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Original edition written by Rick Copeland alone.

Myers Jason: Essential SQLAlchemy, 2e

Essential SQLAlchemy, 2e

Fueling Blockchain Innovation and DApp Expansion

Consensus

Ellen Ullman's humane, insightful, and beautifully written memoir is a cult classic exploring the ever-complicating intersections between people and technology. Writing from 1990s San Francisco, where she ran a programming business that served everyone from credit card companies to AIDS clinics, she describes the strange ecstasies of programming and the even stranger social dynamics of the emerging California tech world, where she crosses paths with the men and women of the emerging internet: sleeping with them, competing with them, trying to get them to debug her systems and decode her desires. Equally evocative of the messiness of life and the artful efficiency of code, Close to the Machine is a deeply personal, prescient account of working at the forefront of computing.

Technophilia and Its Discontents

Close to the Machine

How to Design, Deploy, and Sustain an Effective Data Governance Program

Data Governance

This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view.

Theory, Tools and Techniques

People Analytics

In today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector. "Python for Excel Users: A Beginner's Guide" is tailored for business students and professionals proficient in Microsoft Excel but are ready to embark on their Python journey.

A Beginner's Guide

Python for Excel Users

"Harnessing the power of data and AI methods to tackle complex societal challenges requires transdisciplinary collaboration across academia, industry, and government. This compelling book offers a blueprint for researchers, professionals, and institutions wanting to use innovative, holistic, data-driven methods to solve problems of societal value"--

Harnessing AI for Societal Good

Data, Systems, and Society

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting, but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to understand coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex. This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

A Complete Guide to Rapidly Mastering and Applying Python Programming

Python Fast Track

Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar. Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

A Many-Sorted Algebra View

Probability for Deep Learning Quantum

Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and practical examples have made this one of the leading texts in the field. The third edition continues in this tradition, enhancing it with more practical material. The new edition has been reorganized to allow more flexibility in the way the course is taught. Now, instructors can easily choose whether they would like to teach a course which emphasizes database application development or a course that emphasizes database systems issues. New overview chapters at the beginning of parts make it possible to skip other chapters in the part if you don't want the detail. More applications and examples have been added throughout the book, including SQL and Oracle examples. The applied flavor is further enhanced by the two new database applications chapters.

Database Management Systems

Wiley-Arm Professional Computing and Electrical Engineering Series

Provides a comprehensive introduction to microprocessor architecture and programming concepts, using the Arm® Cortex®-M0 processor as an example The Microprocessor offers a supremely accessible and user-friendly introduction to microprocessor basics: instruction set, the exception model, system architecture and microcontroller programming. Explaining the working principles with simplified models, this first-level book builds the base for all onward courses at intermediate and advanced levels. Filled with exercises that can be executed on the free version of Keil® ¿Vision® MDK without any hardware, the book explains the essential aspects of microprocessor architecture with simple programming examples in assembly and C. By blending conceptual knowledge with practical exercises, the book offers valuable insights that equip readers to engage with real-world applications in the fields of microprocessor architecture and embedded systems.

A Practical Introduction using the Arm Cortex-M0 Processor

The Microprocessor

Tableau at Work is the perfect book for anyone who wants a comprehensive guide and reference to Tableau, from beginners and novices all the way to advanced and professional users.

Tableau at Work

Essential SQLAlchemy, 2e

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