Best books for learning Python

Ronald Mak

Software Design for Python Programmers shows you how to level up from writing Python code to designing Python applications. Following intuitive “before” and “after” examples of improved code, you’ll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. Great applications take advantage of established design principles and patterns that maximize performance, maintainability, and reliability. This book helps you master the “Pythonic” approach to architectural principles, such as encapsulation, abstraction, method variation, and more. The examples are in Python, but the techniques will apply to any object-oriented language. In Software Design for Python Programmers, you’ll learn to: • Analyze requirements and plan application architecture • Evolve designs through iterative development • Shape Python classes with high cohesion and loose coupling • Use decorators to introduce abstraction, enforce constraints, and enrich behavior • Apply industry-standard design principles to keep code modular and maintainable • Choose and implement the right design patterns for complex challenges About the Technology Great software starts with thoughtful design. You’ll be a more effective developer if you can decide how data will flow through your applications, create a winning software architecture, and structure functions, classes, and modules before you write a line of code. This book will get you started! About the Book Software Design for Python Programmers is a practical guide for creating maintainable, well-structured software in Python. By investigating clear “before and after” examples, you’ll discover how even small design choices can have a huge impact on an application’s clarity and reliability. As you go, you’ll learn how to gather requirements, shape a program’s architecture iteratively, create clean and reusable abstractions, and select design patterns that solve the real problems you’ll face on the job. What’s Inside • Turn vague requirements into solid designs • Python-specific software design techniques • Create classes with high cohesion and loose coupling About the Readers For programmers comfortable with Python syntax. About the Author Ronald Mak is a former NASA senior scientist. Currently, he teaches data science and computer science at San Jose State University. He is the author of Object-Oriented Software Design in C++. Table of Contents Part 1 1 The path to well-designed software 2 Iterate to achieve good design Part 2 3 Get requirements to build the right application 4 Good class design to build the application right Part 3 5 Hide class implementations 6 Don’t surprise your users 7 Design subclasses right Part 4 8 The Template Method and Strategy Design Patterns 9 The Factory Method and Abstract Factory Design Patterns 10 The Adapter and Façade Design Patterns 11 The Iterator and Visitor Design Patterns 12 The Observer Design Pattern 13 The State Design Pattern 14 The Singleton, Composite, and Decorator Design Patterns Part 5 15 Designing solutions with recursion and backtracking 16 Designing multithreaded programs

Naomi Ceder

A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI! For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python's comprehensive standard library and unique features in depth and detail. In this fourth edition, you’ll find new coverage of AI coding tools like Copilot and Google's Colaboratory (Colab), and develop a mindset that can make the most of AI. The Quick Python Book, Fourth Edition includes: • Python syntax, data structures, and best practices • Python as an object oriented language • Common Python libraries • Basic data handling with Python • Using AI code generation tools with Python Whether you’re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. Foreword by Luciano Ramalho. About the technology System automation. High-performance web apps. Cloud and back-end services. Cutting edge AI. No matter what you’re building, it pays to know how to read and write Python! The Quick Python Book has helped over 100,000 developers get up to speed with the Python programming language. This revised Fourth Edition, fully updated for Python 3.13, explores the latest features and libraries and shows you how to code smarter with AI tools like ChatGPT. About the book The Quick Python Book, Fourth Edition teaches you the essential Python features and techniques you need for most common scripting, application programming, and data science tasks. Written for developers comfortable with another programming language, it dives right into the good stuff. New interactive notebooks, quick-check questions, and end-of-chapter labs all help practice and consolidate your new skills. Plus, you’ll find practical advice on writing prompts and using AI assistants to accelerate your day-to-day work. What's inside • Python syntax, data structures, and best practices • Object-oriented Python • Must-know Python libraries • Data handling About the reader For beginning-intermediate programmers. No prior experience with Python required. About the author Naomi Ceder has been learning, teaching, and writing about Python since 2001. An elected fellow of the Python Software Foundation, Naomi is a past chair of its board of directors. In 2022 she became the seventh person to receive the PSF Distinguished Service Award. Table of Contents Part 1 1 About Python 2 Getting started 3 The quick Python overview Part 2 4 The absolute basics 5 Lists, tuples, and sets 6 Strings 7 Dictionaries 8 Control flow 9 Functions 10 Modules and scoping rules 11 Python programs 12 Using the filesystem 13 Reading and writing files 14 Exceptions Part 3 15 Classes and object-oriented programming 16 Regular expressions 17 Data types as objects 18 Packages 19 Using Python libraries Part 4 20 Basic file wrangling 21 Processing data files 22 Data over the network 23 Saving data 24 Exploring data Appendix A guide to Python’s documentation

Naomi Ceder

Summary This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail. Foreword by Nicholas Tollervey, Python Software Foundation. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Initially Guido van Rossum's 1989 holiday project, Python has grown into an amazing computer language. It's a joy to learn and read, and powerful enough to handle everything from low-level system resources to advanced applications like deep learning. Elegantly simple and complete, it also boasts a massive ecosystem of libraries and frameworks. Python programmers are in high demand/mdash;you can't afford not to be fluent! About the Book The Quick Python Book, Third Edition is a comprehensive guide to the Python language by a Python authority, Naomi Ceder. With the personal touch of a skilled teacher, she beautifully balances details of the language with the insights and advice you need to handle any task. Extensive, relevant examples and learn-by-doing exercises help you master each important concept the first time through. Whether you're scraping websites or playing around with nested tuples, you'll appreciate this book's clarity, focus, and attention to detail. What's Inside Clear coverage of Python 3 Core libraries, packages, and tools In-depth exercises Five new data science-related chapters About the Reader Written for readers familiar with programming concepts--no Python experience assumed. About the Author Naomi Ceder is chair of the Python Software Foundation. She has been learning, using, and teaching Python since 2001. Table of Contents PART 1 - STARTING OUT 1. About Python 2. Getting started 3. The Quick Python overview PART 2 - THE ESSENTIALS 4. The absolute basics 5. Lists, tuples, and sets 6. Strings 7. Dictionaries 8. Control flow 9. Functions 10. Modules and scoping rules 11. Python programs 12. Using the filesystem 13. Reading and writing files 14. Exceptions PART 3 - ADVANCED LANGUAGE FEATURES 15. Classes and object-oriented programming 16. Regular expressions 17. Data types as objects 18. Packages 19. Using Python libraries PART 4 - WORKING WITH DATA 20. Basic file wrangling 21. Processing data files 22. Data over the network 23. Saving data 24. Exploring data

Allegra Via, Kristian Rother, Anna Tramontano

Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

David Mertz

Move Beyond Python Code That "Mostly Works" to Code That Is Expressive, Robust, and Efficient Python is arguably the most-used programming language in the world, with applications from primary school education to workaday web development, to the most advanced scientific research institutes. While there are many ways to perform a task in Python, some are wrong, inelegant, or inefficient. Better Python Code is a guide to "Pythonic" programming, a collection of best practices, ways of working, and nuances that are easy to miss, especially when ingrained habits are borrowed from other programming languages. Author David Mertz presents concrete and concise examples of various misunderstandings, pitfalls, and bad habits in action. He explains why some practices are better than others, based on his 25+ years of experience as an acclaimed contributor to the Python community. Each chapter thoroughly covers related clusters of concepts, with chapters sequenced in ascending order of sophistication. Whether you are starting out with Python or are an experienced developer pushing through the limitations of your Python code, this book is for all who aspire to be more Pythonic when writing better Python code. Use the right kind of loops in Python Learn the ins and outs of mutable and immutable objects Get expert advice to avoid Python "gotchas" Examine advanced Python topics Navigate the "attractive nuisances" that exist in Python Learn the most useful data structures in Python and how to avoid misusing them Avoid security mistakes Understand the basics of numeric computation, including floating point numbers and numeric datatypes "My high expectations for this engaging Python book have been exceeded: it offers a great deal of insight for intermediate or advanced programmers to improve their Python skills, includes copious sharing of precious experience practicing and teaching the language, yet remains concise, easy to read, and conversational." --From the Foreword by Alex Martelli Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Mark Russel

Python programming intermediate What will this text talk about? We will start from the history of Python up to its darkest meanderings, this text tries to compress all the fundamental points of the language, so that you can already program various types of programs with this information, if you are a basic programmer, you will find comfort in this book that will help you improve your knowledge of language and therefore also make a good impression during a job interview or during a practical test. "In this Python programming book, you will find out: " - The problems that people who start programming in Python have and how to overcome them. If you want to learn more about how to Learn Python in a few days and have results without expensive courses then simply

Luciano Ramalho

Explains how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything the language has to offer. By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time. --From publisher description.

Lewis Smith

55% OFF for Bookdtores ! now at 32.99 instead of 49.99$! If you want to transform your customers from beginner to expert, you can't miss this book ! Learn Python Programming for Beginners-The Ultimate and Complete Tutorial to Easily Get the Python Intermediate Level with Step-by-Step Practical Exercise, to Code with Python Starting from Scratch. Learning to code is essential to keep up with the times, increasing the opportunities that life has to offer you. Whether you are a tech enthusiast, enterprising student, or entrepreneur, if you choose to learn Python you are making the right and winning choice. Web development? Artificial intelligence? Automation and IoT? Python is all of this and more! Python can be used as an effective choice in any application and project, be it small or large. This characteristic makes it encountered in any modern software development scenario. Did you know that Python is one of the languages ​​behind extremely popular services and websites like Instagram, YouTube, Reddit, and Mozilla? You cannot enter the magic and rich IT world without knowing what Python is and how it works... ... and this incredibly exhaustive tutorial will give you all the knowledge and information you need to become a Python Pro! In this book, you will: - Clearly and Easily Understand What Python Is and How It Works, starting from the instructions to correctly install it on your PC to show you how it runs and works. - Discover Secret Tips and Tricks to Get Started with Python for Beginners to enhance your skills and help you with daily data science tasks. If you want to make your Python coding more efficient, do not miss these tips/tricks! - Learn the Best Machine Learning Algorithms for Beginners with Coding Samples in Python; it is excellent for algorithmic design, as it is used extensively in data science and machine learning technologies. - Get the Fundamentals of Python Data Structures to introduce you to object-oriented design and data structures using this popular programming language, and give you the necessary knowledge to do whatever you want with Python. - Learn How Python Makes Decisions to Control Flow in Programming. It is crucial to control the program execution because, in real scenarios, the situations are full of conditions, and if you want your program to mimic the real world closer, then you need to transform those real-world situations into your program. - ... & Lot More! For those new to programming, the number one priority is to sit in front of the screen and learn how to program as quickly as possible! Python was designed not only to be simple to understand but also fun to use. You can create prototypes and mini-programs very quickly, to immediately experience real satisfaction. It is thanks to this simplicity that it has gained not only a great deal of popularity but also a reputation as an "easy to learn language". Buy now and let your customers get addicted to this amazing book

Rick Copeland

Essential SQLAlchemy introduces a high-level open-source code library that makes it easier for Python programmers to access relational databases such as Oracle, DB2, MySQL, PostgreSQL, and SQLite. SQLAlchemy has become increasingly popular since its release, but it still lacks good offline documentation. This practical book fills the gap, and because a developer wrote it, you get an objective look at SQLAlchemy's tools rather than an advocate's description of all the "cool" features. SQLAlchemy includes both a database server-independent SQL expression language and an object-relational mapper (ORM) that lets you map "plain old Python objects" (POPOs) to database tables without substantially changing your existing Python code. Essential SQLAlchemy demonstrates how to use the library to create a simple database application, walks you through simple queries, and explains how to use SQLAlchemy to connect to multiple databases simultaneously with the same Metadata. You also learn how to: Create custom types to be used in your schema, and when it's useful to use custom rather than built-in types Run queries, updates, and deletes with SQLAlchemy's SQL expression language Build an object mapper with SQLAlchemy, and understand the differences between this and active record patterns used in other ORMs Create objects, save them to a session, and flush them to the database Use SQLAlchemy to model object oriented inheritance Provide a declarative, active record pattern for use with SQLAlchemy using the Elixir extension Use the SQLSoup extension to provide an automatic metadata and object model based on database reflection In addition, you'll learn how and when to use other extensions to SQLAlchemy, including AssociationProxy, OrderingList, and more. Essential SQLAlchemy is the much-needed guide for every Python developer using this code library. Instead of a feature-by-feature documentation, this book takes an "essentials" approach that gives you exactly what you need to become productive with SQLAlchemy right away.

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