A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques

Key Features:

• Build an intuitive understanding of object-oriented design, from introductory to mature programs
• Learn the ins and outs of Python syntax, libraries, and best practices
• Examine a machine-learning case study at the end of each chapter

Book Description:

Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.

Steven and Dusty provide a friendly, comprehensive tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. UML class diagrams are generously used throughout the text for you to understand class relationships. Beyond the book's focus on OOP, it features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Not one, but two very powerful automated testing systems, unittest and pytest, are introduced in this book. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.

By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.

What You Will Learn:

• Implement objects in Python by creating classes and defining methods
• Extend class functionality using inheritance
• Use exceptions to handle unusual situations cleanly
• Understand when to use object-oriented features, and more importantly, when not to use them
• Discover several widely used design patterns and how they are implemented in Python
• Uncover the simplicity of unit and integration testing and understand why they are so important
• Learn to statically type check your dynamic code
• Understand concurrency with asyncio and how it speeds up programs

Who this book is for:

If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.

Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more.

Purchase of the print or Kindle book includes a free eBook in PDF format

Key Features:

- New chapters on type matching, data visualization, dependency management, and more

- Comprehensive coverage of Python 3.12 with updated recipes and techniques

- Provides practical examples and detailed explanations to solve real-world problems efficiently

Book Description:

Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases.

The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features.

What You Will Learn:

- Master core Python data structures, algorithms, and design patterns

- Implement object-oriented designs and functional programming features

- Use type matching and annotations to make more expressive programs

- Create useful data visualizations with Matplotlib and Pyplot

- Manage project dependencies and virtual environments effectively

- Follow best practices for code style and testing

- Create clear and trustworthy documentation for your projects

Who this book is for:

This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful

Table of Contents

- Numbers, Strings, and Tuples

- Statements and Syntax

- Function Definitions

- Built-In Data Structures Part 1: Lists and Sets

- Built-In Data Structures Part 2: Dictionaries

- User Inputs and Outputs

- Basics of Classes and Objects

- More Advanced Class Design

- Functional Programming Features

- Type Matching and Annotations

- Input/Output, Physical Format, and Logical Layout

- Graphics and Visualization with Jupyter Lab

- Application Integration: Configuration

- Application Integration: Combination

- Testing

- Dependencies and Virtual Environments

- Documentation and Style

Complete recipes spread across 15 chapters to help you overcome commonly faced issues by Python for everybody across the globe. Each recipe takes a problem-solution approach to resolve for effective Python.

Key Features

- Develop expressive and effective Python programs

- Best practices and common idioms through carefully explained recipes

- Discover new ways to apply Python for data-focused development

- Make use of Python's optional type annotations

Book Description

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.

This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications.

The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.

By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.

What you will learn

- See the intricate details of the Python syntax and how to use it to your advantage

- Improve your coding with Python readability through functions

- Manipulate data effectively using built-in data structures

- Get acquainted with advanced programming techniques in Python

- Equip yourself with functional and statistical programming features

- Write proper tests to be sure a program works as advertised

- Integrate application software using Python

Who this book is for

The Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.

Table of Contents

- Numbers, Strings, and Tuples

- Statements and Syntax

- Function Definitions

- Built-In Data Structures Part 1: Lists and Sets

- Built-In Data Structures Part 2: Dictionaries

- User Inputs and Outputs

- Basics of Classes and Objects

- More Advanced Class Design

- Functional Programming Features

- Input/Output, Physical Format, and Logical Layout

- Testing

- Web Services

- Application Integration: Configuration

- Application Integration: Combination

- Statistical Programming and Linear Regression

Using this book has propelled my efficiency in solving leetcode challenges. - Discord user, zizu

Python isn't all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach - and learn when you need to use it. Now with detailed exercises at the end of every chapter!

Purchase of the print or Kindle book includes a free eBook in PDF format.

Key Features:

• Learn how, when, and why to adopt functional elements in your projects
• Explore the Python modules essential to functional programming, like itertools and functools
• Cover examples relevant to mathematical, statistical, and data analysis domains

Book Description:

Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you're a leetcoder preparing for coding interviews, this book is for you.

Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though - you'll also see how Python's native object orientation is used in conjunction with functional programming techniques.

By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.

What You Will Learn:

• Use Python's libraries to avoid the complexities of state-changing classes
• Leverage built-in higher-order functions to avoid rewriting common algorithms
• Write generator functions to create lazy processing
• Design and implement decorators for functional composition
• Make use of Python type annotations to describe parameters and results of functions
• Apply functional programming to concurrency and web services
• Explore the PyMonad library for stateful simulations

Who this book is for:

The functional paradigm is very useful for programmers working in data science or preparing for technical interviews, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book.

No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.

Develop Python applications using an enterprise-based approach with unit and acceptance tests by following agile methods to create a minimum viable product (MVP) and iteratively add features

Key Features:

• Master Python and related technologies by working on 12 hands-on projects
• Accelerate your career by building a personal project portfolio
• Explore data acquisition, preparation, and analysis applications
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills.

Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You'll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You'll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you'll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features.

By the end of this book, you'll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.

What You Will Learn:

• Explore core deliverables for an application including documentation and test cases
• Discover approaches to data acquisition such as file processing, RESTful APIs, and SQL queries
• Create a data inspection notebook to establish properties of source data
• Write applications to validate, clean, convert, and normalize source data
• Use foundational graphical analysis techniques to visualize data
• Build basic univariate and multivariate statistical analysis tools
• Create reports from raw data using JupyterLab publication tools

Who this book is for:

This book is for beginner-to-intermediate level Python programmers looking to enhance their resume by adding a portfolio of 12 practical projects. A basic understanding of the Python language and its aligned technologies is a must. The book helps you polish your Python skills and project-building prowess without delving into basic Python fundamentals.

Create succinct and expressive implementations with functional programming in Python

Key Features:

• Implement common functional programming design patterns and techniques in Python
• Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance
• Apply functional Python to common Exploratory Data Analysis (EDA) programming problems

Book Description:

Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science.

This practical guide demonstrates the Python implementation of a number of functional programming techniques and design patterns. Starting with a general overview of functional programming concepts, you will explore common functional features such as first-class and higher-order functions, pure functions and more, and how these are accomplished in Python. Additionally, you will cover how common functional optimizations can be handled in Python. You'll also explore data preparation techniques and data exploration in depth. Moving on, you will learn how the Python standard library fits the functional programming model. The book concludes with a look at the PyMonad project and some larger examples.

By the end of this book, you will be able to understand what functional programming is all about, its impact on the programming workflow, why it's important, and how to implement it in Python.

What You Will Learn:

• Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner
• Utilize Python library modules including itertools, functools, multiprocessing, and concurrent.futures for efficient functional programs
• Use Python strings using object-oriented suffix notation and prefix notation
• Avoid stateful classes with families of tuples
• Design and implement decorators to create composite functions
• Use functions like max(), min(), map(), filter(), and sorted()
• Write higher-order functions

Who this book is for:

The latest in modern Python recipes for the busy modern programmer

Key Features:

• Develop succinct, expressive programs in Python
• Learn the best practices and common idioms through carefully explained and structured recipes
• Discover new ways to apply Python for the new age of development

Book Description:

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.

This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language.

The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks.

The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.

What you will learn:

• See the intricate details of the Python syntax and how to use it to your advantage
• Improve your code readability through functions in Python
• Manipulate data effectively using built-in data structures
• Get acquainted with advanced programming techniques in Python
• Equip yourself with functional and statistical programming features
• Write proper tests to be sure a program works as advertised
• Integrate application software using Python

Who this book is for:

The book is for web developers, programmers, enterprise programmers, engineers, big data scientist, and so on. If you are a beginner, Python Cookbook will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.