Algorithms for Dummies by
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see--based on our likes, dislikes, queries, views, interests, relationships, and more--online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world.
Beginning Programming with Python for Dummies by
The easy way to learn programming fundamentals with Python Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural. Due to its ease of use and flexibility, Python is constantly growing in popularity--and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package--this book covers it all! Use Python to create and run your first application Find out how to troubleshoot and fix errors Learn to work with Anaconda and use Magic Functions Benefit from completely updated and revised information since the last edition If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.
Data Science on the Google Cloud Platform by
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.
Essentials of Computer Organization and Architecture by
The Essentials of Computer Organization and Architecture, Fifth Edition, is comprehensive enough to address all necessary organization and architecture topics, but concise enough to be appropriate for a single-term course. Its focus on real-world examples and practical applications encourages students to develop a "big-picture" understanding of how essential organization and architecture concepts are applied in the computing world. In addition to direct correlation with the ACM/IEEE guidelines for computer organization and architecture, the text exposes readers to the inner workings of a modern digital computer through an integrated presentation of fundamental concepts and principles.
Python for Data Science for Dummies by
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s--and named after Monty Python--that's used by thousands of people to do things from testing microchips at Intel to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
Windows 10 by
Windows 10: The Missing Manual covers the entire system, including all the new features, like the three-column Start menu, the extensions in the Microsoft Edge browser, Paint 3D, and live game broadcasting.
2017 International Conference on Cloud Computing Research and Innovation (ICCCRI) by
As part of CloudAsia 2017, ICCCRI 2017 aims to cover research interests and innovative applications in cloud computing and smart nation related topics
2018 8th International Conference on Computer Science and Information Technology (CSIT) by
The International Conference on Computer Science and Information Technology (CSIT 2018) is the 8th international conference organized by the faculty of Information Technology at Applied Science University, Amman, Jordan that will be held on July 11 12, 2018 The CSIT2018 is a peer reviewed technical scientific conference that aims to bring together researchers, scientists, engineers, and scholar students to present their latest research results and share their experiences, new ideas, and development of all aspects in the fields of computer science and information technology The main theme of the conference is Cloud Computing and Data Science have changed our vision to the business The CSIT2018 will include presentations of accepted papers and state of the art lectures by invited keynote speakers (names will be announced later) Moreover, the program will include exhibits for the latest technologies and sessions on hot areas of computer science and information technology
Cyber-Risk Informatics by
This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats. This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity threats. The author builds from a common understanding based on previous class-tested works to introduce the reader to the current and newly innovative approaches to address the maliciously-by-human-created (rather than by-chance-occurring) vulnerability and threat, and related cost-effective management to mitigate such risk. This book is purely statistical data-oriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event Simulation. The enriched JAVA ready-to-go applications and solutions to exercises provided by the author at the book's specifically preserved website will enable readers to utilize the course related problems. * Enables the reader to use the book's website's applications to implement and see results, and use them making 'budgetary' sense * Utilizes a data analytical approach and provides clear entry points for readers of varying skill sets and backgrounds * Developed out of necessity from real in-class experience while teaching advanced undergraduate and graduate courses by the author Cyber-Risk Informatics is a resource for undergraduate students, graduate students, and practitioners in the field of Risk Assessment and Management regarding Security and Reliability Modeling. Mehmet Sahinoglu, a Professor (1990) Emeritus (2000), is the founder of the Informatics Institute (2009) and its SACS-accredited (2010) and NSA-certified (2013) flagship Cybersystems and Information Security (CSIS) graduate program (the first such full degree in-class program in Southeastern USA) at AUM, Auburn University's metropolitan campus in Montgomery, Alabama. He is a fellow member of the SDPS Society, a senior member of the IEEE, and an elected member of ISI. Sahinoglu is the recipient of Microsoft's Trustworthy Computing Curriculum (TCC) award and the author of Trustworthy Computing (Wiley, 2007).
Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. by 
Professional Swift by
Transition from Objective-C to the cleaner, more functional Swift quickly and easily Professional Swift shows you how to create Mac and iPhone applications using Apple's new programming language. This code-intensive, practical guide walks you through Swift best practices as you learn the language, build an application, and refine it using advanced concepts and techniques. Organized for easy navigation, this book can be read end-to-end for a self-paced tutorial, or used as an on-demand desk reference as unfamiliar situations arise. The first section of the book guides you through the basics of Swift programming, with clear instruction on everything from writing code to storing data, and Section II adds advanced data types, advanced debugging, extending classes, and more. You'll learn everything you need to know to make the transition from Objective-C to Swift smooth and painless, so you can begin building faster, more secure apps than ever before. Get acquainted with the Swift language and syntax Write, deploy, and debug Swift programs Store data and interface with web services Master advanced usage, and bridge Swift and Objective-C Professional Swift is your guide to the future of OS X and iOS development.
