ODP.NET Developer's Guide: Oracle Database 10g Development with Visual Studio 2005 and the Oracle Data Provider for .NET. A practical guide for developers working with the Oracle Data Provider for .NET and the Oracle Developer Tools for Visual Studio 2005

Sunitha Paruchuri, Jagadish Chatarji Pulakhandam, Jagadish Pulakhandam

The Oracle Data Provider for .NET (ODP.NET) features optimized data access to the Oracle database from a .NET environment and allows developers to take advantage of advanced Oracle database functionality, including Real Application Clusters, XML DB, and advanced security. It can be used from any .NET language, including C# and VB.NET.This book is a practical guide that will give you the in-depth information you need to work with the Oracle 10g v10.2 database from Visual Studio .NET 2005, using the Oracle Developer Tools and ODP.NET. After introducing ODP.NET, we move on to dealing with SQL, PL/SQL, and XML DB using ODP.NET. Next we look at application development with ODP.NET: Web Applications, Web Services, and Mobile Applications. The last chapter covers Oracle Developer Tools for Visual Studio .NET. All the code examples are in Visual Basic.NET 2005.https://www.packtpub.com/article/ODP-dot-net-oracle-data-provider-table-of-conten - Read the full Table of Contents for ODP.NET Developer's GuideChapter-by-ChapterChapter 1 introduces the concept of Oracle Database Extensions for .NET and provides information about Oracle Developer tools for Visual Studio.Chapter 2 introduces the Provider Independent Model in ADO.NET 2.0, and shows how to connect to Oracle databases from .NET, working with .NET data providers, connection pooling, system privileged connection, and single sign-on etc.Chapter 3 shows you several methods to retrieve data from an Oracle database. You will work with the core ODP.NET classes like OracleCommand, OracleDataReader, OracleDataAdapter, OracleParameter and ADO.NET classes like Dataset, DataTable, and DataRow etc.Chapter 4 is about inserting, updating, and deleting data in the database. You will also learn about statement caching, array binding, working with offline data, implementing transactions, and handling errors and exceptions encountered during database work.Chapter 5 deals with working with PL/SQL blocks, PL/SQL stored procedures, and functions. It also teaches you how to execute routines in PL/SQL packages, how to pass and receive arrays from the Oracle database, and working with REF CURSOR using ODP.NET.Chapter 6 is completely dedicated to dealing with Large objects in Oracle. This chapter illustrates concepts, configurations, and programming for BFILE, BLOB, and CLOB (or NCLOB) in conjunction with ODP.NET.Chapter 7 gives details about Oracle XML DB, an add-on feature of Oracle database. It provides information about generating XML from existing rows in tables, manipulating rows in a table using XML, and working with native XML in the Oracle database.Chapter 8 deals with real-time application development scenarios like Oracle database change notifications, Asynchronous Application development, Web Application development using ASP.NET 2.0, Web Reporting (including grouping, sub-totals, charts etc.), Object-Oriented Development with ODP.NET and ASP.NET, XML Web Services development using ODP.NET and Smart Device Application development (for clients like the Pocket PC etc.).Chapter 9 introduces you to Oracle Developer Tools for Visual Studio 2005. It teaches you to connect to Oracle from the Visual Studio 2005 environment, retrieve Oracle information from Visual Studio, and work with database objects from Visual Studio. It also provides information about how to create and debug PL/SQL stored procedures and .NET CLR Stored Procedures in Oracle.

Software Architecture for Busy Developers. Talk and act like a software architect in one weekend

Stéphane Eyskens

Are you a seasoned developer who likes to add value to a project beyond just writing code? Have you realized that good development practices are not enough to make a project successful, and you now want to embrace the bigger picture in the IT landscape? If so, you're ready to become a software architect; someone who can deal with any IT stakeholder as well as add value to the numerous dimensions of software development.The sheer volume of content on software architecture can be overwhelming. However, Software Architecture for Busy Developers is here to help. Written by Stéphane Eyskens, author of The Azure Cloud Native Mapbook, this audiobook guides you through your software architecture journey in a pragmatic way using real-world scenarios. By drawing on over 20 years of consulting experience, Stéphane will help you understand the role of a software architect, without the fluff or unnecessarily complex theory.You'll begin by understanding what non-functional requirements mean and how they concretely impact target architecture. The audiobook then covers different frameworks used across the entire enterprise landscape with the help of use cases and examples. Finally, you'll discover ways in which the cloud is becoming a game changer in the world of software architecture.By the end of this audiobook, you'll have gained a holistic understanding of the architectural landscape, as well as more specific software architecture skills. You'll also be ready to pursue your software architecture journey on your own - and in just one weekend!

Hands-On Ethical Hacking Tactics. Strategies, tools, and techniques for effective cyber defense

Shane Hartman, Ken Dunham

If you’re an ethical hacker looking to boost your digital defenses and stay up to date with the evolving cybersecurity landscape, then this book is for you. Hands-On Ethical Hacking Tactics is a comprehensive guide that will take you from fundamental to advanced levels of ethical hacking, offering insights into both offensive and defensive techniques. Written by a seasoned professional with 20+ years of experience, this book covers attack tools, methodologies, and procedures, helping you enhance your skills in securing and defending networks.The book starts with foundational concepts such as footprinting, reconnaissance, scanning, enumeration, vulnerability assessment, and threat modeling. Next, you’ll progress to using specific tools and procedures for hacking Windows, Unix, web servers, applications, and databases. The book also gets you up to speed with malware analysis. Throughout the book, you’ll experience a smooth transition from theoretical concepts to hands-on techniques using various platforms. Finally, you’ll explore incident response, threat hunting, social engineering, IoT hacking, and cloud exploitation, which will help you address the complex aspects of ethical hacking.By the end of this book, you’ll have gained the skills you need to navigate the ever-changing world of cybersecurity.

Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

Serg Masís, Aleksander Molak, Denis Rothman

Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models.Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps.In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability.By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.

Machine Learning for Finance. Principles and practice for financial insiders

Jannes Klaas

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways.The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.

scikit-learn: Machine Learning Simplified. Implement scikit-learn into every step of the data science pipeline

Guillermo Moncecchi, Raul G Tompson, Trent Hauck, Gavin Hackeling

Machine learning, the art of creating applications that learn from experience and data, has been around for many years. Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility; moreover, within the Python data space, scikit-learn is the unequivocal choice for machine learning. The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. You will learn to incorporate machine learning in your applications. Ranging from handwritten digit recognition to document classification, examples are solved step-by-step using scikit-learn and Python. By the end of this course you will have learned how to build applications that learn from experience, by applying the main concepts and techniques of machine learning.

Tkinter GUI Application Development Blueprints. Master GUI programming in Tkinter as you design, implement, and deliver 10 real-world applications

Bhaskar Chaudhary

Tkinter is the built-in GUI package that comes with standard Python distributions. It is a cross-platform package, which means you build once and deploy everywhere. It is simple to use and intuitive in nature, making it suitable for programmers and non-programmers alike. This book will help you master the art of GUI programming. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications such as a text editor, drum machine, game of chess, media player, drawing application, chat application, screen saver, port scanner, and many more. In every project, you will build on the skills acquired in the previous project and gain more expertise. You will learn to write multithreaded programs, network programs, database driven programs and more. You will also get to know the modern best practices involved in writing GUI apps. With its rich source of sample code, you can build upon the knowledge gained with this book and use it in your own projects in the discipline of your choice.

Learn Computer Forensics. A beginner's guide to searching, analyzing, and securing digital evidence

William Oettinger

A computer forensics investigator must possess a variety of skills, including the ability to answer legal questions, gather and document evidence, and prepare for an investigation. This book will help you get up and running with using digital forensic tools and techniques to investigate cybercrimes successfully. Starting with an overview of forensics and all the open source and commercial tools needed to get the job done, you'll learn core forensic practices for searching databases and analyzing data over networks, personal devices, and web applications. You'll then learn how to acquire valuable information from different places, such as filesystems, e-mails, browser histories, and search queries, and capture data remotely. As you advance, this book will guide you through implementing forensic techniques on multiple platforms, such as Windows, Linux, and macOS, to demonstrate how to recover valuable information as evidence. Finally, you'll get to grips with presenting your findings efficiently in judicial or administrative proceedings.By the end of this book, you'll have developed a clear understanding of how to acquire, analyze, and present digital evidence like a proficient computer forensics investigator.