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Real-Time 3D Graphics with WebGL 2: Build interactive 3D applications with JavaScript and WebGL 2 (OpenGL ES 3.0), 2nd Edition
by Diego Cantor Farhad GhayourA comprehensive guide with 80+ examples on 3D programming in WebGL 2, covering computer graphics topics such as rendering, 3D math, camera, and moreKey FeaturesCreate visually stunning, high-performance 3D applications for the web with WebGL 2A complete course on 3D computer graphics: rendering, 3D math, lighting, cameras, and moreUnlock a variety of new and advanced features offered in WebGL 2Book DescriptionAs highly interactive applications have become an increasingly important part of the user experience, WebGL is a unique and cutting-edge technology that brings hardware-accelerated 3D graphics to the web. Packed with 80+ examples, this book guides readers through the landscape of real-time computer graphics using WebGL 2. Each chapter covers foundational concepts in 3D graphics programming with various implementations. Topics are always associated with exercises for a hands-on approach to learning.This book presents a clear roadmap to learning real-time 3D computer graphics with WebGL 2. Each chapter starts with a summary of the learning goals for the chapter, followed by a detailed description of each topic. The book offers example-rich, up-to-date introductions to a wide range of essential 3D computer graphics topics, including rendering, colors, textures, transformations, framebuffers, lights, surfaces, blending, geometry construction, advanced techniques, and more. With each chapter, you will "level up" your 3D graphics programming skills. This book will become your trustworthy companion in developing highly interactive 3D web applications with WebGL and JavaScript.What you will learnUnderstand the rendering pipeline provided in WebGLBuild and render 3D objects with WebGLDevelop lights using shaders, 3D math, and the physics of light reflectionCreate a camera and use it to navigate a 3D sceneUse texturing, lighting, and shading techniques to render realistic 3D scenesImplement object selection and interaction in a 3D sceneCover advanced techniques for creating immersive and compelling scenesLearn new and advanced features offered in WebGL 2Who this book is forThis book is intended for developers who are interested in building highly interactive 3D applications for the web. A basic understanding of JavaScript is necessary; no prior computer graphics or WebGL knowledge is required.
Building Serverless Python Web Services with Zappa: Build and deploy serverless applications on AWS using Zappa
by Abdulwahid Abdulhaque BarguzarMaster serverless architectures in Python and their implementation, with Zappa on three different frameworks.Key Features Scalable serverless Python web services using Django, Flask, and Pyramid. Learn Asynchronous task execution on AWS Lambda and scheduling using Zappa. Implementing Zappa in a Docker container.Book DescriptionServerless applications are becoming very popular these days, not just because they save developers the trouble of managing the servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application.This book will help you build serverless applications in a quick and efficient way. We begin with an introduction to AWS and the API gateway, the environment for serverless development, and Zappa. We then look at building, testing, and deploying apps in AWS with three different frameworks--Flask, Django, and Pyramid. Setting up a custom domain along with SSL certificates and configuring them with Zappa is also covered. A few advanced Zappa settings are also covered along with securing Zappa with AWS VPC.By the end of the book you will have mastered using three frameworks to build robust and cost-efficient serverless apps in Python.What you will learnBuild, test, and deploy a simple web service using AWS CLIIntegrate Flask-based Python applications, via AWS CLI configurationDesign Rest APIs integrated with Zappa for Flask and DjangoCreate a project in the Pyramid framework and configure it with ZappaGenerate SSL Certificates using Amazon Certificate ManagerConfigure custom domains with AWS Route 53Create a Docker container similar to AWS LambdaWho this book is forPython Developers who are interested in learning how to develop fast and highly scalable serverless applications in Python, will find this book useful
Hands-On Design Patterns with C++: Solve common C++ problems with modern design patterns and build robust applications
by Fedor G PikusC++ developers who are comfortable in programming in C++ and now want to learn how to implement design patterns to create robust, reusable and easily maintainable apps.
Learn Social Engineering: Learn the art of human hacking with an internationally renowned expert
by Erdal OzkayaImprove information security by learning Social Engineering.Key FeaturesLearn to implement information security using social engineeringGet hands-on experience of using different tools such as Kali Linux, the Social Engineering toolkit and so onPractical approach towards learning social engineering, for IT securityBook DescriptionThis book will provide you with a holistic understanding of social engineering. It will help you to avoid and combat social engineering attacks by giving you a detailed insight into how a social engineer operates.Learn Social Engineering starts by giving you a grounding in the different types of social engineering attacks,and the damages they cause. It then sets up the lab environment to use different toolS and then perform social engineering steps such as information gathering. The book covers topics from baiting, phishing, and spear phishing, to pretexting and scareware.By the end of the book, you will be in a position to protect yourself andyour systems from social engineering threats and attacks.All in all, the book covers social engineering from A to Z , along with excerpts from many world wide known security experts.What you will learnLearn to implement information security using social engineeringLearn social engineering for IT securityUnderstand the role of social media in social engineeringGet acquainted with Practical Human hacking skillsLearn to think like a social engineerLearn to beat a social engineerWho this book is forThis book targets security professionals, security analysts, penetration testers, or any stakeholder working with information security who wants to learn how to use social engineering techniques. Prior knowledge of Kali Linux is an added advantage
Django 2 Web Development Cookbook: 100 practical recipes on building scalable Python web apps with Django 2, 3rd Edition
by Aidas Bendoraitis Jake KronikaCreate unbelievably fast, robust and secure web apps with Django Web Framework and Python 3.8Key FeaturesDiscover solutions to a variety of web application scenarios, leveraging the power of the Django frameworkUnderstand URL routing, models, forms, templates, and RESTful services with Django 2.14Test, deploy, and scale your web applications efficiently with Amazon Web ServicesBook DescriptionDjango is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project.You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite.In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.What you will learnGet started with the basic configuration necessary to start any Django projectBuild a database structure out of reusable model mixinsSecure web applications against malicious usage and address common performance bottlenecksIntegrate with, and extend, the Django CMSConstruct and manage complex and deep hierarchiesImport data from local sources and external web services and export it to third partiesWho this book is forThis book is designed for Python developers working on fast and secure web apps that can scale over time. You’ll also find this book useful if you want to upgrade to latest Django framework. A background in Python 3 along with basic knowledge of the Django framework will be useful.
Hands-On Functional Programming with Typescript: Explore functional and reactive programming to create robust and testable TypeScript applications
by Remo H. JansenThis book is designed for readers without previous experience in functional programming with JavaScript, TypeScript or any other programming language. The reader must have some previous experience with TypeScript and web development. No previous knowledge about functional programming is required.
Mastering Bootstrap 4 - Second Edition: Master the latest version of Bootstrap 4 to build highly customized responsive web apps, 2nd Edition
by Benjamin JakobusBuild responsive, dynamic, and mobile-first applications on the web with Bootstrap 4 Key Features Master the art of creating highly intuitive and responsive web interfaces with Bootstrap 4 Combine the power of Bootstrap and popular front-end JavaScript frameworks such as Angular and React to build cutting-edge web apps Infuse your web pages with life and movement using Bootstrap jQuery plugins Book Description Bootstrap 4 is a free CSS and JavaScript framework that allows developers to rapidly build responsive web interfaces. This book will help you use and adapt Bootstrap to produce enticing websites that fit your needs. You will build a customized Bootstrap website from scratch, using various approaches to customize the framework with increasing levels of skill. You will get to grips with Bootstrap's key features and quickly discover various ways in which Bootstrap can help you develop web interfaces. Then take a walk through the fundamental features, such as its grid system, global styles, helper classes, and responsive utilities. When you have mastered these, you will discover how to structure page layouts, utilize Bootstrap's various navigation components, use forms, and style different types of content. Among other things, you will also tour the anatomy of a Bootstrap plugin, create your own custom components, and extend Bootstrap using jQuery. You will also understand what utility classes Bootstrap 4 has to offer, and how you can use them effectively to speed up the development of your website. Finally, you will discover how to optimize your website and integrate it with third-party frameworks. By the end of this book, you will have a thorough knowledge of the framework's ins and outs, and will be able to build highly customizable and optimized web interfaces. What you will learn Create a professional Bootstrap-based website from scratch without using third-party templates Leverage Bootstrap's powerful grid system Style various types of content and learn how to build a page's layout from scratch by applying the power of Bootstrap 4 Take advantage of Bootstrap's form helper and contextual classes Improve your website's overall user experience with headers and footers Infuse your web pages using Bootstrap jQuery plugins and create your own Bootstrap plugins Learn what utility classes Bootstrap 4 has to offer, how they are implemented, and the best way to use them. Create more advanced web interfaces by leveraging the power of accordions, dropdowns, and list groups. Incorporate Bootstrap into an AngularJS or React application and use Bootstrap components as AngularJS directivesWho this book is for This book targets readers who wish to leverage Bootstrap 4 to create responsive web applications. Basic knowledge of web development concepts and web technologies such as HTML, CSS, and JavaScript is required.
Solidity Programming Essentials: A beginner's guide to build smart contracts for Ethereum and blockchain
by Ritesh ModiLearn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum.Key FeaturesGet you up and running with Solidity Programming language Build Ethereum Smart Contracts with Solidity as your scripting language Learn to test and deploy the smart contract to your private Blockchain Book DescriptionSolidity is a contract-oriented language whose syntax is highly influenced by JavaScript, and is designed to compile code for the Ethereum Virtual Machine. Solidity Programming Essentials will be your guide to understanding Solidity programming to build smart contracts for Ethereum and blockchain from ground-up.We begin with a brief run-through of blockchain, Ethereum, and their most important concepts or components. You will learn how to install all the necessary tools to write, test, and debug Solidity contracts on Ethereum. Then, you will explore the layout of a Solidity source file and work with the different data types. The next set of recipes will help you work with operators, control structures, and data structures while building your smart contracts. We take you through function calls, return types, function modifers, and recipes in object-oriented programming with Solidity. Learn all you can on event logging and exception handling, as well as testing and debugging smart contracts.By the end of this book, you will be able to write, deploy, and test smart contracts in Ethereum. This book will bring forth the essence of writing contracts using Solidity and also help you develop Solidity skills in no time.What you will learnLearn the basics and foundational concepts of Solidity and Ethereum Explore the Solidity language and its uniqueness in depthCreate new accounts and submit transactions to blockchainGet to know the complete language in detail to write smart contractsLearn about major tools to develop and deploy smart contractsWrite defensive code using exception handling and error checkingUnderstand Truffle basics and the debugging processWho this book is forThis book is for anyone who would like to get started with Solidity Programming for developing an Ethereum smart contract. No prior knowledge of EVM is required.
Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform
by Sanket ThodgeCombine the power of analytics and cloud computing for faster and efficient insightsKey FeaturesMaster the concept of analytics on the cloud: and how organizations are using itLearn the design considerations and while applying a cloud analytics solutionDesign an end-to-end analytics pipeline on the cloudBook DescriptionWith the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementationWhat you will learn Explore the basics of cloud analytics and the major cloud solutions Learn how organizations are using cloud analytics to improve the ROI Explore the design considerations while adopting cloud services Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub Process your data with tools such as Cloud Dataproc, BigQuery, etcOver 70 GCP tools to build an analytics engine for cloud analytics Implement machine learning and other AI techniques on GCP Who this book is forThis book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.
Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition
by Imran BashirLearn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions.Key FeaturesGet to grips with the underlying technical principles and implementations of blockchainBuild powerful applications using Ethereum to secure transactions and create smart contractsExplore cryptography, mine cryptocurrencies, and solve scalability issues with this comprehensive guideBook DescriptionA blockchain is a distributed ledger that is replicated across multiple nodes and enables immutable, transparent and cryptographically secure record-keeping of transactions. The blockchain technology is the backbone of cryptocurrencies, and it has applications in finance, government, media and almost all other industries. Mastering Blockchain, Second Edition has been thoroughly updated and revised to provide a detailed description of this leading technology and its implementation in the real world. This book begins with the technical foundations of blockchain technology, teaching you the fundamentals of distributed systems, cryptography and how it keeps data secure. You will learn about the mechanisms behind cryptocurrencies and how to develop applications using Ethereum, a decentralized virtual machine. You will also explore different other blockchain solutions and get an introduction to business blockchain frameworks under Hyperledger, a collaborative effort for the advancement of blockchain technologies hosted by the Linux Foundation. You will also be shown how to implement blockchain solutions beyond currencies, Internet of Things with blockchain, blockchain scalability, and the future scope of this fascinating and powerful technology.What you will learnMaster the theoretical and technical foundations of the blockchain technologyUnderstand the concept of decentralization, its impact, and its relationship with blockchain technologyMaster how cryptography is used to secure data - with practical examplesGrasp the inner workings of blockchain and the mechanisms behind bitcoin and alternative cryptocurrenciesUnderstand the theoretical foundations of smart contractsLearn how Ethereum blockchain works and how to develop decentralized applications using Solidity and relevant development frameworksIdentify and examine applications of the blockchain technology - beyond currenciesInvestigate alternative blockchain solutions including Hyperledger, Corda, and many moreExplore research topics and the future scope of blockchain technologyWho this book is forThis book will appeal to those who wish to build fast, highly secure, transactional applications. It targets people who are familiar with the concept of blockchain and are comfortable with a programming language.
Practical Site Reliability Engineering
by Pethuru Raj Saravanan Pitchaimani Babu JayarajThis book will be a learning guide to help software developers, IT operational guys, DevOps engineers, performance specialists, and system engineers to understand how the emerging domain of SRE comes handy in automating and accelerating the process of designing, developing, debugging, deploying and delivering highly reliable applications and services.
.NET Standard 2.0 Cookbook: Develop high quality, fast and portable applications by leveraging the power of .NET Standard Library
by Fiqri IsmailGet the most out of .NET framework using standard libraries and create a .NET Standard 2.0 library from scratchKey Features Write code once and share within .NET ecosystem in Windows, Linux and macOS Give your .NET Libraries a common framework in cloud and on premise with the latest .NET Standard 2.0 Build a wide range of applications from Mobile with Xamarin to Web with ASP.NETBook DescriptionThe .NET Standard is a standard that represents a set of APIs that all .NET platforms have to implement, making it easy for developers to access and use one common library for their development needs. This book begins with a quick refresher, helping you understand the mechanics of the new standard and offering insight into how it works. You’ll explore the core library concepts, such as working with collections, configurations, I/O, security, and multithreading. You’ll explore the iOS and Android libraries of Xamarin and we’ll guide you through creating a .NET Standard 2.0 library, which you’ll use with both Android and iOS applications. In the final chapters, you’ll learn the various debugging and diagnostics tools to deliver quality libraries and create a NuGet package of the .NET Standard 2.0 library. By the end of this book, you’ll be able to expand your current workflow to various .NET flavors and have the essential skills to create a .NET Standard 2.0 library from scratch to package and deliver it to the world.What you will learn Create a .NET Standard 2.0 library Use System.IO within the .NET Standard 2.0 Make use of your legacy .NET libraries with the new .NET Core standard Explore the thread support to create a multithreaded .NET Standard 2.0 library Create a .NET Standard 2.0 library and use it with an Android and iOS application Implement various Visual Studio 2017 diagnostics and debugging tools Create a NuGet Package and submit the package to the NuGet Package Manager Use Visual Studio 2017 azure tools to deploy the application to Azure Test and deliver a .NET Standard 2.0 libraryWho this book is forThis book is for .NET developers who are looking to build dynamic applications with the latest .NET Standard. C# knowledge is required.
Learning Tableau 2019: Tools for Business Intelligence, data prep, and visual analytics, 3rd Edition
by Joshua N. MilliganCreate powerful data visualizations and unlock intelligent business insights with Tableau Key Features Explore all the latest Tableau 2019 features and redefine business analytics for your organization Create impressive data visualizations and interactive dashboards to get insights from your data Learn effective data storytelling to transform how your business leverages data and makes decisions Book Description Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making. What you will learn Develop stunning visualizations that explain complexity with clarity Explore the exciting new features of Tableau Desktop and Tableau Prep Connect to various data sources to bring all your data together Uncover techniques to prep and structure your data for easy analysis Create and use calculations to solve problems and enrich analytics Master advanced topics such as sets, LOD calcs, and much more Enable smart decisions with clustering, distribution, and forecasting Share your data stories to build a culture of trust and action Who this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book builds on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Working experience with databases will be useful but is not necessary to get the most out of this book.
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
by Michael BernicoDive deeper into neural networks and get your models trained, optimized with this quick reference guideKey FeaturesA quick reference to all important deep learning concepts and their implementationsEssential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and moreSupplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow.Book DescriptionDeep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples.You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks.By the end of this book, you will be able to solve real-world problems quickly with deep neural networks.What you will learn Solve regression and classification challenges with TensorFlow and Keras Learn to use Tensor Board for monitoring neural networks and its training Optimize hyperparameters and safe choices/best practices Build CNN's, RNN's, and LSTM's and using word embedding from scratch Build and train seq2seq models for machine translation and chat applications. Understanding Deep Q networks and how to use one to solve an autonomous agent problem. Explore Deep Q Network and address autonomous agent challenges.Who this book is forIf you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required.
Mastering Blockchain, Second Edition: Distributed Ledger Technology, Decentralization, And Smart Contracts Explained, 2nd Edition
by Imran BashirBlockchain is a distributed database that enables permanent, transparent, and secure storage of data. The blockchain technology is the backbone of cryptocurrency and it is gaining popularity with people who work in the finance, government, and arts sectors. This book is an up-to-date, one-stop guide to this leading technology and its implementation in the real world.
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras
by Raghav Bali Dipanjan Sarkar Tamoghna GhoshDeep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with transfer learning principles in Pythonimplement transfer learning to solve real-world research problemsPerform complex operations such as image captioning neural style transferBook DescriptionTransfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP).By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.What you will learnSet up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL modelsExplore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functionsGet to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLPWho this book is forHands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
Splunk 7 Essentials, Third Edition: Demystify Machine Data By Leveraging Datasets, Building Reports, And Sharing Powerful Insights, 3rd Edition
by J-P ContrerasThis book will uncover the new features in Splunk 7.
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity
by Ganesh Naik Ron BrashCreate simple to advanced shell scripts and enhance your system functionality with effective recipesKey FeaturesAutomate tedious and repetitive tasksCreate several novel applications ranging from a simple IRC logger to a Web ScraperManage your system efficiently by becoming a seasoned Bash userBook DescriptionIn Linux, one of the most commonly used and most powerful tools is the Bash shell. With its collection of engaging recipes, Bash Cookbook takes you through a series of exercises designed to teach you how to effectively use the Bash shell in order to create and execute your own scripts. The book starts by introducing you to the basics of using the Bash shell, also teaching you the fundamentals of generating any input from a command. With the help of a number of exercises, you will get to grips with the automation of daily tasks for sysadmins and power users. Once you have a hands-on understanding of the subject, you will move on to exploring more advanced projects that can solve real-world problems comprehensively on a Linux system. In addition to this, you will discover projects such as creating an application with a menu, beginning scripts on startup, parsing and displaying human-readable information, and executing remote commands with authentication using self-generated Secure Shell (SSH) keys.By the end of this book, you will have gained significant experience of solving real-world problems, from automating routine tasks to managing your systems and creating your own scripts.What you will learnUnderstand the basics of Bash shell scripting on a Linux systemGain working knowledge of how redirections and pipes interactRetrieve and parse input or output of any commandAutomate tasks such as data collection and creating and applying a patchCreate a script that acts like a program with different featuresCustomize your Bash shell and discover neat tricks to extend your programsCompile and install shell and log commands on your system's console using SyslogWho this book is forThe Bash Cookbook is for you if you are a power user or system administrator involved in writing Bash scripts in order to automate tasks. This book is also ideal if you are interested in learning how to automate complex daily tasks.
Practical Mobile Forensics - Third Edition: A Hands-on Guide To Mastering Mobile Forensics For The Ios, Android, And The Windows Phone Platforms
by Rohit TammaMobile phone forensics is the science of retrieving data from a mobile phone under forensically sound conditions. This book is an update to Practical Mobile Forensics, Second Edition and it delves into the concepts of mobile forensics and its importance in today’s world.
Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
by Benjamin Planche Eliot AndresA practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. This book is based on the alpha version of TensorFlow 2.Key FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and webpages and improve their performanceBook DescriptionComputer vision solutions are becoming increasingly common, making their way in fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface, and move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) to create and edit images, and LSTMs to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.What you will learnCreate your own neural networks from scratchClassify images with modern architectures including Inception and ResNetDetect and segment objects in images with YOLO, Mask R-CNN, and U-NetTackle problems in developing self-driving cars and facial emotion recognition systemsBoost your application’s performance with transfer learning, GANs, and domain adaptationUse recurrent neural networks for video analysisOptimize and deploy your networks on mobile devices and in the browserWho this book is forIf you’re new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you’re an expert curious about the new TensorFlow 2 features, you’ll find this book useful.While some theoretical explanations require knowledge in algebra and calculus, the book covers concrete examples for learners focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
by Maxim LapanThis practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms Keep up with the very latest industry developments, including AI-driven chatbotsBook DescriptionRecent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.What you will learn Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbotsWho this book is forSome fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.
Microsoft Dynamics 365 Enterprise Edition – Financial Management: Maximize your business productivity through modern financial management in Dynamics 365, 3rd Edition
by Mohamed Aamer Ala El DinBoost your accounting and financial skills with Microsoft Dynamics 365Key FeaturesMake real-time data-driven decisions for your enterprise with Microsoft Dynamics 365 Enterprise editionConfigure and set up the Microsoft Dynamics 365 financial module via highly useful tips and tricksAdminister customer relations and plan enterprise resources with this systematic guideBook DescriptionMicrosoft Dynamics 365 for finance and operations is a rapidly growing application and is widely used in enterprise organizations. Because of its ability to maximize business productivity, it is a fast-growing business application package in the ERP market.We will start by looking into ERP concepts, implementation needs, and interface design, giving you basic knowledge of financial management aspects and explaining key concepts along the way. To begin with, you'll be taken through the general ledger and financial dimension functions. You'll later learn about the sales tax mechanism and multi-currency in Microsoft Dynamics 365. We tackle each topic with focused examples and explanations on topics such as payable/receivable accounts, forecasting, cash and bank management, budgeting planning/control, and fixed assets. Finally, we walk you through intercompany, consolidation, costing basics, and financial reporting.By the end of this book, your finance team will have a much richer understanding of Microsoft Dynamics 365 for finance and operations and its powerful capabilities.What you will learnExamine the business logic behind the financial functionalities of Microsoft Dynamics 365 FFOSet up and configure the core modules of financial managementGrasp the key control points of financial managementExplore intercompany and consolidation in Microsoft Dynamics 365 FFOUnderstand multi-currency sales, tax mechanisms, and budgeting capabilities in Microsoft Dynamics 365 FFOGet to grips with month/year-end period close functionalityUnderstand the account payable and receivable moduleUse Microsoft Dynamics 365 to create financial reportsWho this book is forThis book is for application consultants, solution architects, controllers, CFOs, pre-sales and other professionals who are involved in a Microsoft Dynamics 365 for finance and operation implementation. Basic knowledge of financial terms, concepts, and terminologies is required.
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
by Dan ToomeyLeverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassleKey FeaturesCreate and share interactive documents with live code, text and visualizationsIntegrate popular programming languages such as Python, R, Julia, Scala with JupyterDevelop your widgets and interactive dashboards with these innovative recipesBook DescriptionJupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications.The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.What you will learnInstall Jupyter and configure engines for Python, R, Scala and moreAccess and retrieve data on Jupyter NotebooksCreate interactive visualizations and dashboards for different scenariosConvert and share your dynamic codes using HTML, JavaScript, Docker, and moreCreate custom user data interactions using various Jupyter widgetsManage user authentication and file permissionsInteract with Big Data to perform numerical computing and statistical modelingGet familiar with Jupyter's next-gen user interface - JupyterLabWho this book is forThis cookbook is for data science professionals, developers, technical data analysts, and programmers who want to execute technical coding, visualize output, and do scientific computing in one tool. Prior understanding of data science concepts will be helpful, but not mandatory, to use this book.
Getting Started with Tableau 2018.x: Get up and running with the new features of Tableau 2018 for impactful data visualization
by Tristan GuillevinLeverage the power of Tableau to get actionable business insights and make better business decisionsKey FeaturesExplore all the new features of Tableau 2018.xBegin your Tableau journey by understanding its core functionalitiesApply advanced techniques such as data blending and parameters to make the best of TableauBook DescriptionTableau is one of the leading business intelligence tools used worldwide, in organizations of every scale. In its latest release, Tableau 2018 promises richer and more useful features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2018.x will get you up and running with these features.The book starts with all the new functionalities of the different Tableau 2018 versions, along with concrete examples of how to use them. However, if you're new to Tableau, don't worry! The rest of the book will guide you through each major aspect of Tableau with examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and share it online. In the final chapters, you'll also learn advanced techniques such as creating a cross-database join, data blending, and more.By the end of the book, you will have a firm understanding of how to effectively use Tableau to create quick, cost-effective, and business-efficient business intelligence solutions.What you will learnDiscover new functionalities such as density, extensions, and transparency introduced in Tableau 2018.xConnect tables and make transformations such as pivoting the field and splitting columnsBuild an efficient data source for your analysisDesign insightful data visualization using different mark types and propertiesBuild powerful dashboards and stories Share your work and interact with Tableau ServerUse Tableau to explore your data and find new insightsExplore Tableau's advanced features and gear up for upcoming challengesWho this book is forIf you’re a beginner or an existing BI professional looking to get the most out of Tableau 2018's latest features, this book is for you. You’ll also find this book useful if you’re an aspiring analyst who wants to learn the capabilities of Tableau to answer business-specific questions. No prior knowledge or experience with Tableau or any other Business Intelligence tool is necessary.
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
by Denis RothmanBe an adaptive thinker that leads the way to Artificial IntelligenceKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceDevelop your own method for future AI solutionsAcquire advanced AI, machine learning, and deep learning design skillsBook DescriptionArtificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision.What you will learnUse adaptive thinking to solve real-life AI case studiesRise beyond being a modern-day factory code workerAcquire advanced AI, machine learning, and deep learning designing skillsLearn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technologyUnderstand future AI solutions and adapt quickly to themDevelop out-of-the-box thinking to face any challenge the market presentsWho this book is forArtificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.