Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date!Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online.As you work through the book, you’ll learn how to:Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and DjangoMake increasingly complex 2D games that respond to keypresses and mouse clicksGenerate interactive data visualizations using a variety of datasetsBuild apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django.If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code!Covers Python 3.x Read more

System Design Interview - An Insider's Guide (Volume 2)This book can be seen as a sequel to the book: System Design Interview - An Insider’s Guide. It covers a different set of system design interview questions and solutions. Although reading Volume 1 is helpful, it is not required. This book should be accessible to readers who have a basic understanding of distributed systems.This volume provides a reliable strategy and knowledge base for approaching a broad range of system design questions that you may encounter. It will help you feel confident during this important interview. This book provides a step-by-step framework for how to tackle a system design question. It also includes many real-world examples to illustrate a systematic approach, with detailed and well-explained steps you can follow.What’s inside?- An insider’s take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 13 real system design interview questions with detailed solutions.- 300+ diagrams to visually explain how different systems work.Table of ContentsChapter 1: Proximity ServiceChapter 2: Nearby FriendsChapter 3: Google MapsChapter 4: Distributed Message QueueChapter 5: Metrics MonitoringChapter 6: Ad Click Event AggregationChapter 7: Hotel ReservationChapter 8: Distributed Email ServiceChapter 9: S3-like Object StorageChapter 10: Real-time Gaming LeaderboardChapter 11: Payment SystemChapter 12: Digital WalletChapter 13: Stock Exchange Read more

I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE?189 programming interview questions, ranging from the basics to the trickiest algorithm problems.A walk-through of how to derive each solution, so that you can learn how to get there yourself.Hints on how to solve each of the 189 questions, just like what you would get in a real interview.Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen.Extensive coverage of essential topics, such as big O time, data structures, and core algorithms.A behind the scenes look at how top companies like Google and Facebook hire developers.Techniques to prepare for and ace the soft side of the interview: behavioral questions.For interviewers and companies: details on what makes a good interview question and hiring process.Illustrations noteIllustrations: Illustrations, black and white Read more

Learn how to code while you write programs that effortlessly perform useful feats of automation!The second edition of this international fan favorite includes a brand-new chapter on input validation, Gmail and Google Sheets automations, tips for updating CSV files, and more.If you've ever spent hours renaming files or updating spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? Automate the Boring Stuff with Python, 2nd Edition teaches even the technically uninclined how to write programs that do in minutes what would take hours to do by hand—no prior coding experience required!This new, fully revised edition of Al Sweigart’s bestselling Pythonic classic, Automate the Boring Stuff with Python, covers all the basics of Python 3 while exploring its rich library of modules for performing specific tasks, like scraping data off the Web, filling out forms, renaming files, organizing folders, sending email responses, and merging, splitting, or encrypting PDFs. There’s also a brand-new chapter on input validation, tutorials on automating Gmail and Google Sheets, tips on automatically updating CSV files, and other recent feats of automations that improve your efficiency.Detailed, step-by-step instructions walk you through each program, allowing you to create useful tools as you build out your programming skills, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Boring tasks no longer have to take to get through—and neither does learning Python! Read more

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This book addresses the topic of software design: how to decompose complex software systems into modules (such as classes and methods) that can be implemented relatively independently. The book first introduces the fundamental problem in software design, which is managing complexity. It then discusses philosophical issues about how to approach the software design process and it presents a collection of design principles to apply during software design. The book also introduces a set of red flags that identify design problems. You can apply the ideas in this book to minimize the complexity of large software systems, so that you can write software more quickly and cheaply. Read more

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The classic guide to how computers work, updated with new chapters and interactive graphics"For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think."- Scott Hanselman, Partner Program Director, Microsoft, and host of HanselminutesComputers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating?For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include:Chapter 18: Let's Build a Clock!Chapter 21: The Arithmetic Logic UnitChapter 22: Registers and BussesChapter 23: CPU Control SignalsChapter 24: Jumps, Loops, and CallsChapter 28: The World BrainFrom the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. Read more

Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager.From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a New manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization.Begin by exploring what you expect from a managerUnderstand what it takes to be a good mentor, and a good tech leadLearn how to manage individual members while remaining focused on the entire teamUnderstand how to manage yourself and avoid common pitfalls that challenge many leadersManage multiple teams and learn how to manage managersLearn how to build and bootstrap a unifying culture in teams. Read more

"We strongly recommend this book to anyone involved in a digital transformation for solid guidance about what works, what doesn't work, and what doesn't matter." ―Tom and Mary Poppendieck, authors of the Lean Software Development Series"A must-read! In a sea of books about technology approaches, Accelerate stands out in its clarity and practicality." ―Karen Martin, author of Clarity First and The Outstanding OrganizationWinner of the Shingo Publication AwardAccelerate your organization to win in the marketplace.How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations.Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance. This book is ideal for management at every level."This is the kind of foresight that CEOs, CFOs, and CIOs desperately need if their company is going to survive in this new software-centric world. Anyone that doesn't read this book will be replaced by someone that has." ―Thomas A. Limoncelli, coauthor of The Practice of Cloud System Administration Read more

For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well--or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills. This in-depth book shows you how to understand your role, manage your time, master strategic thinking, and set the standard for technical work. You'll read about how to be a leader without direct authority, how to plan ahead to make the right technical decisions, and how to make everyone around you better, while still growing as an expert in your domain. By exploring the three pillars of a staff engineer's job, Tanya Reilly, a veteran of the staff engineer track, shows you how to: Take a broad, strategic view when thinking about your work Dive into practical tactics for making projects succeed Determine what "good engineering" means in your organization Read more

Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”)By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them.Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects.Learn what software architects need to achieve–and core disciplines and practices for achieving itMaster essential software design principles for addressing function, component separation, and data managementSee how programming paradigms impose discipline by restricting what developers can doUnderstand what’s critically important and what’s merely a “detail”Implement optimal, high-level structures for web, database, thick-client, console, and embedded applicationsDefine appropriate boundaries and layers, and organize components and servicesSee why designs and architectures go wrong, and how to prevent (or fix) these failuresClean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. Read more

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management. Over the past few years, we've seen a flurry of books unlocking the engineering management career path, like Camille Fournier's The Manager's Path, Julie Zhuo's The Making of a Manager, Lara Hogan's Resilient Management, and even my own An Elegant Puzzle. The engineering management career isn't an easy one, but there are maps available to help navigate it. What if you want to advance your career without becoming an engineering manager? The technical leadership path remains relatively undocumented, hard to navigate, and inconsistent across companies. Staff Engineer is your guide to building your career towards a Staff engineering role, receiving the title, and succeeding within the role. Read more

With over 50,000 copies sold, The Rust Programming Language is the quintessential guide to programming in Rust. Thoroughly updated to Rust’s latest version, this edition is considered the language’s official documentation.The Rust Programming Language "covers everything you could want to know about the language."—Stack OverflowRust has been repeatedly voted "Most Loved Language" on the StackOverflow Developer Survey.The Rust Programming Language, 2nd Edition is the official guide to Rust 2021: an open source systems programming language that will help you write faster, more reliable software. Rust provides control of low-level details along with high-level ergonomics, allowing you to improve productivity and eliminate the hassle traditionally associated with low-level languages.Klabnik and Nichols, alumni of the Rust Core Team, share their knowledge to help you get the most out of Rust’s features so that you can create robust and scalable programs. You’ll begin with basics like creating functions, choosing data types, and binding variables, then move on to more advanced concepts, such as:Ownership and borrowing, lifetimes, generics, traits, and trait objects to communicate your program’s constraints to the compilerSmart pointers and multithreading, and how ownership interacts with them to enable fearless concurrencyHow to use Cargo, Rust’s built-in package manager, to build, document your code, and manage dependenciesThe best ways to test, handle errors, refactor, and take advantage of expressive pattern matchingIn addition to the countless code examples, you’ll find three chapters dedicated to building complete projects: a number-guessing game, a Rust implementation of a command line tool, and a multithreaded server. Read more

Master Minecraft Commands: From Beginner to ExpertThis book is the definitive guide to mastering commands in Minecraft. Designed for players of all skill levels, it provides step-by-step instructions to unlock the game’s full potential. Learn how to manipulate the world, automate tasks, customize items, and create advanced systems using Redstone and commands.With practical examples, advanced tips, and creative applications, this guide empowers you to build massive structures, design custom gameplay mechanics, and manage multiplayer servers effortlessly. Whether you're a casual player, an aspiring builder, or a seasoned server administrator, Master Minecraft Commands is your ultimate companion for creativity and control in Minecraft.Discover a new layer of gameplay—your imagination is the only limit! Read more

Don't waste time bending Python to fit patterns you've learned in other languages. Python's simplicity lets you become productive quickly, but often this means you aren't using everything the language has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python's core language features and libraries and teaches you how to make your code shorter, faster, and more readable. Complete with major updates throughout, this new edition features five parts that work as five short books within the book: Data structures: Sequences, dicts, sets, Unicode, and data classes Functions as objects: First-class functions, related design patterns, and type hints in function declarations Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, protocols, and more static types Control flow: Context managers, generators, coroutines, async/await, and thread/process pools Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that replace or simplify metaclasses Read more

Grokking Algorithms is a friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Learning about algorithms doesn't have to be boring!An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.Contents include:Introduction to algorithmsSelection sortRecursionQuicksortHash tablesBreadth-first searchDijkstra's algorithmGreedy algorithmsDynamic programmingK-nearest neighbors This accessible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.Aditya Bhargava is a software engineer with a dual background in computer science and fine arts. He blogs on programming at adit.io.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more

Few books on software project management have been as influential and timeless as The Mythical Man-Month. With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system. Now, 20 years after the initial publication of his book, Brooks has revisited his original ideas and added new thoughts and advice, both for readers already familiar with his work and for readers discovering it for the first time.The added chapters contain (1) a crisp condensation of all the propositions asserted in the original book, including Brooks' central argument in The Mythical Man-Month: that large programming projects suffer management problems different from small ones due to the division of labor; that the conceptual integrity of the product is therefore critical; and that it is difficult but possible to achieve this unity; (2) Brooks' view of these propositions a generation later; (3) a reprint of his classic 1986 paper "No Silver Bullet"; and (4) today's thoughts on the 1986 assertion, "There will be no silver bullet within ten years." Read more

"Eric Evans has written a fantastic book on how you can make the design of your software match your mental model of the problem domain you are addressing. "His book is very compatible with XP. It is not about drawing pictures of a domain; it is about how you think of it, the language you use to talk about it, and how you organize your software to reflect your improving understanding of it. Eric thinks that learning about your problem domain is as likely to happen at the end of your project as at the beginning, and so refactoring is a big part of his technique. "The book is a fun read. Eric has lots of interesting stories, and he has a way with words. I see this book as essential reading for software developers--it is a future classic." --Ralph Johnson, author of Design Patterns "If you don't think you are getting value from your investment in object-oriented programming, this book will tell you what you've forgotten to do. "Eric Evans convincingly argues for the importance of domain modeling as the central focus of development and provides a solid framework and set of techniques for accomplishing it. This is timeless wisdom, and will hold up long after the methodologies du jour have gone out of fashion." --Dave Collins, author of Designing Object-Oriented User Interfaces "Eric weaves real-world experience modeling--and building--business applications into a practical, useful book. Written from the perspective of a trusted practitioner, Eric's descriptions of ubiquitous language, the benefits of sharing models with users, object life-cycle management, logical and physical application structuring, and the process and results of deep refactoring are major contributions to our field." --Luke Hohmann, author of Beyond Software Architecture "This book belongs on the shelf of every thoughtful software developer." --Kent Beck "What Eric has managed to capture is a part of the design process that experienced object designers have always used, but that we have been singularly unsuccessful as a group in conveying to the rest of the industry. We've given away bits and pieces of this knowledge...but we've never organized and systematized the principles of building domain logic. This book is important." --Kyle Brown, author of Enterprise Java(TM) Programming with IBM(R) WebSphere(R) The software development community widely acknowledges that domain modeling is central to software design. Through domain models, software developers are able to express rich functionality and translate it into a software implementation that truly serves the needs of its users. But despite its obvious importance, there are few practical resources that explain how to incorporate effective domain modeling into the software development process. Domain-Driven Design fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development. Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis--refactoring not just the code but the model underlying the code--in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. Domain-Driven Design then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include:Getting all team members to speak the same language Connecting model and implementation more deeply Sharpening key distinctions in a model Managing the lifecycle of a domain object Writing domain code that is safe to combine in elaborate ways Making complex code obvious and predictable Formulating a domain vision statement Distilling the core of a complex domain Digging out implicit concepts needed in the model Applying analysis patterns Relating design patterns to the model Maintaining model integrity in a large system Dealing with coexisting models on the same project Organizing systems with large-scale structures Recognizing and responding to modeling breakthroughs With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations. Read more

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. Youâ??ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, youâ??ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills Read more