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The Art of Readable Code
Chapter 5. Knowing What to Comment; What NOT to Comment; Don't Comment Just for the Sake of Commenting; Don't Comment Bad Names--Fix the Names Instead; Recording Your Thoughts; Include "Director Commentary"; Comment the Flaws in Your Code; Comment on Your Constants; Put Yourself in the Reader's Shoes; Anticipating Likely Questions; Advertising Likely Pitfalls; "Big Picture" Comments; Summary Comments; Final Thoughts--Getting Over Writer's Block; Summary; Chapter 6. Making Comments Precise and Compact; Keep Comments Compact; Avoid Ambiguous Pronouns; Polish Sloppy Sentences.
The Art of Readable Code
As programmers, we’ve all seen source code that’s so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they’re bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand it—even if that someone else is you. This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make yo...
Team Geek
In a perfect world, those who produce the best code are the most successful. But success also depends on how you work with people to get your job done. This book covers the basic patterns and anti-patterns for working with other people, teams, and users while trying to develop software. ... Writing software is a team sport, and human factors involved have as much influence on the outcome as technical factors. ...--From back cover.
Debugging Teams
In the course of their 20+-year engineering careers, authors Brian Fitzpatrick and Ben Collins-Sussman have picked up a treasure trove of wisdom and anecdotes about how successful teams work together. Their conclusion? Even among people who have spent decades learning the technical side of their jobs, most haven’t really focused on the human component. Learning to collaborate is just as important to success. If you invest in the "soft skills" of your job, you can have a much greater impact for the same amount of effort. The authors share their insights on how to lead a team effectively, navigate an organization, and build a healthy relationship with the users of your software. This is valuable information from two respected software engineers whose popular series of talks—including "Working with Poisonous People"—has attracted hundreds of thousands of followers.
Institutional Literacies
Information technologies have become an integral part of writing and communication courses, shaping the ways students and teachers think about and do their work. But, too often, teachers and other educational stakeholders take a passive or simply reactive role in institutional approaches to technologies, and this means they are missing out on the chance to make positive changes in their departments and on campus. Institutional Literacies argues that writing and communication teachers and program directors should collaborate more closely and engage more deeply with IT staff as technology projects are planned, implemented, and expanded. Teachers need to both analyze how their institutions appr...
The Software Engineer's Guidebook
In my first few years as a developer I assumed that hard work was all I needed. Then I was passed over for a promotion and my manager couldn’t give me feedback on what areas to improve, so I could get to the senior engineer level. I was frustrated; even bitter: not as much about missing the promotion, but because of the lack of guidance. By the time I became a manager, I was determined to support engineers reporting to me with the kind of feedback and support I wish I would have gotten years earlier. And I did. While my team tripled over the next two years, people became visibly better engineers, and this progression was clear from performance reviews and promotions. This book is a summary...
Effective Coding with VHDL
A guide to applying software design principles and coding practices to VHDL to improve the readability, maintainability, and quality of VHDL code. This book addresses an often-neglected aspect of the creation of VHDL designs. A VHDL description is also source code, and VHDL designers can use the best practices of software development to write high-quality code and to organize it in a design. This book presents this unique set of skills, teaching VHDL designers of all experience levels how to apply the best design principles and coding practices from the software world to the world of hardware. The concepts introduced here will help readers write code that is easier to understand and more lik...
DevOps Unleashed with Git and GitHub
Unlock the full potential of your team with Git mastery, seamless DevOps workflows, and the power of AI integration Key Features Gain a comprehensive understanding of Git, GitHub, and DevOps with practical implementation tips Embark on a holistic exploration of DevOps workflows, scaling, DevSecOps, and GitHub Copilot Discover the best practices for optimizing processes and team productivity Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGit and GitHub are absolutely crucial for DevOps, playing a multifaceted role in streamlining the software development lifecycle and enabling smoother collaboration between development and operations teams. DevOps Unleashed wit...
Learning Neo4j
This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
Codermetrics
How can you help your software team improve? This concise book introduces codermetrics, a clear and objective way to identify, analyze, and discuss the successes and failures of software engineers—not as part of a performance review, but as a way to make the team a more cohesive and productive unit. Experienced team builder Jonathan Alexander explains how codermetrics helps teams understand exactly what occurred during a project, and enables each coder to focus on specific improvements. Alexander presents a variety of simple and complex codermetrics, and teaches you how to create your own. Learn how codermetrics changes long-held assumptions and improves team dynamics Get recommendations for integrating codermetrics into existing processes Ask the right questions to determine the type of data you need to collect Use metrics to measure individual coder skills and a team’s effectiveness over time Identify the contributions each coder makes to the team Analyze the response to your software and its features—and verify that you're meeting team and organizational goals Build better teams, using codermetrics to make personnel adjustments and additions
