Computer Software

Programming jobs are on the rise, and the field is predicted to keep growing, fast. Landing one of these lucrative and rewarding jobs requires more than just being a good programmer. Programming Interviews for Dummies explains the skills and knowledge you need to ace the programming interview. Interviews for software development jobs and other programming positions are unique. Not only must candidates demonstrate technical savvy, they must also show that they're equipped to be a productive member of programming teams and ready to start solving problems from day one.

"Ultimate Python Guide for Beginners: Learn Python in 15 Days" is a comprehensive and practical guide that covers all the essentials of Python programming. With a step-by-step approach and hands-on examples, this book will help you master Python in just 15 days.

Great software can change the world. So, why not start with an idea of what your end user wants and needs? The success of any software is underpinned by the users’ need for it. Will it serve its purpose efficiently? Will it make the end user’s life easier? Will it give them their money’s worth? In User Experience by UX designer Steven Branson, you’ll find out everything you need to know. Expanding your UX approach, honing your coding abilities, and acing your computer programming interviews are within reach!

Discover the full potential of Amazon Kindle Unlimited and revolutionize your reading experience. In this book, you'll learn everything you need to know about Kindle Unlimited and how it can change your reading habits for the better. Benefits: Save money and gain unlimited access to thousands of books Enhance your reading experience with advanced features and personalized recommendations Embrace the future of digital reading and stay ahead of the trends What's in the book: How to maximize your benefits and get the most out of your subscription A detailed comparison of Kindle Unlimited with ...

SQL Essentials for Dummies is your quick reference to all the core concepts of SQL—a valuable common standard language used in relational databases. This useful guide is straightforward—with no excess review, wordy explanations, or fluff—so you get what you need, fast. Great for a brush-up on the basics or as an everyday desk reference, this book is one you can rely on.

Are you frustrated or disenchanted by the results of your Agile approach? Does Agile sound like a good idea, but you're not sure how to explain it beyond roles, practices, and meetings? Is your team going through the motions, but it's still business as usual? The missing piece is the Agile mindset - the thinking that makes Agile processes work.

Start thinking about your development pipeline as a mission-critical application. Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems.

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.

The Little Elixir & OTP Guidebook gets you started writing applications with Elixir and OTP. You'll begin with the immediately comfortable Elixir language syntax, along with just enough functional programming to use it effectively. Then, you'll dive straight into several lighthearted examples that teach you to take advantage of the incredible functionality built into the OTP library.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

In this book, technical strategist Sarah Wells provides practical, in-depth advice for moving to microservices. Having built her first microservices architecture in 2013 for the Financial Times, Sarah discusses the approaches you need to take from the start, and explains the potential traps most likely to trip you up. You'll also learn how to maintain the architecture as your systems mature while minimizing the time you spend on support and maintenance.

This book aims to help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series.

"The Comprehensive Guide to Computer and Data Science" is an essential resource for anyone looking to deepen their understanding of the digital technologies that power our world. Crafted to bridge the gap between theoretical knowledge and practical application, this guide covers a wide array of topics essential to both fields, making it a valuable asset for students, professionals, and enthusiasts alike. From the fundamentals of programming languages to the intricate details of machine learning algorithms, this book provides readers with a clear and systematic approach to learning. Each ...

Zeke and Harold continue on their quest to reunite with their friends, but what can they do to escape the mysterious and evil minion who hunts them? Can they survive alone? Will anyone help them? Is this their final adventure?

For beginners eager to dive into the world of coding, “Code with Confidence—Beginners” is the perfect primer. This book demystifies programming jargon, breaking down concepts into digestible pieces, making it an ideal listen for anyone. Start your journey with a guide that makes learning both engaging and manageable. Don’t just code—develop a coder’s mindset.

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.

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.

The Art of Unit Testing, Second Edition guides you step-by-step from writing your first simple tests to developing robust test sets that are maintainable, readable, and trustworthy. You'll master the foundational ideas and quickly move to high-value subjects like mocks, stubs, and isolation, including frameworks such as Moq, FakeItEasy, and Typemock Isolator.

Tired of wrestling with Word documents? Unleash your writing potential with "Microsoft Word 2007: Master the Essentials"! This powerful guide isn't just for students and teachers. Whether you're a writer, pastor, or simply seeking to level up your typing, "Microsoft Word 2007" will equip you with the skills and confidence to create impactful documents with ease. Unlock hidden gems: Master core features: Understand every tab, ribbon, and shortcut with clear explanations and practical examples. Boost your productivity: Learn proven time-saving techniques and document structuring tricks to ...

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.