Mastering Oracle Scheduler in Oracle 11g Databases. Schedule, manage, and execute jobs in Oracle 11g Databases that automate your business processes using Oracle Scheduler with this book and

Ronald Rood

Scheduler (DBMS_SCHEDULER) is included in Oracle Database and is a tool for the automation, management, and control of jobs. It enables users to schedule jobs running inside the database such as PL/SQL procedures or PL/SQL blocks, as well as jobs running outside the database like shell scripts. Scheduler ensures that jobs are run on time, automates business processes, and optimizes the use of available resources.You just need to specify a fixed date and time and Scheduler will do the rest. What if you don't know the precise time to execute your job? Nothing to worry about, you can specify an event upon which you want your job to be done and Scheduler will execute your job at the appropriate time. Although scheduling sounds quite easy, it requires programming skills and knowledge to set up such a powerful, intelligent scheduler for your project.This book is your practical guide to DBMS_SCHEDULER for setting up platform-independent schedules that automate the execution of time-based or event-based job processes. It will show you how to automate business processes, and help you manage and monitor those jobs efficiently and effectively. It explains how Scheduler can be used to achieve the tasks you need to make happen in the real world. With a little understanding of how the Scheduler can be used and what kind of control it gives, you will be able to recognize the real power that many known enterprise-class schedulers ñ with serious price tags ñ cannot compete with.You will see how running a specific program can be made dependent on the successful running of certain other programs, and how to separate various tasks using the built-in security mechanisms. You will learn to manage resources to balance the load on your system, and gain increased database performance.

Mastering GitHub Actions. Advance your automation skills with the latest techniques for software integration and deployment

Eric Chapman

Navigating GitHub Actions often leaves developers grappling with inefficiencies and collaboration bottlenecks. Mastering GitHub Actions offers solutions to these challenges, ensuring smoother software development.With 16 extensive chapters, this book simplifies GitHub Actions, walking you through its vast capabilities, from team and enterprise features to organization defaults, self-hosted runners, and monitoring tools. You’ll learn how to craft reusable workflows, design bespoke templates, publish actions, incorporate external services, and introduce enhanced security measures. Through hands-on examples, you’ll gain best-practice insights for team-based GitHub Actions workflows and discover strategies for maximizing organization accounts.Whether you’re a software engineer or a DevOps guru, by the end of this book, you'll be adept at amplifying productivity and leveraging automation's might to refine your development process.

Kubernetes and Docker - An Enterprise Guide. Effectively containerize applications, integrate enterprise systems, and scale applications in your enterprise

Scott Surovich, Marc Boorshtein

Containerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment.The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD).By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.

Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology

Tiago R Antao, Tiago Antao

Python: Penetration Testing for Developers. Execute effective tests to identify software vulnerabilities

Christopher Duffy, Mohit Raj, Cameron Buchanan, Andrew Mabbitt, ...

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level.In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat.In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert.Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Penetration Testing with Python by Christopher Duffy? Python Penetration Testing Essentials by Mohit? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound

Tizen Cookbook. Over 100 hands-on recipes to develop, deploy, and debug applications using the exciting Tizen platform

Leon Anavi

jQuery Mobile Web Development Essentials. Build a powerful and practical jQuery-based framework in order to create mobile-optimized websites - Third Edition

Raymond Camden, Andy Matthews

jQuery Mobile is a HTML5-based touch-optimized web framework. jQuery Mobile can be used to build responsive cross-platform websites and apps for a wide range of smartphones, tablets, and desktop devices. The jQuery Mobile framework can be integrated with other mobile app frameworks such as PhoneGap, IBM Worklight, and more.Introduction to jQuery Mobile explains how to add the framework to your HTML pages to create rich, mobile-optimized web pages with minimal effort. You’ll learn how to use jQuery Mobile’s automatic enhancements and configure the framework for customized, powerful mobile-friendly websites. We then dig into forms, events, and styling. You'll see how jQuery Mobile automatically enhances content, and will find out how to use the JavaScript API to build complex sites. We’ll introduce you to how jQuery Mobile can be themed as well looking into how JavaScript can be used for deep sets of customizations. The examples are ready to run and can be used to help kick-start your own site. Along the way, you will leverage all the concepts you learn to build three sample mobile applications.

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines

Kirill Kolodiazhnyi

C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples.This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format.By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.