Zeigt Titel in Programmieren & Softwareentwicklung

Proteja redes corporativas contra ameaças avançadas dominando a inteligência artificial na cibersegurança moderna. Perfeito para o seu deslocamento diário, este guia pragmático e imersivo transforma a tensão constante dos ataques digitais em arquiteturas de defesa sólidas. Aumente o seu...

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. 

Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases - just a quick-and-easy guide to the essentials of Docker you’ll use every day.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. But anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner. 

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt. In Good Code, Bad Code you’ll learn how to: Think about code like an effective software engineer, write functions that read like well-structured sentences, ensure code is reliable and bug free, effectively unit test code, identify code that can cause problems and improve it, write code that is reusable and adaptable to new requirements, improve your medium and long-term productivity, and save yourself and your team time.

Then this guide is for you! Discover how to implement best practices from successful technology companies in your organization with this essential guide for CTOs, CIOs, CPOs and anyone in technology leadership who wants to drive organizational change.

Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It’s full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you’ll soon be engineering tests that find bugs in edge cases and parts of code you’d never think of testing! Along the way, you’ll develop an intuition for testing that can save years of learning by trial and error.

“How do I make my user stories smaller?” “What is the right size for a user story?” “What is the difference between an Epic and a Story? And where do Tasks and Sub-Tasks fit in?” Allan Kelly found himself answering these questions, and similar ones, again and again so...he sat down to write the answers and this book was born.

Successfully delivering AI projects requires more than technical expertise—it demands a new kind of project management. Managing AI Projects is your practical guide to leading artificial intelligence initiatives from idea to production. Written by seasoned experts Malini Jain Runtasewee and...

Mastering Professional Scrum is for anyone who wants to deliver increased value by using Scrum more effectively. Leading Scrum practitioners Stephanie Ockerman and Simon Reindl draw on years of Scrum training and coaching to help you return to first principles and apply Scrum with the professionalism required to achieve its transformative potential. The authors aim to help you focus on proven Scrum approaches for improving quality, getting and using fast feedback, and becoming more adaptable, instead of “going through the motions” and settling for only modest improvements.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and...

Der Requirements-Engineering-Prozess Dieses Buch gibt einen kurzen Überblick über die verschiedenen Methoden, Modelle und Vorgehensweisen im Requirements Engineering. Es wird ein Vorgehensmodell zur Erstellung einer Anforderungsdefinition dargestellt und erläutert. Dieses Taschenbuch ist optimal um sich auf eine Abschlussarbeit als Informatik-Student oder als Bachelor Wirtschaftsinformatik vorzubereiten. Das Thema wird kurz und knapp dargestellt ohne das Thema unnötig zu verkomplizieren.

Around the world, product teams are waking up to the same uncomfortable truth: doing things “the right way” doesn’t matter if your team loses its funding or your company goes out of business. Simply put, product teams can no longer afford to be disconnected from the business impact of their work. And well-trodden “best practices” from Silicon Valley behemoths can only provide so much guidance for teams working across vastly different business and funding models.

Founders at Work: Stories of Startups' Early Days is a collection of interviews with founders of famous technology companies about what happened in the very earliest days. These people are celebrities now. What was it like when they were just a couple friends with an idea? Founders like Steve Wozniak (Apple), Caterina Fake (Flickr), Mitch Kapor (Lotus), Max Levchin (PayPal), and Sabeer Bhatia (Hotmail) tell you in their own words about their surprising and often very funny discoveries as they learned how to build a company.

Methods of delivering software are constantly evolving in order to increase speed to market without sacrificing reliability and stability. Mastering development end to end, from version control to production, and building production-ready code is now more important than ever. Continuous deployment takes it one step further. This method for delivering software automates the final step to production and enables faster feedback and safer releases.

Der leichte Weg zur eigenen Webseite! Mit diesem Hörbuch lernen Sie HTML5 und CSS3 von Grund auf kennen, um eigene moderne Webseiten zu erstellen, ohne dass hierbei Vorkenntnisse nötig wären. Über die Grundlagen hinaus werden fortgeschrittene Techniken anschaulich erklärt, darunter beispielsweise das Erstellen von Formularen und Animationen, das Einbinden audiovisueller Elemente oder Responsive Design, für ein ansprechendes und nutzerfreundliches Seitenlayout auf PC, Tablet und Smartphone.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

So why learn the C# programming language? One of the main reasons you should learn C# is that it is beginner friendly and was designed to be simple and easy to use. What you read in a C# program is somewhat similar to what you read in the English language. C# takes away most of the complex detail at the machine level so you can focus on programming instead of having to focus on complicated details.