exercise 10 is on sort
Exercise 11 is on uniq
Exercise 12 is on Review
PART III Data Structures
Exercise 13 is on Single Linked Lists
Exercise 14 is on Double Linked Lists
Exercise 15 is on Stacks and Queues
Exercise 16 is on Bubble, Quick, and Merge Sort
Exercise 17 is on Dictionary
Exercise 18 is on Measuring Performance The Tools
Exercise 19 is on Improving Performance
Exercise 20 is on Binary Search Trees
Exercise 21 is on Binary Search
Exercise 22 is on Suffix Arrays
Exercise 23 is on Ternary Search Trees
Exercise 24 is on Fast URL Search
PART IV Intermediate Projects Tracking Your Defects
Exercise is on 25 xargs
Exercise 26 is on hexdump
Exercise 27 is on tr
Exercise 28 is on sh
Exercise 29 is on diff and patch
PART V Parsing Text
Exercise 31 is on Regular Expressions
Exercise 32 is on Scanners
Exercise 33 is on Parsers
Exercise 34 is on Analyzers
Exercise 35 is on Interpreters
Exercise 36 is on Simple Calculator
Exercise 37 is on Little BASIC
PART VT SQL and Object Relational Mapping
Exercise 38 is on Introduction to SQL
Exercise 39 is on Creating with SQL
Exercise 40 is on Reading with SQL
Exercise 41 is on Updating with SQL
Exercise 42 is on Deleting with SQL
Exercise 43 is on SQL Administration
Exercise 44 is on Using Python’s Database API
Exercise 45 is on Creating an ORM
PART VII Final Projects
Exercise 46 is on blog
Exercise 47 is on bc
Exercise 48 is on ed
Exercise 49 is on sed
Exercise 50 is on vi
Exercise 51 is on lessweb
Exercise 52 is onmoreweb

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5. Learn Python 3 the Hard Way

by Zed Shaw

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Learn Python 3 the Hard Way (Zed Shaw’s Hard Way Series) by Zed Shaw

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Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw’s Hard Way Series) by Zed Shaw — Zed Shaw is a passionate guitarist, programmer, and author whose books guide people from all over the world to create software. This book Learn Python the Hard Way has been used by millions of people across the globe.

With Learn Python the Hard Way, Third Edition, you’ll learn Python by doing 52 expertly designed exercises. Learn them. Enter the codes precisely. Fix your mistakes. Check out the program’s performance. You will discover how the software functions, what a good software looks like as well as how to read, write and think about code. And how to spot and correct your errors with the help of techniques used by professional programmers.


This book offers a solid way for novices to learn about the python programming language. It covers everything from the basics of string formatting to project testing and oop and structure.

Go through the book, complete the exercises, and within a couple of days, you’ll be able to know all you must be aware of about the most efficient programming language.

Exercise 0 The Setup
Exercise 1 A Good First Program
Exercise 2 Comment and Pound Characters
Exercise 3 Numbers and Math
Exercise 4 Variables and Names
Exercise 5 More Variables and Printing
Exercise 6 Strings and Text
Exercise 7 More Printing
Exercise 8 Printing, Printing
Exercise 9 Printing, Printing, Printing
Exercise 10 What Was That?
Exercise 11 Asking Questions
Exercise 12 Prompting People
Exercise13 Parameters, Unpacking, Variables
Exercise 14 Prompting and Passing
Exercise 15 Reading Files
Exercise 16 Reading and Writing Files
Exercise 17 More Files
Exercise 18 Names, Variables, Code Functions
Exercise 19 Functions and Variables
Exercise 20 Functions and Files
Exercise 21 Functions Can Return Someting
Exercise 22 What Do You Know So Far?
Exercise 23 Read Some Code
Exercise 24 More Practice
Exercise 25 Even More Practice
Exercise 26 Congratulations. Take a Test!
Exercise 27 Memorizing Logic
Exercise 28 Boolean Practice
Exercise 29 What If

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6. Learn Python in One Day and Learn It Well

By Jamie Chan

Learn Python in One Day and Learn It Well: Python for Beginners with Hands-on Project by Jamie Chan

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Learn Python in One Day and Learn It Well (2nd Edition): Python for Beginners with Hands-on Project by Jamie Chan — The topics are carefully chosen to provide a wide understanding of Python without overwhelming the reader with too much information. These topics cover objects-oriented programming concepts and techniques for handling errors methods for handling files and much more.

The most effective way to master Python is to practice. The book contains a comprehensive project at the end of the book which involves the application of the concepts learned before. The process will not only provide you with the feeling of accomplishment, it’ll also help you to retain the knowledge and learn the language.


Python is a powerful language. The book is clear enough to be comprehended.

Chapter 1 is on Python, what Python?
Chapter 2 is on Getting ready for Python
Chapter 3 is on The World of Variables and Operators
Chapter 4 is on Data Types in Python
Chapter 5 is about Making Your Program Interactive
Chapter 6 is about Making Choices and Decisions
Chapter 7 is about Functions and Modules
Chapter 8 is about Working with Files
Chapter 9 talks about Object Oriented Programming Part 1
Chapter 10 is on Object Oriented Programming Part 2
Project: Math and Binary

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7. Learn Python Quickly

by Code Quickly

Learn Python Quickly: A Complete Beginner’s Guide to Learning Python, Even If You’re New to Programming by Code Quickly

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Learn Python Quickly: A Complete Beginner’s Guide to Learning Python, Even If You’re New to Programming by Code Quickly — This book makes learning Python easy, fast and simple and eliminates the anxiety associated with learning the language. When you’re learning a new language, it’s easy to get overwhelmed and not know where to begin or what to concentrate on. It’s possible to spend a lot of time searching for tutorials on the internet, only to discover that you’re not able to grasp all the concepts taught.

This won’t be an issue with this book! The book is an easy step-by-step guide that walks you through all you should learn about Python in a simple-to-follow manner. It will help you master the fundamentals of Python as well as some most advanced Python concepts, helping you go from novice to intermediate Python programmers.


This book presents a clear and concise methods of understanding Python. It gives easy explanations of code, as well as breaks it into simple to comprehend steps.

A portion of the introduction material is extremely basic for advanced programmers, and you can skip these sections.

Chapter 1 starts with Introduction to Python
Chapter 2 is about Variables and Operators
Chapter 3 is on Data Types
Chapter 4 is about Data Structures
Chapter 5 is about Inputs, Printing, and Formatting Outputs
Chapter 6 details Conditional Statements and Control Flow Statements
Chapter 7 is about Functions and Modules
Chapter 8 is on Object-Oriented Programming Part 1 – Classes and Instances
Chapter 9 is on Object-Oriented Programming Part 2 – Inheritance, Child Classes, and Special Methods
Chapter 10 is on Files
Chapter 11 is about Intermediate and Advanced Concepts
Chapter 12 is on Projects

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9. Learn Quantum Computing with Python and IBM Quantum Experience

by Robert Loredo

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Learn Quantum Computing with Python and IBM Quantum Experience by Robert Robert Loredo

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Learn Quantum Computing with Python and IBM Quantum Experience by Robert Robert Loredo — Loredo is the IBM Quantum Global Technical Ambassador with more than 20 years of experience in the field of software engineering and architecture. He has a bachelor’s degree and master’s degree in the field of Computer and Electrical Engineering from the University of Miami.

This book is designed for Python developers looking to understand quantum computing. They can put this understanding to practical use using IBM Quantum Experience. A background in high school-level physics and computer science and math are required.

IBM Quantum Experience is a platform that lets developers understand the fundamentals of quantum computing. This is done by allowing them to test their theories on quantum computing simulator and an actual quantum computer. This book will provide fundamental principles that underlie quantum mechanics, the fundamentals of quantum computing and the application of quantum algorithms as well as experiments using IBM’s quantum processing.


This book covers excellent explanations and excellent examples that work using simulator, as well as on the various quantum computers that are in use in many nations.

Chapter 1 is The Dashboard-Exploring the IBM Quantum Experience
Chapter 2 is on Circuit Composer – Creating a Quantum Circuit
Chapter 3 is regarding Creating Quantum Circuits using Quantum Lab Notebooks
Chapter 4 is about Understanding Basic Quantum Computing Principles
Chapter 5 is on Understanding the Quantum Bits (Qubit)
Chapter 6 is about Understanding Quantum Logic Gates
Chapter 7 details Introducing Qiskit and its Elements
Chapter 8 talks about Programming with Qiskit Terra
Chapter 9 mentions Monitoring and Optimizing Quantum Circuits
Chapter 10 is on Executing Circuits Using Qiskit Aer
Chapter 11 is about Mitigating Quantum Errors Using Ignis
Chapter 12 is on Learning about Qiskit Aqua
Chapter 13 details Understanding Quantum Algorithms
Chapter 14 is on Applying Quantum Algorithms

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10. Learn to Code by Solving Problems

by Dr. Daniel Zingaro

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Learn to Code by Solving Problems: A Python Programming Primer by Dr. Daniel Zingaro

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Learn to Code by Solving Problems: A Python Programming Primer by Dr. Daniel Zingaro — Dr. Daniel Zingaro is an award-winning Associate Professor in Computer Science at the University of Toronto Mississauga, and is internationally recognized for his knowledge in Active Learning. This guide for beginners will help you write Python programs in no time. You’ll be able to solve intriguing problems in coding and improve your skills in programming as you move along.

Each chapter is filled with challenges that are derived from websites for coding challenges, which allow online judges to test your answers and give you specific feedback.

This book will show readers how you can:

  • Use Python code and work with strings and work with variables
  • Write software programs to take decisions
  • Improve the efficiency of code using for and while loops
  • Design software using the functions of top-down and bottom-up design
  • Make use of Python sets, lists, and dictionaries to arrange sort, search, and sort data
  • Develop complete-search algorithms and employ Big O notation to design more efficient code.


This is an excellent book to learn to code. The explanations and exercises are straightforward, and you’ll be guided step-by-step through the examples in a simple and easy-to-understand manner that is a great way to prepare for the exercises at the end of each chapter.

Chapter 1 is on Getting Started
Chapter 2 is about Making Decisions
Chapter 3 is on Repeating Code: Definite Loops
Chapter 4 is about Repeating Code: Indefinite Loops
Chapter 5 is on Organizing Values Using Lists
Chapter 6 is regarding Designing Programs with Functions
Chapter 7 talks about Reading and Writing Files
Chapter 8 is about Organizing Values Using Sets and Dictionaries
Chapter 9 is about Designing Algorithms with Complete Search
Chapter 10 talks about Big O and Program Efficiency

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11. Learn to Program with Minecraft

by Craig Richardson

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Learn to Program with Minecraft by Craig Richardson

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Learn to Program with Minecraft: Transform Your World with the Power of Python by Craig Richardson — Craig Richardson is a software developer and Python educator. He’s worked with the Raspberry Pi Foundation, taught high school computing classes and conducted numerous sessions on Python programming in conjunction with Minecraft.

This book on Learn to Program with Minecraft will allow you to begin with a few short, easy Python lessons, and then apply the new skills you have acquired to customize Minecraft to give amazing results in a matter of minutes. This book will help you become knowledgeable of how to modify Minecraft to create mini-games, duplicate whole structures, and transform dull blocks into gold.


This is a great and simple book that provides plenty of exercises for beginners who want to master Python quickly.

This book is a great read for anyone who is just starting out with Python. The color illustrations were precise and explained exactly what would happen next. I would recommend this book to anyone who wants to know how to utilize Python and has interest in Minecraft.

Chapter 1 starts with Setting Up for Your Adventure
Chapter 2 is on Teleporting with Variables
Chapter 3 is on Building Quickly and Traveling Far with Math
Chapter 4 is regarding Chatting with Strings
Chapter 5 is on Figuring Out What’s True and False with Booleans
Chapter 6 is about Masking Mini-Games with if Statements
Chapter 7 talks about Dance parties and Flower Parades with while Loops
Chapter 8 is regarding Functions Give You Superpowers
Chapter 9 talks about Hitting Things with Lists and Dictionaries
Chapter 10 focuses on Minecraft Magic with for Loops
Chapter 11 talks about Saving and Loading Buildings with Files and Modules
Chapter 12 details Getting Classy with Object-Oriented Programming

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12. Python Object-Oriented Programming

by Steven F. Lott, Dusty Phillips

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Python Object-Oriented Programming by Steven F. Lott, Dusty Phillips

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Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries by Steven F. Lott, Dusty Phillips — Steven F. Lott has been programming since the 1970s, which was the time when computers were big, expensive and scarce. He’s used Python to solve business-related problems for over 20 years.

Dusty Phillips is a Canadian software developer and author who is currently living within New Brunswick. He has been writing programs in Python for over two years. He has a master’s degree in computer science. He has worked for Facebook and the United Nations, and several startups.

Python Object-Oriented Programming, explores the different features that comprise OOP, Python as an OOP language, the most common as well as advanced designs patterns as well as hands-on data manipulation as well as testing more sophisticated OOP systems.

The concepts are reinforced with open-ended activities, along with a practical scenario study that is included at the conclusion of each chapter. The chapters have been rewritten and created to be used in this version.

All code samples are fully compatible with Python 3.9+ syntax, and has been updated with type-specific hints to ensure ease of learning.

When you finish the book, you’ll be able to comprehend how to consider and apply the principles of object-oriented programming by using Python syntax. You will also be able to create robust and reliable applications.


The book has helped me to learn great tips and tricks on how to write great tests. It also contains very informative sections on Design and Concurrency Patterns which you’ll appreciate much.

Chapter 1 is on Object-Oriented Design
Chapter 2 talks about Objects in Python
Chapter 3 talks about When Objects Are Alike
Chapter 4 is on Expecting the Unexpected
Chapter 5 talks about When to Use Object-Oriented Programming
Chapter 6 details Abstract Base Classes and Operator Overloading
Chapter 7 is on Python Data Structures
Chapter 8 details The Intersection of Object-Oriented and Functional Programming
Chapter 9 is on Strings, Serialization, and File Paths
Chapter 10 talks about The Iterator Pattern
Chapter 11 talks about Common Design Patterns
Chapter 12 is on Advanced Design Patterns
Chapter 13 talks about Testing Object-Oriented Programs
Chapter 14 is on Concurrency

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13. Python Machine Learning

by Sebastian Raschka, Vahid Mirjalili

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 by Sebastian Raschka, Vahid Mirjalili

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition by Sebastian Raschka, Vahid Mirjalili — Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on deep learning and machine learning research. His recent research techniques have been applied to solve various problems in biometrics. Vahid Mirjalili earned the Ph.D. in mechanical engineering, researching new techniques for large-scale, computer-based models of molecules.

Python Machine Learning is a complete guide to deep learning and machine learning using Python. It can be used as an easy-to-follow tutorial, as well as an information source that you’ll keep coming back to while building machines learning platforms.

This book is your guide to machine learning in Python regardless of whether you’re an experienced Python developer who is new to machine learning or looking to improve your knowledge of the most recent developments.


The most important thing I can suggest is that it teaches the reader with just enough information for you to comprehend how everything functions. Furthermore, the chapters are well-organized to make the journey through this book effortless and easy to learn. The book doesn’t let you be bored at any given moment.

In addition to the high quality of the printing, the content material is fantastic. It is possible to read the lesson to gain the most comprehensive understanding of how to use Python.

Chapter 1 is on Giving Computers the Ability to Learn from Data
Chapter 2 is about Training Simple ML Algorithms for Classification
Chapter 3 is on ML Classifiers Using scikit-learn
Chapter 4 is about Building Good Training Datasets – Data Preprocessing
Chapter 5 is about Compressing Data via Dimensionality Reduction
Chapter 6 is about Best Practices for Model Evaluation and Hyperparameter Tuning
Chapter 7 is about Combining Different Models for Ensemble Learning
Chapter 8 is on Applying ML to Sentiment Analysis
Chapter 9 talks about Embedding a ML Model into a Web Application
Chapter 10 is on Predicting Continuous Target Variables with Regression Analysis
Chapter 11 is on Working with Unlabeled Data – Clustering Analysis
Chapter 12 is on Implementing Multilayer Artificial Neural Networks
Chapter 13 is on Parallelizing Neural Network Training with TensorFlow
Chapter 14 is on TensorFlow Mechanics
Chapter 15 is on Classifying Images with Deep Convolutional Neural Networks
Chapter 16 is about Modeling Sequential Data Using Recurrent Neural Networks
Chapter 17 is about GANs for Synthesizing New Data
Chapter 18 is about RL for Decision Making in Complex Environments

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14. Python Programming: A Beginner’s Guide to Learn Python in 7 Days

by Ramsey Hamilton

Python Programming: A Beginner’s Guide to Learn Python in 7 Days by Ramsey Hamilton

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Python Programming: A Beginner’s Guide to Learn Python in 7 Days by Ramsey Hamilton — Are you looking to master Python?

Start by learning the basics in seven days. This will allow you to feel confident at moving onto the next level with no difficulty.

Python is the simplest language to master and, once you’ve got gained a solid foundation in it, you are able to proceed to a more complex language. Python is utilized by all different group of people: data scientists make use of it for the majority of their number crunching as well as analytics; security testers employ it to test security and IT attacks.

It is utilized to build websites that are of high-quality and some of the most popular applications used on the web are written in Python such as YouTube, DropBox, and Instagram.


I wouldn’t recommend this book to a complete beginner. However, if you are familiar using Python then you can opt for this book. It will help you remember the Python concepts. Take note of the errors within the text. Enjoy reading!

Chapter 1 is on Setting Up Your Environment
Chapter 2 is titled Let’s Get Programming
Chapter 3 is on Variables and Programs in Files
Chapter 4 talks about Loops, Loops and More Loops
Chapter 5 is on Functions
Chapter 6 is about Dictionaries, Lists and Tuples
Chapter 7 is regarding The “for” Loop
Chapter 8 is on Classes
Chapter 9 talks about Modules
Chapter 10 is on File Input/Output
Chapter 11 details Error Handling

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15. Python Workbook

by Jamie Chan

Python Workbook: Learn Python in one day and Learn It Well by Jamie Chan

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Python Workbook: Learn Python in one day and Learn It Well (Workbook with Questions, Solutions and Projects) (Learn Coding Fast Workbook) by Jamie Chan — The aim of this workbook is to help you understand the various concepts so that novice programmers are able to gradually master the basic concepts of programming prior to working on larger projects by the end of this book.

Each question in this book is designed to help to build your programming skills gradually by using just only one or two concepts at a given time and increasing the difficulty as we go into the sections.


There are a lot of practice questions with answers for each chapter. It is possible to gain an understanding of the theories by working over these exercise.

Certain of the analogies described in the book may be confusing to you. Prepare yourself to put in the effort and keep reference of a few good guides while you work on these exercises.

Chapter 1 covers Introduction
Chapter 2 is on Getting Ready for Python
Chapter 3 is on The World of Variables and Operators
Chapter 4 is on Data Types in Python
Chapter 5 is on Making Your Program Interactive
Chapter 6 is about Making Choices and Decisions
Chapter 7 is about Functions and Modules
Chapter 8 is on Working with Files
Chapter 9 is about Object Oriented Programming Part 1
Chapter 10 is about Object Oriented Programming Part 2

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Python Version Timeline & History

Python began its development in the latter half of the 1980s.

The development of Python was first introduced in the month of December 1989, by Guido Van Rossum at CWI in Netherland.

The code was published in February of 1991. Guido Van Rossum published the source code (labeled Version 0.9.0) in alt.sources.

It was 1994 when Python 1.0 was released with features such as lambda map, filter and reduce.

Python 2.0 included new features like list comprehensions and garbage collection systems.

Python was created in the latter part of the 1980s by Guido van Rossum as an alternative to the ABC programming language.

You can get a bird’s eye view of the Python’s Version Timeline from this Python infographic.

Python Version Timeline and History
Python Version Timeline and History


What is Python?

Python is a programming language that can be used to build different types of applications. It was created in the late 1980’s by Guido van Rossum, but has seen a surge in usage recently with the rise in machine learning and artificial intelligence applications. Python is an interpreted, object-oriented programming language which uses modules, classes, and exceptions to simplify developing software.

What are the benefits of using Python?

Python is one of the newest languages on the market, but has already seen a large increase in popularity. It’s possible to code using Python for a variety of different fields including web development, data analysis, and machine learning. Python is generally considered to be a very easy language to learn due to its intuitive syntax and lack of the need for semicolons. The language is also compatible with many other programming languages thanks to its ability to import modules for use in larger programs.

What is a program?

A program is a set of instructions that tell a computer what to do. Programs are written in programming languages such as Pascal, Python, and Java. A program can be used to modify software or hardware, automate tasks, and perform calculations.

They come in many different types and can be used for many different things. Some examples of programs include: modifying software or hardware, automating tasks, and performing calculations.

What is the difference between Python and Java?

Python and Java are two programming languages that are used for creating computer programs. Python is an interpreted language, meaning that it does not need to be compiled before executing the program written in the language. Java is a compiled language, meaning that there must be a compiler to compile the written code in order to execute it.

What are some popular Python packages?

The Python programming language is one of the most popular languages for data science and machine learning. Python has become the go-to language for many programmers because it’s so versatile for both individual work and collaborative projects. The following are some of the most popular python packages among programmers: Tensorflow, SciPy, PyTorch, NumPy, Scipy, Pandas.

How do I learn Python?

One of the best ways to learn Python is by doing small exercises. These exercises are designed to teach you how to use specific Python functions in a practical way. There are many other ways that you can learn Python, but this is one of the quickest ways.

What are the prerequisites for learning Python?

Python is a popular programming language that has become an increasingly valuable skill in the modern workforce. It is a versatile language that can be used to create scripts, add functionality to existing applications, and much more. To get started with Python, you should have some basic knowledge about programming languages and know how to use a text editor.

Resources to Learn Python for Free

Python is a programming language popular in scientific and engineering fields for its clean, readable syntax and remarkable versatility. It’s also a favorite in the field of data science thanks to its vast array of data analysis and visualization libraries. The best thing about Python is that it’s completely free to use and download. There are many resources available on the web for learning more about Python including tutorials, interactive tutorials, Q&A forums, and more.

Here, are three YouTube videos that you can use to learn Python for free. You can keep on visiting this section to find more free resources available online to learn Python Programming.

Python Tutorial – Python for Beginners [Full Course]
Learn Python – Full Course for Beginners [Tutorial]
Python Full Course – Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka


In conclusion, Python programming is a great way to break into the tech industry. Learning Python programming will not only open doors for you, but it will also make your resume look great.

This article details some of my favorite books on Python that I highly recommend to anyone who wants to learn the language.

You can visit to learn more about Python.

Buy one of the best books on Python programming and start learning today!

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