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Название: The Well-Grounded Rubyist, 3rd Edition
Автор: David A. Black, III Leo Joseph
Издательство: Manning Publications
ISBN: 1617295213
Год: 2019
Страниц: 584
Язык: английский
Формат: pdf (true), djvu, epub
Размер: 11.8 MB

In The Well-Grounded Rubyist, Third Edition, expert authors David A. Black and Joseph Leo III deliver Ruby mastery in an easy-to-read, casual style. You'll lock in core principles as you write your first Ruby programs. Then, you'll progressively build up to topics like reflection, threading, and recursion, cementing your knowledge with high-value exercises to practice your skills along the way.

Название: The Complete Coding Manual
Автор: James Gale (Editor)
Издательство: Black Dog Media Limited
Серия: BDM's Definitive Guide Series (Volume 31)
Год: 2019
Страниц: 163
Язык: английский
Формат: pdf
Размер: 60.1 MB

Discover how to turn your ideas into code.
Programming is everywhere. From clicking an icon on your desktop and opening a web browser to calculating the vast distances between the stars or flying through them in the latest video game. It's one of the most important digital skills you can have in the modern world and it's only going to get bigger as we move into a new generation of interconnected devices and mediums. Starting to learn to code isn't easy but we're here to help you get going. In the pages of this book you can learn how to start coding using Python, C++, Linux scripting, FUZE BASIC with the Raspberry Pi, Windows batch files and Scratch. We also cover the common pitfalls and mistakes every coder falls into and ways to avoid them in the future; also where you can find help and how to experiment with your code.

Название: C++ Programming: An Object-Oriented Approach
Автор: Behrouz A. Forouzan, Richard Gilberg
Издательство: McGraw-Hill Education
Год: 2019
Страниц: 959
Язык: английский
Формат: pdf (true)
Размер: 29.9 MB

C++ Programming: An Object-Oriented Approach has two primary objectives: Teach the basic principles of programming as outlined in the ACM curriculum for a CS1 class and teach the basic constructs of the C++ language. While C++ is a complex and professional language, experience shows that beginning students can easily understand and use C++. C++ Programming: An Object-Oriented Approach uses a combination of thorough, well-ordered explanations and a strong visual framework to make programming concepts accessible to students. The authors stress incremental program development, wherein program analysis is followed by building a structure chart, constructing UML flow diagrams, writing algorithms, undertaking program design, and finally testing. This foundation, combined with a focus on the benefits of a consistent and well-documented programming style, prepares students to tackle the academic and professional programming challenges they will encounter down the road with confidence.

Название: Stateflow User’s Guide 2019
Автор: MathWorks
Издательство: The MathWorks, Inc
Год: 2019
Страниц: 1456
Язык: английский
Формат: pdf (true)
Размер: 17.7 MB

Stateflow® provides a graphical language that includes?state transition diagrams, flow charts, state transition tables, and truth tables. You can use Stateflow to describe how MATLAB® algorithms and Simulink® models react to input signals, events, and time-based conditions. Stateflow enables you to design and develop supervisory control, task scheduling, fault management, communication protocols, user interfaces, and hybrid systems. With Stateflow, you model combinatorial and sequential decision logic that can be simulated as a block within a Simulink model or executed as an object in MATLAB.

Название: Rootkits and Bootkits: Reversing Modern Malware and Next Generation Threats
Автор: Alex Matrosov, Eugene Rodionov, Sergey Bratus
Издательство: No Starch Press
ISBN: 9781492071259
Год: 2019
Страниц: 450
Язык: английский
Формат: pdf (true), epub
Размер: 15.0, 26.0 MB

Rootkits and Bootkits will teach you how to understand and counter sophisticated, advanced threats buried deep in a machine’s boot process or UEFI firmware.
With the aid of numerous case studies and professional research from three of the world’s leading security experts, you’ll trace malware development over time from rootkits like TDL3 to present-day UEFI implants and examine how they infect a system, persist through reboot, and evade security software.

Название: Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud (1st Edition)
Автор: John Arundel, Justin Domingus
Издательство: O'Reilly Media
ISBN: 1492040762
Год: 2019
Страниц: 344
Язык: английский
Формат: pdf (true), epub
Размер: 17.8 MB

Kubernetes is the operating system of the cloud-native world, providing a reliable and scalable platform for running containerized workloads. This book shows developers and operations staff how to apply industry-standard DevOps practices to Kubernetes in a cloud-native context. You'll learn all about the Kubernetes ecosystem and discover battle-tested solutions to everyday problems. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do - and what you can do with it. You'll build, step by step, an example cloud-native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications.

Название: Game Development with Ren'Py: Introduction to Visual Novel Games Using Ren'Py, TyranoBuilder, and Twine
Автор: Robert Ciesla
Издательство: Apress
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 346
Размер: 14.5 Mb
Язык: English

Get your feet wet in developing visual novels and take a guided tour through easy to follow tutorials using three of the most popular tools (Ren'Py, TyranoBuilder, and Twine). This book uses a two-pronged approach into the fine art of text-based games, showing you what makes for compelling writing as well as the programming logic and techniques needed to bring your visual novels to life.

Название: Python for Probability, Statistics, and Machine Learning, Second Edition
Автор: Jose Unpingco
Издательство: Springer
Год: 2019
Страниц: 395
Язык: английский
Формат: pdf (true)
Размер: 11.1 MB

This textbook, fully updated to feature Python version 3.7, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. The update features full coverage of Web-based scientific visualization with Bokeh Jupyter Hub; Fisher Exact, Cohen’s D and Rank-Sum Tests; Local Regression, Spline, and Additive Methods; and Survival Analysis, Stochastic Gradient Trees, and Neural Networks and Deep Learning. Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples.

Название: Data Science Using Python and R
Автор: Chantal D. Larose and Daniel T. Larose
Издательство: Wiley
ISBN: 1119526817
Год: 2019
Страниц: 247
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R.

Название: Practical Modelling of Dynamic Decision Making
Автор: Rick Evertsz, John Thangarajah
Издательство: Springer
ISBN: 3319951947
Год: 2019
Страниц: 110
Жанр: Искусственный интеллект
Язык: английский
Формат: pdf (true), djvu
Размер: 19.2 MB

This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision making expertise, including team behaviour, and map it to a diagrammatic representation that is intuitive to domain experts. This book is concerned with how to model the dynamic decision-making capabilities of individuals as well as teams, with a view to engineering competent, autonomous decision-making systems for applications such as UASs (Unmanned Aerial Systems) as well as simulations that implement virtual human characters.