Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python\\'s numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to utilize Python's libraries for computation, mathematical modeling, and statisticsDiscover simple yet effective techniques for ...

Learn to break down and solve real-world problems with modern C++ using the proven power of computational thinking. Key FeaturesApply computational thinking to tackle complex C++ challengesUse abstraction, algorithms, and data structures the C++ wayBuild scalable, efficient, and reusable C++ code through real-world projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSolve complex pro...

Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to use Python libraries for computation, mathematical modeling, and statisticsDiscover simple yet effective techniques for solving ...

Essential Information about Algorithms and Data StructuresA Classic ReferenceThe latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.Broad CoverageFull treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.p...

Linux Kernel Development details the design and implementation of the Linux kernel, presenting the content in a manner that is beneficial to those writing and developing kernel code, as well as to programmers seeking to better understand the operating system and become more efficient and productive in their coding.The book details the major subsystems and features of the Linux kernel, including its design, implementation, and interfaces. It covers the Linux kernel with bot...

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through...

Computer Programming In C Language : Computer Programming In C Language teaches the generic Programming techniques using C programming language in an easy-to-follow style, without assuming previous experience in any other language. A variety of examples make learning these Concepts with C both fun and practical. This book is organized in such a manner that students and programmers with prior knowledge of Programming can find it easy, crisp and readable. Each Chapter contains many example p...

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision...

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize you...

The Second Edition of Using C in Software Design provides a creative approach to learning the C programming language by emphasizing software engineering. This inexpensive book, extensively tested in several academic and professional settings, provides a gentle, but complete, introduction to the C language in both the original edition published by Academic Press Professional and the current ebook edition. It provides enough information for a practicing scientist or engineer to be able to wr...