Implementing Effective Code Reviews

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Implementing Effective Code Reviews

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Author : Giuliana Carullo
language : en
Publisher: Apress
Release Date : 2020-09-04

Implementing Effective Code Reviews written by Giuliana Carullo and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-04 with Computers categories.

The ideal code review process differs from organization to organization, but the needs all boil down to the same foundational factors. A software development team cannot properly grow if its code reviews are not consistent, straightforward, and aspire to hit several company goals at once, such as security, performance, longevity, and more. Implementing Effective Code Reviews is the manual your team has been seeking. Author Giuliana Carullo uses her expert background to guide you through the basics of building and maintaining clean code, and she is known for distilling complex concepts into entertaining and easy-to-grasp lessons. Healthy code requires incremental improvements, and knowing how to execute this is essential for conducting effective reviews on your team. While complex and fancy code can be interesting to work with, it will not always achieve business goals or solve urgent problems. Good coding practices are at the heart of a high-performing team, and Carullo instills these core values in a simple, straight-forward way in Implementing Effective Code Reviews. Whether you are a passionate programmer looking to go the extra mile at the office, or an experienced software engineer seeking a guide to how to improve your leadership and code review process, this book covers it all. With each chapter wrapped up in a handy checklist of crucial takeaways, Carullo has created an essential handbook for coders everywhere. There are a lot of myths that dominate the programming landscape, and Implementing Effective Code Reviews grounds the process and gets to the heart of the matter. What You Will Learn Understand how to work with your team to implement effective code reviews Master good programming practices that will build healthy code Discover how you should tackle different complex areas during code review like, security and performance Who This Book Is For Passionate programmers willing to go the extra mile to be better at their jobs, new programmers looking to strengthen their programming skills, and experienced software engineers looking for a quick guide on how to review code

Best Kept Secrets Of Peer Code Review

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Author : Jason Cohen
language : en
Publisher:
Release Date : 2006

Best Kept Secrets Of Peer Code Review written by Jason Cohen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.

« Ten practical Essays from industry experts giving specific techniques for effective peer code review. »--

Code Reviews 101

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Author : Giuliana Carullo
language : en
Publisher: Giuliana Carullo
Release Date : 2019-03-13

Code Reviews 101 written by Giuliana Carullo and has been published by Giuliana Carullo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-13 with categories.

There is no perfect code, whilst too many ways to write bad code. Even clean code will start to smell over time. The more the functionalities, the complexity and the number of different programmers working on it will make it smell. Healthy code requires incremental improvements, and reviews to stay that way. Would you also like to make more money as a programmer by being better at it? Discover the job-changing experience that you need. Sure enough, you might perform long searches on the web to try to put it all together. But why should you waste your time when you can have 15+ years of experience condensed into a single book?You can continue doing what you are doing. But let's be frank, you won't have read up to this point if you wanted it. You are here because you believe you can have a better career by being a good programmer. It's very tough to self-learn without the shared experience and guidance provided in this book. This book will walk through different approaches, reasoning why they are good or bad, as well as providing some clarifying examples (mainly Python). The book is broken down into different areas ranging from design and good coding practices to performances and security. A checklist ends all the chapters to help you during the code review process of your projects. Don't read this book...if: We are not here to talk about theoretical mumbo jumbo. We are going to talk about practical guidance. And it is our duty - as professionals - to code in the best possible way. Is it not?! This book might not be right for you if: If you are looking for an entire encyclopedia on data structures, software architectures, and any possible software engineering facets: this book is not for you. Certain concepts in the book are in pills: it provides just the core information that can assist you in doing better choices. This book is not made to impress you, it is made to help you out. To be handy and on point. It is not a Python programming book. Nor a programming book per se either. It is meant to help in writing better code by looking at it from several angles. This book is not boring. If you are looking for endless mechanical chapters, wrong choice. Let's add some fun, life is too short. If your heart as a programmer is too sensible on how bad code can be, please stop. I care about you, seriously. Or at least, read with caution, don't stress too much: there are other wonderful things in the world! And if you get upset identifying bad things that you did... no worries every single programmer on earth has been there! This book is right for you...if: This book is aimed at people with at least some experience with programming in some sort of language: C, C++, Java, Python. It could be easier for Object Oriented programming cowboys and cowgirls to go through the book, but a lot of concepts discussed in the book are general enough to be the foundations of good coding. Some more advanced chapters - like concurrency and security - might require some more focus to make your own if you are fairly new to them. But, no worries, keep going, it will be rewarding and it will give you the right tools to be at the top of your game. Hence, this book is for: Passionate programmers willing to go the extra mile and be better at their jobs. You will be happier, better paid and with an easier life. People who just started to program: this book will power up your programming skills. It will avoid you all the avoidable errors. Software engineers of all kinds. Knowing a programming language is not enough to be good at it. And I am sure you are or you will be a really good one. More experienced IT people in search of a quick guide on how to review code. But at the end of the day, I hope you'll enjoy it!

Becoming A Better Programmer

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Author : Pete Goodliffe
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-10-03

Becoming A Better Programmer written by Pete Goodliffe and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-03 with Computers categories.

If you're passionate about programming and want to get better at it, you've come to the right source. Code Craft author Pete Goodliffe presents a collection of useful techniques and approaches to the art and craft of programming that will help boost your career and your well-being. The book's standalone chapters span the range of a software developer's life--dealing with code, learning the trade, and improving performance--with no language or industry bias.

Grokking Deep Learning

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Author : Andrew W. Trask
language : en
Publisher: Simon and Schuster
Release Date : 2019-01-23

Grokking Deep Learning written by Andrew W. Trask and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide

Implementation Patterns

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Author : Kent Beck
language : en
Publisher: Pearson Education
Release Date : 2007-10-23

Implementation Patterns written by Kent Beck and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Computers categories.

Software Expert Kent Beck Presents a Catalog of Patterns Infinitely Useful for Everyday Programming Great code doesn’t just function: it clearly and consistently communicates your intentions, allowing other programmers to understand your code, rely on it, and modify it with confidence. But great code doesn’t just happen. It is the outcome of hundreds of small but critical decisions programmers make every single day. Now, legendary software innovator Kent Beck—known worldwide for creating Extreme Programming and pioneering software patterns and test-driven development—focuses on these critical decisions, unearthing powerful “implementation patterns” for writing programs that are simpler, clearer, better organized, and more cost effective. Beck collects 77 patterns for handling everyday programming tasks and writing more readable code. This new collection of patterns addresses many aspects of development, including class, state, behavior, method, collections, frameworks, and more. He uses diagrams, stories, examples, and essays to engage the reader as he illuminates the patterns. You’ll find proven solutions for handling everything from naming variables to checking exceptions.

Effective Typescript

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Author : Dan Vanderkam
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-17

Effective Typescript written by Dan Vanderkam and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Computers categories.

TypeScript is a typed superset of JavaScript with the potential to solve many of the headaches for which JavaScript is famous. But TypeScript has a learning curve of its own, and understanding how to use it effectively can take time. This book guides you through 62 specific ways to improve your use of TypeScript. Author Dan Vanderkam, a principal software engineer at Sidewalk Labs, shows you how to apply these ideas, following the format popularized by Effective C++ and Effective Java (both from Addison-Wesley). You’ll advance from a beginning or intermediate user familiar with the basics to an advanced user who knows how to use the language well. Effective TypeScript is divided into eight chapters: Getting to Know TypeScript TypeScript’s Type System Type Inference Type Design Working with any Types Declarations and @types Writing and Running Your Code Migrating to TypeScript

Clean Code In Python

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Author : Mariano Anaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-29

Clean Code In Python written by Mariano Anaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.

Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. What you will learn Set up tools to effectively work in a development environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python Who this book is for This book will appeal to team leads, software architects and senior software engineers who would like to work on their legacy systems to save cost and improve efficiency. A strong understanding of Programming is assumed.

The Culture Code

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Author : Daniel Coyle
language : en
Publisher: Random House
Release Date : 2018-02-01

The Culture Code written by Daniel Coyle and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-01 with Business & Economics categories.

THE NEW YORK TIMES BESTSELLER 'A marvel of insight and practicality' Charles Duhigg, author of The Power of Habit ____________________________ How do you build and sustain a great team? The Culture Code reveals the secrets of some of the best teams in the world - from Pixar to Google to US Navy SEALs - explaining the three skills such groups have mastered in order to generate trust and a willingness to collaborate. Combining cutting-edge science, on-the-ground insight and practical ideas for action, it offers a roadmap for creating an environment where innovation flourishes, problems get solved, and expectations are exceeded. ____________________________ 'There are profound ideas on every single page, stories that will change the way you work, the way you lead, and the impact you have on the world. Highly recommended, an urgent read.' Seth Godin, author of Linchpin 'Truly brilliant . . . Read it immediately' Adam Grant, author of Originals 'Well told stories, with actionable lessons' Financial Times

Code Complete

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Author : Steve McConnell
language : en
Publisher: Pearson Education
Release Date : 2004-06-09

Code Complete written by Steve McConnell and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-09 with Computers categories.

Widely considered one of the best practical guides to programming, Steve McConnell’s original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices—and hundreds of new code samples—illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking—and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor—or evolve—code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project