Reliable and Secure Distributed Programming, Second Edition
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Average rating: 0 out of 5 stars, based on 0 reviews Write a review. Christian Cachin. Tell us if something is incorrect. Book Format: Choose an option. Add to Cart. About This Item We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here, and we have not verified it. See our disclaimer. What's Inside Clear coverage of Python 3Core libraries, packages, and toolsIn-depth exercisesFive new data science-related chapters About the Reader Written for readers familiar with programming concepts—no Python experience assumed.
She has been learning, using, and teaching Python since Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations.
Static source code analysis gives users the ability to review their work with a fine-toothed comb and uncover the kinds of errors that lead directly to security vulnerabilities. Static analysis experts Brian Chess and Jacob West look at the most common types of security defects that occur today. They illustrate main points using Java and C code examples taken from real-world security incidents, showing how coding errors are exploited, how they could have been prevented, and how static analysis can rapidly uncover similar mistakes. This book is for everyone concerned with building more secure software: developers, security engineers, analysts, and testers.
This book shows you how to apply advanced static analysis techniques to create more secure, more reliable software. Well-written, easy to read, tells you what you need to know. This book gives them the security development knowledge and the tools they need in order to eliminate vulnerabilities before they move into the final products that can be exploited.
Introduction to Reliable and Secure Distributed Programming - 图书 - 豆瓣
He holds a Ph. He brings expertise in numerous programming languages, frameworks, and styles together with deep knowledge about how real-world systems fail. The Red Team Field Manual RTFM is a no fluff, but thorough reference guide for serious Red Team members who routinely find themselves on a mission without Google or the time to scan through a man page. The RTFM contains the basic syntax for commonly used Linux and Windows command line tools, but it also encapsulates unique use cases for powerful tools such as Python and Windows PowerShell. The RTFM will repeatedly save you time looking up the hard to remember Windows nuances such as Windows wmic and dsquery command line tools, key registry values, scheduled tasks syntax, startup locations and Windows scripting.
More importantly, it should teach you some new red team techniques.
Introduction to Reliable and Secure Distributed Programming
Includes an appendix on a measurement methodology that describes a way of analyzing and modelling the performance of multiuser systems using sophisticated tools. Get more from your data through creating practical machine learning systems with PythonAbout This Book Build your own Python-based machine learning systems tailored to solve any problemDiscover how Python offers a multiple context solution for create machine learning systemsPractical scenarios using the key Python machine learning libraries to successfully implement in your projectsWho This Book Is For This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.
Python is a wonderful language to develop machine learning applications. This tutorial will show how to define knowledge and related states such as common knowledge for an arbitrarily chosen protocol. The connection between distributed coordination and states of knowledge will be shown. Moreover, the applicability of knowledge theory as a fine tool for analyzing problems and protocols in distributed computing will be illustrated, yielding both lower bounds and upper bounds.
Finally, we review a number of classical and newer results providing insight into problems involving coordination in distributed systems using the knowledge terminology.
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The presentation is aimed at a general DISC audience, and will not assume familiarity with logics or logical notation.