Search results for "handbook of computer programming with python"
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R 570.00
SQL Server Database Programming with Java
This textbook covers both fundamental and advanced Java database programming techniques for beginning and experienced students as well as programmers (courses related to database programming in Java with Apache NetBeans IDE 12 environment). A sample SQL Server 2019 Express database, CSEDEPT, is created and implemented in all example projects throughout this textbook. Over 40 real sample database programming projects are covered in this textbook with detailed illustrations and explanations to help students understand the key techniques and programming technologies. Chapters include homework and selected solutions to strengthen and improve students’ learning and understanding for topics they study in the classroom. Both Java desktop and Web applications with SQL Server database programming techniques are discussed and analyzed. Some updated Java techniques, such as Java Server Pages (JSP), Java Server Faces (JSF), Java Web Service (JWS), JavaServer Pages Standard Tag Library (JSTL), JavaBeans and Java API for XML Web Services (JAX-WS) are also discussed and implemented in the real projects developed in this textbook.This textbook targets mainly advanced-level students in computer science, but it also targets entry-level students in computer science and information system. Programmers, software engineers and researchers will also find this textbook useful as a reference for their projects.
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Constraint Logic Programming using Eclipse
Constraint logic programming lies at the intersection of logic programming, optimisation and artificial intelligence. It has proved a successful tool in many areas including production planning, transportation scheduling, numerical analysis and bioinformatics. Eclipse is one of the leading software systems that realise its underlying methodology. Eclipse is exploited commercially by Cisco, and is freely available and used for teaching and research in over 500 universities. This book has a two-fold purpose. It's an introduction to constraint programming, appropriate for one-semester courses for upper undergraduate or graduate students in computer science or for programmers wishing to master the practical aspects of constraint programming. By the end of the book, the reader will be able to understand and write constraint programs that solve complex problems. Second, it provides a systematic introduction to the Eclipse system through carefully-chosen examples that guide the reader through the language and illustrate its power, versatility and utility.
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Applied Data Science in FinTech
This textbook offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts and methods. Step-by-step illustrations demonstrate how programs are developed, making the material accessible for students. Dedicated chapters explore cutting-edge applications such as AdviceTech, AgTech, PropTech, chatbots, and sentiment analytics. To support hands-on learning, the book also provides sample code and data sets, enabling readers to experiment, practice, and ultimately design their own programs. Designed for those with a basic foundation in programming, this book is an ideal companion for applying data science techniques to financial and technological contexts. It is particularly valuable for postgraduate and advanced students in FinTech, Business Analytics, and Data Science programs.
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Windows 11 For Seniors For Dummies, 2nd Edition
The top-selling Windows book for the older and wiser crowd Windows 11 For Seniors For Dummies, 2nd Edition delivers fluff-free information on making the latest version of Windows work for you. You'll get clear guidance on the basics, troubleshooting tips, and advice for staying safe while you use Windows to get online. Even if you've never used Windows before, this friendly guide will quickly teach you how to get started, without all the jargon and complicated steps. These simple steps and solutions give you the confidence boost you need to navigate the latest interface and even try out the artificial intelligence tools built into Windows. With larger print and clearer graphics, this For Seniors title saves you time and energy as you learn your way around your Windows computer. Get started with the latest version of Windows—without a lot of unnecessary jargonCommunicate with friends, keep track of files, share photos and videos, and stream your favorite mediaTry out Copilot, the Windows AI tool that offers fast answers to any questionBe your own tech guru with step-by-step troubleshooting and maintenance advice These days, a new computer or a new Windows update shouldn't have to slow you down. Spend less time learning and more time doing, with this edition of Windows For Seniors For Dummies.
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Applied Data Science in FinTech
This textbook offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts and methods. Step-by-step illustrations demonstrate how programs are developed, making the material accessible for students. Dedicated chapters explore cutting-edge applications such as AdviceTech, AgTech, PropTech, chatbots, and sentiment analytics. To support hands-on learning, the book also provides sample code and data sets, enabling readers to experiment, practice, and ultimately design their own programs. Designed for those with a basic foundation in programming, this book is an ideal companion for applying data science techniques to financial and technological contexts. It is particularly valuable for postgraduate and advanced students in FinTech, Business Analytics, and Data Science programs.
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Good Coding Practice for Science
Written primarily for mid-to-upper level undergraduates, this primer provides a concise introduction to best practices for coding that everyone who uses code in scientific research should know about.Good Coding Practice for Science introduces the key elements that distinguish well-written computer code, covering style, clarity, technique, and robustness, to support readers in improving their coding skills. In addition to explaining why certain approaches are better than others, this primer also discusses how good code helps with preventing scientific errors, making work reusable, and increasing the reproducibility of research. Key features- Oxford Biology Primers are the only resource to introduce prospective and current students of undergraduate-level bioscience to a range of topics from this dynamic experimental science, enticing readers to study further- Its titles directly support two key transitions in the student journey: from school to undergraduate-level study, and from undergraduate to independent researcher- Its modular format offers a high degree of flexibility, with teachers being able to draw on specific volumes that augment the post-16 curriculum, university lecturers being able to draw on specific volumes at different stages of the undergraduate curriculum, and with materials from the series being available for access in both print and digital formats- Good Coding Practice for Science is available for students and institutions to purchase in a variety of formats: the e-book and Science Trove offer a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support. For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks
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Soil Physics with Python
This innovative study presents concepts and problems in soil physics, and provides solutions using original computer programs. It provides a close examination of physical environments of soil, including an analysis of the movement of heat, water and gases. The authors employ the programming language Python, which is now widely used for numerical problem solving in the sciences. In contrast to the majority of the literature on soil physics, this text focuses onsolving, not deriving, differential equations for transport. Using numerical procedures to solve differential equations allows the solution of quite difficult problems with fairly simple mathematical tools. Numerical methods convert differential into algebraic equations, which can be solved usingconventional methods of linear algebra. Each chapter introduces a soil physics concept, and proceeds to develop computer programs to solve the equations and illustrate the points made in the discussion.Problems at the end of each chapter help the reader practise using the concepts introduced. The text is suitable for advanced undergraduates, graduates and researchers of soil physics. It employs an open source philosophy where computer code is presented, explained and discussed, and provides the reader with a full understanding of the solutions. Once mastered, the code can be adapted and expanded for the user's own models, fostering further developments. The Python tools provide a simplesyntax, Object Oriented Programming techniques, powerful mathematical and numerical tools, and a user friendly environment.
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Functional Programming Using F#
This comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems. Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, mini-projects and links to further F# sources.
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