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- Best Book To Learn Python From Scratch
- Best Book To Learn Python 3
- Best Book To Learn Python Reddit
- What Is The Best Book To Learn Python
- Best Book To Learn Python For Data Science
Are you looking for best Python books?
But why we should learn programming? Why we choose python for coding?
The programming world is expanding very fast every year and there are a lot of programming languages to learn and explore. But Python has emerged as the topmost programming language in 2020-21.
If you want to learn Python with a child, or maybe teach a group of kids, check out the list of best Python books for kids. After you've got your feet wet, check out some of the best intermediate and advanced Python books to dig in deeper to less obvious concepts that will improve the efficiency of your code. If you want to learn Python with a child, or maybe teach a group of kids, check out the list of best Python books for kids. After you've got your feet wet, check out some of the best intermediate and advanced Python books to dig in deeper to less obvious concepts that will improve the efficiency of your code.
Python is the best language for data scientists, statisticians, machine learners, and web enthusiasts. Since the Internet and market are flooded with learning material of python, it is difficult to find the legit and the best one.
However, you may be concerned that ' Python books are sufficient to learn to program?' Then, I would like to remind you that the great Entrepreneur, Elon Musk has learned Rocket Science only by reading books, without any degree in Rocket Science.
So, If you are passionate to learn python coding, then it is best to start learning with books. But which book is best for python programming.
Don't worry! we have solved your dilemma and we have listed the best python books for beginners and advanced.
Best Python books for Beginners:
1. Python Crash Course (2nd Edition): A Hands-On, Project-Based Introduction to Programming
Python Crash Course 2nd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Matthes is the world's best-selling guide to Python language. Tomcat 7 ssl configuration steps. This book will give you comprehensive knowledge about the basics of python fundamentals.
This 544 pages book has two division, the first division of the book focus on teaching basic programming fundamentals, like variables, lists, dictionaries, classes, and loops, and practice problems coding interactive programs.
The second half deals with projects related to web development, data visualization with handy Python libraries like Matplotlib, 2-D game development
Python crash course has different projects like Alien Invasion type arcade game, developed using the Pygame package, web application using Django, Data visualization project, etc.
This is the best book to learn programming of python for beginner.
Key Features:
- Use of powerful Python libraries and tools which includes Pygame, Matplotlib, Plotly, and Django
- Develop Interactive 2D games that respond to keypresses and mouse clicks.
- Learn to use data to generate interactive visualizations
- Create and customize web applications and deploy them safely on the Internet
Author: Eric Matthes
Rating: 4.5
Difficulty level: Beginner
2. Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners
This book by Al Sweigart is one of the best International selling Python books for learning Python 3.This is a perfect book for the beginner that can teach even the technically uninclined person how to write programs in minutes which would take hours to do by hand.
There is no prior programming experience and knowledge required for this book. and The book is the main attraction for liberal arts majors and geeks alike programmers. This 2nd edition includes brand new chapters on input validation and tutorials on automating Gmail and Google Sheets, with additional tips on automatically updating CSV files.
In this 2nd edition of this book, You will learn the basic Python fundamentals and explore Python's rich library of modules for performing specific tasks, like scraping off the web site's data, reading PDF files and Word documents, and automating clicking and typing tasks.
Key features :
- Create a program for searching for text in a file or across multiple files
- Learn how to create, update, move, and rename files and folders
- Learn to search the Web and download online content
- Explore program to update and format data in Excel spreadsheets of any size
- Learn about the split, merge, watermark, and encrypt PDFs
- Learn automation to send email responses and text notifications
Author: Al Sweigart
Rating: 4.5
Difficulty level: Beginner
3. Head-First Python: A Brain-Friendly Guide
Head- First Python book, Paul Barry is the best book to learn python quickly and easily, as its content is very user-friendly and easy to understand. This book uses a visually rich format to engage readers' minds, rather than a heavy text approach that puts the reader to sleep.
The book provides you a brief knowledge about the fundamentals of Python programming and working with built-in functions and data structures. The book then moves forward to building a web application, exception handling, data wrangling, and other concepts.
This book has awesome Hands-on coding exercises working with topics that include databases and HTML, hence, this a highly practical book. With this book, anyone can learn Python programming in days or few weeks.
Key Features :
- Easy to read and understand book
- Learn modules, errors, and file handling
- Build a dynamic website for a school athletic coach using Python through a Common Gateway Interface (CGI)
- Learn how to use an Android application to interact with the website
- Learn to handle user input, wrangle data, and scaling Python applications on the web.
Author: Paul Barry
Rating: 4.5
Difficulty level: Beginner
4. Learning Python, 5th edition
Learning Python written by Mark Lutz is a comprehensive book with an in-depth introduction to the core fundamentals of the Python language. In this book, the reader will explore Python's major built-in data types, such as numbers, lists, and dictionaries.
This book will teach readers about code redundancy, organize statements. The book also makes an introduction to OOPs concepts in Python by diving into classes.
The latest version of the book encourages you to write efficient, high-quality code. The book is perfect for someone who wants to learn and excel in Python; from beginners to professional developers.
Key Feature:
- Create and process objects with Python statements, and learn Python's general syntax model
- Learn organization of statements, functions, and other tools into larger components with modules
- Write large programs with Python's exception-handling model and development tools
- Explore advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
- Practice Python programming through quizzes and exercises.
Author: Mark Lutz
Rating: 4.5
Difficulty level: Beginner
5. Python programming: An Introduction to Computer Science
Python Programming: An Introduction to Computer Science by John M Zelle Introduces you to the basic computer science concepts as simply as possible without coming across as simplistic.
This book has the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teach introductory computer science.
This one the best python books for beginners to learn coding in python.
Key Feature:
- The book teaches how computers work
- Learn hardware basics
- Explore data structures, and object-oriented programming
Author: John M Zelle
Rating: 4.5
Difficulty level: Beginner
6. Learn Python the Hard Way
Learn Python the Hard Way, by Shaw Zed A., is the world's best systematic book for learning Python. This python book is a collection of 52 incredibly crafted exercises.
This book is perfect for total beginners who never coded anything before, junior developers, and other experienced professionals who need to brush by their skills. This book does not require any prior knowledge of coding to learn python.
This book accompanies by an additional DVD that contains 5+ hours of informative and powerful teaching: a complete Python video course by Zed A.
Key Feature:
- Learn to Install a complete Python environment
- Organizing and writing code
- Learn about variables, strings, and text
- Explore Interacting with users
- Understanding working with files, looping, and logic
- Data structures using lists and dictionaries
- Learn Program designing, Object-oriented programming, and Inheritance and composition
- Learn Basic game development and web development
Author: Shaw Zed A.
Rating: 4.0
Difficulty level: Beginner
7. Think Python: How to Think Like a Computer Scientist, 2nd edition
Think Python, by Allen B. Downey, is the best python book for beginners and newbies. Think Python is a very straightforward, clear, and comprehensive book which introduces you to the basic fundamental of Python.
This book moves from data types, operators, and the major differences between Python2 and Python3. Then this book dives into some advanced areas like operator overloading, polymorphism, mutability vs immutability, and analysis of algorithms.
Key Feature:
- Teaches from basics to advanced
- Learn about functions, recursion, data structures, and object-oriented design.
- Create four awesome projects
Author: Allen B. Downey
Rating: 4.5
Difficulty level: Intermediate
Best Python Books for advanced Programmers
8. Introduction to Machine Learning with Python: A Guide for Data Scientists
Many Python developers are curious about Machine Learning as many commercial applications and projects have employed machine learning as an integral ingredient, and its demand in the market is increasing very rapidly over the past few years.
This book is perfect for those curious programmers in order to learn Machine Learning. This book teaches readers machine learning's basic concepts and algorithms.
This book will teach how to write your code, use graph algorithms, and application of algorithms to data compression problems.
Best Book To Learn Python From Scratch
This book covers a Machine learning workflow: data preprocessing and working with data, training algorithms, solution evaluation, and implementation of algorithms into a production-level system.
Key Feature:
- Introduction to Basic fundamentals of Machine Learning
- Learn Machine learning workflow
- Learn using Python and sci-kit-learn library.
Author: Sarah Guido and Andreas C. Muller
Rating: 4.5
Difficulty level: Advanced
9. Fluent Python: Clear, Concise, and Effective Programming
Author: Al Sweigart
Rating: 4.5
Difficulty level: Beginner
3. Head-First Python: A Brain-Friendly Guide
Head- First Python book, Paul Barry is the best book to learn python quickly and easily, as its content is very user-friendly and easy to understand. This book uses a visually rich format to engage readers' minds, rather than a heavy text approach that puts the reader to sleep.
The book provides you a brief knowledge about the fundamentals of Python programming and working with built-in functions and data structures. The book then moves forward to building a web application, exception handling, data wrangling, and other concepts.
This book has awesome Hands-on coding exercises working with topics that include databases and HTML, hence, this a highly practical book. With this book, anyone can learn Python programming in days or few weeks.
Key Features :
- Easy to read and understand book
- Learn modules, errors, and file handling
- Build a dynamic website for a school athletic coach using Python through a Common Gateway Interface (CGI)
- Learn how to use an Android application to interact with the website
- Learn to handle user input, wrangle data, and scaling Python applications on the web.
Author: Paul Barry
Rating: 4.5
Difficulty level: Beginner
4. Learning Python, 5th edition
Learning Python written by Mark Lutz is a comprehensive book with an in-depth introduction to the core fundamentals of the Python language. In this book, the reader will explore Python's major built-in data types, such as numbers, lists, and dictionaries.
This book will teach readers about code redundancy, organize statements. The book also makes an introduction to OOPs concepts in Python by diving into classes.
The latest version of the book encourages you to write efficient, high-quality code. The book is perfect for someone who wants to learn and excel in Python; from beginners to professional developers.
Key Feature:
- Create and process objects with Python statements, and learn Python's general syntax model
- Learn organization of statements, functions, and other tools into larger components with modules
- Write large programs with Python's exception-handling model and development tools
- Explore advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
- Practice Python programming through quizzes and exercises.
Author: Mark Lutz
Rating: 4.5
Difficulty level: Beginner
5. Python programming: An Introduction to Computer Science
Python Programming: An Introduction to Computer Science by John M Zelle Introduces you to the basic computer science concepts as simply as possible without coming across as simplistic.
This book has the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teach introductory computer science.
This one the best python books for beginners to learn coding in python.
Key Feature:
- The book teaches how computers work
- Learn hardware basics
- Explore data structures, and object-oriented programming
Author: John M Zelle
Rating: 4.5
Difficulty level: Beginner
6. Learn Python the Hard Way
Learn Python the Hard Way, by Shaw Zed A., is the world's best systematic book for learning Python. This python book is a collection of 52 incredibly crafted exercises.
This book is perfect for total beginners who never coded anything before, junior developers, and other experienced professionals who need to brush by their skills. This book does not require any prior knowledge of coding to learn python.
This book accompanies by an additional DVD that contains 5+ hours of informative and powerful teaching: a complete Python video course by Zed A.
Key Feature:
- Learn to Install a complete Python environment
- Organizing and writing code
- Learn about variables, strings, and text
- Explore Interacting with users
- Understanding working with files, looping, and logic
- Data structures using lists and dictionaries
- Learn Program designing, Object-oriented programming, and Inheritance and composition
- Learn Basic game development and web development
Author: Shaw Zed A.
Rating: 4.0
Difficulty level: Beginner
7. Think Python: How to Think Like a Computer Scientist, 2nd edition
Think Python, by Allen B. Downey, is the best python book for beginners and newbies. Think Python is a very straightforward, clear, and comprehensive book which introduces you to the basic fundamental of Python.
This book moves from data types, operators, and the major differences between Python2 and Python3. Then this book dives into some advanced areas like operator overloading, polymorphism, mutability vs immutability, and analysis of algorithms.
Key Feature:
- Teaches from basics to advanced
- Learn about functions, recursion, data structures, and object-oriented design.
- Create four awesome projects
Author: Allen B. Downey
Rating: 4.5
Difficulty level: Intermediate
Best Python Books for advanced Programmers
8. Introduction to Machine Learning with Python: A Guide for Data Scientists
Many Python developers are curious about Machine Learning as many commercial applications and projects have employed machine learning as an integral ingredient, and its demand in the market is increasing very rapidly over the past few years.
This book is perfect for those curious programmers in order to learn Machine Learning. This book teaches readers machine learning's basic concepts and algorithms.
This book will teach how to write your code, use graph algorithms, and application of algorithms to data compression problems.
Best Book To Learn Python From Scratch
This book covers a Machine learning workflow: data preprocessing and working with data, training algorithms, solution evaluation, and implementation of algorithms into a production-level system.
Key Feature:
- Introduction to Basic fundamentals of Machine Learning
- Learn Machine learning workflow
- Learn using Python and sci-kit-learn library.
Author: Sarah Guido and Andreas C. Muller
Rating: 4.5
Difficulty level: Advanced
9. Fluent Python: Clear, Concise, and Effective Programming
Fluent Python by Luciano Ramalho, introduces readers to Python's core language features and libraries, and shows you how to make your code shorter, faster, and increase readability at the same time.
This book teaches you both Python2 and Python3 and shows you the diverse features of these versions. Additionally, It provides an applied introduction to the vastly growing field of machine learning along with topics like k-Means Clustering and Naive Bayes Classifiers.
Key Feature:
- Python data model: Learn how special methods are the key to the consistent behavior of objects in python
- Data structures: Learn the full advantage of built-in types, and understand the text vs bytes duality in the Unicode age
- Object-oriented idioms: Learn about references, mutability, interfaces, operator overloading, and multiple inheritances, and how to build classes.
- Control flow leverage context managers, generators, coroutines, and concurrency with the concurrent, futures, and asyncio packages
- Metaprogramming: Learn how properties, attribute descriptors, class decorators, and working of metaclasses.
Author: Luciano Ramalho
Rating: 4.5
Difficulty level: Advanced
10. Python Cookbook: Recipes for Mastering Python 3
This Book is one of the most Comprehensive volume Python Cookbook filled with practical recipes of wonderful programs in Python 3.This book is perfect for experienced Python programmer who wants to learn modern tools and idioms for Python development.
This book will introduce readers to topics related to core Python language like strings, data structures, iterators, functions, classes, modules, packages, concurrency, testing, debugging, and exceptions and tasks common to a wide range of application domains.
Each recipe offers code samples reader can use in different Python project.
Key Features:
- Learn about Data Structures and algorithms, strings Text, numbers, Date, and time
- Understanding the use of Data Encoding and Processing
- Learn about the Network and Web Programming
- Explore more about Metaprogramming
Author: David Beazley and Brian K. Jones
Rating: 4.5
Difficulty level: Advanced
Domain Specific Python books
11. Python for Data Analysis, 2e: Data Wrangling with Pandas, Numpy, and Ipython
Python for Data Analysis is the perfect book to become a Data Analyst as it teaches readers about the various libraries such as NumPy, Pandas which can be used to manipulate, process, clean and crunch down the data.
The 2nd edition of this book is packed with practical case studies that teach us how to solve a broad set of data analysis problems effectively in Python 3.
This book gives a practical, modern introduction to data science tools in Python. Hence, It's ideal for beginner analysts and for Python programmers new to data science and scientific computing.
Key Features:
- Explore the IPython shell and Jupyter notebook for exploratory computing
- Learn basic and advanced features in the NumPy library
- Introduction to data analysis tools in the pandas' library
- Learn the flexible use of tools to load, clean, transform, merge, and reshape data
- Create informative visualizations with Matplotlib
- Learn the use of the pandas groupby facility to slice, dice, and summarize datasets
- Learn how to analyze and manipulate regular and irregular time series data
- Learn how to solve real-world data analysis problems with thorough, descriptive examples.
Author: Wes McKinney
Rating: 4.5
Difficulty level: Advanced
Domain: Data Analysis
12. Python Data Science Handbook: Essential Tools for Working with Data
Python has a great application in the field of Data Science. There are a plethora of resources to learn data science. However, this book is ideal to learn Data Science as it gives in-depth knowledge about Pandas, IPython, NumPy, Matplotlib, and other related tools.
This book gives a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery.
This book is a reference for everyday Python-enabled data science, which covers both the computational and statistical skills necessary to effectively work with the problem.
Indeed, This is the best Python book for Data Science. And if you want to explore the world of Data Science, then you must go with this book.
Key Features:
- Learn how to analyze, manipulate, visualize, and learn from data.
- Learn to build statistical or machine, learning models
- Learn how to face a variety of Data science problems
Author: Jake Vanderplas
Rating: 4.5
Difficulty level: Advanced
Best Book To Learn Python 3
Domain: Data Science
13. Python Machine Learning: Machine Learning and Deep Learning with Python, sci-kit-learn, and TensorFlow 2, 3rd Edition
Python Machine Learning, 3rd Edition is a comprehensive guide to Machine learning, Deep learning, and Data analysis algorithms with Python. This updated edition of the book includes TensorFlow deep learning library.
This book is packed with crystal clear explanations, visualizations, and working examples covering all the essential machine learning techniques in depth.
This book provides in-depth knowledge of the various powerful libraries such as the Sci-kit for implementing the various Machine Learning algorithms.
This book will give you knowledge about the best practices that help you to improve and optimize your machine learning algorithms. Eventually, you'll be able to explore new data analysis opportunities available in this modern world.
In short, Python Machine Learning is the best book for Machine learning with Python.
Key Features:
- Explore TensorFlow 2.0
- Introduction to GANs
- Learn the skill of the frameworks, models, and techniques that enable machines to ‘learn' from data
- Explore how to use sci-kit-learn for machine learning and TensorFlow for deep learning
- Application of machine learning to image classification, sentiment analysis, intelligent web applications, and more
- Learn how to create and train neural networks, GANs, and other models
- Explore deeper into textual and social media data using sentiment analysis
Author: Sebastian Raschka and Vahid Mirjalili
Rating: 4.5
Difficulty level: Advanced
Domain: Machine Learning
14. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
In this book, you will get a highly accessible introduction to natural language processing. The NLP is the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
In this book, You will learn how to write Python programs that work with large collections of unstructured text.
This book will give you practical knowledge and skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open-source library.
This book is perfect for someone interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages.
Author: Steven Bird , Ewan Klein , Edward Loper
Rating: 4.5
Difficulty level: Advanced
Domain: Natural Language Processing
15. Django for Beginners: Build websites with Python and Django
Python can be used to develop web applications rapidly and this book will provide a step-by-step guide for developing web applications with Python and Django 2.1.
This book provides knowledge of the basics of Django Framework covering the structure, views, templates, and testing. Furthermore, it is filled with projects such as a newspaper app with a comment section, messaging app, and much more.
Key Features:
- Learn how to build websites from scratch that includes a Blog and Newspaper website
- Learn to Deploy website online using security best practices
- Customize the appearance and theme of your sites
- Write tests and run them for all your code
- Explore how to Integrate user authentication, email, and custom user, models
- Learn Addition of permissions and authorizations to make your application more secure
- Identification common mistakes and errors, so you can build your own websites
Author: William S. Vincent
Rating: 4.5
Difficulty level: Advanced
Domain: Web Development with Django
Bonus Book
16. Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers
Violent Python introduces you to the basics fundamentals of Cyber Security. This book teaches you how to step forward from a theoretical understanding of offensive computing concepts to practical implementation. It explains to readers about forensic analysis where data from RAM and other components need to be recovered using various techniques.
This book demonstrates how to code Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts.
Key Features:
- Learn about penetration testing
- Learn how to write code to intercept and analyze network traffic using Python, craft, and spoof wireless frames to attack wireless and Bluetooth devices
- how to data-mine popular social media websites
- Learn how to evade modern anti-virus.
Best Book To Learn Python Reddit
Author: TJ O'Connor
Rating: 4.5
Difficulty level: Advanced
Domain: Hacking and Forensic Analysis
Conclusion
All the best-recommended books of python are compiled in this article ranging from beginner to advanced level and domain-specific books.
I would suggest you take a beginner's book if you are a newbie and then move to an advanced and domain-specific python book.
If you want to be a pro and expert in python, I would recommend taking any of the best python courses along with any of the books of your choice.
I love all these books, but comment down which book you find the best?
The programming language Python is one of the technology industry's most wanted tech skills. If you don't know where to begin, teaching yourself how to code in Python can be a challenging. Many online tools teach you how to code in Python. Books are an excellent source of knowledge. Here are three books for the beginning to understand Python programming.
1. Python Tricks: A Buffet of Awesome Python Features by Dan Bader
You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally.
With Python Tricks: The Book you'll discover Python's best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative.
Learning the ins and outs of Python is difficult-and with this book you'll be able to focus on the practical skills that really matter. Discover the 'hidden gold' in Python's standard library and start writing clean and Pythonic code today.
2. Python Cookbook: Recipes for Mastering Python 3 (3rd Edition) by David Beazley
If you work on Python 3 this is a wonderful source of learning. This book is covered with Python 3 practical codes and test cases. This book will cover the core Python syntax and can practise basic tasks for a wide range of applications. In the book, data structures, strings, numbers, iterators, files and I/O are covered.
3. Machine Learning Algorithm, Second Edition by Giuseppe Bonaccorso
What Is The Best Book To Learn Python
Who want to begin with machine learning, this is a fantastic book. It speaks of the true strength of complex algorithms behind the strong results. The second edition of the book reviews influential ML algorithms development findings. Introduction to machine learning, machine education, functions and techniques, regression algorithms, linear classification algorithms, naive basis and discriminatory analysis, etc. are all subjects covered in this book.
4.Learn Python the Hard Way: 3rd Edition by Zed Shaw
The writer has made the best Python 3 learning systems available. The book will pass through 52 lessons that have been made beautifully. You can see the programs running and address errors. You can find information about how to build a full programming environment for Python, to solve and break code, simple math functions, string, interaction with users, file job, looping, and logic, etc.
Best Book To Learn Python For Data Science
5. Python One-Liners: Write Concise, Eloquent Python Like a Professional by Christian Mayer
You will be taught how to read and write 'one-liners' by Python One-liners: clear and concise declarations with useful functionalities in one line of code. You can learn how to unpack and comprehend every Python code line systematically and write eloquent, efficient compact Python like an expert.
Five chapters in this book cover tips and techniques, regular expressions, machine learning, key concepts in comp sci, and useful algorithms. Detailed one-line examples incorporate crucial IT terms and improve the coding and analytical capabilities. You can find out advanced features of Python including list comprehension, slicing, lambda functions, regular expressions, map and reduction features, and slice assignments.
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