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Protecting Oracle Database 12c
by Paul WrightProtecting Oracle Database 12c helps you solve the problem of maximizing the safety, resilience, and security of an Oracle database whilst preserving performance, availability, and integration despite ongoing and new security issues in the software. The book demonstrates, through coded examples, how you can enable the consolidation features of Oracle Database 12c without increasing risk of either internal corruption or external vulnerability. In addition, new protections not publicly available are included, so that you can see how demonstrable risk improvements can be achieved, measured, and reported through Enterprise Manager 12c. Most importantly, the challenge of privileged access control within a consolidation environment will be addressed, thus enabling a safe move to greater efficiency. What you'll learnOracle database security issues and how to defend against new risks introduced by Oracle Database 12c and pre-existing architectural vulnerabilities, such as incoming DBlinksControl and audit the use of SYS privilege over a large estate using native toolsUse Oracle native audit as an IPS to block threats in real-timeLeverage root segregation to secure Oracle DBSecure privileged access control and break-glass sessionsScale automated security controls through Enterprise Manager to a large estateImprove your ability to pass audits and stay compliantWho this book is for Protecting Oracle Database 12c is primarily aimed at Oracle database administrators, DBA managers, and security staff who are working to safely and securely implement Oracle Database 12c in their environment. The book especially targets those using privileged access control to enable consolidation and the new cloud features set, including it s multi-tenant database capabilities. Table of ContentsPART I. SECURITY OVERVIEW AND HISTORY1. Oracle Security History2. Current state of the Art3. Extrapolating Current TrendsPART II. DEFENSE COOKBOOK4. Managing Users in Oracle5. Oracle Vulnerability Scanner6. Centralized Native Auditing and IPS7. Pluggable Database PrimerPART III. SECURITY IN THE 12C RELEASE8. New Security Features in 12C9. Design Flaws, Fixed and Remaining in 12C10. New Security Issues in 12C11. Advanced Defenses and Forensic ResponsePART IV. SECURITY IN CONSOLIDATION12. Privileged Access Control Foundations 13. Privileged Access Control Methods 14. Securing Privileged Access Control Systems 15. Rootkit Checker and Security MonitoringPART V. ARCHITECTURAL RISK MANAGEMENT16. Oracle Security Architecture Foundations17. Enterprise Manager 12c As a Security Tool18. Defending Enterprise Manager 12c19. The Cloud and Privileged Access20. Management and Conclusions"
Protection of Information and the Right to Privacy - A New Equilibrium?
by Luciano FloridiThis book presents the latest research on the challenges and solutions affecting the equilibrium between freedom of speech, freedom of information, information security and the right to informational privacy. Given the complexity of the topics addressed, the book shows how old legal and ethical frameworks may need to be not only updated, but also supplemented and complemented by new conceptual solutions. Neither a conservative attitude ("more of the same") nor a revolutionary zeal ("never seen before") is likely to lead to satisfactory solutions. Instead, more reflection and better conceptual design are needed, not least to harmonise different perspectives and legal frameworks internationally. The focus of the book is on how we may reconcile high levels of information security with robust degrees of informational privacy, also in connection with recent challenges presented by phenomena such as "big data" and security scandals, as well as new legislation initiatives, such as those concerning "the right to be forgotten" and the use of personal data in biomedical research. The book seeks to offer analyses and solutions of the new tensions, in order to build a fair, shareable and sustainable balance in this vital area of human interactions.
Protein Families
by Christine Orengo Vladimir Uversky Alex BatemanNew insights into the evolution and nature of proteinsExploring several distinct approaches, this book describes the methods for comparing protein sequences and protein structures in order to identify homologous relationships and classify proteins and protein domains into evolutionary families. Readers will discover the common features as well as the key philosophical differences underlying the major protein classification systems, including Pfam, Panther, SCOP, and CATH. Moreover, they'll discover how these systems can be used to understand the evolution of protein families as well as understand and predict the degree to which structural and functional information are shared between relatives in a protein family.Edited and authored by leading international experts, Protein Families offers new insights into protein families that are important to medical research as well as protein families that help us understand biological systems and key biological processes such as cell signaling and the immune response. The book is divided into three sections: Section I: Concepts Underlying Protein Family Classification reviews the major strategies for identifying homologous proteins and classifying them into families. Section II: In-Depth Reviews of Protein Families focuses on some fascinating super protein families for which we have substantial amounts of sequence, structural and functional data, making it possible to trace the emergence of functionally diverse relatives. Section III: Review of Protein Families in Important Biological Systems examines protein families associated with a particular biological theme, such as the cytoskeleton.All chapters are extensively illustrated, including depictions of evolutionary relationships. References at the end of each chapter guide readers to original research papers and reviews in the field.Covering protein family classification systems alongside detailed descriptions of select protein families, this book offers biochemists, molecular biologists, protein scientists, structural biologists, and bioinformaticians new insight into the evolution and nature of proteins.
Prototyping Essentials with Axure Second Edition
by Elizabeth Srail Ezra SchwartzA handson guide filled with practical examples to device/OS independent User Experience Strategy with Axure 7. If you are a UX practitioner, a business analyst involved UX projects, or a product manager involved in UX projects, this book is for you. Consultants or inhouse staff who work for agencies or individual practitioners will also benefit from this book. Familiarity with Axure will help but is not mandatory.
Proxmox High Availability
by Simon M.C. ChengIf you want to know the secrets of virtualization and how to implement high availability on your services, this is the book for you. For those of you who are already using Proxmox, this book offers you the chance to build a high availability cluster with a distributed filesystem to further protect your system from failure.
Prozesseigner: Wissen & Methoden für Manager von Unternehmensprozessen (Xpert.press)
by Carlo Simon Bernd HientzschDieses Buch richtet sich gezielt an die große Gruppe der Prozesseigner, die in ihrem Unternehmen für einen oder mehrere Geschäfts- und Produktionsprozesse verantwortlich sind. Ihre Rolle ist wichtig, damit Prozessmanagement insgesamt gelingt. Geschulte Prozesseigner ermöglichen Standards zu etablieren und dezentral erkannte Verbesserungspotenziale zu erschließen. Hierzu müssen sie Führungsverantwortung übernehmen, ohne über disziplinarische Durchgriffsmöglichkeiten zu verfügen. Dieses Buch bietet Prozesseignern praxisnah konkrete Anleitungen, wie sie ihrer Aufgabe gerecht werden.
Puppet Essentials
by Felix FrankIf you're an experienced IT professional or a new Puppet user, Puppet Essentials provides you with all you need to know to go from installation to advanced automation in no time at all. Experience with system operations and server management as well as the Ruby language, is helpful to get the most out of this book.
Puppet Reporting and Monitoring
by Michael DuffyAn easy to follow guide with extensive examples to explain Puppet's reporting capabilities to facilitate effective implementation of Puppet in the real world as a reporting tool.If you are a Puppet developer or a system administrator using Puppet, and you want to extend your expertise to manage and optimize your server resources, then this book is for you.
Python 3 Text Processing with NLTK 3 Cookbook
by Jacob PerkinsThis book is intended for Python programmers interested in learning how to do natural language processing. Maybe you've learned the limits of regular expressions the hard way, or you've realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This Cookbook will show you how to train and use statistical language models to process text in ways that are practically impossible with standard programming tools. A basic knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.
Python Algorithms
by Magnus Lie HetlandPython Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.
Python Data Analysis
by Ivan IdrisThis book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Python for Finance
by Yuxing YanA hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Python for Finance
by Yves HilpischThe financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
Python for Finance: Mastering Data-Driven Finance
by Yves HilpischThe financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Python for Scientists
by John M. StewartPython is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.
Python for Scientists
by John M. StewartPython is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.
Python for Secret Agents
by Steven F. LottIf you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.
Python for Signal Processing
by José UnpingcoThis book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to "experiment and learn" as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.
Python. Leksykon kieszonkowy. Wydanie V
by Mark LutzPodr?czny przewodnik po j?zyku Python!J?zyk Python obecny jest na rynku od ponad 20 lat. Opracowany zosta? na pocz?tku lat dziewi??dziesi?tych XX wieku i b?yskawicznie zacz?? zdobywa? uznanie programistów na ca?ym ?wiecie. Python sprawdza si? doskonale w pisaniu skryptów oraz narz?dzi, a w du?ym projekcie tak?e nie zawiedzie oczekiwa?. J?zyk ten korzysta z automatycznego zarz?dzania pami?ci? oraz umo?liwia obiektowe i funkcyjne podej?cie do tworzonego programu. Jednym z jego najwa?niejszych atutów jest bardzo silna spo?eczno?? programistów, wymieniaj?ca si? na bie??co informacjami na temat praktycznych zastosowa? tego j?zyka. Dzi?ki temu uzyskanie odpowiedzi na trapi?ce Ci? pytania nie powinno stanowi? problemu.Je?eli jednak chcesz mie? zawsze pod r?k? sprawdzone ?ród?o informacji, które pozwoli Ci w ka?dej sytuacji rozwia? w?tpliwo?ci, to trafi?e? na doskona?? pozycj?. Nale?y ona do serii „Leksykon kieszonkowy” i charakteryzuje si? niezwykle zwi?z?ym, przejrzystym uk?adem najwa?niejszych tre?ci oraz por?czn? form?. Znajdziesz tu szczegó?owe informacje na temat typów wbudowanych, wyj?tków, programowania obiektowego oraz przetwarzania nazw i regu? zasi?gu. Kolejne wydanie tej ksi??ki zosta?o ulepszone i zaktualizowane o mnóstwo nowych informacji, takich jak wykorzystanie Python Launcher w systemie Windows czy formalne regu?y dziedziczenia. To doskona?e ?ród?o informacji na temat j?zyka Python!Dzi?ki tej ksi??ce: poznasz podstawy Pythona zapoznasz si? z zasadami programowania w tym j?zyku poznasz typy wbudowane wykorzystasz standardowe modu?y b?dziesz mie? zawsze pod r?k? solidne ?ród?o informacji o PythonieNajlepsze rozwi?zania typowych problemów!
Python Network Programming Cookbook
by Dr M. SarkerAn easy-to-follow guide full of hands-on examples on real-world networking tasks. It covers the advanced topics of network programming in Python using a set of selected recipes. If you are a network programmer, system/network administrator, or a web application developer, this book is ideal for you. You should have a basic familiarity with the Python programming language and TCP/IP networking concepts. However if you are a novice, you will develop an understanding of the concepts as you progress with this book. This book will serve as a supplementary material for developing hands-on skills in any academic course on network programming.
Python Programming for Biology
by Tim J. Stevens Wayne BoucherDo you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.
Python Projects
by Laura Cassell Alan GauldA guide to completing Python projects for those ready to take their skills to the next levelPython Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects.The preeminent guide to bridge the gap between learning and doing, this book walks readers through the "where" and "how" of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, Python Projects details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and individuals alike.Python Projects is written specifically for those who know the Python syntax and lay of the land, but may still be intimidated by larger, more complex projects. The book provides a walk-through of the basic set-up for an application and the building and packaging for a library, and explains in detail the functionalities related to the projects. Topics include:*How to maximize the power of the standard library modules*Where to get third party libraries, and the best practices for utilization*Creating, packaging, and reusing libraries within and across projects*Building multi-layered functionality including networks, data, and user interfaces*Setting up development environments and using virtualenv, pip, and moreWritten by veteran Python trainers, the book is structured for easy navigation and logical progression that makes it ideal for individual, classroom, or corporate training.For Python developers looking to apply their skills to real-world challenges, Python Projects is a goldmine of information and expert insight.
The Python Quick Syntax Reference
by Gregory WaltersThe Python Quick Syntax Reference is the "go to" book that contains an easy to read and useguide to Python programming and development. This condensed code and syntaxreference presents the Python language in a well-organized format designed tobe used time and again. You won't find jargon, bloated samples, case studies, or history of Hello Worldand computer theory in this handy reference. This Python syntax reference ispacked with useful information and is a must-have for any Python developer. What you'll learn Variables, strings, lists, dictionaries andconditional statements are and how to use them Some of the standard libraries and what they cando to help you How to write your own functions How to write your first Python program based onterminal Input and Output How to use the Python Interactive Shell How to use classes in your Python programs Who this book is for The Python Quick Syntax Reference is a great pocket reference guide for anyone wanting to program in Python, from the new user to the experienced programmer. Table of Contents Chapter 1: Hello Python Chapter 2: Variables Chapter 3: Operators Chapter 4: Strings Chapter 5: Conditional Statements and Loops Chapter 6: Data Structures Chapter 7: Keywords Chapter 8: Functions Chapter 9: Libraries Chapter 10: Classes
Python. Receptury. Wydanie III
by David Beazley Brian K. JonesPython to j?zyk programowania z ponad 20-letni? histori?. Opracowany na pocz?tku lat 90. ubieg?ego wieku, b?yskawicznie zdoby? sympati? programistów. Jest u?ywany zarówno do pisania przydatnych skryptów czy ma?ych narz?dzi, jak i do pracy nad du?ymi projektami. Korzysta z automatycznego zarz?dzania pami?ci? oraz pozwala na podej?cie obiektowe i funkcyjne do tworzonego programu. Wokó? j?zyka Python skupiona jest bardzo silna spo?eczno?? programistów.Ta ksi??ka to sprawdzone ?ród?o informacji na temat Pythona i jego najcz?stszych zastosowa?. Nale?y ona do cenionej serii „Receptury”, w której znajdziesz najlepsze sposoby rozwi?zywania problemów. Przekonaj si?, jak wydajnie operowa? na strukturach danych, ?a?cuchach znaków, tek?cie i liczbach. Zobacz, jak korzysta? z iteratorów i generatorów. Ponadto naucz si? tworzy? w?asne klasy i funkcje oraz sprawd?, jak uzyska? dost?p do plików i sieci. Te i dziesi?tki innych receptur opisano w tej ksi??ce. To obowi?zkowa pozycja na pó?ce ka?dego programisty pracuj?cego z j?zykiem Python.Dzi?ki tej ksi??ce:poznasz podstawy j?zyka Pythonrozwi??esz w optymalny sposób najcz?stsze problemynapiszesz program korzystaj?cy z puli w?tkówb?dziesz lepszym programist? Pythona!Najlepsze rozwi?zania typowych problemów!
Python Tools for Visual Studio
by Martino Sabia Cathy WangThis is a hands-on guide that provides exemplary coverage of all the features and concepts related to PTVS. The book is intended for developers who are aiming to enhance their productivity in Python projects with automation tools that Visual Studio provides for the .Net community. Some basic knowledge of Python programming is essential.