Summaries of books about Computers & Technology:
Building Websites All-in-One For Dummies
David Karlins|Doug Sahlin
The book serves as a comprehensive guide to creating websites, covering a range of topics from web design principles and HTML basics to advanced techniques like CSS, JavaScript, and SEO. It provides step-by-step instructions, practical tips, and tools for both beginners and intermediate web developers to build, optimize, and maintain various types of websites.
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Mastering Ethereum
Building Smart Contracts and DApps
Andreas M. Antonopoulos|Gavin Wood Ph. D.
The book serves as a comprehensive guide to Ethereum, providing readers with detailed explanations on how to write smart contracts and build decentralized applications (DApps) using Ethereum's blockchain technology. It covers Ethereum's principles, its programming language Solidity, and various tools and techniques necessary for developing secure and efficient blockchain-based applications.
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Database Internals
A Deep Dive into How Distributed Data Systems Work
Alex Petrov
The book provides a comprehensive exploration of database systems, focusing on the internal mechanisms that enable distributed data systems to operate efficiently and reliably. It covers fundamental concepts such as storage, indexing, and the intricacies of consistency models, replication, and partitioning within the context of both relational and NoSQL databases.
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Introducing Python
Modern Computing in Simple Packages
Bill Lubanovic
The book serves as a comprehensive guide to the Python programming language, covering fundamental concepts, data structures, and various Python libraries. It provides practical examples and exercises to help readers learn how to write efficient, effective code for a wide range of applications.
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Data Analytics Made Accessible
2023 edition
Anil Maheshwari
The book provides a comprehensive overview of data analytics concepts, techniques, and applications, catering to beginners and professionals alike. It covers topics such as data preprocessing, machine learning, data visualization, and predictive analytics, with practical examples and case studies to illustrate the use of analytics in various industries.
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In the Beginning...Was the Command Line
Neal Stephenson
The book is a contemplative essay on the nature and cultural impact of operating systems, comparing them to car models as metaphors for the ideologies behind them. It delves into the author's experiences with and thoughts on the command-line interface, contrasting it with the rise of graphical user interfaces and the market dominance of Microsoft in the 1990s.
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The Elements of User Experience
User-Centered Design for the Web and Beyond
Jesse James Garrett
The book breaks down the complex process of designing web and mobile user experiences into a clear, understandable framework, detailing each layer of user experience from strategy and requirements to interface design and usability. It provides practical advice and insights for creating user-centered designs that effectively meet both business objectives and user needs.
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PCs For Dummies
Dan Gookin
The book serves as an introductory guide to personal computers, covering basic concepts, hardware, software, and troubleshooting for novice users. It provides step-by-step instructions and practical tips to help readers understand how to use and maintain their PC effectively.
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Ahead in the Cloud
Best Practices for Navigating the Future of Enterprise IT
Stephen Orban
The book provides insights and practical guidance on how enterprises can leverage cloud computing to innovate and stay competitive. It covers strategies for cloud adoption, the importance of a strong culture and leadership, and real-world examples from leading organizations on their journey to the cloud.
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Spark
The Definitive Guide: Big Data Processing Made Simple
Bill Chambers|Matei Zaharia
The book serves as a comprehensive guide to using Apache Spark, covering its fundamental concepts, architecture, and practical applications in big data processing. It provides detailed explanations of Spark's core APIs, dataframes, datasets, and how to leverage Spark's capabilities for machine learning and streaming data analysis.
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