Overview from the publisher: "Illustrating phases of the secure software development life cycle, this comprehensive guide provides expert-level guidance through all phases of the process and supplies many best practices, principles, testing practices, and design methodologies."
Overview from the publisher: "Meant for wide range of readers who wish to learn the basics of the Python programming language, this book will be helpful for students, programmers, researchers, and software developers and provides the basic concepts of Python programming in detail."
Overview from the publisher: "Using a step-by-step approach complete with numerous examples, self-tests, and projects, this book, written in the clear, crisp, uncompromising style, provides all you need to get you started programming in Java right away."
From the publisher: "Quickly get familiar with data science using Python 3.5Save time (and effort) with all the essential tools explainedCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceWho This Book Is ForIf you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills."
From the publisher: "Your entry ticket to the world of data science with the stability and power of JavaExplore, analyse, and visualize your data effectively using easy-to-follow examplesMake your Java applications more capable using machine learningWho This Book Is ForThis book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful."
From the publisher: "Explore the R language from basic types and data structures to advanced topicsLearn how to tackle programming problems and explore both functional and object-oriented programming techniques. Learn how to address the core problems of programming in R and leverage the most popular packages for common tasksWho This Book Is ForThis is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques."
From the publisher: "Master the art of building analytical models using R. About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R."