Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy About This Book ? Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib ? Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more ? A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Who This Book Is For Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started. What You Will Learn ? Get a solid foundation in scientific computing using Python ? Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib ? Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy ? Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack ? Implement data wrangling tasks efficiently using pandas ? Visualize your data through various graphs and charts using matplotlib In Detail With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. Style and approach This book consists of hands-on recipes where you’ll deal with real-world problems. You’ll execute a series of tasks as you walk through scientific computing challenges using SciPy. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.

Architect your .NET applications by breaking them into really small pieces - microservices -using this practical, example-based guide. About This Book ? Start your microservices journey and get a broader perspective on microservices development using C# 7.0 with .NET Core 2.0 ? Build, deploy, and test microservices using ASP.Net Core, ASP.NET Core API, and Microsoft Azure Cloud ? Get the basics of reactive microservices Who This Book Is For This book is for .NET Core developers who want to learn and understand the microservices architecture and implement it in their .NET Core applications. It’s ideal for developers who are completely new to microservices or just have a theoretical understanding of this architectural approach and want to gain a practical perspective in order to better manage application complexities. What You Will Learn ? Get acquainted with Microsoft Azure Service Fabric ? Compare microservices with monolithic applications and SOA ? Learn Docker and Azure API management ? Define a service interface and implement APIs using ASP.NET Core 2.0 ? Integrate services using a synchronous approach via RESTful APIs with ASP.NET Core 2.0 ? Implement microservices security using Azure Active Directory, OpenID Connect, and OAuth 2.0 ? Understand the operation and scaling of microservices in .NET Core 2.0 ? Understand the key features of reactive microservices and implement them using reactive extensions In Detail The microservices architectural style promotes the development of complex applications as a suite of small services based on business capabilities. This book will help you identify the appropriate service boundaries within your business. We'll start by looking at what microservices are and their main characteristics. Moving forward, you will be introduced to real-life application scenarios; after assessing the current issues, we will begin the journey of transforming this application by splitting it into a suite of microservices using C# 7.0 with .NET Core 2.0. You will identify service boundaries, split the application into multiple microservices, and define service contracts. You will find out how to configure, deploy, and monitor microservices, and configure scaling to allow the application to quickly adapt to increased demand in the future. With an introduction to reactive microservices, you’ll strategically gain further value to keep your code base simple, focusing on what is more important rather than on messy asynchronous calls. Style and approach This guide serves as a stepping stone that helps .NET Core developers in their microservices architecture. This book provides just enough theory to understand the concepts and apply the examples.

This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools. About This Book ? Get a firm hold on the fundamentals of R through practical hands-on examples ? Get started with good R programming fundamentals for data science ? Exploit the different libraries of R to build interesting applications in R Who This Book Is For This books is for aspiring data science professionals or statisticians who would like to learn about the R programming language in a practical manner. Basic programming knowledge is assumed. What You Will Learn ? Discover techniques to leverage R’s features, and work with packages ? Perform a de*ive analysis and work with statistical models using R ? Work efficiently with objects without using loops ? Create diverse visualizations to gain better understanding of the data ? Understand ways to produce good visualizations and create reports for the results ? Read and write data from relational databases and REST APIs, both packaged and unpackaged ? Improve performance by writing better code, delegating that code to a more efficient programming language, or making it parallel In Detail R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable. Style and Approach This is an easy-to-understand guide filled with real-world examples, giving you a holistic view of R and practical, hands-on experience.

Develop your first interactive 2D and 3D platformer game by learning the fundamentals of C# About This Book ? This is a step-by-step guide to learn the fundamentals of C# 7 *ing to develop GameObjects and master the basics of the new UI system in Unity ? Build and develop your 2D game right from scratch while implementing the principles of object-oriented programming and coding in C# 7 ? Get to grips with the fundamentals of optimizing your game using the latest features of Unity 2017 Who This Book Is For The book is targeted at beginner level Unity developers with no programming experience. If you are a Unity developer and you wish to learn how to write C# *s and code by creating games, then this book is for you. What You Will Learn ? Learn C# 7 using new features like tuples, variables, and non-nullable reference types while building games ? Understand the fundamentals of variables, methods, and code syntax in C# ? Use loops and collections efficiently in Unity to reduce the amount of code ? Develop a game using the object-oriented programming principles ? Implement simple enemy characters into the game to learn point to point movement and Tree behaviors ? Avoid performance mistakes by implementing different optimization techniques ? Export 3D models and 3D animations and import them inside a Unity project ? With your new knowledge of coding, you will be able to look at Unity's Scripting Reference code examples with confidence In Detail With the latest version of Unity 2017 released, are you interested in developing creative and interactive games while learning C# alongside? Then this is the book that you are looking for. Its all about offering you a fun introduction to the world of game programming with C#. You’ll start with the basics to get started with C# 7 and its latest features. Then you’ll see how to use C# 7 and its latest functional programming capabilities to create amazing games with Unity 2017. You’ll create your first C# * for Unity, add objects into it, and learn how to create game elements with them. Then you’ll work with the latest functional programming features of C# and how to leverage them for great game *ing. Throughout the book, you’ll learn to use the new Unity 2017 2D tool set and create an interactive 2D game with it. You will make enemies appear to challenge your player, and go through some optimization techniques to ensure great game performance. At the end, your 2D game will be transformed into 3D, and you’ll be able to skill up to become a pro C# programmer with Unity 2017! Style and approach The book takes a practical, step-by-step approach where you learn C# coding while developing fun and interactive games.

Learn the fundamentals of vue.js by creating complex SPAs with Vuex, vue-router and more About This Book ? We bridge the gap between "learning" and "doing" by providing real-world examples that will improve your web development skills with Vue.js ? Explore the exciting features of Vue.js 2 through practical and interesting examples ? Explore modern development tools and learn how to utilize them by building applications with Vue.js Who This Book Is For This book is for developers who know the basics of JavaScript and are looking to learn Vue.js with real examples. You should understand the basics of JavaScript functions and variables and be comfortable with using CSS or a CSS framework for styling your projects. What You Will Learn ? Looping through data with Vue.js ? Searching and filtering data ? Using components to display data ? Getting a list of files using the dropbox API ? Navigating through a file tree and loading folders from a URL ? Caching with Vuex ? Pre-caching for faster navigation ? Introducing vue-router and loading components ? Using vue-router dynamic routes to load data ? Using vue-router and Vuex to create an ecommerce store In Detail Vue.js is a frontend web framework which makes it easy to do just about anything, from displaying data up to creating full-blown web apps, and has become a leading tool for web developers. This book puts Vue.js into a real-world context, guiding you through example projects that helps you build Vue.js applications from scratch. With this book, you will learn how to use Vue.js by creating three Single Page web applications. Throughout this book, we will cover the usage of Vue, for building web interfaces, Vuex, an official Vue plugin which makes caching and storing data easier, and Vue-router, a plugin for creating routes and URLs for your application. Starting with a JSON dataset, the first part of the book covers Vue objects and how to utilize each one. This will be covered by exploring different ways of displaying data from a JSON dataset. We will then move on to manipulating the data with filters and search and creating dynamic values. Next, you will see how easy it is to integrate remote data into an application by learning how to use the Dropbox API to display your Dropbox contents in an application In the final section, you will see how to build a product catalog and dynamic shopping cart using the Vue-router, giving you the building blocks of an e-commerce store. Style and approach This book takes you three projects, with step-by-step instructions to help you understand the concepts of Vue and put it into practice.

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications About This Book ? A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices ? Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering ? Master open source Python tools to build sophisticated predictive models Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move on from a conceptual understanding of advanced analytics and become an expert in designing and building advanced analytics solutions using Python. If you are familiar with coding in Python (or some other programming/statistical/*ing language) but have never used or read about predictive analytics algorithms, this book will also help you. What You Will Learn ? Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries ? Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy ? Master the use of Python notebooks for exploratory data analysis and rapid prototyping ? Get to grips with applying regression, classification, clustering, and deep learning algorithms ? Discover advanced methods to analyze structured and unstructured data ? Visualize the performance of models and the insights they produce ? Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: 1. Learning Predictive Analytics with Python 2. Mastering Predictive Analytics with Python Style and approach This course aims to create a smooth learning path that will teach you how to effectively perform predictive analytics using Python. Through this comprehensive course, you’ll learn the basics of predictive analytics and progress to predictive modeling in the modern world.

Discover practical techniques to build cloud-native apps that are scalable, reliable, and always available. About This Book ? Build well-designed and secure microservices. Enrich your microservices with continous integration and monitoring. ? Containerize your application with Docker ? Deploy your application to AWS. Learn how to utilize the powerful AWS services from within your application Who This Book Is For This book is for developers who want to begin building secure, resilient, robust, and scalable Go applications that are cloud native. Some knowledge of the Go programming language should be sufficient.To build the front-end application, you will also need some knowledge of JavaScript programming. What You Will Learn ? Understand modern software applications architectures ? Build secure microservices that can effectively communicate with other services ? Get to know about event-driven architectures by diving into message queues such as Kafka, Rabbitmq, and AWS SQS. ? Understand key modern database technologies such as MongoDB, and Amazon’s DynamoDB ? Leverage the power of containers ? Explore Amazon cloud services fundamentals ? Know how to utilize the power of the Go language to access key services in the Amazon cloud such as S3, SQS, DynamoDB and more. ? Build front-end applications using ReactJS with Go ? Implement CD for modern applications In Detail Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill.. The book will take you on a journey into the world of microservices and cloud computing with the help of Go. It will start by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that the reader can explore to move from where the book leaves off. Style and approach This book provides practical techniques, code examples, and architectural patterns required to build cloud native microservices in the Go language. It progresses through the subjects in a step-by-step manner. In each step, we cover the technical concepts behind it, the design considerations, and the code needed to build it.

Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition presents wireless pentesting from the ground up, and has been updated with the latest methodologies, including full coverage of the KRACK attack. About This Book ? Learn wireless penetration testing with Kali Linux ? Detect hidden wireless networks and discover their names ? Explore advanced Wi-Fi hacking techniques including rogue access point hosting and probe sniffing ? Develop your encryption cracking skills and gain an insight into the methods used by attackers and the underlying technologies that facilitate these attacks Who This Book Is For Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition is suitable for anyone who wants to learn more about pentesting and how to understand and defend against the latest wireless network attacks. What You Will Learn ? Understand the KRACK attack in full detail ? Create a wireless lab for your experiments ? Sniff out wireless packets, hidden networks, and SSIDs ? Capture and crack WPA-2 keys ? Sniff probe requests and track users through their SSID history ? Attack radius authentication systems ? Sniff wireless traffic and collect interesting data ? Decrypt encrypted traffic with stolen keys In Detail As wireless networks become ubiquitous in our lives, wireless penetration testing has become a key skill in the repertoire of the professional penetration tester. This has been highlighted again recently with the discovery of the KRACK attack which enables attackers to potentially break into Wi-Fi networks encrypted with WPA2. The Kali Linux security distribution comes with a myriad of tools used for networking attacks and detecting security loopholes. Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition has been updated to Kali Linux 2017.3 with the latest methodologies, including full coverage of the KRACK attack and how to defend against it. The book presents wireless pentesting from the ground up, introducing all elements of penetration testing with each new technology. You'll learn various wireless testing methodologies by example, from the basics of wireless routing and encryption through to detailed coverage of hacking methods and attacks such as the Hirte and Caffe Latte. Style and approach Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition is a practical, hands-on guide to modern wi-fi network hacking. It covers both the theory and practice of wireless pentesting, offering detailed, real-world coverage of the latest vulnerabilities and attacks.

Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenge, Amazon Alexa and Google Home About This Book ? Understand the different use cases of Conversational UIs with this project-based guide ? Build feature-rich Chatbots and deploy them on multiple platforms ? Get real-world examples of voice-enabled UIs for personal and home assistance Who This Book Is For This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required. What You Will Learn ? Design the flow of conversation between the user and the chatbot ? Create Task model chatbots for implementing tasks such as ordering food ? Get new toolkits and services in the chatbot ecosystem ? Integrate third-party information APIs to build interesting chatbots ? Find out how to deploy chatbots on messaging platforms ? Build a chatbot using MS Bot Framework ? See how to tweet, listen to tweets, and respond using a chatbot on Twitter ? Publish chatbots on Google Assistant and Amazon Alexa In Detail Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms. Style and approach This is a practical book, where each chapter focuses on a chatbot project. The chapters take a step-by-step approach to help you build intelligent chatbots that act as personal assistants.

Build a resilient cloud architecture to tackle data disasters with ease About This Book ? Gain a firm grasp of Cloud data security and governance, irrespective of your Cloud platform ? Practical examples to ensure you secure your Cloud environment efficiently ? A step-by-step guide that will teach you the unique techniques and methodologies of Cloud data governance Who This Book Is For If you are a cloud security professional who wants to ensure cloud security and data governance no matter the environment, then this book is for you. A basic understanding of working on any cloud platform would be beneficial. What You Will Learn ? Configure your firewall and Network ACL ? Protect your system against DDOS and application-level attacks ? Explore cryptography and data security for your cloud ? Get to grips with configuration management tools to automate your security tasks ? Perform vulnerability scanning with the help of the standard tools in the industry ? Learn about central log management In Detail Modern day businesses and enterprises are moving to the Cloud, to improve efficiency and speed, achieve flexibility and cost effectiveness, and for on-demand Cloud services. However, enterprise Cloud security remains a major concern because migrating to the public Cloud requires transferring some control over organizational assets to the Cloud provider. There are chances these assets can be mismanaged and therefore, as a Cloud security professional, you need to be armed with techniques to help businesses minimize the risks and misuse of business data. The book starts with the basics of Cloud security and offers an understanding of various policies, governance, and compliance challenges in Cloud. This helps you build a strong foundation before you dive deep into understanding what it takes to design a secured network infrastructure and a well-architected application using various security services in the Cloud environment. Automating security tasks, such as Server Hardening with Ansible, and other automation services, such as Monit, will monitor other security daemons and take the necessary action in case these security daemons are stopped maliciously. In short, this book has everything you need to secure your Cloud environment with. It is your ticket to obtain industry-adopted best practices for developing a secure, highly available, and fault-tolerant architecture for organizations. Style and approach This book follows a step-by-step, practical approach to secure your applications and data when they are located remotely.

A complete guide on using data structures and algorithms to write sophisticated C# code About This Book ? Master array, set and map with trees and graphs, among other fundamental data structures ? Delve into effective design and implementation techniques to meet your software requirements ? Explore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual manner. Who This Book Is For This book is for developers who would like to learn the Data Structures and Algorithms in C#. Basic C# programming knowledge would be an added advantage. What You Will Learn ? How to use arrays and lists to get better results in complex scenarios ? Implement algorithms like the Tower of Hanoi on stacks of C# objects ? Build enhanced applications by using hashtables, dictionaries and sets ? Make a positive impact on efficiency of applications with tree traversal ? Effectively find the shortest path in the graph In Detail Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications. Style and approach Readers will be taken through all the indispensable data structures and algorithms so they can begin their coding journey in C#. At each step, the book will show how to implement these via examples while also discussing the attributes of each algorithm so readers are capable to make an informed choice.

Use JSON for building web applications with technologies like HTML, JavaScript, Angular, Node.js, Hapi.js, Kafka, socket.io, MongoDB, Gulp.js, and handlebar.js, and others formats like GEOJSON, JSON-LD, MessagePack, and BSON. About This Book ? Use JSON with trending technologies like Angular, Hapi.js, MongoDB, Kafka, and Socket.io ? Debug, validate, and format JSON using developer toolkits, JSONLint, and JSON Editor Online ? Explore other JSON formats like GeoJSON, JSON-LD, BSON, and MessagePack Who This Book Is For If you’re a web developer with a basic understanding of JavaScript and want to write JSON data, integrate it with RESTful APIs to create faster and scalable applications, this book is for you. What You Will Learn ? Use JSON to store metadata for dependency managers, package managers, configuration managers, and metadata stores ? Handle asynchronous behavior in applications using callbacks, promises, generators, and async-await functions ? Use JSON for Angular 5, Node.js, Gulp.js, and Hapi.js ? Implement JSON as BSON in MongoDB ? Make use of JSON in developing automation scripts ? Implement JSON for realtime using socket.io and distributed systems using Kafka In Detail JSON is an established and standard format used to exchange data. This book shows how JSON plays different roles in full web development through examples. By the end of this book, you'll have a new perspective on providing solutions for your applications and handling their complexities. After establishing a strong basic foundation with JSON, you'll learn to build frontend apps by creating a carousel. Next, you'll learn to implement JSON with Angular 5, Node.js, template embedding, and composer.json in PHP. This book will also help you implement Hapi.js (known for its JSON-configurable architecture) for server-side scripting. You'll learn to implement JSON for real-time apps using Kafka, as well as how to implement JSON for a task runner, and for MongoDB BSON storage. The book ends with some case studies on JSON formats to help you sharpen your creativity by exploring futuristic JSON implementations. By the end of the book, you'll be up and running with all the essential features of JSON and JavaScript and able to build fast, scalable, and efficient web applications. Style and approach JavaScript and JSON Essentials, Second Edition, takes you on a fast-paced, hands-on journey through building lightweight, scalable and faster web applications with JSON.

This book contains more than 65 recipes that will equip you with what you need to know to work with Windows 2016 Server. This book will help you learn how to administrate your Windows Server for optimal performance. About This Book ? A focussed guide to help you with the core functionalities of Windows Server 2016 ? Explore tasks that will help you build a datacenter from scratch using Windows Server 2016 ? Step-by-step instructions for common Windows Server administration duties Who This Book Is For This book is for system administrators or IT professionals who want the skills to manage and maintain the core infrastructure of a Windows Server 2016 environment.? Prior experience in Windows Server 2012 R2 environments will be helpful. What You Will Learn ? Become skilled in the navigation of Windows Server 2016, and explore the technologies and options that it provides ? Build the infrastructure required for a successful Windows Server network ? Move away from those open-source web server platforms and start migrating your websites to Server 2016's Internet Information Services today ? Provide a centralized point for users to access applications and data by confguring Remote Desktop Services ? Compose optimal Group Policies In Detail Windows Server 2016 is an operating system designed to run on servers. It supports enterprise-level data storage, communications, management, and applications. This book contains specially selected, detailed help on core, essential administrative tasks of Windows Server 2016. This book starts by helping you to navigate the interface of Windows Server 2016, and quickly shifts gears to implementing roles that are necessarily in any Microsoft-centric datacenter. This book will also help you leverage the web services platform built into Windows Server 2016, available to anyone who runs this latest and greatest Server operating system. Further, you will also learn to compose optimal Group Policies and monitor system performance and IP address management. This book will be a handy quick-reference guide for any Windows Server administrator, providing easy to read, step-by-step instructions for many common administrative tasks that will be part of any Server Administrator’s job description as they administer their Windows Server 2016 powered servers. The material in the book has been selected from the content of Packt's Windows Server 2016 Cookbook by Jordan Krause to provide a specific focus on key Windows Server administration tasks. Style and approach This book contains recipes that have been specially selected to help with the core, essential administrative tasks of Windows Server 2016.

Leverage the power of Matplotlib to visualize and understand your data more effectively About This Book ? Perform effective data visualization with Matplotlib and get actionable insights from your data ? Design attractive graphs, charts, and 2D plots, and deploy them to the web ? Get the most out of Matplotlib in this practical guide with updated code and examples Who This Book Is For This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started. What You Will Learn ? Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots ? Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib ? Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn ? Create interactive plots with real-time updates ? Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django ? Write data visualization code that is readily expandable on the cloud platform In Detail Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations. Style and approach Step by step approach to learning the best of Matplotlib 2.1.x

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About This Book ? Learn reinforcement learning concepts and their implementation using TensorFlow ? Discover different problem-solving methods for Reinforcement Learning ? Apply reinforcement learning for autonomous driving cars, robobrokers, and more Who This Book Is For If you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience with Reinforcement Learning is required. What You Will Learn ? Implement state-of-the-art Reinforcement Learning algorithms from the basics ? Discover various techniques of Reinforcement Learning such as MDP, Q Learning and more ? Learn the applications of Reinforcement Learning in advertisement, image processing, and NLP ? Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym ? Understand how Reinforcement Learning Applications are used in robotics In Detail Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games, self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions. The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it’s gaining so much popularity. The book also discusses on MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP. By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym. Style and approach An Easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Reinforcement Learning with TensorFlow.

Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++ About This Book ? Use data structures such as arrays, stacks, trees, lists, and graphs with real-world examples ? Learn the functional and reactive implementations of the traditional data structures ? Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner Who This Book Is For This book is for developers who would like to learn the Data Structures and Algorithms in C++. Basic C++ programming knowledge is expected. What You Will Learn ? Know how to use arrays and lists to get better results in complex scenarios ? Build enhanced applications by using hashtables, dictionaries, and sets ? Implement searching algorithms such as linear search, binary search, jump search, exponential search, and more ? Have a positive impact on the efficiency of applications with tree traversal ? Explore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sort ? Implement various common algorithms in string data types ? Find out how to design an algorithm for a specific task using the common algorithm paradigms In Detail C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer. We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more. By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications. Style and approach Readers will be taken through an indispensable list of data structures and algorithms so they can confidently begin coding in C++.

Automate data and model pipelines for faster machine learning applications About This Book ? Build automated modules for different machine learning components ? Understand each component of a machine learning pipeline in depth ? Learn to use different open source AutoML and feature engineering platforms Who This Book Is For If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book. What You Will Learn ? Understand the fundamentals of Automated Machine Learning systems ? Explore auto-sklearn and MLBox for AutoML tasks ? Automate your preprocessing methods along with feature transformation ? Enhance feature selection and generation using the Python stack ? Assemble individual components of ML into a complete AutoML framework ? Demystify hyperparameter tuning to optimize your ML models ? Dive into Machine Learning concepts such as neural networks and autoencoders ? Understand the information costs and trade-offs associated with AutoML In Detail AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. Style and approach Step by step approach to understand how to automate your machine learning tasks

Efficiently integrate OAuth 2.0 to protect your mobile, desktop, Cloud applications and APIs using Spring Security technologies. About This Book ? Interact with public OAuth 2.0 protected APIs such as Facebook, LinkedIn and Google. ? Use Spring Security and Spring Security OAuth2 to implement your own OAuth 2.0 provider ? Learn how to implement OAuth 2.0 native mobile clients for Android applications Who This Book Is For This book targets software engineers and security experts who are looking to develop their skills in API security and OAuth 2.0. Prior programming knowledge and a basic understanding of developing web applications are necessary. As this book's recipes mostly use Spring Security and Spring Security OAuth2, some prior experience with Spring Framework will be helpful. What You Will Learn ? Use Redis and relational databases to store issued access tokens and refresh tokens ? Access resources protected by the OAuth2 Provider using Spring Security ? Implement a web application that dynamically registers itself to the Authorization Server ? Improve the safety of your mobile client using dynamic client registration ? Protect your Android client with Proof Key for Code Exchange ? Protect the Authorization Server from invalid redirection In Detail OAuth 2.0 is a standard protocol for authorization and focuses on client development simplicity while providing specific authorization flows for web applications, desktop applications, mobile phones, and so on. This book also provides useful recipes for solving real-life problems using Spring Security and creating Android applications. The book starts by presenting you how to interact with some public OAuth 2.0 protected APIs such as Facebook, LinkedIn and Google. You will also be able to implement your own OAuth 2.0 provider with Spring Security OAuth2. Next, the book will cover practical scenarios regarding some important OAuth 2.0 profiles such as Dynamic Client Registration, Token Introspection and how to revoke issued access tokens. You will then be introduced to the usage of JWT, OpenID Connect, and how to safely implement native mobile OAuth 2.0 Clients. By the end of this book, you will be able to ensure that both the server and client are protected against common vulnerabilities. Style and approach With the help of real-world examples, this book provides step by step recipes for troubleshooting and extending your API security. The book also helps you with accessing and securing data on mobile, desktop, and cloud apps with OAuth 2.0.

Your one-step guide to understanding industrial cyber security, its control systems, and its operations. About This Book ? Learn about endpoint protection such as anti-malware implementation, updating, monitoring, and sanitizing user workloads and mobile devices ? Filled with practical examples to help you secure critical infrastructure systems efficiently ? A step-by-step guide that will teach you the techniques and methodologies of building robust infrastructure systems Who This Book Is For If you are a security professional and want to ensure a robust environment for critical infrastructure systems, this book is for you. IT professionals interested in getting into the cyber security domain or who are looking at gaining industrial cyber security certifications will also find this book useful. What You Will Learn ? Understand industrial cybersecurity, its control systems and operations ? Design security-oriented architectures, network segmentation, and security support services ? Configure event monitoring systems, anti-malware applications, and endpoint security ? Gain knowledge of ICS risks, threat detection, and access management ? Learn about patch management and life cycle management ? Secure your industrial control systems from design through retirement In Detail With industries expanding, cyber attacks have increased significantly. Understanding your control system’s vulnerabilities and learning techniques to defend critical infrastructure systems from cyber threats is increasingly important. With the help of real-world use cases, this book will teach you the methodologies and security measures necessary to protect critical infrastructure systems and will get you up to speed with identifying unique challenges.Industrial cybersecurity begins by introducing Industrial Control System (ICS) technology, including ICS architectures, communication media, and protocols. This is followed by a presentation on ICS (in) security. After presenting an ICS-related attack scenario, securing of the ICS is discussed, including topics such as network segmentation, defense-in-depth strategies, and protective solutions. Along with practical examples for protecting industrial control systems, this book details security assessments, risk management, and security program development. It also covers essential cybersecurity aspects, such as threat detection and access management. Topics related to endpoint hardening such as monitoring, updating, and anti-malware implementations are also discussed. Style and approach A step-by-step guide to implement Industrial Cyber Security effectively.

Become a full-fledged Qlik Sense Consultant with the help of this unique guide About This Book ? Become a successful Qlik consultant with the help of this insightful guide ? Build what is in line as well as exceeding your customer’s expectations from your Qlik Sense solutions using this highly practical guide ? Build result-driven optimized BI solutions using Qlik with the help of industry examples Who This Book Is For If you have basic familiarity with Qlik Sense and want to upgrade your skills to become a full-fledged Qlik Consultant, this book is for you. With this book, you will be able to create efficient business intelligence solutions that would fetch client satisfaction, and in turn, more projects. What You Will Learn ? Understand the importance and expectations of a consultant’s role ? Engage with the customer to understand the ir goals and future objectives ? Design the optimum architecture, using the best practices for the development and implementation of your projects ? Ensure successful adoption using real-life examples to make your learning complete ? Learn about the important stages of a Qlik project’s life cycle In Detail Qlik Sense is a leading platform for business intelligence (BI) solutions. Qlik Sense helps organizations in making informed decisions based on the data they have. This book will teach you how to effectively use Qlik for optimum customer satisfaction. You will undergo a metamorphosis from a developer to a consultant who is capable of building the most suitable BI solutions for your clients. The book will take you through several business cases – this will give you enough insight to understand the needs of the client clearly and build a BI solution that meets or exceeds their expectations. Starting from the pre-project activities, you will go to the actual execution of the project, the implementation, and even maintenance. This book will give you all the information you need - from the strategy to requirement gathering to implementing BI solutions using Qlik Sense. The book will empower you to take the right decisions in tricky and diffi cult situations while developing analytics and dashboards. Style and approach This book will be a hands-on guide that will teach you all the what-to-do’s, when-to-do’s, and how-to-do’s for becoming a successful Qlik Sense Consultant. With the help of various business scenarios, the book will cover real-world problems that you can relate to. Various solutions in the book will be backed up by the thought process of why are these solutions used and how you can implement them in your own business environment.

Master OpenFlow concepts to improve and make your projects efficient with the help of Software-Defined Networking. About This Book ? Master the required platforms and tools to build network applications with OpenFlow ? Get to grips with the updated OpenFlow and build robust SDN-based solutions ? An end-to-end thorough overview of open-source switches, controllers, and tools Who This Book Is For If you are a network/system administrator or a system engineer and would like to implement OpenFlow concepts and take Software-Defined Networking on your projects to the next level, then this book is for you. If you are aware of broad networking concepts, and are familiar with the day-to-day operation of computer networks, you will find this book very beneficial. What You Will Learn ? Explore Software-Defined Networking and activities around SDN/OpenFlow including OpenFlow messages ? Hardware and software implementations of OpenFlow switches and experiment with Mininet GUI ? Learn about the role of OpenFlow in cloud computing by configuring and setting up the Neutron and Floodlight OpenFlow controller plugins ? Simulate and test utilities, and familiarize yourself with OpenFlow soft switches, controllers, virtualization, and orchestration tools ? Enhance and build environments for Net App development by installing VM's and tools such as Mininet and Wireshark ? Learn about hardware and software switches and get a feel for active open-source projects around SDN and OpenFlow In Detail OpenFlow paves the way for an open, centrally programmable structure, thereby accelerating the effectiveness of Software-Defined Networking. Software-Defined Networking with OpenFlow, Second Edition takes you through the product cycle and gives you an in-depth de*ion of the components and options that are available at each stage. The aim of this book is to help you implement OpenFlow concepts and improve Software-Defined Networking on your projects. You will begin by learning about building blocks and OpenFlow messages such as controller-to-switch and symmetric and asynchronous messages. Next, this book will take you through OpenFlow controllers and their existing implementations followed by network application development. Key topics include the basic environment setup, the Neutron and Floodlight OpenFlow controller, XORPlus OF13SoftSwitch, enterprise and affordable switches such as the Zodiac FX and HP2920. By the end of this book, you will be able to implement OpenFlow concepts and improve Software-Defined Networking in your projects. Style and approach This book is an easy-to-follow and pragmatic guide networking. Each topic adopts a logical approach and provides hints to help you build and deliver SDN Solutions efficiently.