| c++ writing binary vector then read by python: Practical Common Lisp Peter Seibel, 2006-11-01 * Treats LISP as a language for commercial applications, not a language for academic AI concerns. This could be considered to be a secondary text for the Lisp course that most schools teach . This would appeal to students who sat through a LISP course in college without quite getting it – so a nostalgia approach, as in wow-lisp can be practical... * Discusses the Lisp programming model and environment. Contains an introduction to the language and gives a thorough overview of all of Common Lisp’s main features. * Designed for experienced programmers no matter what languages they may be coming from and written for a modern audience—programmers who are familiar with languages like Java, Python, and Perl. * Includes several examples of working code that actually does something useful like Web programming and database access. |
| c++ writing binary vector then read by python: Real World Instrumentation with Python John M. Hughes, 2010-11-15 Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. Understand how to define the scope of an application and determine the algorithms necessary, and why it's important Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB Create low-level extension modules in C to interface Python with a variety of hardware and test instruments Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces Use open source software tools and libraries to reduce costs and avoid implementing functionality from scratch |
| c++ writing binary vector then read by python: Problem Solving & Python Programming Sandhya Kumari, Dr. J. Vellingiri, Mrs. S. Sathea Sree, B. Ravisankar, 2024-07-16 Problem Solving & Python Programming is a comprehensive guide aimed at developing programming skills and logical thinking using Python. This book covers the fundamentals of Python, including data types, control structures, functions, and libraries, while emphasizing problem-solving techniques to tackle real-world challenges. Through practical examples and exercises, it teaches readers to break down complex problems, design algorithms, and implement solutions efficiently. Ideal for beginners and those new to programming, it equips learners with the tools needed to build a strong programming foundation and apply Python to diverse applicatio |
| c++ writing binary vector then read by python: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| c++ writing binary vector then read by python: Python Scripting for Computational Science Hans Petter Langtangen, 2009-01-09 With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint. |
| c++ writing binary vector then read by python: Efficient R Programming Colin Gillespie, Robin Lovelace, 2016-12-08 There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer |
| c++ writing binary vector then read by python: Python and HDF5 Andrew Collette, 2013-10-21 Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you’re familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Learn how to work with HDF5’s hierarchical structure, using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5’s type system to create interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5 |
| c++ writing binary vector then read by python: Fundamentals of Computer Programming with C# Svetlin Nakov, Veselin Kolev, 2013-09-01 The free book Fundamentals of Computer Programming with C# is a comprehensive computer programming tutorial that teaches programming, logical thinking, data structures and algorithms, problem solving and high quality code with lots of examples in C#. It starts with the first steps in programming and software development like variables, data types, conditional statements, loops and arrays and continues with other basic topics like methods, numeral systems, strings and string processing, exceptions, classes and objects. After the basics this fundamental programming book enters into more advanced programming topics like recursion, data structures (lists, trees, hash-tables and graphs), high-quality code, unit testing and refactoring, object-oriented principles (inheritance, abstraction, encapsulation and polymorphism) and their implementation the C# language. It also covers fundamental topics that each good developer should know like algorithm design, complexity of algorithms and problem solving. The book uses C# language and Visual Studio to illustrate the programming concepts and explains some C# / .NET specific technologies like lambda expressions, extension methods and LINQ. The book is written by a team of developers lead by Svetlin Nakov who has 20+ years practical software development experience. It teaches the major programming concepts and way of thinking needed to become a good software engineer and the C# language in the meantime. It is a great start for anyone who wants to become a skillful software engineer. The books does not teach technologies like databases, mobile and web development, but shows the true way to master the basics of programming regardless of the languages, technologies and tools. It is good for beginners and intermediate developers who want to put a solid base for a successful career in the software engineering industry. The book is accompanied by free video lessons, presentation slides and mind maps, as well as hundreds of exercises and live examples. Download the free C# programming book, videos, presentations and other resources from http://introprogramming.info. Title: Fundamentals of Computer Programming with C# (The Bulgarian C# Programming Book) ISBN: 9789544007737 ISBN-13: 978-954-400-773-7 (9789544007737) ISBN-10: 954-400-773-3 (9544007733) Author: Svetlin Nakov & Co. Pages: 1132 Language: English Published: Sofia, 2013 Publisher: Faber Publishing, Bulgaria Web site: http://www.introprogramming.info License: CC-Attribution-Share-Alike Tags: free, programming, book, computer programming, programming fundamentals, ebook, book programming, C#, CSharp, C# book, tutorial, C# tutorial; programming concepts, programming fundamentals, compiler, Visual Studio, .NET, .NET Framework, data types, variables, expressions, statements, console, conditional statements, control-flow logic, loops, arrays, numeral systems, methods, strings, text processing, StringBuilder, exceptions, exception handling, stack trace, streams, files, text files, linear data structures, list, linked list, stack, queue, tree, balanced tree, graph, depth-first search, DFS, breadth-first search, BFS, dictionaries, hash tables, associative arrays, sets, algorithms, sorting algorithm, searching algorithms, recursion, combinatorial algorithms, algorithm complexity, OOP, object-oriented programming, classes, objects, constructors, fields, properties, static members, abstraction, interfaces, encapsulation, inheritance, virtual methods, polymorphism, cohesion, coupling, enumerations, generics, namespaces, UML, design patterns, extension methods, anonymous types, lambda expressions, LINQ, code quality, high-quality code, high-quality classes, high-quality methods, code formatting, self-documenting code, code refactoring, problem solving, problem solving methodology, 9789544007737, 9544007733 |
| c++ writing binary vector then read by python: Hacker's Delight Henry S. Warren, 2013 Compiles programming hacks intended to help computer programmers build more efficient software, in an updated edition that covers cyclic redundancy checking and new algorithms and that includes exercises with answers. |
| c++ writing binary vector then read by python: The Art of R Programming Norman Matloff, 2011-10-11 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 anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R packages for text analysis, image manipulation, and more –Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing. |
| c++ writing binary vector then read by python: The Practice of Programming Brian W. Kernighan, Rob Pike, 1999-02-09 With the same insight and authority that made their book The Unix Programming Environment a classic, Brian Kernighan and Rob Pike have written The Practice of Programming to help make individual programmers more effective and productive. The practice of programming is more than just writing code. Programmers must also assess tradeoffs, choose among design alternatives, debug and test, improve performance, and maintain software written by themselves and others. At the same time, they must be concerned with issues like compatibility, robustness, and reliability, while meeting specifications. The Practice of Programming covers all these topics, and more. This book is full of practical advice and real-world examples in C, C++, Java, and a variety of special-purpose languages. It includes chapters on: debugging: finding bugs quickly and methodically testing: guaranteeing that software works correctly and reliably performance: making programs faster and more compact portability: ensuring that programs run everywhere without change design: balancing goals and constraints to decide which algorithms and data structures are best interfaces: using abstraction and information hiding to control the interactions between components style: writing code that works well and is a pleasure to read notation: choosing languages and tools that let the machine do more of the work Kernighan and Pike have distilled years of experience writing programs, teaching, and working with other programmers to create this book. Anyone who writes software will profit from the principles and guidance in The Practice of Programming. |
| c++ writing binary vector then read by python: GeoComputation Robert J. Abrahart, Linda M. See, 2014-06-23 A revision of Openshaw and Abrahart's seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field's development, this new edition takes a broader view and provides comprehensive coverage across the |
| c++ writing binary vector then read by python: C++ Primer Stanley B. Lippman, Josée Lajoie, Barbara E. Moo, 2012-08-06 Bestselling Programming Tutorial and Reference Completely Rewritten for the New C++11 Standard Fully updated and recast for the newly released C++11 standard, this authoritative and comprehensive introduction to C++ will help you to learn the language fast, and to use it in modern, highly effective ways. Highlighting today’s best practices, the authors show how to use both the core language and its standard library to write efficient, readable, and powerful code. C++ Primer, Fifth Edition, introduces the C++ standard library from the outset, drawing on its common functions and facilities to help you write useful programs without first having to master every language detail. The book’s many examples have been revised to use the new language features and demonstrate how to make the best use of them. This book is a proven tutorial for those new to C++, an authoritative discussion of core C++ concepts and techniques, and a valuable resource for experienced programmers, especially those eager to see C++11 enhancements illuminated. Start Fast and Achieve More Learn how to use the new C++11 language features and the standard library to build robust programs quickly, and get comfortable with high-level programming Learn through examples that illuminate today’s best coding styles and program design techniques Understand the “rationale behind the rules”: why C++11 works as it does Use the extensive crossreferences to help you connect related concepts and insights Benefit from up-to-date learning aids and exercises that emphasize key points, help you to avoid pitfalls, promote good practices, and reinforce what you’ve learned Access the source code for the extended examples from informit.com/title/0321714113 C++ Primer, Fifth Edition, features an enhanced, layflat binding, which allows the book to stay open more easily when placed on a flat surface. This special binding method—notable by a small space inside the spine—also increases durability. |
| c++ writing binary vector then read by python: Modern C++ Design Andrei Alexandrescu, 2001 This title documents a convergence of programming techniques - generic programming, template metaprogramming, object-oriented programming and design patterns. It describes the C++ techniques used in generic programming and implements a number of industrial strength components. |
| c++ writing binary vector then read by python: Professional CUDA C Programming John Cheng, Max Grossman, Ty McKercher, 2014-09-09 Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the hard and soft aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market. |
| c++ writing binary vector then read by python: Fluent Python Luciano Ramalho, 2015-07-30 Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work |
| c++ writing binary vector then read by python: Grokking Algorithms Aditya Bhargava, 2016-05-12 This book does the impossible: it makes math fun and easy! - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors |
| c++ writing binary vector then read by python: Murach's C++ Programming Mary Delamater, Joel Murach, 2018-09 In the beginning, C++ was a hard language to learn because it required programmers to master low-level techniques to work with memory. Over the years, C++ has evolved to provide higher-level techniques that make it much easier to write effective code. But most C++ books havent evolved with the language. Until now. Now, this book uses modern C++ to get you off to a fast start, and then builds out your coding and OOP skills to the professional level. At that point, it also covers older techniques so youll be able to maintain the vast amount of legacy code thats out there, as well as work with embedded systems that dont support the newer techniques. |
| c++ writing binary vector then read by python: Boost C++ Application Development Cookbook Antony Polukhin, 2017-08-30 Learn to build applications faster and better by leveraging the real power of Boost and C++ About This Book Learn to use the Boost libraries to simplify your application development Learn to develop high quality, fast and portable applications Learn the relations between Boost and C++11/C++4/C++17 Who This Book Is For This book is for developers looking to improve their knowledge of Boost and who would like to simplify their application development processes. Prior C++ knowledge and basic knowledge of the standard library is assumed. What You Will Learn Get familiar with new data types for everyday use Use smart pointers to manage resources Get to grips with compile-time computations and assertions Use Boost libraries for multithreading Learn about parallel execution of different task Perform common string-related tasks using Boost libraries Split all the processes, computations, and interactions to tasks and process them independently Learn the basics of working with graphs, stacktracing, testing and interprocess communications Explore different helper macros used to detect compiler, platform and Boost features In Detail If you want to take advantage of the real power of Boost and C++ and avoid the confusion about which library to use in which situation, then this book is for you. Beginning with the basics of Boost C++, you will move on to learn how the Boost libraries simplify application development. You will learn to convert data such as string to numbers, numbers to string, numbers to numbers and more. Managing resources will become a piece of cake. You'll see what kind of work can be done at compile time and what Boost containers can do. You will learn everything for the development of high quality fast and portable applications. Write a program once and then you can use it on Linux, Windows, MacOS, Android operating systems. From manipulating images to graphs, directories, timers, files, networking – everyone will find an interesting topic. Be sure that knowledge from this book won't get outdated, as more and more Boost libraries become part of the C++ Standard. |
| c++ writing binary vector then read by python: Modern Fortran Milan Curcic, 2020-10-07 Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you’ll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. Summary Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data. Fortran is an amazingly powerful and flexible programming language that forms the foundation of high performance computing for research, science, and industry. And it's come a long, long way since starting life on IBM mainframes in 1956. Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If you're working on tasks where speed, accuracy, and efficiency matter, it's time to discover—or re-discover—Fortran.. About the technology For over 60 years Fortran has been powering mission-critical scientific applications, and it isn't slowing down yet! Rock-solid reliability and new support for parallel programming make Fortran an essential language for next-generation high-performance computing. Simply put, the future is in parallel, and Fortran is already there. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you'll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. What's inside Fortran's place in the modern world Working with variables, arrays, and functions Module development Parallelism with coarrays, teams, and events Interoperating Fortran with C About the reader For developers and computational scientists. No experience with Fortran required. About the author Milan Curcic is a meteorologist, oceanographer, and author of several general-purpose Fortran libraries and applications. Table of Contents PART 1 - GETTING STARTED WITH MODERN FORTRAN 1 Introducing Fortran 2 Getting started: Minimal working app PART 2 - CORE ELEMENTS OF FORTRAN 3 Writing reusable code with functions and subroutines 4 Organizing your Fortran code using modules 5 Analyzing time series data with arrays 6 Reading, writing, and formatting your data PART 3 - ADVANCED FORTRAN USE 7 Going parallel with Fortan coarrays 8 Working with abstract data using derived types 9 Generic procedures and operators for any data type 10 User-defined operators for derived types PART 4 - THE FINAL STRETCH 11 Interoperability with C: Exposing your app to the web 12 Advanced parallelism with teams, events, and collectives |
| c++ writing binary vector then read by python: Programming Computer Vision with Python Jan Erik Solem, 2012-06-19 If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Learn techniques used in robot navigation, medical image analysis, and other computer vision applications Work with image mappings and transforms, such as texture warping and panorama creation Compute 3D reconstructions from several images of the same scene Organize images based on similarity or content, using clustering methods Build efficient image retrieval techniques to search for images based on visual content Use algorithms to classify image content and recognize objects Access the popular OpenCV library through a Python interface |
| c++ writing binary vector then read by python: Python and Matplotlib Essentials for Scientists and Engineers M A Wood, 2015-06-23 |
| c++ writing binary vector then read by python: Deep Learning with Python Francois Chollet, 2017-11-30 Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance |
| c++ writing binary vector then read by python: Guide to Competitive Programming Antti Laaksonen, 2018-01-02 This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers. |
| c++ writing binary vector then read by python: Python for the Lab Aquiles Carattino, 2020-10-11 Python for the Lab is the first book covering how to develop instrumentation software. It is ideal for researchers willing to automatize their setups and bring their experiments to the next level. The book is the product of countless workshops at different universities, and a carefully design pedagogical strategy. With an easy to follow and task-oriented design, the book uncovers all the best practices in the field. It also shows how to design code for long-term maintainability, opening the doors of fruitful collaboration among researchers from different labs. |
| c++ writing binary vector then read by python: Writing Compilers and Interpreters Ronald Mak, 2011-03-10 Long-awaited revision to a unique guide that covers both compilers and interpreters Revised, updated, and now focusing on Java instead of C++, this long-awaited, latest edition of this popular book teaches programmers and software engineering students how to write compilers and interpreters using Java. You?ll write compilers and interpreters as case studies, generating general assembly code for a Java Virtual Machine that takes advantage of the Java Collections Framework to shorten and simplify the code. In addition, coverage includes Java Collections Framework, UML modeling, object-oriented programming with design patterns, working with XML intermediate code, and more. |
| c++ writing binary vector then read by python: Python Scripting for Computational Science Hans Petter Langtangen, 2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries. |
| c++ writing binary vector then read by python: Python Tutorial 3.11.3 Guido Van Rossum, Python Development Team, 2023-05-12 |
| c++ writing binary vector then read by python: Data Structures and Algorithms in C++ Michael T. Goodrich, Roberto Tamassia, David M. Mount, 2011-02-22 An updated, innovative approach to data structures and algorithms Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++. The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. Offers a unique multimedia format for learning the fundamentals of data structures and algorithms Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design Provides clear approaches for developing programs Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms. |
| c++ writing binary vector then read by python: High Performance JavaScript Nicholas C. Zakas, 2010-03-11 If you're like most developers, you rely heavily on JavaScript to build interactive and quick-responding web applications. The problem is that all of those lines of JavaScript code can slow down your apps. This book reveals techniques and strategies to help you eliminate performance bottlenecks during development. You'll learn how to improve execution time, downloading, interaction with the DOM, page life cycle, and more. Yahoo! frontend engineer Nicholas C. Zakas and five other JavaScript experts—Ross Harmes, Julien Lecomte, Steven Levithan, Stoyan Stefanov, and Matt Sweeney—demonstrate optimal ways to load code onto a page, and offer programming tips to help your JavaScript run as efficiently and quickly as possible. You'll learn the best practices to build and deploy your files to a production environment, and tools that can help you find problems once your site goes live. Identify problem code and use faster alternatives to accomplish the same task Improve scripts by learning how JavaScript stores and accesses data Implement JavaScript code so that it doesn't slow down interaction with the DOM Use optimization techniques to improve runtime performance Learn ways to ensure the UI is responsive at all times Achieve faster client-server communication Use a build system to minify files, and HTTP compression to deliver them to the browser |
| c++ writing binary vector then read by python: Imperfect C++ Matthew Wilson, 2005 The historic journey of Barack and Michelle Obama to the White House is memorialized in this fun yet fashionable paper doll book featuring the Obamas. For the millions who can't get enough of this remarkable first family, here's a book containing perforated press-out dolls of Barack and Michelle and over 30mix-and-match coordinated outfits and accessories featuring the Obamas: &mdashon vacation in Hawaii &mdashgolfing at Camp David &mdashon election night &mdashat the extraordinary inauguration and Inaugural Ball &mdashtraveling the world on foreign affairs trip &mdashrolling up their sleeves for a day of service plus much more! Highlighting Barack's uniquely professional, yet down-to-earth wardrobe that reflects his popular persona and Michelle's outstanding taste in fashion, this book is a must for anyone wanting that special yes we can kind of day, every day. |
| c++ writing binary vector then read by python: Data Structures and Algorithms in Java Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser, 2014-01-28 The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework. |
| c++ writing binary vector then read by python: A Tour of C++ Bjarne Stroustrup, 2013-09-16 The C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, thoroughly covers the details of this language and its use in his definitive reference, The C++ Programming Language, Fourth Edition. In A Tour of C++ , Stroustrup excerpts the overview chapters from that complete reference, expanding and enhancing them to give an experienced programmer–in just a few hours–a clear idea of what constitutes modern C++. In this concise, self-contained guide, Stroustrup covers most major language features and the major standard-library components–not, of course, in great depth, but to a level that gives programmers a meaningful overview of the language, some key examples, and practical help in getting started. Stroustrup presents the C++ features in the context of the programming styles they support, such as object-oriented and generic programming. His tour is remarkably comprehensive. Coverage begins with the basics, then ranges widely through more advanced topics, including many that are new in C++11, such as move semantics, uniform initialization, lambda expressions, improved containers, random numbers, and concurrency. The tour ends with a discussion of the design and evolution of C++ and the extensions added for C++11. This guide does not aim to teach you how to program (see Stroustrup’s Programming: Principles and Practice Using C++ for that); nor will it be the only resource you’ll need for C++ mastery (see Stroustrup’s The C++ Programming Language, Fourth Edition, for that). If, however, you are a C or C++ programmer wanting greater familiarity with the current C++ language, or a programmer versed in another language wishing to gain an accurate picture of the nature and benefits of modern C++, you can’t find a shorter or simpler introduction than this tour provides. |
| c++ writing binary vector then read by python: Computational Complexity Sanjeev Arora, Boaz Barak, 2009-04-20 New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students. |
| c++ writing binary vector then read by python: Introduction to Information Retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, 2008-07-07 Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. |
| c++ writing binary vector then read by python: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| c++ writing binary vector then read by python: Study Material Python YCT Expert Team Youth Competition Times , 2023-24 O Level M3-R5 Study Material Python |
| c++ writing binary vector then read by python: Mips2c Philip Machanick, 2015-10-29 Programming in C is close to the machine and the language was originally designed to code an operating system. The approach I take is to start from the machine layer, though in less detail than in a computer organization or logic design book, using the MIPS instruction set to illustrate principles. The first part of the book uses C syntax as pseudocode while demonstrating how to convert high level language code to MIPS assembly language. The second part of the book introduces C in more detail, building on the MIPS part. While using C as pseudocode is not strictly in keeping with the spirit of pseudocode, which is meant to be sketchy and leave out a lot of detail, the idea is to introduce those not familiar with C-style languages to the notation ahead of the second part of the book where C is introduced properly. Why MIPS? The MIPS architecture is simple and relatively easy to understand, and in wide use in embedded systems. The SPIM simulator is a handy and free learning tool. Why C? It is in wide use, and closer to the machine than other popular languages with similar syntax. Learning the hardware-software interface in C is a lot easier than in a language with a managed memory system and complications like classes and objects. Topics covered in the MIPS part include memory organization, alternative approaches to stack frames, local and global variables, the heap and dynamic allocation, function calls including parameter passing and recursion, how C relates to machine code (e.g., arrays as pointers) and - a brief segue out of C space - how objects and methods are implemented. I cover objects because they provide a useful example of a dispatch table, and a basic understanding of how method calls could be implemented is useful given how widespread object-oriented languages are. The C part builds on this, introducing C in a little more detail including how formatted input and output work, basic C constructs, the UNIX command line (basics of scripting and make), program structure, calling library functions with function pointers and bit manipulations. The book is tested on a second-year class whose prior courses used C#, but it could be used in an introductory class. The machine organization component is not very detailed; the idea is to present just enough to support the programming concepts. The principle aims of the book are provide a foundation for understanding deeper programming concepts like recursion and the background for courses that require an understanding of the hardware-software interface like compilers and operating systems. The index contains separate entries for exercises so you do not waste time looking up a concept only to find the index entry points to an exercise. The test of how well this works is in how well students do in follow-up courses - so far, my experience has been positive and I hope yours is too. |
| c++ writing binary vector then read by python: Essential C++ Stanley B. Lippman, 2000 Finally, a great introduction to ANCI C++ for working programmers! Lippmann--who worked under the leadership of Bjarne Stroustrup, wrote the classic C++ Primer, and now works as a C++ programmer at DreamWorks--teaches programmers exactly what they need to know to get immediate results. From start to finish, each concept and technique is presented through real programs designed to solve the problems C++ programmers are most likely to encounter. |
| c++ writing binary vector then read by python: Introduction To Algorithms Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein, 2001 An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms. |
C Writing Binary Vector Then Read By Python (Download Only)
C Writing Binary Vector Then Read By Python: Practical Common Lisp Peter Seibel,2006-11-01 Treats LISP as a language for commercial applications not a language for academic AI …
Binary File Exam based questions - cs2study
Binary File –Exam based questions A binary file ^student.dat _ has structure [rollno, name, marks]. i. Write a user defined function insertRec() to input data for a student and add to …
C Writing Binary Vector Then Read By Python
c++ writing binary vector then read by python: Python Scripting for Computational Science Hans Petter Langtangen, 2009-01-09 With a primary focus on examples and applications of …
BINARY FILE HANDLING - python4csip.com
Writing String to Binary file • To store string in binary file, we must convert it to binary format either by prefixing the string with ‘b’ or using the encode() function. • For e.g. VINOD KUMAR …
C h a p r 2 File Handling in Python - NCERT
to be opened like
for reading, for writing, <+> for both reading and writing, for appending at the end of an existing file. The default is the read mode. In addition, we can …
Python STL - Read the Docs
stl is a Python library for reading and writing 3D geometry data written in both the binary and ASCII variants of the STL (“STereo Lithography”) format. STL is commonly used in preparing …
Chapter 10 Reading and Writing Files - School of Electrical …
In this chapter we explore the reading and writing of files. In general, the content of a file is in the form of (readable) text or in the form of binary or “raw” data. In this chapter we will only …
CSE 142 Python Slides - mykvs.in
What is Binary File? • A binary file contains arbitrary binary data i.e. numbers stored in the file, can be used for numerical operation(s). • So when we work on binary file, we have to interpret …
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C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
RcppCNPy: Reading and writing NumPy binary files
RcppCNPy: Reading and writing NumPy binary files Dirk Eddelbuettel RcppCNPy version 0.2.3 as of April 10, 2014 Abstract This document introduces the RcppCNPy package for reading …
Binary File in Python
When ever we want to write a sequence like List or Dictionary to a file then we required binary file in python. import pickle module. Open File in required mode (read, write or append). Write …
VL - Python Vector Library - 3DEqualizer
In this section we will describe the API of all classes in detail. The vector classes are vec1d, vec2d, vec3d and vec4d. All vector classes are derived from the base class vec. All vector …
C Writing Binary Vector Then Read By Python
Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the …
FILE HANDLING - python4csip.com
Data in binary files cannot be directly read, it can be read only through python program for the same. We should first open the file for read or write by specifying the name of file and mode. …
C Writing Binary Vector Then Read By Python [PDF]
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
RcppCNPy: Reading and writing NumPy binary les
RcppCNPy: Reading and writing NumPy binary les Dirk Eddelbuettel RcppCNPy version 0.0.2 as of July 7, 2012 Abstract This document introduces the RcppCNPy package for reading and …
C Writing Binary Vector Then Read By Python
Oct 8, 2023 · Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. …
C Writing Binary Vector Then Read By Python (2024)
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
C Writing Binary Vector Then Read By Python (2024)
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
C Writing Binary Vector Then Read By Python (2024)
Books C Writing Binary Vector Then Read By Python The advent of Kindle books has undoubtedly reshaped the bookish scene, introducing a paradigm shift in the way books are …
C Writing Binary Vector Then Read By Python (Download Only)
C Writing Binary Vector Then Read By Python: Practical Common Lisp Peter Seibel,2006-11-01 Treats LISP as a language for commercial applications not a language for academic AI …
Binary File Exam based questions - cs2study
Binary File –Exam based questions A binary file ^student.dat _ has structure [rollno, name, marks]. i. Write a user defined function insertRec() to input data for a student and add to …
C Writing Binary Vector Then Read By Python
c++ writing binary vector then read by python: Python Scripting for Computational Science Hans Petter Langtangen, 2009-01-09 With a primary focus on examples and applications of …
BINARY FILE HANDLING - python4csip.com
Writing String to Binary file • To store string in binary file, we must convert it to binary format either by prefixing the string with ‘b’ or using the encode() function. • For e.g. VINOD KUMAR …
C h a p r 2 File Handling in Python - NCERT
to be opened like for reading, for writing, <+> for both reading and writing, for appending at the end of an existing file. The default is the read mode. In addition, we can …
Python STL - Read the Docs
stl is a Python library for reading and writing 3D geometry data written in both the binary and ASCII variants of the STL (“STereo Lithography”) format. STL is commonly used in preparing …
Chapter 10 Reading and Writing Files - School of Electrical …
In this chapter we explore the reading and writing of files. In general, the content of a file is in the form of (readable) text or in the form of binary or “raw” data. In this chapter we will only …
CSE 142 Python Slides - mykvs.in
What is Binary File? • A binary file contains arbitrary binary data i.e. numbers stored in the file, can be used for numerical operation(s). • So when we work on binary file, we have to interpret …
C Writing Binary Vector Then Read By Python (Download Only)
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
RcppCNPy: Reading and writing NumPy binary files
RcppCNPy: Reading and writing NumPy binary files Dirk Eddelbuettel RcppCNPy version 0.2.3 as of April 10, 2014 Abstract This document introduces the RcppCNPy package for reading …
Binary File in Python
When ever we want to write a sequence like List or Dictionary to a file then we required binary file in python. import pickle module. Open File in required mode (read, write or append). Write …
VL - Python Vector Library - 3DEqualizer
In this section we will describe the API of all classes in detail. The vector classes are vec1d, vec2d, vec3d and vec4d. All vector classes are derived from the base class vec. All vector …
C Writing Binary Vector Then Read By Python
Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the …
FILE HANDLING - python4csip.com
Data in binary files cannot be directly read, it can be read only through python program for the same. We should first open the file for read or write by specifying the name of file and mode. …
C Writing Binary Vector Then Read By Python [PDF]
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
RcppCNPy: Reading and writing NumPy binary les
RcppCNPy: Reading and writing NumPy binary les Dirk Eddelbuettel RcppCNPy version 0.0.2 as of July 7, 2012 Abstract This document introduces the RcppCNPy package for reading and …
C Writing Binary Vector Then Read By Python
Oct 8, 2023 · Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. …
C Writing Binary Vector Then Read By Python (2024)
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
C Writing Binary Vector Then Read By Python (2024)
C Writing Binary Vector Then Read By Python: Python Scripting for Computational Science Hans Petter Langtangen,2013-03-14 Scripting with Python makes you productive and increases the …
C Writing Binary Vector Then Read By Python (2024)
Books C Writing Binary Vector Then Read By Python The advent of Kindle books has undoubtedly reshaped the bookish scene, introducing a paradigm shift in the way books are …
