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Learn Microsoft Project 2019: Streamline project, resource, and schedule management with Microsoft's project management software
by Srikanth ShirodkarExplore detailed explanations and examples to get up and running with the five phases of the project management lifecycle and integrate project management principles in a variety of projects Key Features Explore various algorithms and the latest features of MS Project to organize and keep track of your projects Understand Work Breakdown Structure (WBS) to improve productivity Apply real-world best practices and discover the tips, tricks, and pitfalls of schedule management Book Description Microsoft Project is one of the most popular project management tools for enterprises of all sizes thanks to its wide variety of features such as project scheduling, project budgeting, built-in templates, and reporting tools. Learning Microsoft Project 2019 will get you started with the basics and gradually guide you through the complete project life cycle. Starting with an overview of Microsoft Project 2019 and a brief introduction to project management concepts, this book will take you through the different phases of project management – initiation, planning, execution, control, and closure. You will then learn how to identify and handle problems related to scheduling, costing, resourcing, and work allocation. Understand how to use dynamic reports to create powerful, automated reports and dashboards at the click of a button. This Microsoft Project book highlights the pitfalls of overallocation and demonstrates how to avoid and resolve these issues using a wide spectrum of tools, techniques, and best practices. Finally, you will focus on executing Agile projects efficiently and get to grips with using Kanban and Scrum features. By the end of this book, you will be well-versed with Microsoft Project and have the skills you need to use it effectively in every stage of project management. What you will learn Create efficient project plans using Microsoft Project 2019 Get to grips with resolving complex issues related to time, budget, and resource allocation Understand how to create automated dynamic reports Identify and protect the critical path in your project and mitigate project risks Become well-versed with executing Agile projects using MS Project Understand how to create custom reports and make them available for future projects Who this book is for If you use Microsoft Office and are looking to use MS Project to manage your projects efficiently, this book is for you. Project managers or anyone interested in project management will also find this book useful. Basic knowledge of Windows UI and MS Office products is required.
Mastering Delphi Programming: Learn all about building fast, scalable, and high performing applications with Delphi
by Primož GabrijelčičUse structural, behavioral, and concurrent patterns in Delphi to skillfully develop applications Key Features Delve into the core patterns and components of Delphi to enhance your application's design Learn how to select the right patterns to improve your program's efficiency and productivity Discover how parallel programming and memory management can optimize your code Book Description Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time. This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements. By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects. This Learning Path includes content from the following Packt products: Delphi High Performance by Primoz Gabrijelcic Hands-On Design Patterns with Delphi by Primoz Gabrijelcic What you will learn Understand parallel programming and work with the various tools included with Delphi Explore memory managers and their implementation Leverage external libraries to write better-performing programs Keep up to date with the latest additions and design techniques in Delphi Get to grips with various modern multithreading approaches Break a design problem down into its component parts Who this book is for This Learning Path is for intermediate-level Delphi programmers who want to build robust applications using Delphi features. Prior knowledge of Delphi is assumed.
Microsoft Power Platform Functional Consultant: Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
by Julian SharpGet up to speed with expert tips, techniques, and the latest insights to confidently take the PL-200 examKey FeaturesLearn effectively with the help of self-assessment questions, mock tests, and detailed explanations in this up-to-date study guideAddress the challenges faced by a functional consultant in day-to-day activitiesUnderstand how to configure, customize, and implement solutions based on Power PlatformBook DescriptionThe Power Platform Functional Consultant Associate (PL-200) exam tests and validates the practical skills of Power Platform users who are proficient in developing solutions by combining the tools in Power Platform and the Microsoft 365 ecosystem based on business needs. This certification guide offers complete, up-to-date coverage of the PL-200 exam so you can prepare effectively for the exam. Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations of solutions, this book covers common day-to-day activities involved in configuring Power Platform, such as managing entities, creating apps, implementing security, and managing system change. You'll also explore the role of a functional consultant in creating a data model in the Microsoft Dataverse (formerly Common Data Service). Moving ahead, you'll learn how to design the user experience and even build model-driven and canvas apps. As you progress, the book will show you how to manage automation and create chatbots. Finally, you'll understand how to display your data with Power BI and integrate Power Platform with Microsoft 365 and Microsoft Teams. By the end of this book, you'll be well-versed with the essential concepts and techniques required to prepare for the PL-200 certification exam.What you will learnUnderstand how to build apps that meet customer needsExtend the schema for Dataverse with entities, fields, and relationshipsCreate and configure automations to simplify user activitiesExplore various security features in Power Platform and learn how to implement themUse multiple data sources to create task- or role-based web and mobile applications for usersAutomate business processes and enhance the user experience with Power Automate and UI FlowsIntegrate various applications within the Microsoft ecosystem with Power PlatformWho this book is forThis book is for functional consultants and business analysts who are involved in implementing solutions based on Power Platform or Dynamics 365. As the PL-200 exam is a pre-requisite for other role-based certifications in Power Platform and Microsoft Dynamics 365, individuals pursuing their careers in these domains will also find this book helpful. Basic knowledge of Power Platform and access to a Power Platform environment are required to get started with this book.
Deploying Microsoft 365 Teamwork: Expert tips, techniques, and practices to pass the MS-300 exam on the first attempt
by Aaron GuilmettePrepare to achieve Microsoft 365 Certified Teamwork Administrator Associate certification by learning essential SharePoint Online concepts, and answering self-assessment questions to test your knowledge Key Features Cover essential topics based on the MS-300 exam, and learn with the help of detailed explanations Understand the collaborative features of SharePoint, both on-premises and as part of the Office 365 service Work through practice questions relating to business use cases for SharePoint Server and Online Book Description The Microsoft MS-300 exam is designed to test the knowledge and skills of administrators in deploying, configuring, and managing SharePoint Online, SharePoint Server, SharePoint Hybrid, OneDrive for Business, and Teams. This book offers up-to-date coverage of the important topics based on the MS-300 exam and features question answers and insider tips to help you prepare for certification. Written in a clear, succinct way, the book starts by helping you configure and manage SharePoint Online. You'll then delve into OneDrive for Business, right from managing users and groups, through to monitoring sharing and security. Further chapters will guide you through working with Teams, with an emphasis on managing identity authentication, resolving issues with the service, and even observing usage patterns. Later, you'll get up to speed with workload integrations, covering the Yammer business communications platform, before moving on to understand how to integrate Microsoft Stream with SharePoint, Teams, and Yammer. Finally, you'll learn to develop data governance and user adoption strategies. By the end of this book, you'll be well-versed with SharePoint Online and have learned the essential techniques and concepts you need to know in order to pass the MS-300 certification exam. What you will learn Discover the different Microsoft services and features that make up Office 365 Configure cloud services for your environment and extend your infrastructure's capabilities Understand site architecture, site settings, and hub settings in SharePoint Online Explore business connectivity services for view and access options in SharePoint Online Configure Yammer to integrate with Office 365 groups, SharePoint, and Teams Deploy SharePoint Online, OneDrive for Business, and Microsoft Teams successfully, including bots and connectors Who this book is for This book is for SharePoint developers, administrators, or those who want to explore Microsoft's teamwork solution platforms and pass the certification exam to boost their career as Microsoft Teamwork Administrator Associates. Anyone who has achieved Microsoft's entry-level admin certification and wants to progress to intermediate certification will also find this book useful.
Empowering Marketing and Sales with HubSpot: Take your business to a new level with HubSpot's inbound marketing, SEO, analytics, and sales tools
by Resa GoodingLeverage HubSpot to reach your target audience with the right content and convert them into loyal customersKey FeaturesExplore a full software stack for marketing, sales, and customer services to grow your businessUnderstand how to organize, track, and build better relationships with leads and customersLearn to prioritize and execute your marketing tasks in an efficient wayBook DescriptionEmpowering Marketing and Sales with HubSpot is your comprehensive solution to using HubSpot to achieve your business goals with a flexible and lean approach. With this book, you'll implement out-of-the-box solutions provided by HubSpot for sales and marketing professionals using all the tools needed to effectively manage your business campaigns, sales, and marketing automation processes.This book will take you through steps to ensure your investment in HubSpot pays off from Day 1. You'll learn how to set up HubSpot correctly and understand how to generate quick wins for your organization. Next, you will work with important HubSpot tools for SEO, social media, and ads. The book will also show you how to use HubSpot for conversational marketing and create a marketing funnel using HubSpot's lead capture and engagement tools. In addition to this, you will get to grips with building custom reports, dashboards, and notifications to stay on top of company marketing goals. Later, you will learn how to use HubSpot for inbound marketing and for every type of business, such as manufacturing, agriculture, and eCommerce.By the end of this HubSpot book, you will have the skills you need to be able to set up effective marketing campaigns and leverage the insights gleaned from sales efforts using just one platform.What you will learnExplore essential steps involved in implementing HubSpot correctlyBuild ideal marketing and sales campaigns for your organizationManage your sales process and empower your sales teams using HubSpotGet buy-in from your management and colleagues by setting up useful reportsUse Flywheel strategies to increase sales for your businessApply the inbound methodology to scale your marketingRe-engage your existing database using the HubSpot retargeting ads toolUnderstand how to use HubSpot for any B2B industry in which you operateWho this book is forThis HubSpot marketing book is for sales and marketing professionals, business owners, and entrepreneurs who want to use HubSpot for scaling their sales and marketing activities. A basic understanding of key marketing terms is required to get started with this book.
The Python Workshop: A Practical, No-Nonsense Introduction to Python Development
by Andrew Bird Graham Lee Dr Lau Han Mario Corchero Jimenez Corey WadeCut through the noise and get real results with a step-by-step approach to learning Python 3.X programming Key Features Experimental projects showcasing the implementation of high-performance deep learning models with Keras. Use-cases across reinforcement learning, natural language processing, GANs and computer vision. Build strong fundamentals of Keras in the area of deep learning and artificial intelligence Book Description You already know you want to learn Python, and a smarter way to learn Python 3 is to learn by doing. The Python Workshop focuses on building up your practical skills so that you can work towards building up your machine learning skills as a data scientist, write scripts that help automate your life and save you time, or even create your own games and desktop applications. You'll learn from real examples that lead to real results. Throughout The Python Workshop, you'll take an engaging step-by-step approach to understanding Python. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning about Python scripting. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical copy of The Python Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive free content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your Python book. Fast-paced and direct, The Python Workshop is the ideal companion for Python beginners. You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Learn how to write clean and concise code with Python 3 Understand classes and object-oriented programming Tackle entry-level data science and create engaging visualizations Use Python to create responsive, modern web applications Automate essential day-to-day tasks with Python scripts Get started with predictive Python machine learning Who this book is for This book is designed for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner's book, it will help if you already know standard programming topics, such as variables, if-else statements, and functions. Experience with another object-oriented program is beneficial, but not mandatory.
Microsoft 365 Certified Fundamentals: Expert tips and techniques to pass the MS-900 certification exam on the first attempt
by Aaron Guilmette Marcos ZanreThis book is intended for beginners and experienced administrators and individuals who want to pass the MS-900 as part of the journey to attain other Microsoft 365 certifications. The book assumes a basic knowledge of Microsoft services and cloud concepts.
PostgreSQL 12 High Availability Cookbook: Over 100 recipes to design a highly available server with the advanced features of PostgreSQL 12, 3rd Edition
by Shaun ThomasA comprehensive guide to understanding key techniques for architecture and hardware planning, monitoring, replication, backups, and decoupling Key Features Newly updated edition, covering the latest PostgreSQL 12 features with hands-on industry-driven recipes Create a PostgreSQL cluster that stays online even when disaster strikes Learn how to avoid costly downtime and data loss that can ruin your business Book Description Databases are nothing without the data they store. In the event of an outage or technical catastrophe, immediate recovery is essential. This updated edition ensures that you will learn the important concepts related to node architecture design, as well as techniques such as using repmgr for failover automation. From cluster layout and hardware selection to software stacks and horizontal scalability, this PostgreSQL cookbook will help you build a PostgreSQL cluster that will survive crashes, resist data corruption, and grow smoothly with customer demand. You'll start by understanding how to plan a PostgreSQL database architecture that is resistant to outages and scalable, as it is the scaffolding on which everything rests. With the bedrock established, you'll cover the topics that PostgreSQL database administrators need to know to manage a highly available cluster. This includes configuration, troubleshooting, monitoring and alerting, backups through proxies, failover automation, and other considerations that are essential for a healthy PostgreSQL cluster. Later, you'll learn to use multi-master replication to maximize server availability. Later chapters will guide you through managing major version upgrades without downtime. By the end of this book, you'll have learned how to build an efficient and adaptive PostgreSQL 12 database cluster. What you will learn Understand how to protect data with PostgreSQL replication tools Focus on hardware planning to ensure that your database runs efficiently Reduce database resource contention with connection pooling Monitor and visualize cluster activity with Nagios and the TIG (Telegraf, InfluxDB, Grafana) stack Construct a robust software stack that can detect and avert outages Use multi-master to achieve an enduring PostgreSQL cluster Who this book is for This book is for Postgres administrators and developers who are looking to build and maintain a highly reliable PostgreSQL cluster. Although knowledge of the new features of PostgreSQL 12 is not required, a basic understanding of PostgreSQL administration is expected.
Mastering PostgreSQL 12: Advanced techniques to build and administer scalable and reliable PostgreSQL database applications, 3rd Edition
by Hans-Jurgen SchonigMaster PostgreSQL 12 features such as advanced indexing, high availability, monitoring, and much more to efficiently manage and maintain your database Key Features Grasp advanced PostgreSQL 12 concepts with real-world examples and sample datasets Explore query parallelism, data replication, database administration, and more Extend PostgreSQL functionalities to suit your organization's needs with minimal effort Book Description Thanks to its reliability, robustness, and high performance, PostgreSQL has become the most advanced open source database on the market. This third edition of Mastering PostgreSQL helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both physical and technical aspects of system architecture with ease. Starting with an introduction to the newly released features in PostgreSQL 12, this book will help you build efficient and fault-tolerant PostgreSQL applications. You'll thoroughly examine the advanced features of PostgreSQL, including logical replication, database clusters, performance tuning, monitoring, and user management. You'll also work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and understand how to move from Oracle to PostgreSQL. As you progress through the chapters, you'll cover transactions, locking, indexes, and how to optimize queries for improved performance. Additionally, you'll learn how to manage network security and explore backups and replications while understanding useful PostgreSQL extensions to help you in optimizing the performance of large databases. By the end of this PostgreSQL book, you'll be able to get the most out of your database by implementing advanced administrative tasks effortlessly. What you will learn Understand the advanced SQL functions in PostgreSQL 12 Use indexing features in PostgreSQL to fine-tune the performance of queries Work with stored procedures and manage backup and recovery Master replication and failover techniques to reduce data loss Replicate PostgreSQL database systems to create backups and to scale your database Manage and improve the security of your server to protect your data Troubleshoot your PostgreSQL instance for solutions to common and not-so-common problems Who this book is for This book is for PostgreSQL developers and administrators and database professionals who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 12. Prior exposure to PostgreSQL as well as familiarity with the basics of database administration is expected.
3D Graphics Rendering Cookbook: A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
by Sergey Kosarevsky Viktor LatypovBuild a 3D rendering engine from scratch while solving problems in a step-by-step way with the help of useful recipesKey FeaturesLearn to integrate modern rendering techniques into a single performant 3D rendering engineLeverage Vulkan to render 3D content, use AZDO in OpenGL applications, and understand modern real-time rendering methodsImplement a physically based rendering pipeline from scratch in Vulkan and OpenGLBook DescriptionOpenGL is a popular cross-language, cross-platform application programming interface (API) used for rendering 2D and 3D graphics, while Vulkan is a low-overhead, cross-platform 3D graphics API that targets high-performance applications. 3D Graphics Rendering Cookbook helps you learn about modern graphics rendering algorithms and techniques using C++ programming along with OpenGL and Vulkan APIs.The book begins by setting up a development environment and takes you through the steps involved in building a 3D rendering engine with the help of basic, yet self-contained, recipes. Each recipe will enable you to incrementally add features to your codebase and show you how to integrate different 3D rendering techniques and algorithms into one large project. You'll also get to grips with core techniques such as physically based rendering, image-based rendering, and CPU/GPU geometry culling, to name a few. As you advance, you'll explore common techniques and solutions that will help you to work with large datasets for 2D and 3D rendering. Finally, you'll discover how to apply optimization techniques to build performant and feature-rich graphics applications.By the end of this 3D rendering book, you'll have gained an improved understanding of best practices used in modern graphics APIs and be able to create fast and versatile 3D rendering frameworks.What you will learnImprove the performance of legacy OpenGL applicationsManage a substantial amount of content in real-time 3D rendering enginesDiscover how to debug and profile graphics applicationsUnderstand how to use the Approaching Zero Driver Overhead (AZDO) philosophy in OpenGLIntegrate various rendering techniques into a single applicationFind out how to develop Vulkan applicationsImplement a physically based rendering pipeline from scratchIntegrate a physics library with your rendering engineWho this book is forThis book is for 3D graphics developers who are familiar with the mathematical fundamentals of 3D rendering and want to gain expertise in writing fast rendering engines with advanced techniques using C++ libraries and APIs. A solid understanding of C++ and basic linear algebra, as well as experience in creating custom 3D applications without using premade rendering engines is required.
CISA - Certified Information Systems Auditor Study Guide: Aligned with the CISA Review Manual 2019 to help you audit, monitor, and assess information systems
by Hemang DoshiThis CISA exam study guide is designed for those with a non-technical background who are interested in achieving CISA certification and are currently employed or looking to gain employment in IT audit and security management positions.
Systems Engineering Demystified: A practitioner's handbook for developing complex systems using a model-based approach
by Jon HoltGet to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systemsKey FeaturesDiscover how to manage increased complexity and understand systems better via effective communicationAdopt a proven model-based approach for systems engineering in your organizationApply proven techniques for requirements, design, validation and verification, and systems engineering managementBook DescriptionSystems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects.What you will learnUnderstand the three evils of systems engineering - complexity, ambiguous communication, and lack of understandingRealize successful systems using model-based systems engineeringUnderstand the concept of life cycles and how they control the evolution of a systemExplore processes and related concepts such as activities, stakeholders, and resourcesDiscover how needs fit into the systems life cycle and which processes are relevant and how to comply with themFind out how design, verification, and validation fit into the life cycle and processesWho this book is forThis book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of systems engineering. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.
The Machine Learning Workshop: Get ready to develop your own high-performance machine learning algorithms with scikit-learn, 2nd Edition
by Hyatt SalehTake a comprehensive and step-by-step approach to understanding machine learning Key Features Discover how to apply the scikit-learn uniform API in all types of machine learning models Understand the difference between supervised and unsupervised learning models Reinforce your understanding of machine learning concepts by working on real-world examples Book Description Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms. The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one. By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms. What you will learn Understand how to select an algorithm that best fits your dataset and desired outcome Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN Discover different approaches to solve machine learning classification problems Develop neural network structures using the scikit-learn package Use the NN algorithm to create models for predicting future outcomes Perform error analysis to improve your model's performance Who this book is for The Machine Learning Workshop is perfect for machine learning beginners. You will need Python programming experience, though no prior knowledge of scikit-learn and machine learning is necessary.
Principles of Strategic Data Science: Creating value from data, big and small
by Peter PrevosTake the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionWe offer you Packt Select - a new, selective range of books on unique topics. We have identified and acquired these books and made it available to you through our brand. These books provides a smooth learning experience using real-world examples and best practices. Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take te data-driven approach. Prior programming knowledge of Python and R is assumed.
Learn Selenium: Build data-driven test frameworks for mobile and web applications with Selenium Web Driver 3
by Unmesh Gundecha Carl CocchiaroLearn end-to-end automation testing techniques for web and mobile browsers using Selenium WebDriver, AppiumDriver, Java, and TestNG Key Features Explore the Selenium grid architecture and build your own grid for browser and mobile devices Use ExtentReports for processing results and SauceLabs for cloud-based test services Unlock the full potential of Selenium to test your web applications. Book Description Selenium WebDriver 3.x is an open source API for testing both browser and mobile applications. With the help of this book, you can build a solid foundation and can easily perform end-to-end testing on web and mobile browsers.You'll begin by being introduced to the Selenium Page Object Model for software development. You'll architect your own framework with a scalable driver class, Java utility classes, and support for third-party tools and plugins. You'll design and build a Selenium grid from scratch to enable the framework to scale and support different browsers, mobile devices, and platforms.You'll strategize and handle a rich web UI using the advanced WebDriver API and learn techniques to handle real-time challenges in WebDriver. You'll perform different types of testing, such as cross-browser testing, load testing, and mobile testing. Finally, you will also be introduced to data-driven testing, using TestNG to create your own automation framework.By the end of this Learning Path, you'll be able to design your own automation testing framework and perform data-driven testing with Selenium WebDriver. This Learning Path includes content from the following Packt products: Selenium WebDriver 3 Practical Guide - Second Edition by Unmesh Gundecha Selenium Framework Design in Data-Driven Testing by Carl Cocchiaro What you will learn Use different mobile and desktop browser platforms with Selenium 3 Use the Actions API for performing various keyboard and mouse actions Design the Selenium Driver Class for local, remote, and third-party grid support Build page object classes with the Selenium Page Object Model Develop data-driven test classes using the TestNG framework Encapsulate data using the JSON protocol Build a Selenium Grid for RemoteWebDriver testing Build and use utility classes in synchronization, file I/O, reporting and test listener classes Who this book is for This Learning Path is ideal for software quality assurance/testing professionals, software project managers, or software developers interested in using Selenium for testing their applications. Professionals responsible for designing and building enterprise-based testing frameworks will also find this Learning Path useful. Prior programming experience in Java are TestNG is necessary.
Mastering Metasploit - Fourth Edition
by Nipun JaswalThis book targets professional penetration testers, security engineers, and law enforcement analysts who possess a basic knowledge of Metasploit, wish to master the Metasploit framework, and want to develop exploit and module development skills. Further, it helps all those researchers who want to add their custom functionalities to Metasploit. The book discusses Ruby programming and attack scripting using Cortana. A little knowledge and programming experience with Ruby and Cortana are required.
Clean Code in C#: Refactor your legacy C# code base and improve application performance by applying best practices
by Jason AllsDevelop your programming skills by exploring essential topics such as code reviews, implementing TDD and BDD, and designing APIs to overcome code inefficiency, redundancy, and other problems arising from bad code Key Features Write code that cleanly integrates with other systems while maintaining well-defined software boundaries Understand how coding principles and standards enhance software quality Learn how to avoid common errors while implementing concurrency or threading Book Description Traditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices. The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You'll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You'll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you've studied API design and discovered tools for improving code quality, you'll look at examples of bad code and understand which coding practices you should avoid. By the end of this clean code book, you'll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code. What you will learn Write code that allows software to be modified and adapted over time Implement the fail-pass-refactor methodology using a sample C# console application Address cross-cutting concerns with the help of software design patterns Write custom C# exceptions that provide meaningful information Identify poor quality C# code that needs to be refactored Secure APIs with API keys and protect data using Azure Key Vault Improve your code's performance by using tools for profiling and refactoring Who this book is for This coding book is for C# developers, team leads, senior software engineers, and software architects who want to improve the efficiency of their legacy systems. A strong understanding of C# programming is required.
Project Management Professional (PMP)® Certification Study Guide
by J. Ashley HuntThis book is for experienced project managers looking for a common language and best practices in the project management space who wish to gain certification and improve their career growth potential. A minimum of 5 to 7 years of experience in leading and directing projects in a variety of industries will be useful.
Django 3 Web Development Cookbook: Actionable solutions to common problems in Python web development, 4th Edition
by Aidas Bendoraitis Jake KronikaPractical recipes for building fast, robust, and secure web apps using Django 3 and Python Key Features Explore the latest version of Django, and learn effectively with the help of practical examples Follow a task-based approach to develop professional web apps using Django and Python Learn to deploy, scale, and secure apps using Docker and Amazon Web Services(AWS) Book Description Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process. This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual websites, ready to be shared on social networks. The book will take you through uploading and processing images, rendering data in HTML5, PDF, and Excel, using and creating APIs, and navigating different data types in Django. You'll become well-versed in security best practices and caching techniques to enhance your website's security and speed. This edition not only helps you work with the PostgreSQL database but also the MySQL database. You'll also discover advanced recipes for using Django with Docker and Ansible in development, staging, and production environments. By the end of this book, you will have become proficient in using Django's powerful features and will be equipped to create robust websites. What you will learn Discover how to set the basic configurations to start any Django project Understand full-stack web application development using Django Build a database structure using reusable model mixins Implement security, performance, and deployment features in your web apps Import data from local sources and external web services and export it to your app Secure web applications against malicious usage and find and fix common performance bottlenecks Who this book is for This Django book is for Python web developers who want to build fast and secure web apps that can scale over time. You'll also find this book useful if you want to upgrade to the latest Django framework. Knowledge of Python 3, along with a basic understanding of the Django framework will help you make the most of this book.
TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
by Praveen PalanisamyDiscover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learningKey FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and servicesExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic methodCustomize and build RL-based applications for performing real-world tasksBook DescriptionWith deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you'll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch.What you will learnBuild deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras APIImplement state-of-the-art deep reinforcement learning algorithms using minimal codeBuild, train, and package deep RL agents for cryptocurrency and stock tradingDeploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud servicesSpeed up agent development using distributed DNN model trainingExplore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)Who this book is forThe book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x.
The Docker Workshop: Learn how to use Docker containers effectively to speed up the development process
by Vincent Sesto Aric Renzo Onur Yilmaz Sathsara Sarathchandra Engy FoudaGet started with Docker on your local machine and progress towards deploying useful applications in production with this simplified, practical guideKey FeaturesGet a working understanding of Docker containers by incorporating them in your development processComplete interesting exercises to learn how to secure and control access of your containersWork with advanced features of Docker to make your development process smoother and reliable Book DescriptionNo doubt Docker Containers are the future of highly-scalable software systems and have cost and runtime efficient supporting infrastructure. But learning it might look complex as it comes with many technicalities. This is where The Docker Workshop will help you.Through this workshop, you'll quickly learn how to work with containers and Docker with the help of practical activities.The workshop starts with Docker containers, enabling you to understand how it works. You'll run third party Docker images and also create your own images using Dockerfiles and multi-stage Dockerfiles. Next, you'll create environments for Docker images, and expedite your deployment and testing process with Continuous Integration. Moving ahead, you'll tap into interesting topics and learn how to implement production-ready environments using Docker Swarm. You'll also apply best practices to secure Docker images and to ensure that production environments are running at maximum capacity. Towards the end, you'll gather skills to successfully move Docker from development to testing, and then into production. While doing so, you'll learn how to troubleshoot issues, clear up resource bottlenecks and optimize the performance of services.By the end of this workshop, you'll be able to utilize Docker containers in real-world use cases.What you will learnGet a solid understanding of how Docker containers workNetwork Docker images and environments to allow communication between servicesBuild and publish docker images from a CI/CD pipelineUse Docker Swarm to implement production-ready environmentsFind out how to replace Swarm with Kubernetes clustersExtend your Docker images with PluginsWho this book is forThis is the right learning asset if you are a developer or a beginner who wants to get a practical understanding of Docker containers. If you have experienced in running command shells or knowledge of IntelliJ, atom, or VSCode editors, then you will grasp the topics covered here quickly.
Artificial Intelligence for IoT Cookbook: Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities
by Michael RoshakImplement machine learning and deep learning techniques to perform predictive analytics on real-time IoT dataKey FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook DescriptionArtificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is forIf you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
by Sam MorleyThis book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.
Agile Technical Practices Distilled: Become agile and efficient by mastering software design
by Pedro M. Santos Marco Consolaro Alessandro Di GioiaDelve deep into the various technical practices, principles, and values of Agile. Key Features Discover the essence of Agile software development and the key principles of software design Explore the fundamental practices of Agile working, including test-driven development (TDD), refactoring, pair programming, and continuous integration Learn and apply the four elements of simple design Book Description The number of popular technical practices has grown exponentially in the last few years. Learning the common fundamental software development practices can help you become a better programmer. This book uses the term Agile as a wide umbrella and covers Agile principles and practices, as well as most methodologies associated with it. You'll begin by discovering how driver-navigator, chess clock, and other techniques used in the pair programming approach introduce discipline while writing code. You'll then learn to safely change the design of your code using refactoring. While learning these techniques, you'll also explore various best practices to write efficient tests. The concluding chapters of the book delve deep into the SOLID principles - the five design principles that you can use to make your software more understandable, flexible and maintainable. By the end of the book, you will have discovered new ideas for improving your software design skills, the relationship within your team, and the way your business works. What you will learn Apply the red, green, refactor cycle of TDD to solve procedural problems Implement the various techniques used in the pair programming approach Use code smells as feedback Test your production code using mocks and stubs Refactor legacy code to bring it in line with modern Agile standards Apply the object calisthenics ruleset to enhance your software design Who this book is for This book is designed for software developers looking to improve their technical practices. Software coaches may also find it helpful as a teaching reference manual. This is not a beginner's book on how to program. You must be comfortable with at least one programming language and must be able to write unit tests using any unit testing framework.
Tableau Desktop Certified Associate: Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
by Dmitry Anoshin JC Gillet Fabian Peri Radhika Biyani Gleb MakarenkoLearn through hands-on exercises covering a variety of topics including data connections, analytics, and dashboards to effectively prepare for the Tableau Desktop Certified Associate exam Key Features Prepare for the Tableau Desktop Certified Associate exam with the help of tips and techniques shared by experts Implement Tableau's advanced analytical capabilities such as forecasting Delve into advanced Tableau features and explore best practices for building dashboards Book Description The Tableau Desktop Certified Associate exam measures your knowledge of Tableau Desktop and your ability to work with data and data visualization techniques. This book will help you to become well-versed in Tableau software and use its business intelligence (BI) features to solve BI and analytics challenges. With the help of this book, you'll explore the authors' success stories and their experience with Tableau. You'll start by understanding the importance of Tableau certification and the different certification exams, along with covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. The book builds on your knowledge of advanced Tableau topics such as table calculations for solving problems. You'll learn to effectively visualize geographic data using vector maps. Later, you'll discover the analytics capabilities of Tableau by learning how to use features such as forecasting. Finally, you'll understand how to build and customize dashboards, while ensuring they convey information effectively. Every chapter has examples and tests to reinforce your learning, along with mock tests in the last section. By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the authors. What you will learn Apply Tableau best practices to analyze and visualize data Use Tableau to visualize geographic data using vector maps Create charts to gain productive insights into data and make quality-driven decisions Implement advanced analytics techniques to identify and forecast key values Prepare customized table calculations to compute specific values Answer questions based on the Tableau Desktop Certified Associate exam with the help of mock tests Who this book is for This Tableau certification book is for business analysts, BI professionals, and data analysts who want to become certified Tableau Desktop Associates and solve a range of data science and business intelligence problems using this example-packed guide. Some experience in Tableau Desktop is expected to get the most out of this book.