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What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Dan Vega guide your journey with pointers to deep dives into specific topic areas that will help you understand the skills that really matter as a software engineer.

AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding—a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks—represents a radical shift in the developer's role from writing code to directing it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

It is predicted that a large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5 percent in 2018 to 30 percent in 2023. Also, only 47 percent of machine learning models are making it into production (Comes MLOPS!). Beyond the apparent hustle and bustle of buzzwords and nomenclature every year, I genuinely believe that AI would drastically change the software development and deployment model in the next two years, and all these new startups would drive this change.

You don’t need to be a programmer to build powerful apps, launch stunning websites, or automate online businesses. No-Code App Development for Beginners: Build Websites, Automations, and Online Businesses Without Writing Code is the ultimate beginner’s guide to creating digital products and launching ventures—without touching a single line of code.

In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use Power Apps, Microsoft's low-code, no-code application framework that helps developers make apps faster, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps.

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.

Creating your own game can be very intimidating at the start, and quite often, regardless of your experience with games, it is sometimes difficult to find the time and motivation to get over the first barriers and get started. Often, these barriers seem higher than they actually are.

Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The audiobook guides listeners from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.

C# in Depth, Third Edition updates the best-selling second edition to cover the features of C# 5, including the challenges of writing maintainable asynchronous code. It preserves the uniquely insightful look into the tricky areas and dusty corners of C# that only expert Jon Skeet can provide.

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.

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.

With the recent generative AI boom, organizations are investing more resources into adapting artificial intelligence into their workloads, making the demand for AI skills higher than ever. With Microsoft Azure leading the pack with services for developing and deploying AI solutions, professionals looking to break into this field would be wise to start their journey by getting certified as an Azure AI Engineer. But Azure's AI-102 exam isn't a piece of cake.

Your profit margins could be 30% bigger than they are right now… All you need is one simple tool. Read on! Did you know that in 2023, companies that used AI benefited from an average 30% profit increase? The number of businesses using AI is ever-increasing, and with results like this, it’s little wonder. But the profit increase is just the icing on the cake. AI offers long-established companies and small startups alike a huge range of advantages.

Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk—and fall behind. If you read (or listen to) nothing else on setting a data strategy in your organization, listen to these ten articles.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

Test automation is a fantastic field of engineering. Unfortunately, most test automation efforts fail soon after being initiated. From the many promises of ease of automation to oversimplified vendor demonstrations, it's easy to spend significant time and cost pursuing test automation with little to show in the end. If only there was a way to avoid the pitfalls encountered when embarking upon test automation? Greg Paskal shares his best insights learned as a successful test automation engineer.

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.

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service within the Microsoft Azure cloud computing platform.