100 Go Mistakes And How To Avoid Them Github


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100 Go Mistakes and How to Avoid Them


100 Go Mistakes and How to Avoid Them

Author: Teiva Harsanyi

language: en

Publisher: Simon and Schuster

Release Date: 2022-10-18


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Spot errors in your Go code you didn’t even know you were making and boost your productivity by avoiding common mistakes and pitfalls. 100 Go Mistakes and How to Avoid Them shows you how to: Dodge the most common mistakes made by Go developers Structure and organize your Go application Handle data and control structures efficiently Deal with errors in an idiomatic manner Improve your concurrency skills Optimize your code Make your application production-ready and improve testing quality 100 Go Mistakes and How to Avoid Them puts a spotlight on common errors in Go code you might not even know you’re making. You’ll explore key areas of the language such as concurrency, testing, data structures, and more—and learn how to avoid and fix mistakes in your own projects. As you go, you’ll navigate the tricky bits of handling JSON data and HTTP services, discover best practices for Go code organization, and learn how to use slices efficiently. About the technology Understanding mistakes is the best way to improve the quality of your code. This unique book examines 100 bugs and inefficiencies common to Go applications, along with tips and techniques to avoid making them in your own projects. About the book 100 Go Mistakes and How to Avoid Them shows you how to replace common programming problems in Go with idiomatic, expressive code. In it, you’ll explore dozens of interesting examples and case studies as you learn to spot mistakes that might appear in your own applications. Expert author Teiva Harsanyi organizes the error avoidance techniques into convenient categories, ranging from types and strings to concurrency and testing. What's inside Identify and squash code-level bugs Avoid problems with application structure and design Perfect your data and control structures Optimize your code by eliminating inefficiencies About the reader For developers proficient with Go programming and syntax. About the author Teiva Harsanyi is a senior software engineer at Docker with experience in various domains, including safety-critical industries like air traffic management. Table of Contents 1 Go: Simple to learn but hard to master 2 Code and project organization 3 Data types 4 Control structures 5 Strings 6 Functions and methods 7 Error management 8 Concurrency: Foundations 9 Concurrency: Practice 10 The standard library 11 Testing 12 Optimizations

100 Java Mistakes and How to Avoid Them


100 Java Mistakes and How to Avoid Them

Author: Tagir Valeev

language: en

Publisher: Simon and Schuster

Release Date: 2024-05-28


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Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code. Whenever you make a mistake writing Java, it’s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you’ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Inside 100 Java Mistakes and How To Avoid Them you will learn how to: Write better Java programs Recognize common mistakes during programming Create fewer bugs and save time for debugging and testing Get help from static analyzers during programming Configure static analysis tools to reduce the number of false reports Extend static analysis tools with custom plugins Each Java mistake in this handy guide comes with an illustrative code sample, an explanation of why the mistake occurs, and an actionable “ways to avoid this” section to help you dodge the error. Plus, you’ll benefit from useful static analysis sidebars that let you know when mistakes will—and won’t—be spotted by static analysis tools. Foreword by Cay Horstmann. About the technology Minor bugs in development can become major problems in production. It’s much better to spot and fix your mistakes before they get that far! This one-of-a-kind book shines a light on the most common Java slip-ups and shows you exactly how to avoid making them in the first place. About the book 100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors—from beginner missteps to mistakes even Java experts don’t know they’re making. Each case includes clear examples to show you what to look for and concrete troubleshooting advice. You’ll learn to use static analysis tools like IntelliJ IDEA and SonarLint to ensure you’re consistently delivering exceptional Java, discover how unit tests and defensive coding can keep your code clean, and even learn to write your own bug-busting plugins. What's inside Recognize bugs and antipatterns during programming Highly-effective debugging and testing Get help from static analyzers About the reader For Java developers of all skill levels. About the author Tagir Valeev is a technical lead in JetBrains and a Java Champion. He designed and developed many code inspections for IntelliJ IDEA built-in static analyzer. The technical editor on this book was Jean-François Morin. Table of Contents 1 Managing code quality 2 Expressions 3 Program structure 4 Numbers 5 Common exceptions 6 Strings 7 Comparing objects 8 Collections and maps 9 Library methods 10 Unit testing A Static analysis annotations B Extending static analysis tools

100 SQL Server Mistakes and How to Avoid Them


100 SQL Server Mistakes and How to Avoid Them

Author: Peter Carter

language: en

Publisher: Simon and Schuster

Release Date: 2024-12-31


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All the mistakes you might make with SQL Server—and how to avoid them! 100 SQL Server Mistakes and How to Avoid Them prepares you for the pitfalls database professionals often encounter—from administration to development, availability, and security. You'll learn to sidestep common errors that slow down your T-SQL code and ensure your SQL Server is installed and configured to handle anything your organization throws at it. Inside 100 SQL Server Mistakes and How to Avoid Them you'll learn to avoid: • Development errors when writing T-SQL • Installation and administration mistakes • Optimization missteps • Common pitfalls relating to high availability and disaster recovery (HA/DR) • Security oversights that can endanger your data 100 SQL Server Mistakes and How to Avoid Them doesn't focus on the "happy path"—instead, it covers all the errors and problems you might face as a SQL Server developer or administrator. Each chapter is filled with real-world issues drawn from author Peter A. Carter’s two-decade-long career in SQL Server. Peter's seasoned advice helps dispel myths, debunk misconceptions, and set you on the right road. About the technology Perfecting a SQL Server system can be a complex balancing act. Why is T-SQL running so slowly? Is the right data available? Are we protected against data theft? What about that new server instance I need to administer? Even the most skilled SQL Server experts make mistakes that cost time and performance. This book can help you get it right the first time. About the book 100 SQL Server Mistakes and How to Avoid Them focuses exclusively on the errors that you might—and probably will—make as a SQL Server admin or developer. Real-world examples, code samples, and helpful diagrams make it easy to understand each issue and its solution. You’ll learn how to write performant code, design efficient database schemas, implement error handling, work with complex data types, and much more, all in a friendly, common-sense problem/solution format. What's inside • T-SQL development • Installation, administration, and optimization • High availability and security About the reader Readers need to understand basic SQL Server concepts and SQL queries. Perfect for junior database admins, full-stack developers, and “accidental” DBAs. About the author Peter A. Carter is a SQL Server expert with experience developing, administering, and architecting data-tier applications and SQL Server platforms. Table of Contents 1 Introducing SQL Server 2 Development standards 3 Data types 4 Database design 5 T-SQL development 6 SSIS development 7 Error handling, testing, source control, and deployment 8 SQL Server installation 9 Instance and database management 10 Optimization 11 Indexes 12 Backups 13 Availability 14 Security