jQuery Notes for Professionals
The jQuery Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
The jQuery Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
Programming for Computations - MATLAB/Octave
This 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. ...
This 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 Edition
Discover 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! ...
Discover 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 Succinctly
The 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. ...
The 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. ...
Microsoft Orleans for Developers
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Artificial Intelligence in Medical Sciences and Psychology
Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, m ...
Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, m ...
Automated Deep Learning Using Neural Network Intelligence
Optimize, 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 ...
Optimize, 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 ...
Beginning Ansible Concepts and Application
Learn the concepts and develop the skills to be a true Ansible artist and use it inside and outside the box. This book applies key concepts immediately while building up your Ansible skills layer by layer through easy to grasp examples and engaging projects. You'll also think about security, why testing is important, and how to use version control safely. As a beginner to Ansible, you'll be guided step-by-step through creating your first Ansible playbook to deploying your first server and writing more complex cross-dependency playbooks. From the first line of code to the last, you'll constantly iterate and simplify your playbooks, iwhile taking on more complex topics as you construct a full Wordpress website stack consisting of a database, web servers, and load balancer. This book will prompt you to think about how these fit together and will explain what to do to ensure maintainability long into the future. Don't just use Ansible. Completely change how you go about provisioning, ...
Learn the concepts and develop the skills to be a true Ansible artist and use it inside and outside the box. This book applies key concepts immediately while building up your Ansible skills layer by layer through easy to grasp examples and engaging projects. You'll also think about security, why testing is important, and how to use version control safely. As a beginner to Ansible, you'll be guided step-by-step through creating your first Ansible playbook to deploying your first server and writing more complex cross-dependency playbooks. From the first line of code to the last, you'll constantly iterate and simplify your playbooks, iwhile taking on more complex topics as you construct a full Wordpress website stack consisting of a database, web servers, and load balancer. This book will prompt you to think about how these fit together and will explain what to do to ensure maintainability long into the future. Don't just use Ansible. Completely change how you go about provisioning, ...
Beginning Data Science in R 4, 2nd Edition
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Network Programming with Go Language, 2nd Edition
Dive 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 ...
Dive 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 ...