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Results 1581-1590 of 3738 (Search time: 0.085 seconds).
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  • Sách/Book


  • Authors: Peter Bauer (2006)

  • Presents advice on choosing a digital camera, to photography dos and don'ts, to printing and resolution constraints. This book explains hoe to create a slideshow with music; mix film prints with digital pictures; make posters, greeting cards, and calendars; alter digital photos; and, share photos on the web.

  • Sách/Book


  • Authors: Tony Gaddis (2022)

  • PythonIn Starting Out with Python, 5th Edition, Tony Gaddis’ accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices.

  • Sách/Book


  • Authors: William Stallings (2006)

  • In this age of viruses and hackers, of electronic eavesdropping and electronic fraud, security is paramount. This solid, up-to-date tutorial is a comprehensive treatment of cryptography and network security is ideal for self-study.

  • Sách/Book


  • Authors: Mark Fenner (2020)

  • The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner.

  • Sách/Book


  • Authors: Cay S. Horstmann (2023)

  • "Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed and new features such as modularization make you far more effective. Core Java for the Impatient, Third Edition, is a complete yet concise guide that includes all the latest changes through Java 17"

  • Sách/Book


  • Authors: Barr Moses (2022)

  • "Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipeline...

  • Sách/Book


  • Authors: Ted Malaska (2018)

  • This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications. Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.

  • Sách/Book


  • Authors: Brock J. LaMeres (2019)

  • This textbook for courses in Digital Systems Design introduces students to the fundamental hardware used in modern computers. Coverage includes both the classical approach to digital system design (i.e., pen and paper) in addition to the modern hardware description language (HDL) design approach (computer-based). Using this textbook enables readers to design digital systems using the modern HDL approach, but they have a broad foundation of knowledge of the underlying hardware and theory of their designs. This book is designed to match the way the material is actually taught in the classroom. Topics are presented in a manner which builds foundational knowledge before moving onto advanced topics. The author has designed the presentation with learning goals and assessment at its core. ...

  • Sách/Book


  • Authors: Thomas Erl (2023)

  • Cloud computing has become an integral and foundational part of information technology. The majority of digital business activity and technology innovation occurs with the involvement of contemporary cloud environments that provide highly sophisticated automated technology infrastructure and a vast range of technology resources. To successfully build upon, interact with, or create a cloud environment requires an understanding of its common inner mechanics, architectural layers, models, and security controls. It also requires an understanding of the business and economic factors that justify the adoption and real-world use of clouds and cloud-based products and services. In Cloud Computing: Concepts, Technology, Security & Architecture, Thomas Erl, one of the worlds top-selling IT au...

  • Sách/Book


  • Authors: Marco Russo; Alberto Ferrar (2017)

  • "This book introduces the basic techniques for shaping data models in Excel and Power BI. It's meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way--like experienced data modelers do."--Provided by publisher.