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: rivasss 11-06-2019, 08:06 | : 0 |

: Pro Tools for Film and Video
: Dale Angell
: Elsevier
: 2009
: 287
: Mirknig.su
: 15,9 Mb
: English

This step-by-step guide for editing sound to picture using Pro Tools starts by explaining the Pro Tools systems and covers all key audio topics, including equipment, sound, music, effects, output and mixing tools, to give users the skills needed to work on any project from big budget feature film to amateur DV video in mono, stereo or surround sound. Clearly set out and thorough in coverage, the book takes a practical real world approach, a live 35mm film project runs through the chapters illustrating how different functions are added to a film providing the real detail of how to apply it to an edit. Extensively illustrated in color and packed with time-saving hints and tips, the companion website, http://booksite.focalpress.com/Angell., contains the various Pro Tools sessions of the project film as it moves through audio editing, ADR, mixing and final 35mm release prints.
*Covers all technologies and systems used with Pro Tools *Integrates Avid and Final Cut Pro software with Pro Tools *Layouts for extremely affordable portable Pro Tools systems to high-end studio setups *Packed with tips and tricks to get the most out of the program
: vitvikvas 11-06-2019, 04:13 | : 0 |
: Data Structures and Program Design Using C++: A Self-Teaching Introduction
: D. Malhotra, N. Malhotra
: Mercury Learning & Information
: 2019
: True PDF
: 562
: 11.7 Mb
: English

Data structures provide a means to managing large amounts of information such as large databases, using SEO effectively, and creating Internet/Web indexing services. This book is designed to present fundamentals of data structures for beginners using the C++ programming language in a friendly, self-teaching, format. Practical analogies using real world applications are integrated throughout the text to explain technical concepts. The book includes a variety of end-of-chapter practice exercises, e.g., programming, theoretical, and multiple-choice.
: bomboane 11-06-2019, 00:58 | : 0 |
: Haskell Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Library
: Stefania Loredana Nita, Marius Mihailescu
: Apress
: 2019
: pdf/epub/mobi
: 207
: 10 Mb
: English

This condensed code and syntax reference presents the essential Haskell syntax in a well-organized format that can be used as a quick and handy reference, including applications to cloud computing and data analysis. This book covers the functional programming features of Haskell as well as strong static typing, lazy evaluation, extensive parallelism, and concurrency
You wont find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise, to the point and highly accessible. The Haskell Quick Syntax Reference is packed with useful information and is a must-have for any Haskell programmer working in big data, data science, and cloud computing.
: bomboane 10-06-2019, 23:32 | : 0 |
: Deep Learning for Search
: Tommaso Teofili
: Manning Publications
: 2019
: 328
: pdf (true)
: 10,1 MB

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance.
Deep Learning for Search teaches readers how to improve the effectiveness of your search by implementing neural network-based techniques. By the time their finished, they'll be ready to build amazing search engines that deliver the results your users need and get better as time goes on!
: Ingvar16 10-06-2019, 20:01 | : 0 |
: Classic Computer Science Problems in Python
: David Kopec
: Manning Publications
ISBN: 1617295981
: 2019
: 213
: pdf (true), djvu
: 10.1 MB

Classic Computer Science Problems in Python deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!
: Ingvar16 10-06-2019, 19:35 | : 0 |
: SmartWatch Design Fundamentals: WatchFace Design for Samsung Galaxy SmartWatches
: Wallace Jackson
: Apress
: 2019
: 456
: pdf (true), epub
: 64.8 MB

Smartwatch Design Fundamentals is designed for budding smartwatch designers, programmers, multimedia producers, application designers, Tizen user interface or user experience designers, and anyone interested in developing custom watch faces using new media supported by Tizen 4.0 and Galaxy Watch Designer 1.6.2 or later software.
Gain concepts central to smartwatch design, editing and animation correction using the popular open source Galaxy Watch Designer software package. This visual guide builds upon the essential concepts of smartwatch design, decoration, digital imaging, animation, function integration, and visual effects, and gets more advanced as chapters progress, covering which digital new media file formats (JPEG, PNG, GIF, etc.) are best for use with smartwatch design.
: Ingvar16 10-06-2019, 19:13 | : 0 |
: Penetration Testing Fundamentals: A Hands-On Guide to Reliable Security Audits
: Chuck Easttom
: Pearson IT Certification
ISBN: 0789759373
: 2018
: 510
: pdf
: 16.2 MB

The perfect introduction to pen testing for all IT professionals and students
Clearly explains key concepts, terminology, challenges, tools, and skills
Covers the latest penetration testing standards from NSA, PCI, and NIST
Welcome to todays most useful and practical introduction to penetration testing. Chuck Easttom brings together up-to-the-minute coverage of all the concepts, terminology, challenges, and skills youll need to be effective. Drawing on decades of experience in cybersecurity and related IT fields, Easttom integrates theory and practice, covering the entire penetration testing life cycle from planning to reporting.
: Ingvar16 10-06-2019, 19:10 | : 0 |
: Computer Graphics Programming in OpenGL with JAVA, 2nd Edition
: V. Scott Gordon, John L. Clevenger
: Mercury Learning & Information
ISBN: 1683922190
: 2018
: 406
: epub
: 34.5 MB

This new edition provides step-by-step instruction on modern 3D graphics shader programming in OpenGL, along with its theoretical foundations. It is appropriate both for computer science undergraduate graphics programming courses in degree programs that emphasize Java, and for professionals interested in mastering 3D graphics skills who prefer Java. It has been designed in a 4-color, teach-yourself format with numerous examples that the reader can run just as presented. New sections have been added covering soft shadows, performance optimization, Nsight debugging, as well as updated industry-standard libraries and steps for running the examples on a Macintosh. Includes companion files with all of the source code, models, textures, skyboxes and normal maps used in the book.
: Ingvar16 10-06-2019, 18:33 | : 0 |
: Asymptotic Nonparametric Statistical Analysis of Stationary Time Series
: Daniil Ryabko
: Springer
: SpringerBriefs in Computer Science
: 2019
: pdf (true), mobi, epub
: 10.16 MB

Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been considered too general to be able to make statistical inference. One of the reasons for this is that rates of convergence, even of frequencies to the mean, are not available under this assumption alone. Recently, it has been shown that, while some natural and simple problems, such as homogeneity, are indeed provably impossible to solve if one only assumes that the data is stationary (or stationary ergodic), many others can be solved with rather simple and intuitive algorithms. The latter include clustering and change point estimation among others. In this volume I summarize these results. The emphasis is on asymptotic consistency, since this the strongest property one can obtain assuming stationarity alone.
: Ingvar16 10-06-2019, 18:26 | : 0 |

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