Python Standard Library
An extremely handy programmer's standard library reference that is as durable as it is portable. This 6 page laminated guide includes essential script modules used by developers of all skill levels to simplify the process of programming in Python. This guide is all script and is organized to find needed script quickly. As with QuickStudy reference on any subject, with continued reference, the format lends itself to memorization. Beginning students or seasoned programmers will find this tool a perfect go-to for the at-a-glance script answer and memory jog you might need. At this price and for the bank of script included it's an easy add to your programmer's toolbox.6 page laminated guide includes: General FunctionalityDate/Time ProcessingOS ModuleFile OperationsProcess ControlEnvironment Variables & System InfoProperties of the DirEntry Class: Use DirEntry_Instance.xThe pathlib Module: Use pathlib.xProperties of the Purepath Class: PurePath_Instance.xProcess & Thread ManagementDebugging FunctionalityPDB ModuleDebugging for the PDB ModuleMathematic and Numeric OperationsMath ModuleIterable and Iterator OperationsCollections ModuleClasses of the Collections ModuleItertools Module
Ultimate Deno for Web Development
Master Modern Web App Development with Deno, TypeScript, and Rust Book DescriptionDeno is a modern, secure runtime for JavaScript and TypeScript, offering developers a simplified, efficient way to build high-performance web applications with built-in tooling and a robust standard library. In Ultimate Deno for Web Development, you'll dive deep into the Deno ecosystem-from setting up the runtime and understanding its architecture to mastering TypeScript, integrating Rust modules, and leveraging Deno's security-first execution model. You'll progressively build full-stack applications using modern tools like React, Next.js, and Visual Studio Code, while learning to manage dependencies with Chocolatey and deploy seamlessly with Docker and Microsoft Azure. Real-world examples guide you through creating RESTful APIs, managing users, implementing robust testing strategies, and preparing your applications for production. Each chapter builds upon the last, ensuring a seamless learning journey from fundamentals to deployment. Whether you're a student, freelancer, or professional developer, this book equips you to harness Deno's full potential and build secure, scalable web applications with confidence. Don't get left behind-step into the future of web development with Deno today. Table of Contents1. Introduction to Deno-Based Web Development2. The Deno Toolchain Ecosystem, Components, and Architecture3. TypeScript, JavaScript, and Rust4. Introduction to Node.js and Deno versus Node.js5. Using Visual Studio Code6. Standard Library, Rust, and LSP7. The Stateful of Web Frameworks on Deno8. React, HTML, and Next.js9. Using Microsoft Azure with Deno10. Deno Web Development Using Chocolatey11. Adding Users and Migrating to Oak12. Testing in Deno13. Web (HTTP) Server14. Deploying Deno Applications, Websites and Projects Index
Optimum - Python Power - Series III - Unleashing the Potential of Data Science with Libraries
In the ever-evolving field of data science, Python libraries are indispensable tools, offering robust capabilities to streamline complex processes and solve real-world challenges. Whether you're diving into data manipulation, performing statistical analysis, exploring machine learning, or crafting insightful visualizations, these libraries are the backbone of modern data science workflows.What's InsideFoundations of Data Science: Start your journey with the core principles, building a strong base using the Python Standard Library to kickstart your data-driven projects.Numerical Computing with NumPy: Gain efficiency in handling arrays, executing mathematical operations, and solving linear algebra problems seamlessly.Data Manipulation with Pandas: Master the art of managing structured data, cleaning and preprocessing datasets, and conducting exploratory data analysis to uncover hidden insights.Data Visualization with Matplotlib and Seaborn: Learn to create compelling plots, charts, and graphs that effectively communicate your data-driven findings.Scientific Computing with SciPy: Explore a comprehensive toolkit for scientific and mathematical computations, enabling more in-depth analysis.Machine Learning with Scikit-learn: Step into the realm of predictive modelling and machine learning, applying cutting-edge techniques to real-world data.This book is tailored to help you think critically and solve real-world data challenges, making it an invaluable resource on your journey to becoming a proficient data scientist.
Laravel 11 Cookbook
This book is packed with hands-on recipes that will empower you to overcome any real-world challenge you face when building, debugging, and deploying Laravel applications. There are so many advanced routing and controller patterns to explore, from dynamic URL parameters to resource controllers and custom JSON APIs. You'll be amazed at how your application responds precisely to user requests.You'll implement Laravel Breeze for user authentication, craft RBAC with middleware, add social logins via Socialite, and enforce two-factor authentication with Fortify against unauthorized access. With server-side validation, you can create custom validation rules with clear feedback, centralize exception handling, and set up real-time error monitoring with Laravel Pulse. You'll also learn to automate critical workflows-configuring queue drivers and background jobs, retrying failed tasks, scheduling recurring operations, and backing up databases and media. Once you do, you'll be able to automate analytical reporting, from custom shell scripts to scheduled generation of performance-insight summaries. And you'll tie it all into Laravel's Scheduler and Linux cron.In this book, you'll find ready-to-use solutions to the scenarios you face day to day. Whether you're dealing with broken migrations, N+1 queries, authentication gaps, missing alerts, or sluggish jobs, this book has you covered. It addresses the most common pain points in Laravel development without claiming to cover every possible edge case. Instead, it gives you proven recipes that let you focus on building features, confident that you have reliable fixes at your fingertips.Key LearningsAchieve mastery of the Linux-based Laravel setup: Let's dive into the world of PHP installation, Composer, file permissions, and IDE configuration!Build dynamic routes, resource controllers, and Blade views for robust request handling.Protect your applications with Breeze authentication, role-based middleware, Socialite logins, and two-factor auth.Discover the magic of Eloquent models, one-to-many and many-to-many relationships, migrations, and seed realistic test data.Optimize database performance using eager loading, selective column queries, and proper indexing strategies.Take advantage of server-side validation, custom rules, and centralized exception handling for unparalleled data integrity.Keep an eye on errors in real time with the amazing Laravel Pulse, Debugbar, and Telescope dashboards.Offload your heavy tasks with ease using job queues, retry strategies, and Laravel Scheduler automation.Securely store, process, resize, and stream media using Laravel filesystem and Intervention Image.Automate backups, generate analytical reports, and integrate custom shell scripts with Laravel commands.Table of ContentSetting up PHP and Laravel EnvironmentAdvanced Routing, Controllers, and Blade ViewsAuthentication and Authorization PracticesDatabase Models, Migrations, and Query OptimizationRobust Data Validation and Error ManagementAlerts, Notifications, and Performance MonitoringJob Queues and Background ProcessesFile Storage, Media Management, and ProcessingScheduling, Automation, and Backup Tasks
Data Structure Using C
Data Structures is a central module in the curriculum of almost every Computer Science programme. This book explains different concepts of data structures using C. The topics discuss the theoretical basis of data structures as well as their applied aspects.
Family Law
Family law is one of the most essential branches of legal studies, governing the relationships between individuals in matters such as marriage, divorce, child custody, adoption, and inheritance. It plays a crucial role in ensuring the rights and responsibilities of family members are protected, resolving disputes, and maintaining harmony within society. Given its importance, a clear understanding of family law terminology is necessary for legal professionals, students, and individuals involved in legal proceedings.This book, Family Law, serves as a comprehensive dictionary providing key legal terms used in family law, accompanied by their Uzbek translations, English definitions, and practical sentence examples. It is designed to help legal practitioners, scholars, and students navigate the complexities of family law with ease and confidence. Whether you are a lawyer handling family-related cases, a student studying law, or an individual seeking clarity on legal matters, this book will provide you with the essential knowledge needed to understand and use family law terminology effectively.
What Every Engineer Should Know about Python
Engineers across all disciplines can benefit from learning Python. This powerful programming language enables engineers to enhance their skill sets and perform more sophisticated work in less time, whether in engineering analysis, system design and development, integration and testing, machine learning and other artificial intelligence applications, project management, or other areas. What Every Engineer Should Know About Python offers students and practicing engineers a straightforward and practical introduction to Python for technical programming and broader uses to enhance productivity. It focuses on the core features of Python most relevant to engineering tasks, avoids computer science jargon, and emphasizes writing useful software while effectively leveraging generative AI. Features examples tied to real-world engineering scenarios that are easily adapted Explains how to leverage the vast ecosystem of open-source Python packages for scientific applications, rather than developing new software from scratch Covers the incorporation of Python into engineering designs and systems, whether web-based, desktop, or embedded Provides guidance on optimizing generative AI with Python, including case study examples Describes software tool environments and development practices for the rapid creation of high-quality software Demonstrates how Python can improve personal and organizational productivity through workflow automation Directs readers to further resources for exploring advanced Python features This practical and concise book serves as a self-contained introduction for engineers and readers from scientific disciplines who are new to programming or to Python.
ESRI Advanced Guide to Python in ArcGIS
Solving complex geospatial problems and delivering solutions has never been easier.Ready to take your Python knowledge to the next level? Esri Advanced Guide to Python in ArcGIS guides working GIS professionals through integrating Python with ArcGIS capabilities with increasing complexity through each consecutive chapter. Every chapter includes a project that teaches technical skills and problem-solving applicable to practical, job-focused assignments, including understanding client needs, performing market analytics, and managing ArcGIS Online organizations. Esri Advanced Guide to Python in ArcGIS uses step-by-step tutorials with an informal, conversational style of writing so you can easily follow and immediately apply the skills explained. Topics include: Designing effective GIS Python solutions ArcPy and ArcGIS API for Python basics Using imagery and GeoAI for advanced analysis Object-oriented programming Delivering work in various formats: Python scripts, Jupyter Notebook, ArcGIS Pro tools, geoprocessing services, and web applications Data engineering and manipulation techniques Managing ArcGIS Enterprise, ArcGIS Online, and other portal administration Perfect for intermediate to advanced programmers looking to enhance their GIS capabilities, Esri Advanced Guide to Python in ArcGIS will quickly help you become skilled at using Python for geospatial solutions and become more proficient and capable in your work.
Tamil Computing
This book aims to outline current Tamil Computing technologies available around us in the present context to all participants like students, academicians, researchers and others who are interested in this field. Most of the books available in the market deal with Natural Language Processing, specifically English Language Processing. Therefore, the author hopes this book will be of utmost use to the undergraduate, postgraduate and researchers.This book provides an overall picture of Tamil Computing, covering different aspects. Specifically, starting with the basics of Tamil, Tamil Computing, Coding standards, fonts, keyboards, issues related to it, morphology, phonology, syntax, semantics and pragmatics of Tamil, Tools and resources and applications of Tamil Computing in detail.The purpose of this book is also to give an insight into Tamil Handwritten character recognition and Speech processing in detail. Automatic Speech Recognition in one of the critical issues in any language. Recognizing handwritten characters using a machine is necessary in today's modern world. A computer system should be intelligent enough to receive and interpret the handwritten input. These two aspects are explained in detail.This book elaborates on the existing corporate packages like MS-Office and its usage in Tamil, Database Processing and open Tamil. The book also explains input-outputting methods in detail with simple python programs. The use of the MS Windows Operating System is widespread worldwide in different languages. This book describes the practices of customization of MS Windows software for Tamil. Usage of the MS Windows Operating System is famous worldwide in other languages. This book has also added details concerning Indic Libraries and Large Language Models.
Accelerated Linux Disassembly, Reconstruction and Reversing
The book contains the full transcript of Software Diagnostics Services training. Learn disassembly, execution history reconstruction, and binary reversing techniques for better software diagnostics, troubleshooting, debugging, memory forensics, vulnerability, and malware analysis on x64 (x86_64) and A64 (ARM64, AArch64) Linux platforms. The course uses a unique and innovative pattern language approach to speed up the learning curve. The training consists of practical step-by-step, hands-on exercises using GDB and Linux core memory dumps. Covered more than 25 ADDR patterns originally introduced for the x64 Windows platform, and many concepts are illustrated with Memory Cell Diagrams. The prerequisites for this training are a working knowledge of C and C++ programming languages. Operating system internals and assembly language concepts are explained when necessary. The primary audience for this training is software technical support and escalation engineers who analyze memory dumps from complex software environments and need to go deeper in their analysis of abnormal software structure and behavior. The course is also useful for software engineers, quality assurance, and software maintenance engineers who debug software running on diverse cloud and endpoint computer environments, SRE and DevSecOps, security and vulnerability researchers, and malware and memory forensics analysts who have never used GDB for analysis of computer memory. The book also features ADDR pattern descriptions summarized after each exercise. The second edition includes a review of relevant assembly language fundamentals and relevant differences between GCC and Clang.
The CMake Tutorial
Shortcut Your Path to Building C++ Code like a Pro Programmers know that horrible feeling. You're trying to achieve something that should be simple, and simply cannot figure out how to do it. Hours turn into days, and then finally you find the solution. And yes, that solution was simple. Big sigh of relief! That was me with CMake. Time and time again. CMake is a powerful build tool for C/C++, but can be an absolute pain to use. Scouring the internet for hours each time you need to modify your CMakelists.txt file is hard work. Even worse, you often end up learning the "wrong" (old) way of doing things. There are plenty of old and downright bad CMake tutorials and examples out there... It'll Save You Days (and possibly Months) I've taken everything I learnt, and distilled it down to the essentials. The "Learn Modern CMake by Example" book/course will save you days (and possibly months) of time and frustration, by teaching you the correct (modern) ways to perform the most common build tasks. It's the book/course that I wish I had when I was learning how to use CMake. Deliberately Short & Focused on Results The CMake Tutorial is deliberately short, and focused sharply on making CMake do what you need it to. It doesn't cover every nook and cranny (of CMake), nor does it bog you down with endless theory and backstory. Your time is valuable, so it's designed to get you up and running quickly. No drowning you with details on every single CMake feature (that's what the official documentation is for). It's got only the bits you're most likely to need, which have been organized for fast learning. Learn Without Breaking the Bank A CMake course could set you back $1350 USD. Yes, it's a valuable skill. The CMake Tutorial won't cost you anywhere near as much. Not even half! I know you won't be making the big bucks at the start of your career, and I also know what it's like to be scratching out a living. So, The CMake Tutorial has been priced so it's affordable to those who are getting started. What You'll Learn in The CMake Tutorial - CMakelists.txt files & how CMake works - Compiling multiple source files into one program - Using third-party libraries - Using non-CMake third-party libraries - Using pre-compiled third-party libraries - Choosing the C++ standard version, and other settings - Setting per-compiler flags - Creating static and dynamic libraries - Compiling debug and release versions - Tackling larger projects (multi-directory)
The Object-Oriented Approach to Problem Solving and Machine Learning with Python
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn't stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You'll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
The Object-Oriented Approach to Problem Solving and Machine Learning with Python
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn't stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You'll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
Data Structures Implementation Through JAVA
Data Structures gives us complete information about how to store data, delete or insert. We come to know where to use array and where linked list. There is big role of stack and queue to insert and delete data in different modes. It's a way to discover the ideas about searching and sorting mechanisms. We need to know how to create a tree how to traverse, delete or move to another place. Now this book goal is different we all know about the mechanisms. But here we are applying all those concepts through a object oriented programming language, JAVA. This book will be essential who want to write code in JAVA.
C++ Memory Management
Harness the power of C++ to build smaller, faster, safer, and more predictable programs using the latest techniques and best practices to optimize performance and ensure reliability in your software development projectsKey Features: - Use contemporary C++ features to enhance code safety and reliability- Develop a deeper understanding of memory management mechanisms in C++- Write programs that adapt to the constraints of your chosen architecture or platform- Purchase of the print or Kindle book includes a free PDF eBookBook Description: C++ programmers often face challenges in allocating and managing memory efficiently, especially given the diverse needs of real-time systems, embedded systems, games, and conventional desktop applications. This book offers a targeted approach to address the unique memory constraints of each domain.Written by an ISO C++ Standards Committee member, Patrice Roy, this guide covers fundamental concepts of object lifetime and memory organization to help you write simpler and safer programs. You'll learn how to control memory allocation mechanisms, create custom containers and allocators, and adapt allocation operators to suit your specific requirements, making your programs smaller, faster, safer, and more predictable.Starting with core principles of memory management, this book introduces modern facilities that simplify your work and then dives into memory management mechanics, building solutions for specific application needs, and measuring their impact on your program's behavior.By the end of this book, you'll be able to write secure programs that handle memory optimally for your application domain. You will also have a strong grasp of both high-level abstractions for safer programs and low-level abstractions that allow detailed customization.What You Will Learn: - Master the C++ object model to write more efficient and maintainable code- Automate resource management to reduce manual errors and improve safety- Customize memory allocation operators to optimize performance for specific applications- Develop your own smart pointers to manage dynamic memory with greater control- Adapt allocation behavior to meet the unique needs of different data types- Create safe and fast containers to ensure optimal data handling in your programs- Utilize standard allocators to streamline memory management in your containersWho this book is for: This book is for programmers who find C++ memory management challenging yet want to master it. It's ideal for those seeking greater control over memory allocation to make their programs smaller, faster, and safer. Whether you're a seasoned C++ developer or transitioning from other languages, you'll gain insights into how C++ can enhance your programming. It's especially valuable if you're working in constrained environments, like embedded systems or game development. Prior experience with programming concepts, such as generic and concurrent programming, is helpful.Table of Contents- Objects, Pointers, and References- Things to Be Careful With- Casts and cv-qualifications- Using Destructors- Using Standard Smart Pointers- Writing Smart Pointers- Overloading Memory Allocation Operators- Writing a Na簿ve Leak Detector- Atypical Allocation Mechanisms- Arena-Based Memory Management and Other Optimizations- Deferred Reclamation- Writing Generic Containers with Explicit Memory Management- Writing Generic Containers with Implicit Memory Management- Writing Generic Containers with Allocator Support- Contemporary Issues- Annexure: Things You Should Know
Modern Concurrency in Java
Welcome to the future of Java. With this book, you'll explore the transformative world of Java 21's key feature: virtual threads. Remember struggling with the cost of thread creation, encountering limitations on scalability, and facing difficulties in achieving high throughput? Those days are over. This practical guide takes you from Java 1.0 to the cutting-edge advancements of Project Loom. You'll learn more than just theory. Author A N M Bazlur Rahman equips you with a toolkit for taking real-world action. Take a deep dive into the intricacies of virtual threads and complex topics such as ForkJoinPool, continuation, rate limiting, debugging, and monitoring. You'll not only learn how they work, but you'll also pick up expert tips and tricks to help you master these concepts. And you'll learn about structured concurrency and scoped values--critical skills for building Java applications that are scalable and efficient. Get an in-depth understanding of virtual threads Understand the implementation of virtual thread internals Gain performance improvement in blocking operations Learn why structured concurrency is beneficial Know where to use scoped value Understand the relevance of reactive Java with the advent of virtual threads A N M Bazlur Rahman is a software engineer with over a decade of experience in Java and related technologies. A speaker at various international conferences and Java user groups, his talks often focus on specialized topics such as concurrency and virtual threads.
Programming
Start Learning to Program in the C++ Language - In Just One Day! No matter what work you do with computers, there's no escaping the fact that you need to improve your programming skills.Have you ever come home after a long day at work wishing you were an expert programmer?Don't crash on the couch - get motivated and start learning C++ right away!C++ Programming: Programing Language for Beginners - Learn in a Day! explains why C++ is so useful and important in the programming world. Most operating systems, compilers, apps, drivers and a lot of other software are all written in C++. If you're a beginner you should choose this programming language first!Find out how to use variables, size changers, sign changers and other prefixes in your C++ code. Learn how to input and output data and write useful programs. Also, find out about the various kinds of operators, conditionals, loops, and arrays!Here's a preview of what you can learn from this helpful book: "An array is nothing more than a list of variables, all grouped together because they share common uses. It's more a way of keeping everything neat and tidy, as you can see from the following code: int a[5];It looks like a standard variable but note the use of square brackets. These brackets contain the size of the array that you want in your declaration, or the number of variables, in this case, 5 integer variables. Arrays can be whatever size you want them to be, provided your computer has the RAM to take it, but they can only have one type of variable in them at any one time."Download C++ Programming: Programing Language for Beginners - Learn in a Day! Find out about this essential computing language and stop wasting your money on expensive, time-consuming, and ineffective learning methods.
Android
#1 Best Seller! - Learn to Program Android Apps - in a Day! 2nd Edition What can this book do for you?Android: Programming Guide: Android App Development - Learn in a Day teaches you everything you need to become an Android App Developer from scratch. It explains how you can get started by installing Android Studio and learning to use the Android SDK Manager.Can you really create an app in just a day?Yes, you can! With Android: Programming Guide: Android App Development - Learn in a Day, you'll learn to create "OMG Andriod". This app is similar to the "Hello, World" program that many beginners create when learning new computer languages. Soon, you'll have your very own app that greets you by name!Can you create an app and try it out on your personal Android device?Absolutely! Android: Programming Guide: Android App Development - Learn in a Day teaches you to run your app on emulators and devices, and how to put personal touches on your app. You'll learn how to update your apps with the Android SDK Manager, use XML, and add buttons and listeners!There's so much you can learn from this essential book - order your copy TODAY!
Learning Python
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow self-paced tutorial gets you started with Python 3.12 and all other releases in use today. With a pragmatic focus on what you need to know, it also introduces some advanced language features that have become increasingly common in Python code. This book helps you: Explore Python's built-in object types such as strings, lists, dictionaries, and files Create and process objects with Python statements, and learn Python's syntax model Use functions and functional programming to avoid redundancy and maximize reuse Organize code into larger components with modules and packages Code robust programs with Python's exception handling and development tools Apply object-oriented programming and classes to make code customizable Survey advanced Python tools including decorators, descriptors, and metaclasses Write idiomatic Python code that runs portably across a wide variety of platforms
100 C++ Mistakes and How to Avoid Them
Learn how to handle errors, inefficiencies, and outdated paradigms by exploring the most common mistakes you'll find in production C++ code. C++ is a complex and powerful language. With an estimated ten billion lines of C++ code running in production, it's not hard to find bugs, inefficiencies, and other coding mistakes that slow and snarl even the most mission critical applications. 100 C++ Mistakes and How To Avoid Them reveals the problems you'll inevitably encounter as you write new C++ code and diagnose legacy applications, along with practical techniques you need to resolve them. Inside 100 C++ Mistakes and How To Avoid Them you'll learn how to: - Design solid classes - Minimize resource allocation/deallocation issues - Use new C++ features - Identify the differences between compile and runtime issues - Recognize C-style idioms that miss C++ functionality - Use exceptions well 100 C++ Mistakes and How To Avoid Them gives you practical insights and techniques to improve your C++ coding kung fu. Author Rich Yonts has been using C++ since its invention in the 1980s. This book distills that experience into practical, reusable advice on how C++ programmers at any skill level can improve their code. Unlike many C++ books that concentrate on language theory and toy exercises, this book is loaded with real examples from production codebases. About the book 100 C++ Mistakes and How To Avoid Them identifies the problems you'll find in legacy C++ codebases as well as in your own new programs. Author Rich Yonts provides a concrete example of each mistake and a step-by-step walkthrough of the correct code. You'll learn to consider each mistake from the standpoint of correctness, readability, effectiveness, and performance, and adopt modern programming techniques that can replace older, outdated approaches. About the reader Both beginning and experienced C++ programmers will benefit from these practical tips and advice. About the author Rich Yonts is a Senior Software Engineer at Teradata and a long-time software engineer using C++, Java, and Python. Rich held a number of technical and leadership roles during his many years at IBM and Sony. As an assistant professor, he has dealt with questions and issues of undergraduate and graduate students learning programming. He has deep experience on large code bases and considers himself both a student and a teacher of C++.
