Data Science from Scratch, 2nd EditionTo really learn data science, you should not only master the tools - data science libraries, frameworks, modules, and toolkits - but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.
Get a crash course in Python; Learn the basics of linear algebra, statistics, and probability - and how and when they're used in data science; Collect, explore, clean, munge, and manipulate data; Dive into the fundamentals of machine ...
Fundamentals of Software ArchitectureSalary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture's many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics.
Mark Richards and Neal Ford - hands-on practitioners who have taught software architecture classes professionally for years - focus on architecture principles that apply across all technology stacks. You'll explore software architecture in a modern light, taking into account all the innovations of the past decade.
This book examines:
Architecture patterns: The technical basis for many architectural decisions;
Components: Identification, coupling, cohesion, partitioning, and granularity;
Soft skills: Effective t ...
Building Machine Learning Powered ApplicationsLearn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers - including experienced practitioners and novices alike - will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.
Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you: Define your product goal and set up ...
Beginning Ballerina ProgrammingDiscover the Ballerina programming language for next-generation microservices and cloud-native application development. This book shows you that Ballerina is a cutting-edge programming language which incorporates many of the latest technological advancements in programming language theory. You'll learn variables and types, modules and functions, flow control, error handling, concurrency, I/O, cloud/network programming, persistence and data access, security and more.
Additionally, Beginning Ballerina Programming introduces many foundation computer science topics along the way and doesn't assume much prior knowledge. For example, when introducing transport-level security, you will get a brief introduction to public-key cryptography, how it is different from private-key cryptography, and why it is needed. This provides an added bonus for you to learn something new and general in computer science.
After reading and using this book, you'll be proficient with Ballerina and cloud-firs ...
Beginning Unreal Game DevelopmentGet started creating video games using Unreal Engine 4 (UE4) and learning the fundamentals of game development. Through hands-on, step-by-step tutorials, you will learn to design engaging environments and a build solid foundation for more complex games. Discover how to utilize the 3D game design software behind the development of immensely popular games for PC, console, and mobile.
Beginning Unreal Game Development steers you through the fundamentals of game development with UE4 to design environments that both engage the player and are aesthetically pleasing. Author David Nixon shows you how to script logic, define behaviors, store data, and create characters. You will learn to create user interfaces, such as menus, load screens, and head-up displays (HUDs), and manipulate audio to add music, sound effects, and dialogue to your game. The book covers level editors, actor types, blueprints, character creation and control, and much more. Throughout the book, you'll put theory into pra ...
Getting Started with BazelOne of the newer players in the build tool field is Bazel, the open source variant of Google's powerful internal build tool Blaze. After years of refinement, the first production-ready version, Bazel 1.0, was released in October 2019. Is this tool right for your organization? This report explores the use cases, features, and usability concerns of Bazel, including its benefits and shortcomings.
Author Benjamin Muschko uses concrete Java-based examples to give you a first taste of Bazel's syntax and functionality. The report also covers advanced features like remote caching and execution. You'll be able to determine hands-on if Bazel is a good fit for your organization and come away with the knowledge and resources to start using this versatile, polyglot build tool for your project.
Set up a Java-based project, compile the source code, and run the application; Define dependencies on other packages and external libraries; Perform automated tests for Java test code; Extend Bazel's bu ...
Mastering Go, 2nd EditionOften referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition.
Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go's capabilities and apply them in your programming work.
The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge.
This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural netwo ...
AI Crash CourseWelcome to the Robot World ... and start building intelligent software now!
Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch.
AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. ...
Knative CookbookEnterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source. With more than 60 practical recipes, this cookbook helps you solve these issues with Knative - the first serverless platform natively designed for Kubernetes. Each recipe contains detailed examples and exercises, along with a discussion of how and why it works.
If you have a good understanding of serverless computing and Kubernetes core resources such as deployment, services, routes, and replicas, the recipes in this cookbook show you how to apply Knative in real enterprise application development. Authors Kamesh Sampath and Burr Sutter include chapters on autoscaling, build and eventing, observability, Knative on OpenShift, and more.
With this cookbook, you'll learn how to: Efficiently build, deploy, and manage modern serverless workloads; Apply Knative in real enterprise scenarios, including advanced eventi ...
97 Things Every Engineering Manager Should KnowTap into the wisdom of experts to learn what every engineering manager should know. With 97 short and extremely useful tips for engineering managers, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your management skills through sound advice.
Managing people is hard, and the industry as a whole is bad at it. Many managers lack the experience, training, tools, texts, and frameworks to do it well. From mentoring interns to working in senior management, this book will take you through the stages of management and provide actionable advice on how to approach the obstacles you'll encounter as a technical manager.
A few of the 97 things you should know:
- "Three Ways to Be the Manager Your Report Needs" by Duretti Hirpa
- "The First Two Questions to Ask When Your Team Is Struggling" by Cate Huston
- "Fire Them!" by Mike Fisher
- "The 5 Whys of Organizational Design" by Kellan Elliott-McCrea
- "Career Conversations" by Raquel Vélez
- ...