検索キーワード： プログラミング・ソフトウェア開発

Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure.

Unlock the true power of Linux with Linux: From Installation to Advanced System Administration. This audiobook guides you step by step from basic terminal commands to advanced Bash scripting and system management. Whether you're a beginner or want to take your skills to the next level, this book will help you become a confident Linux user.

How do some organizations maintain 24-7 internet-scale operations? How can organizations integrate security while deploying new features? How do organizations increase security within their DevOps processes? This practical guide helps you answer those questions. Steve Suehring provides unique content to help practitioners and leadership successfully implement DevOps and DevSecOps. Learning DevSecOps emphasizes prerequisites that lead to success through best practices and then takes you through some of the tools and software used by successful DevSecOps-enabled organizations.

According to HackerRank, Java is now the third most in-demand language that hiring managers look for. And with US Java developers now earning upwards of $105,000 on average, based on data from Indeed…you can rest assured that learning Java will pay off in more ways than one.

The User Experience Team of One prescribes a range of approaches that have big impact and take less time and fewer resources than the standard lineup of UX deliverables. Whether you want to cross over into user experience or you're a seasoned practitioner trying to drag your organization forward, this book gives you tools and insight for doing more with less.

Dive into “R Programming: Mastering Data Science and Statistical Computing”, the ultimate guide to one of the most powerful tools in the world of data science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming.

It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.

Do you need a spreadsheet that offers calculation, graphing tools, pivot tables, and more? Is this an essential tool for your business or home? Are you new to this concept and need a step-by-step guide to get going? This audiobook is the perfect place for any beginner to get started and with examples and simple and basic tutorials you will soon be on the way to using Excel for all your tasks, making you wonder how you ever got on without it.

Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’ highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting.

Lean UX has become the preferred approach to interaction design, tailor-made for today’s agile teams. In the second edition of this award-winning book, leading advocates Jeff Gothelf and Josh Seiden expand on the valuable Lean UX principles, tactics, and techniques covered in the first edition to share how product teams can easily incorporate design, experimentation, iteration, and continuous learning from real users into their Agile process.

En Aprende a programar en Python para principiantes, Flynn Fisher comienza desde cero. Él te enseñará los fundamentos de la codificación con Python y te ayudará a establecer los componentes básicos de tus futuras habilidades de programación. Este libro está hecho de manera que cada capítulo se base en los demás.

Attention aspiring coders and creative minds! Join thousands of Python users changing their future. Discover easy Python learning secrets, even if you're just starting out. Have you ever dreamt of creating your own video game or automating tedious tasks with a few lines of code? Or perhaps you've been intrigued by the power of machine learning and artificial intelligence but felt it was out of reach?

C# in Depth is a revised edition of the bestseller written by C# legend Jon Skeet. This authoritative and engaging guide is your key to unlocking this powerful language, including the new features of C# six and seven. In it, Jon introduces expression-bodied members, interpolated strings, pattern matching, and more. Real-world examples drive it all home. By the end of this awesome book, you'll be writing C# code with skill, style, and confidence.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

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 listeners to apply in their own organizations.

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.

This practical guide explains how you can apply key principles in psychology to build products and experiences that are more intuitive and human-centered. Author Jon Yablonski deconstructs familiar apps and experiences to provide clear examples of how UX designers can build experiences that adapt to how users perceive and process digital interfaces.

Design has become the key link between users and today’s complex and rapidly evolving digital experiences, and designers are starting to be included in strategic conversations about the products and services that enterprises ultimately deliver. This has led to companies building in-house digital/experience design teams at unprecedented rates, but many of them don’t understand how to get the most out of their investment.

An inside look at modern open-source software developers - and their influence on our online social world. Open-source software in which developers publish code that anyone can use has long served as a bellwether for other online behavior. In the late 1990s, it provided an optimistic model for public collaboration, but in the last 20 years it shifted to solo operators who write and publish code that's consumed by millions.