Programming for Computations - MATLAB/OctaveThis book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification. ...
Retro Gaming with Raspberry Pi, 2nd EditionDiscover how to set up Raspberry Pi to play classic games in the brand new version of our retro gaming guide. In this 164-page book, you'll learn how to build a portable games machine, assemble a full-sized arcade cabinet, and emulate classic computers and consoles. Our step-by-step guides make each build easy! Plus you'll even learn to program your own versions of classic arcade games using Python and Pygame.
Inside Retro Gaming with Raspberry Pi:
- Set up Raspberry Pi for retro gaming;
- Emulate classic computers and consoles;
- Learn to program retro-style games;
- Build a portable console, arcade cabinet, and pinball machine;
- And much, much more! ...
Database Design SuccinctlyThe way a user might perceive and use data and the optimal way a computer system might store it are often very different. In this Database Design Succinctly, learn how to model the user's information into data in a computer database system in such a way as to allow the system to produce useful results for the end user. Joseph D. Booth will cover how to design a database system to allow businesses to get better reporting and control over their information, as well as how to improve their data to make sure it is as accurate as possible. ...
Up and Running with DAX for Power BITake a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the concepts of context transition and table expansion, are considered advanced and challenging areas of DAX.
While there are numerous resources on DAX, most are written with developers in mind, making learning DAX appear an overwhelming challenge, especially for those who are coming from an Excel background or with limited coding experience. The reality is, to hit the ground running with DAX, it's not necessary to wade through copious pages on rarified DAX functions and the technical aspects of the language. There are just a few mandatory concepts that must be fully understood before DAX can be mastered. Knowledge of eve ...
Automated Deep Learning Using Neural Network IntelligenceOptimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.
The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results. The book dives into optimization tuners and the search algorithms they are based on: Evolution search, Annealing search, and the Bayesian Optimization approach. The Neural Architecture Search is covered and you will learn how to develop deep learning models from scratch. Multi-trial and one-shot searching approaches of automatic neural network design ...
Network Programming with Go Language, 2nd EditionDive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples.
Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed.
This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
Database Design, 2nd EditionDatabase Design, 2nd Edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, key terms and review exercises at the end of each chapter.
Topics include:The history of databases; Characteristics and benefits of databases; Data models; Data modelling; Classification of database management systems; Integrity rules and constraints; Functional dependencies; Normalization; Database development process. ...
Introduction to Game Design, Prototyping, and Development, 3rd EditionA hands-on book that explains concepts "by doing," Introduction to Game Design, Prototyping, and Development, 3rd Edition, takes readers through the process of making both paper and digital game prototypes. Rather than focusing on a single tutorial, as most Unity books have done, this book explores several small prototypes, reinforcing critical concepts through repetition from project to project. Author Jeremy Gibson Bond's approach creates a stable of "base projects" that serve as starters for readers looking to create their own games), while skipping the aspects of project creation (e.g. modeling, animation, etc.) that are less central to this book. Intermediate readers may browse this book for a tutorial that clarifies the specific prototyping or programming concept that they wish to learn.
This book begins with an introduction to general game design concepts and basic programing concepts. C# is the chosen language used in this book, and it is easy to learn and enforces good codi ...
Advanced Analytics and Deep Learning ModelsThe book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.
Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools.
However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with al ...
A Network Architect's Guide to 5GAs 5G transforms mobile usage and services, network professionals will need to significantly evolve their transport network architectures towards greater sophistication and stronger integration with radio networks, and facilitate transition towards cloud-native 5G mobile core. Until now, however, most 5G guides have foregrounded RF/radio and mobile core innovations, not its implications for data networks. A Network Architects Guide to 5G fills the gap, giving network architects, designers, and engineers essential knowledge for designing and planning their own 5G networks.
Drawing on decades of experience with global service providers and enterprise networks, the authors illuminate new and evolving network technologies necessary for building 5G-capable networks, such as segment routing, network slicing, timing and synchronization, edge computing, distributed data centers, integration with public cloud, and more. They explain how 5G blurs boundaries between mobile core, radio access, ...