Libros de Informática práctica, página 21 de 348

Mark Burnett, James Foster Are Your Web Applications Really Secure? This unique book walks you through the many threats to your web application code, from managing and authorizing users and encrypting private data to filtering user input and securing XML. For every defined threat, it provides a menu of solutions and coding considerations. And, it offers coding examples and a set of security policies for each of the corresponding threats. Know the threats to your applications: · Develop secure password policies and how to securely manage user passwords in your web application. · Establish a secure procedure for resetting lost or forgotten passwords and discover how to properly use secret questions in that process. · Securely authenticate and authorize users, taking advantage of the advanced capabilities in ASP.NET · Limit exposure to credential harvesting and brute force password attacks. · Securely manage user sessions and learn how to create strong user authentication tokens. · Work with the built-in state providers and securely implement view state in your forms. · Make sense of the extensive encryption features in ASP.NET and employ symmetric and asymmetric encryption for sensitive data. · Properly encrypt and store secrets to the registry, a file, or the protected store. · Filter user input to prevent from SQL injection, directory traversal, cross-site scripting and other application-level attacks. · Apply techniques such as pattern matching and data reflecting to control exposure to malicious input attacks. · Configure honey drops to detect attacks on your web application · Configure IIS and ASP.NET to constrain buffer overflow, denial of service, and other attacks. · Write secure database access code. · Secure databases and database drivers. · Construct secure HTML markup to limit exposure to cross-site scripting and cross-site requ

Ruskeepaa, HeikkiMathematica Navigator is the only book you need to understand and use the new Mathematica. Part tutorial and part handbook, this updated guidebook provides a thorough introduction to the software plus practical information and tips for using Mathematica on a daily basis to solve mathematical problems. The book emphasizes the use of graphics, methods of applied mathematics and statistics, and programming. While no previous experience with Mathematica is required, most chapters also include advanced material so that the book will be a valuable resource for beginners and experienced users. You'll want to keep it close by your computer for easy reference. Based on recent releases of Mathematica With the CD-ROM, the whole book can be installed into the help system of Mathematica Most chapters, while starting from the basics, go up to advanced topics. It studies several real-life data sets.

This book explores the numerical implementation of Finite Element Analysis using the computer program MATLAB, which is very popular today in engineering and engineering education. The book contains a short tutorial on MATLAB as well as a systematic strategy for the treatment of finite element method. Useful to both students and researchers in engineering, it provides various examples and exercises from mechanical, civil and aerospace engineering, as well as from materials science. The book especially stresses the interactive use of MATLAB, with each example solved in an interactive manner. The accompanying CD-ROM includes more than fifty MATLAB functions specifically written to be used with this book in the form of a MATLAB Finite Element Toolbox. An extensive solutions manual is provided as well, which includes detailed solutions to all the problems in the book for classroom use.

El mantenimiento y reparación del PC es, desde sus albores, un tema clásico en la informática, siempre útil, siempre de actualidad. Sin embargo, el universo del hardware es grande, complejo y difícil de abarcar en un solo libro. Esta guia de certificacion ofrece multiples posibilidades para aprender a resolver problemas en los ordenadores. Abarca desde los temas de seguridad mas importantes hasta el funcionamiento de las fuentes de alimentacion y refrigeracion de los equipos. El indice esta cuajado de materias para todas las opciones y gustos. Contiene toda la informacion necesaria para aprobar los examenes de certificacion CompTIA A+ 220-701 y 220-702, por lo que sirve para aprender y practicar todos los temas relacionados con el hardware. Incluso si nunca ha oido hablar del examen CompTIA y solo quiere empezar a reparar y dar mantenimiento a ordenadores, este libro tambien es muy adecuado. Los elementos visuales le ayudaran a acelerar el aprendizaje. El DVD contiene varios examenes de muestra completos y provechosas herramientas y utilidades en ingles.

To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks

La cantidad de datos que se manejan diariamente en el mundo es inimaginable: cada día se procesan 2,5 trillones de bytes de datos. No es de extrañar que la profesión de científico de datos haya sido considerada la mas atractiva del siglo XXI por The New York Times, y que todas las universidades del mundo tengan el punto de mira puesto en nuevos grados, masteres y doctorados que formen a este tipo de cientifico tan demandado y valorado por el sector publico asi como, especialmente, por el sector privado empresarial y la investigacion cientifica de base. La nueva revolucion tecnologica esta completamente vinculada a la instantaneidad, lo cual requiere el procesamiento de datos, su analisis y la toma de decisiones que de el se desprenden en tiempo real. La obra Fundamentos de ciencia de datos con R nace con la pretension de ser la Biblia para los cientificos de datos. Se ha dejado a disposicion del lector una version online de este manual en el siguiente enlace https://cdr-book.github.io/ para facilitar la reproducibilidad del libro, concretamente los cuadros de codigo R.