Programming and scripting languages: general Books
£59.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Beginning Python
Book SynopsisGain a fundamental understanding of Python's syntax and features with this revised introductory and practical reference. Covering a wide array of Pythonrelated programming topics, including addressing language internals, database integration, network programming, and web services, you'll be guided by sound development principles.Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in Python 3,Beginning Python, Fourth Editionalso covers advanced topics such as extending Python and packaging/distributing Python applications. Ten accompanying projects will ensure you can get your hands dirty in no time. You will:Become a proficient Python programmer by following along with a friendly, practical guide to the language's key featuresWrite code faster by learning how to take advantage of advanced features such as magic methods, exceptions, and abstractionGain insight into modern Python programming paradigms including testing, documentation, packaging, and distributionWork through several interesting projects, including a P2P filesharing application, chat client, video game, remote text editor, and moreWho This Book Is ForProgrammers, novice and otherwise, seeking a comprehensive introduction to the Python programming language.
£49.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Prototyping Python Dashboards for Scientists and Engineers
Book SynopsisCreate interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format. You'll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, you'll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date. The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra. By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts. What You'll LearnDesign a dashboard with PythonConvert and filter Excel formatted files to produce CSV filesCreate browser-served graphics with PLOTLYGenerate polynomial trend lines for forecastingBuild a Unix service to share your dashboardWho This Book Is ForScientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.
£31.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Modern C for Absolute Beginners
Book SynopsisLearn the basics of C, the C standard library, and modern C standards.
£43.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Deep Reinforcement Learning with Python
Book SynopsisGain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL). This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field.New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities. You'll also review the steps for using the code on multiple cloud systems and deploying models on platforms such as Hugging Face Hub. The code is in Jupyter Notebook, which canbe run on Google Colab, and other similar deep learning cloud platforms, allowing you to tailor the code to your own needs.Whether it's for applications in gaming, robotics, or Generative AI,Deep Reinforcement Learning with Python will help keep you ahead of the curve. What You'll LearnExplore Python-based RL libraries, including StableBaselines3 and CleanRLWork with diverse RL environments like Gymnasium, Pybullet, and Unity MLUnderstand instruction finetuning of Large Language Models using RLHF and PPOStudy training and optimization techniques using HuggingFace, Weights and Biases, and OptunaWho This Book Is ForSoftware engineers and machine learning developers eager to sharpen their understanding of deep RL and acquire practical skills in implementing RL algorithms fromscratch.
£46.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Understanding Generative AI Business Applications
Book SynopsisThis guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you're a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization's success. What You Will LearnWhat are the technical elements that constitute the makeup of Generative AI products?What are the practical applications of Generative AI?How can algorithms be designed to automate and improve written communication?What are the latest Generative AI architectures and algorithms?Who This Book Is ForData scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products
£39.99
Apress Java Testing with Selenium
Book SynopsisChapter 1: Introduction to Selenium.- Chapter 2: Getting Started.- Chapter 3: Mouse and Keyboard Actions.- Chapter 4: Web Elements.- Chapter 5: Navigation.- Chapter 6: Buttons.- Chapter 7: Frames and Textboxes.- Chapter 8: Assertions.- Chapter 9: Exceptions.- Chapter 10: Waits.- Chapter 11: Page Object Models.- Chapter 12: Selenium with TestNG Framework.
£35.99
Apress Helidon Revealed
Book SynopsisPart I. Getting Started.- 1. Introduction to Project Helidon.- 2. The MicroProfile Specification.- 3. The Jakarta EE Specifications.- Part II. Helidon SE.- 4. Generating a Project with Helidon SE.- 5. Helidon Web Server.- 6. Helidon Web Client.- 7. Helidon Config.- 8. Helidon DB Client.- 9. Helidon Security.- Part III. Helidon MP.- 10. Generating a Project with Helidon MP.- 11. Helidon Metrics.- 12. Helidon Fault Tolerance.- 13. Helidon Health Checks.- Appendix A. MicroProfile Release History.- Appendix B. The Jakarta EE Specifications.- Appendix C. Helidon Reactive Web Server.
£43.99
£46.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG MLOps with Ray
Book SynopsisUnderstand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness. The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack. This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll LearnGain an understanding of the MLOps disciplineKnow the MLOps technical stack and its componentsGet familiar with the MLOps adoption strategyUnderstand feature engineeringWho This Book Is ForMachine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Generative Artificial Intelligence
Book SynopsisThis book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today's AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will LearnWhat is Generative Artificial Intelligence?What are text-to-image synthesis techniques and conditional image generation?What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques?What are text-to-video models and how do you tune them?What are large language models, and how do youtune them?Who This Book Is ForThose with intermediate to advanced technical knowledge in artificial intelligence and machine learning
£38.24
Apress Practical C STL Programming
Book SynopsisPrologue.- Chapter 1: C++ Review.- Chapter 2: Formatted I/O.- Chapter 3: Sequence Containers Part 1.- Chapter 4: Sequence Containers Part 2.- Chapter 5: General Utilities Library.- Chapter 6: Smart Pointers.- Chapter 7: Associative Containers.- Chapter 8: Unordered Associative Containers.- Chapter 9: Container Adaptors.- Chapter 10: Algorithms Part 1.- Chapter 11: Algorithms Part 2.- Chapter 12: Algorithms Part 3.- Chapter 13: Algorithms Part 4.- Chapter 14: Ranges Part 1.- Chapter 15: Ranges Part 2.- Chapter 16: Time Library.- Chapter 17: File Systems.- Chapter 18: Numerical Processing Part 1.- Chapter 19: Numerical Processing Part 2.- Chapter 20: Concurrency Part 1.- Chapter 21: Concurrency Part 2.- Appendix A: Source Code and Development Tools.- Appendix B: References and Resources.
£71.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Applied Data Science Using PySpark
Book SynopsisChapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments.
£46.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Generative AI Apps with LangChain and Python
Book SynopsisFuture-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you'll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries. Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you'll learn-by-be doing, enhancing your career possibilities in today's rapidly evolving landscape. What You Will Learn Understand different types of LLMs and how to select the right ones for responsible AI. Structure effective prompts. Master LangChain concepts, such as chains, models, memory, and agents. Apply embeddings effectively for search, content comparison, and understanding similarity. Setup and integrate Pinecone vector database for indexing, structuring data, and search. Build Q & A applications for multiple doc formats. Develop multi-step AI workflow apps using LangChain agents. Who This Book Is ForPython programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.
£46.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG The Definitive Guide to Modern Java Clients with JavaFX
Book SynopsisBuild enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX's latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation.This book is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 21 and 23.This third edition has been updated to include new features introduced in JavaFX 21 and 23, including NEW APIs: Map, FlatMap, and OrElse fluent bindings for ObservableValue, along with the new Subscription API. Additionally, it's updated to account for new bug fixes and overall improvements to existing functionality in Java.After reading this book, you will be equipped to upgrade legacy client applications, develop cross-platform applications in Java, and build enhanced desktop and mobile native clients. What You Will LearnCreate modern client applications in Java using the latest JavaFX 21 and 23Build enterprise clients that will enable integration with existing cloud servicesUse advanced visualization and 3D featuresDeploy on desktop, mobile, and embedded devicesWho This Book Is ForProfessional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set
£53.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Java 23 for Absolute Beginners
Book SynopsisWrite your first code in Java 23 using simple, step-by-step examples that model real-word objects and events, making learning easy. With this book you will be able to pick up core programming concepts without fuss and write efficient Java code in no time. Clear code descriptions and layout ensure you get your code running as soon as possible.Author Iuliana Cosmina focuses on practical knowledge and getting you up to speed quicklyall the bits and pieces a novice needs to get started programming in Java.In this edition, you will discover how Java has changed since version 17, and how to design and write code using the most recently introduced Java features such as new collection methods, virtual threads, pattern and record matching in switch expressions, structured concurrency tasks, unnamed classes and instance methods, and many more. This book is a complete Java guide, covering the following topics: setting up a development environment, programming concepts and well-known programming principles, writing Java code following industry-specific design patterns and coding conventions, executing it, debugging, testing, documenting it and even using specialized tools such as IntelliJ IDEA for writing Java code, Maven for building, JUnit Jupiter for testing, and in-memory and Docker-hosted databases or data storage. After reading this book, you'll have all the necessary skills and knowledge to pass an interview for a starting Java development position. What You Will LearnSet up a Java development environmentUse the Java language to write high-quality codeUnderstand fundamental programming concepts and algorithmsUse virtual threads, records, and other Java renown featuresDebug, test, and document Java codeImprove performance by customizing the Garbage CollectorWho This Book Is ForThose who are new to programming and want to learn Java and use it to build efficient solutions
£63.74
Apress Stochastic Finance with Python
Book SynopsisPart I - Foundations & Pre-requisites.- Chapter 1 - Introduction.- Chapter 2 Finance Basics & Data Sources.- Chapter 3 - Probability.- Chapter 4 - Simulation.- Chapter 5 Stochastic Process.- Part II Basic Asset Price Modelling.- Chapter 6 Diffusion Model.- Chapter 7 Jump Models.- Part III Financial Options Modelling.- Chapter 8 Options & Black-Scholes Model.- Chapter 9 PDE, Finite-Difference & Black-Scholes Model.- Part IV - Portfolios.- Chapter 10 Portfolio Optimization.
£46.74
Apress Pro RESTful APIs with Micronaut
Book Synopsis1. Fundamentals of RESTful APIs.- 2. Micronaut.- 3. Introduction to XML and JSON.- 4. API Design and Modeling.- 5. Introduction to JAX-RS.- 6. API Portfolio and Framework - Services.- 7. API Platform and Data Handler.- 8. API Management and CORS.- 9. Micronaut Security.
£39.99
Apress Deep Dive Python
Book SynopsisChapter 1: List.- Chapter 2: Tuple.- Chapter 3: Set and Dictionary.- Chapter 4: Logging.- Chapter 5: Exceptions.- Chapter 6: Functions and Functools Module.- Chapter 7: Classes and Object Oriented Programming.- Chapter 8: Dunder methods.- Chapter 9: Decorators.- Chapter 10: Descriptors.- Chapter 11: Metaclasses.- Chapter 12: Typing.- Chapter 13: Generators and iterators.- Chapter 14: Itertools module.- Chapter 15: Multithreading.- Chapter 16: Multiprocessing.- Chapter 17: Asyncio.- Chapter 18: Data Serialization and Persistence.- Chapter 19: Contextlib and Contextmanager.- Chapter 20: Abstract base classes.- Chapter 21: Code organization.- Chapter 22: Packaging.- Chapter 23: Dependency Management.- Chapter 24: Testing.
£46.74
Apress Magical Haskell
Book SynopsisChapter 1: Wizards, Types, and Functions.- Chapter 2: Type Constructions.- Chapter 3: Very Gentle Type Theory and Category Theory Introduction.- Chapter 4: Basic Typeclasses or Show me a Monoid.- Chapter 5: Functor, Bifunctor and Applicative Functor Enter an Elevator.- Chapter 6: O Monad, Help me Compose.- Chapter 7: Input, Transformer Stack, Output.- Chapter 8: Blackjack - Full Haskell Program.- Chapter 9: Let's AI.- Chapter 10: Terminal AI Chatbot.- Chapter 11: Web-enabled AI Framework.- Chapter 12: Adding RAG (Retrieval Augmented Generation).- Chapter 13: AI Multi-Agents and the Future.
£46.74
Apress When Docker Meets Java
Book SynopsisChapter 1: Overview of Containers.- Chapter 2: Docker High-Level Overview.- Chapter 3: Up and Running with Docker.- Chapter 4: Learning Advanced Docker Concepts.- Chapter 5: Containerizing Java Applications with Dockerfile.- Chapter 6: Working with Container Builder Tools for Java Applications.- Chapter 7: Deploying Docker Containers using GitHub Actions.- Chapter 8: Exploring Docker Alternatives.- Chapter 9: Building Native Images with GraalVM.- Chapter 10: Testing Java Applications using Testcontainers.- Chapter 11: Docker Best Practices for Java Developers.
£50.99
Apress Pro Cloud Native Java EE Apps
Book Synopsis1. Jakarta EE Foundations: Theory and Core Concepts.- 2. Jakarta EE, Microservices, and Cloud-Native Synergy.- 3. Architecting Enterprise Applications with Jakarta EE.- 4. Decoupling with Jakarta CDI: Dependency Injection Mastery.- 5. Data Persistence with Jakarta Data: Modern Persistence Patterns.- 6. Building RESTful Web Services with Jakarta REST.- 7. Jakarta EE Configuration: Flexibility and Best Practices.- 8. Fault Tolerance and Resilience with Jakarta EE.- 9. Metrics for Jakarta EE Applications: Monitoring and Observability.- 10. Health Checks for Cloud-Native Jakarta EE Applications.- 11. Securing Jakarta EE with JWT: Cloud-Native Authentication.- 12. Jakarta EE Testing with Testcontainers: Streamlined Integration Testing.- 13. Cloud-Native Deployments with Jakarta EE: Kubernetes and Beyond.- 14. Monoliths, Moduliths, and Microservices with Jakarta EE: Architectural Patterns.- 15. AI, LLMs, and Jakarta EE: The Next Frontier.
£46.74
Apress Python Bootcamp
Book SynopsisPart I: Foundations.- Chapter 1: Getting Ready.- Chapter 2: Variables and Operators.- Chapter 3: Simple Data Types.- Part II: Building Smart Programs.- Chapter 4: Decision Making.- Chapter 5: Loops.- Chapter 6: Advanced Data Types.- Chapter 7: Functions and Modules.- Chapter 8: Exception Management.- Chapter 9: Programming with Files.- Part III: Introduction to OOP.- Chapter 10: Classes and Objects.- Chapter 11: Inheritance.- Appendix A: Supplementary Material.- Appendix B: What's Next?.- Appendix C: Other Books by the Author.
£39.99
Apress Why Learn C
Book SynopsisPart 1. Learning C.- 1. A Tour of C.- 2. Comments, Names, and Types.- 3. Operators .- 4. Declarations.- 5. Statements.- 6. Arrays and Pointers.- 7. Enumerations.- 8. Preprocessor.- 9. Functions.- 10. Structures.- 11. Unions.- 12. Input, Output, and Files.- 13. Program Organization.- 14. Multithreading.- Part 2. Selected Topics.- 15. Undefined Behavior.- 16. Assertions.- 17. _Atomic.- 18. Debugging.- 19. Generic.- 20. setjmp and longjmp.- 21. restrict.- 22. volatile.- Part 3. Extended Examples.- 23. Strings.- 24. Lists.- 25. Maps.- 26. Dynamic Dispatch.- 27. Exceptions in C.- A. Standard Headers.- B. Standard Functions.- C23 Differences.
£46.74
Apress Practical Microservices Architectural Patterns
Book Synopsis1. Distributed Computing Architecture Landscape. - 2. Introducing Microservices.- 3. Microservices in Depth.- 4. Microservices Architecture Principles.- 5. Core Architecture Patterns for Microservices.- 6. Asynchronous Messaging in Microservices.- 7. Getting started with Spring Boot for Microservices.- 8. Building Cloud-Native Microservices with Spring Cloud.- 9. Designing for High Availability in Microservices.- 10. Microservices Performance Tuning and Optimization.- 11. Events, Eventual Consistency and Data Integrity.- 12. Implementing CQRS with Axon Framework.- 13. Distributed Transactions.- 14. Managing Transactions in Microservices.- 15. Optimizing Transaction Strategies for Microservices.- 16. Designing Scalable and Highly Available Microservices.- 17. Building an E-Commerce System based on CQRS with Axon.- 18. Security Best Practices for Microservices.- 19. BASE Transactions and Eventual Consistency with Axon.- Appendices.
£999.99
Apress Introduction to Programming for Researchers
Book Synopsis1. Introduction.- 2. Computation.- 3. Operating Systems.- 4. Bash.- 5. Bash: Combining Commands & Variables to Make Pipelines & Scripts to Process Data.- 6. Algorithms & Coding.- 7. Floating-Point Numbers.- 8. Python.- 9. Using Python As A Calculator.- 10. Programming.- 11. Functions.- 12. Software Design.- 13. Working with Datasets.- 14. Programming Efficiency.- 15. Other Subjects.- 16. SciPy.- 17. Odds & Ends.- 18. Writing A Large Project.
£49.49
Apress Kotlin Mastery
£41.24
Apress CPython
Book Synopsis Chapter 1: Let’s Read CPython Source Code.- Chapter 2: Introduction to the CPython Project.- Chapter 3: Everything is an Object (Part 1).- Chapter 4: The Lifecycle of Object Creation.- Chapter 5: Everything is an Object (Part 2).- Chapter 6: My Python Does Backflips!.- Chapter 7: When Importing Modules.- Chapter 8: The Past and Present of Integers.- Chapter 9: The Floating Point Odyssey.- Chapter 10: The Secret Life of Strings (Part 1).- Chapter 11: The Secret Life of Strings (Part 2).- Chapter 12: From Compile to Execution.- Chapter 13: A Tour of the Bytecode Factory.- Chapter 14: The Queueing Life of Lists.- Chapter 15: The Art of Dictionary Management (Part 1).- Chapter 16: The Art of Dictionary Management (Part 2).- Chapter 17: The Unyielding Nature of Tuples.- Chapter 18: The Virtual Machine Saga (Part 1).- Chapter 19: The Virtual Machine Saga (Part 2).- Chapter 20: The Virtual Machine Saga (Part 3).- Chapter 21: The Virtual Machine Saga (Part 4).- Chapter 22: The Virtual Machine Saga (Part 5).- Chapter 23: Classes and Their Origins.- Chapter 24: Inheritance and Family Feuds (Part 1).- Chapter 25: Inheritance and Family Feuds (Part 2).- Chapter 26: Inheritance and Family Feuds (Part 3).- Chapter 27: Creating a Generator.- Chapter 28: The Colorful World of Iterators.- Chapter 29: Descriptors Everywhere.- Chapter 30: The Hidden Truth of Exception Handling.
£43.99
