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

Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language About This Book ? Comprehensive information on building a web application penetration testing framework using Python ? Master web application penetration testing using the multi-paradigm programming language Python ? Detect vulnerabilities in a system or application by writing your own Python scripts Who This Book Is For This book is for ethical hackers; penetration testers; students preparing for OSCP, OSCE, GPEN, GXPN, and CEH; information security professionals; cybersecurity consultants; system and network security administrators; and programmers who are keen on learning all about penetration testing. What You Will Learn ? Code your own reverse shell (TCP and HTTP) ? Create your own anonymous shell by interacting with Twitter, Google Forms, and SourceForge ? Replicate Metasploit features and build an advanced shell ? Hack passwords using multiple techniques (API hooking, keyloggers, and clipboard hijacking) ? Exfiltrate data from your target ? Add encryption (AES, RSA, and XOR) to your shell to learn how cryptography is being abused by malware ? Discover privilege escalation on Windows with practical examples ? Countermeasures against most attacks In Detail Python is an easy-to-learn and cross-platform programming language that has unlimited third-party libraries. Plenty of open source hacking tools are written in Python, which can be easily integrated within your script. This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous shell. You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples. You will set up your own virtual hacking environment in VirtualBox, which will help you run multiple operating systems for your testing environment. By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch. Style and approach This book follows a practical approach that takes a gradual learning curve, building up your knowledge about ethical hacking, right from scratch. The focus is less on theory and more on practical examples through a step-by-step approach.

A complete guide to designing and building fun games with Qt and Qt Quick using associated toolsets About This Book ? A step by step guide to learn Qt by building simple yet entertaining games ? Get acquainted with a small yet powerful addition—Qt Gamepad Module, that enables Qt applications to support the use of gamepad hardware ? Understand technologies such as QML, OpenGL, and Qt Creator to design intuitive games Who This Book Is For If you want to create great graphical user interfaces and astonishing games with Qt, this book is ideal for you. No previous knowledge of Qt is required; however knowledge of C++ is mandatory. What You Will Learn ? Install the latest version of Qt on your system ? Understand the basic concepts of every Qt game and application ? Develop 2D object-oriented graphics using Qt Graphics View ? Build multiplayer games or add a chat function to your games with Qt Network module ? Script your game with Qt QML ? Explore the Qt Gamepad module in order to integrate gamepad support in C++ and QML applications ? Program resolution-independent and fluid UIs using QML and Qt Quick ? Control your game flow in line with mobile device sensors ? Test and debug your game easily with Qt Creator and Qt Test In Detail Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming popular by the day, especially on mobile and embedded devices. It's a powerful tool that perfectly fits the needs of game developers. This book will help you learn the basics of Qt and will equip you with the necessary toolsets to build apps and games. The book begins by how to create an application and prepare a working environment for both desktop and mobile platforms. You will learn how to use built-in Qt widgets and Form Editor to create a GUI application and then learn the basics of creating graphical interfaces and Qt's core concepts. Further, you'll learn to enrich your games by implementing network connectivity and employing scripting. You will learn about Qt's capabilities for handling strings and files, data storage, and serialization. Moving on, you will learn about the new Qt Gamepad module and how to add it in your game and then delve into OpenGL and Vulcan, and how it can be used in Qt applications to implement hardware-accelerated 2D and 3D graphics. You will then explore various facets of Qt Quick: how it can be used in games to add game logic, add game physics, and build astonishing UIs for your games. By the end of this book, you will have developed the skillset to develop interesting games with Qt. Style and approach Learn Qt with the help of numerous sample games, introduced step-by-step in each chapter

Test your Python programming skills by solving real-world problems About This Book ? Access built-in documentation tools and improve your code. ? Discover how to make the best use of decorator and generator functions ? Enhance speed and improve concurrency by conjuring tricks from the PyPy project Who This Book Is For Whether you’ve been working with Python for a few years or you’re a seasoned programmer, you’ll have a lot of new tricks to walk away with. What You Will Learn ? Know the differences between .py and .pyc files ? Explore the different ways to install and upgrade Python packages ? Understand the working of the PyPI module that enhances built-in decorators ? See how coroutines are different from generators and how they can simulate multithreading ? Grasp how the decimal module improves floating point numbers and their operations ? Standardize sub interpreters to improve concurrency ? Discover Python’s built-in docstring analyzer In Detail This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks. Style and approach Recipe based approach where each problem is solved with the help of step by step instructions.

Test your C++ programming skills by solving real-world programming problems covered in the book About This Book ? Solve a variety of real-world programming and logic problems by leveraging the power of C++17 ? Test your skills in using language features, algorithms, data structures, design patterns, and more ? Explore areas such as cryptography, communication, and image handling in C++ Who This Book Is For This book will appeal to C++ developers of all levels. There's a challenge inside for everyone. What You Will Learn ? Serialize and deserialize JSON and XML data ? Perform encryption and signing to facilitate secure communication between parties ? Embed and use SQLite databases in your applications ? Use threads and asynchronous functions to implement generic purpose parallel algorithms ? Compress and decompress files to/from a ZIP archive ? Implement data structures such as circular buffer and priority queue ? Implement general purpose algorithms as well as algorithms that solve specific problems ? Create client-server applications that communicate over TCP/IP ? Consume HTTP REST services ? Use design patterns to solve real-world problems In Detail C++ is one of the most widely-used programming languages and has applications in a variety of fields, such as gaming, GUI programming, and operating systems, to name a few. Through the years, C++ has evolved into (and remains) one of the top choices for software developers worldwide. This book will show you some notable C++ features and how to implement them to meet your application needs. Each problem is unique and doesn't just test your knowledge of the language; it tests your ability to think out of the box and come up with the best solutions. With varying levels of difficulty, you'll be faced with a wide variety of challenges. And in case you're stumped, you don't have to worry: we've got the best solutions to the problems in the book. So are you up for the challenge? Style and approach A recipe-based approach where each problem is solved with the help of step by step instructions.

Start building your very own mobile apps with this comprehensive introduction to Swift and object-oriented programming About This Book ? A complete beginner's guide to Swift programming language ? Understand core Swift programming concepts and techniques for creating popular iOS apps ? Start your journey toward building mobile app development with this practical guide Who This Book Is For This book is for beginners who are new to Swift or may have some preliminary knowledge of Objective-C. If you are interested in learning and mastering Swift in Apple’s ecosystem, namely mobile development, then this book is for you. What You Will Learn ? Become a pro at iOS development by creating simple-to-complex iOS mobile applications ? Master Playgrounds, a unique and intuitive approach to teaching Xcode ? Tackle the basics, including variables, if clauses, functions, loops and structures, classes, and inheritance ? Model real-world objects in Swift and have an in-depth understanding of the data structures used, along with OOP concepts and protocols ? Use CocoaPods, an open source Swift package manager to ease your everyday developer requirements ? Develop a wide range of apps, from a simple weather app to an Instagram-like social app ? Get ahead in the industry by learning how to use third-party libraries efficiently in your apps In Detail Swift Language is now more powerful than ever; it has introduced new ways to solve old problems and has gone on to become one of the fastest growing popular languages. It is now a de-facto choice for iOS developers and it powers most of the newly released and popular apps. This practical guide will help you to begin your journey with Swift programming through learning how to build iOS apps. You will learn all about basic variables, if clauses, functions, loops, and other core concepts; then structures, classes, and inheritance will be discussed. Next, you’ll dive into developing a weather app that consumes data from the internet and presents information to the user. The final project is more complex, involving creating an Instagram like app that integrates different external libraries. The app also uses CocoaPods as its package dependency manager, to give you a cutting-edge tool to add to your skillset. By the end of the book, you will have learned how to model real-world apps in Swift. Style and approach This book has a very practical and hands-on approach towards teaching the user the new and advanced features of Swift.

Leverage Splunk's operational intelligence capabilities to unlock new hidden business insights and drive success About This Book ? Tackle any problems related to searching and analyzing your data with Splunk ? Get the latest information and business insights on Splunk 7.x ? Explore the all new machine learning toolkit in Splunk 7.x Who This Book Is For This book is intended for data professionals who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of business, IT, security, product, marketing, and many more! Even the existing users of Splunk who want to upgrade and get up and running with Splunk 7.x will find this book to be of great value. What You Will Learn ? Learn how to use Splunk to gather, analyze, and report on data ? Create dashboards and visualizations that make data meaningful ? Build an intelligent application with extensive functionalities ? Enrich operational data with lookups and workflows ? Model and accelerate data and perform pivot-based reporting ? Apply ML algorithms for forecasting and anomaly detection ? Summarize data for long term trending, reporting, and analysis ? Integrate advanced JavaScript charts and leverage Splunk's API In Detail Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching with machine learning to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it. Style and approach With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization.

Discover the next level of network defense with the Metasploit framework About This Book ? Gain the skills to carry out penetration testing in complex and highly-secured environments ? Become a master using the Metasploit framework, develop exploits, and generate modules for a variety of real-world scenarios ? Get this completely updated edition with new useful methods and techniques to make your network robust and resilient Who This Book Is For This book is a hands-on guide to penetration testing using Metasploit and covers its complete development. It shows a number of techniques and methodologies that will help you master the Metasploit framework and explore approaches to carrying out advanced penetration testing in highly secured environments. What You Will Learn ? Develop advanced and sophisticated auxiliary modules ? Port exploits from PERL, Python, and many more programming languages ? Test services such as databases, SCADA, and many more ? Attack the client side with highly advanced techniques ? Test mobile and tablet devices with Metasploit ? Bypass modern protections such as an AntiVirus and IDS with Metasploit ? Simulate attacks on web servers and systems with Armitage GUI ? Script attacks in Armitage using CORTANA scripting In Detail We start by reminding you about the basic functionalities of Metasploit and its use in the most traditional ways. You’ll get to know about the basics of programming Metasploit modules as a refresher and then dive into carrying out exploitation as well building and porting exploits of various kinds in Metasploit. In the next section, you’ll develop the ability to perform testing on various services such as databases, Cloud environment, IoT, mobile, tablets, and similar more services. After this training, we jump into real-world sophisticated scenarios where performing penetration tests are a challenge. With real-life case studies, we take you on a journey through client-side attacks using Metasploit and various scripts built on the Metasploit framework. By the end of the book, you will be trained specifically on time-saving techniques using Metasploit. Style and approach This is a step-by-step guide that provides great Metasploit framework methodologies. All the key concepts are explained details with the help of examples and demonstrations that will help you understand everything you need to know about Metasploit.

Automate the deployment of your environment with the power of the Docker toolchain About This Book ? Written and reviewed by expert Docker developers ? The book precisely covers all the essential topics such as building images and managing container swarms required in day to day use for Docker ? The book includes activities on the docker CLI and exercises such as writing Dockerfiles for Python which will allow you to reinforce the concepts covered Who This Book Is For The book is crafted for developers, system architects, junior and mid-level site reliability engineers interested in adapting a docker workflow. They are also required to have a basic knowledge of UNIX concepts such as ssh, ports and logs What You Will Learn ? Understand how to effectively design and build containers for different applications ? Setup an environment for testing, avoiding environment mismatch that is breaking production ? Setup and manage a multi-tier environment ? Run, debug, and experiment with applications in a container In Detail DevOps with Docker outlines the power of containerization and the influence this innovation has on development teams and general operations. We also get to understand what DevOps really is, the principles involved and how the process contributes to product health, by implementing a Docker workflow. We will learn to interpret Dockerfile syntax, build images and setup containers and images. In addition, we will deploy a Docker image to the Docker Hub.Docker is an open source containerization tool, that makes it easier to streamline product delivery. It helps reduce the time taken to get from a whiteboard sketch of the business to a money-back implementation. This fast-paced book is a perfect amalgamation of theory and hands-on exercises. The book will take you through the basics of Docker and DevOps and why and how they integrate. You will then understand what containers are, and how to create and manage them. Next, we will work on the docker-compose file and CLI. Then we will move to set up a network with the docker-compose tool. Gradually you will learn how to scale a delivery pipeline and multiple deployments with Docker. Lastly, you will grasp the concept of orchestration and learn to implement the delivery of containerized applications. Style and approach This is a fast-paced, practical hands-on book aimed at experienced developers and system architects. As you progress you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises and activities to help benchmark your progress and reinforce what you’ve learned. The activities are devised to simulate the real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still retaining security, portability and saving on costs.

Create real-time applications using Node.js 10, Docker, MySQL, MongoDB, and Socket.IO with this practical guide and go beyond the developer's laptop to cover live deployment, including HTTPS and hardened security. About This Book ? Learn server-side JavaScript coding through the most up-to-date book on Node.js ? Explore the latest JavaScript features, and EcmaScript modules ? Walk through different stages of developing robust applications using Node.js 10 Who This Book Is For This book is for anybody looking for an alternative to the "P" languages (Perl, PHP, and Python), or anyone looking for a new paradigm of server-side application development. You should have at least a rudimentary understanding of JavaScript and web application development. What You Will Learn ? Install and use Node.js 10 for both development and deployment ? Use the Express 4.16 application framework ? Work with REST service development using the Restify framework ? Use data storage engines such as MySQL, SQLITE3, and MongoDB ? Use User authentication methods with OAuth2 ? Perform Real-time communication with the front-end using Socket.IO ? Implement Docker microservices in development, testing and deployment ? Perform unit testing with Mocha 5.x, and functional testing with Puppeteer 1.1.x ? Work with HTTPS using Let’s Encrypt, and application security with Helmet In Detail Node.js is a server-side JavaScript platform using an event-driven, non-blocking I/O model allowing users to build fast and scalable data-intensive applications running in real time. This book gives you an excellent starting point, bringing you straight to the heart of developing web applications with Node.js. You will progress from a rudimentary knowledge of JavaScript and server-side development to being able to create, maintain, deploy and test your own Node.js application.You will understand the importance of transitioning to functions that return Promise objects, and the difference between fs, fs/promises and fs-extra. With this book you'll learn how to use the HTTP Server and Client objects, data storage with both SQL and MongoDB databases, real-time applications with Socket.IO, mobile-first theming with Bootstrap, microservice deployment with Docker, authenticating against third-party services using OAuth, and use some well known tools to beef up security of Express 4.16 applications. Style and approach Benefit from an easy, step-by-step approach that really works.

Accelerating Business and Mission Success with Cloud Computing. About This Book ? A step-by-step guide that will practically guide you through implementing Cloud computing services effectively and efficiently. ? Learn to choose the most ideal Cloud service model, and adopt appropriate Cloud design considerations for your organization. ? Leverage Cloud computing methodologies to successfully develop a cost-effective Cloud environment successfully. Who This Book Is For If you are an IT Administrator, Cloud Architect, or a Solution Architect keen to benefit from cloud adoption for your organization, then this book is for you. Small business owners, managers, or consultants will also find this book useful. No prior knowledge of Cloud computing is needed. What You Will Learn ? Manage changes in the digital transformation and cloud transition process ? Design and build architectures that support specific business cases ? Design, modify, and aggregate baseline cloud architectures ? Familiarize yourself with cloud application security and cloud computing security threats ? Design and architect small, medium, and large cloud computing solutions In Detail Cloud adoption is a core component of digital transformation. Scaling the IT environment, making it resilient, and reducing costs are what organizations want. Architecting Cloud Computing Solutions presents and explains critical Cloud solution design considerations and technology decisions required to choose and deploy the right Cloud service and deployment models, based on your business and technology service requirements. This book starts with the fundamentals of cloud computing and its architectural concepts. It then walks you through Cloud service models (IaaS, PaaS, and SaaS), deployment models (public, private, community, and hybrid) and implementation options (Enterprise, MSP, and CSP) to explain and describe the key considerations and challenges organizations face during cloud migration. Later, this book delves into how to leverage DevOps, Cloud-Native, and Serverless architectures in your Cloud environment and presents industry best practices for scaling your Cloud environment. Finally, this book addresses (in depth) managing essential cloud technology service components such as data storage, security controls, and disaster recovery. By the end of this book, you will have mastered all the design considerations and operational trades required to adopt Cloud services, no matter which cloud service provider you choose. Style and approach This book will teach you how to architect effective and organizationally aligned Cloud computing solutions by addressing Cloud computing fundamentals, Cloud architecture considerations, Cloud technology service selection, and Cloud computing security controls.

Leverage the analytical power of SAS to perform financial analysis efficiently About This Book ? Leverage the power of SAS to analyze financial data with ease ? Find hidden patterns in your data, predict future trends, and optimize risk management ? Learn why leading banks and financial institutions rely on SAS for financial analysis Who This Book Is For Financial data analysts and data scientists who want to use SAS to process and analyze financial data and find hidden patterns and trends from it will find this book useful. Prior exposure to SAS will be helpful but is not mandatory. Some basic understanding of the financial concepts is required. What You Will Learn ? Understand time series data and its relevance in the financial industry ? Build a time series forecasting model in SAS using advanced modeling theories ? Develop models in SAS and infer using regression and Markov chains ? Forecast in?ation by building an econometric model in SAS for your financial planning ? Manage customer loyalty by creating a survival model in SAS using various groupings ? Understand similarity analysis and clustering in SAS using time series data In Detail SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data. SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs. By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data. Style and approach A comprehensive guide filled with use-cases will ensure that you have a very good conceptual and practical understanding of using SAS in the finance domain.

Build robust microservice-based applications that are distributed, fault tolerant, and always available About This Book ? Learn to build message-driven services for effective communication ? Design microservices API using Reactive programming design patterns ? Deploy, scale and monitor microservices for consistent high performance Who This Book Is For This book is for JavaScript developers seeking to utilize their Node.js and Typescript skills to build microservices and move away from the monolithic architecture. Prior knowledge of TypeScript and Node.js is assumed. What You Will Learn ? Get acquainted with the fundamentals behind microservices. ? Explore the behavioral changes needed for moving from monolithic to microservices. ? Dive into reactive programming, Typescript and Node.js to learn its fundamentals in microservices ? Understand and design a service gateway and service registry for your microservices. ? Maintain the state of microservice and handle dependencies. ? Perfect your microservice with unit testing and Integration testing ? Develop a microservice, secure it, deploy it, and then scale it In Detail In the last few years or so, microservices have achieved the rock star status and right now are one of the most tangible solutions in enterprises to make quick, effective, and scalable applications. The apparent rise of Typescript and long evolution from ES5 to ES6 has seen lots of big companies move to ES6 stack. If you want to learn how to leverage the power of microservices to build robust architecture using reactive programming and Typescript in Node.js, then this book is for you. Typescript Microservices is an end-to-end guide that shows you the implementation of microservices from scratch; right from starting the project to hardening and securing your services. We will begin with a brief introduction to microservices before learning to break your monolith applications into microservices. From here, you will learn reactive programming patterns and how to build APIs for microservices. The next set of topics will take you through the microservice architecture with TypeScript and communication between services. Further, you will learn to test and deploy your TypeScript microservices using the latest tools and implement continuous integration. Finally, you will learn to secure and harden your microservice. By the end of the book, you will be able to build production-ready, scalable, and maintainable microservices using Node.js and Typescript. Style and approach This book will be a step by step easy to follow guide with focused examples for building microservices with Typescript.

Build maintainable websites with elegant Django design patterns and modern best practices About This Book ? Explore aspects of Django from Models and Views to testing and deployment ? Understand the nuances of web development such as browser attack and data design ? Walk through various asynchronous tools such as Celery and Channels Who This Book Is For This book is for you whether you’re new to Django or just want to learn its best practices. You do not have to be an expert in Django or Python. No prior knowledge of patterns is expected for reading this book but it would be helpful. What You Will Learn ? Make use of common design patterns to help you write better code ? Implement best practices and idioms in this rapidly evolving framework ? Deal with legacy code and debugging ? Use asynchronous tools such as Celery, Channels, and asyncio ? Use patterns while designing API interfaces with the Django REST Framework ? Reduce the maintenance burden with well-tested, cleaner code ? Host, deploy, and secure your Django projects In Detail Building secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encapsulates years of experience in the form of design patterns and best practices. Rather than sticking to GoF design patterns, the book looks at higher-level patterns. Using the latest version of Django and Python, you’ll learn about Channels and asyncio while building a solid conceptual background. The book compares design choices to help you make everyday decisions faster in a rapidly changing environment. You’ll first learn about various architectural patterns, many of which are used to build Django. You’ll start with building a fun superhero project by gathering the requirements, creating mockups, and setting up the project. Through project-guided examples, you’ll explore the Model, View, templates, workflows, and code reusability techniques. In addition to this, you’ll learn practical Python coding techniques in Django that’ll enable you to tackle problems related to complex topics such as legacy coding, data modeling, and code reusability. You’ll discover API design principles and best practices, and understand the need for asynchronous workflows. During this journey, you’ll study popular Python code testing techniques in Django, various web security threats and their countermeasures, and the monitoring and performance of your application. Style and approach This comprehensive project-driven guide will enhance your skill set by taking you through the well-known design patterns and industry-standard best practices in Django web development.

Explore the support Rust offers for creating functional applications in Rust. Learn about various design patterns, implementing concurrency, metaprogramming, and so on in the process About This Book ? Learn generics, organization, and design patterns in functional programming ? Modularize your applications and make them highly reusable and testable using functional design patterns ? Get familiar with complex concepts such as metaprogramming, concurrency, and immutability Who This Book Is For This book is for Rust developers who are comfortable with the language and now want to improve their coding abilities by learning advanced functional techniques to enhance their skillset and create robust and testable apps. What You Will Learn ? How Rust supports the use of basic functional programming principles ? Use functional programming to handle concurrency with elegance ? Read and interpret complex type signatures for types and functions ? Implement powerful abstractions using meta programming in Rust ? Create quality code formulaically using Rust's functional design patterns ? Master Rust's complex ownership mechanisms particularly for mutability In Detail Functional programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of Rust, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the Rust features that can be used to build software in a functional way. We begin with a brief comparison of the functional and object-oriented approach to different problems and patterns. We then quickly look at the patterns of control flow, data the abstractions of these unique to functional programming. The next part covers how to create functional apps in Rust; mutability and ownership, which are exclusive to Rust, are also discussed. Pure functions are examined next and you'll master closures, their various types, and currying. We also look at implementing concurrency through functional design principles and metaprogramming using macros. Finally, we look at best practices for debugging and optimization. By the end of the book, you will be familiar with the functional approach of programming and will be able to use these techniques on a daily basis. Style and approach Step-by-step guide covering advanced concepts and building functional applications in Rust

A guide to product management exploring the best practices: identifying the impact-driven product, planning for success, setting up and measuring time-bound metrics, and developing a lean product roadmap. About This Book ? Identifying Impact-Driven Products ? Investing in Key Business Outcomes ? Value mapping to maintain a lean product backlog ? Utilizing time-bound product metrics ? Eliminating process waste Who This Book Is For If you are leading a team that is building a new product, then this book is for you. The book is targeted at product managers, functional leads in enterprises, business sponsors venturing into new product offerings, product development teams, and start-up founders. What You Will Learn ? How do you execute ideas that matter? ? How can you define the right success metrics? ? How can you plan for product success? ? How do you capture qualitative and quantitative insights about the product? ? How do you know whether your product aligns to desired business goals? ? What processes are slowing you down? In Detail Lean Product Management is about finding the smartest way to build an Impact Driven Product that can deliver value to customers and meet business outcomes when operating under internal and external constraints. Author, Mangalam Nandakumar, is a product management expert, with over 17 years of experience in the field. Businesses today are competing to innovate. Cost is no longer the constraint, execution is. It is essential for any business to harness whatever competitive advantage they can, and it is absolutely vital to deliver the best customer experience possible. The opportunities for creating impact are there, but product managers have to improvise on their strategy every day in order to capitalize on them. This is the Agile battleground, where you need to stay Lean and be able to respond to abstract feedback from an ever shifting market. This is where Lean Product Management will help you thrive. Lean Product Management is an essential guide for product managers, and to anyone embarking on a new product development. Mangalam Nandakumar will help you to align your product strategy with business outcomes and customer impact. She introduces the concept of investing in Key Business Outcomes as part of the product strategy in order to provide an objective metric about which product idea and strategy to pursue. You will learn how to create impactful end-to-end product experiences by engaging stakeholders and reacting to external feedback. Style and approach The first few chapters of Lean Product Management address how to arrive at a product road map. It guides you through the process of getting stakeholder buy-in, prioritizing Key Business Outcomes and identifying the Impact-Driven Product, and arriving at a Cost-Impact matrix through value mapping. The next few chapters address how to define time-bound success metrics. It guides you through the process of creating an end-to-end product experience, capturing qualitative and quantitative insights to track product performance and alignment to short and long term product strategy. The last set of chapters of the book address process bottlenecks that hold teams back from building products right and how to eliminate process waste.

Build web applications with MongoDB, ExpressJS, React, and Node About This Book ? Build applications with the MERN stack ? Work with each component of the MERN stack ? Become confident with MERN and ready for more! Who This Book Is For The book is for JavaScript developers who want to get stated with the MERN Stack. What You Will Learn ? Get started with the MERN stack ? Install Node.js and configure MongoDB ? Build RESTful APIs with Express.js and Mongoose ? Build real-time applications with Socket.IO ? Manage synchronous and asynchronous data flows with Redux ? Build web applications with React In Detail The MERN stack is a collection of great tools—MongoDB, Express.js, React, and Node—that provide a strong base for a developer to build easily maintainable web applications. With each of them a JavaScript or JavaScript-based technology, having a shared programming language means it takes less time to develop web applications. This book focuses on providing key tasks that can help you get started, learn, understand, and build full-stack web applications. It walks you through the process of installing all the requirements and project setup to build client-side React web applications, managing synchronous and asynchronous data flows with Redux, and building real-time web applications with Socket.IO, RESTful APIs, and other concepts. This book gives you practical and clear hands-on experience so you can begin building a full-stack MERN web application. Quick Start Guides are focused, shorter titles that provide a faster paced introduction to a technology. They are for people who don't need all the detail at this point in their learning curve. The presentation has been streamlined to concentrate on the things you really need to know. Style and approach This guide shows you how to use your JavaScript knowledge to build web applications that use the MERN stack in both client-side and in server-side environments.

Implement successful private clouds with OpenStack About This Book ? Gain hands-on experience in designing a private cloud for all infrastructures ? Create a robust virtual environment for your organization ? Design, implement and deploy an OpenStack-based cloud based on the Queens release Who This Book Is For OpenStack for Architects is for Cloud architects who are responsible to design and implement a private cloud with OpenStack. System engineers and enterprise architects will also find this book useful. Basic understanding of core OpenStack services, as well as some working experience of concepts, is recommended. What You Will Learn ? Learn the overall structure of an OpenStack deployment ? Craft an OpenStack deployment process which fits within your organization ? Apply Agile Development methodologies to engineer and operate OpenStack clouds ? Build a product roadmap for Infrastructure as a Service based on OpenStack ? Make use of containers to increase the manageability and resiliency of applications running in and on OpenStack. ? Use enterprise security guidelines for your OpenStack deployment In Detail Over the past six years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, including industry giants such as IBM and HP, as well as open source leaders, such as Red Hat, Canonical, and SUSE, has led analysts to label OpenStack as the most important open source technology since the Linux operating system. Due to its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill set to design and implement it. OpenStack for Architects leads you through the major decision points that you'll face while architecting an OpenStack private cloud for your organization. This book will address the recent changes made in the latest OpenStack release i.e Queens, and will also deal with advanced concepts such as containerization, NVF, and security. At each point, the authors offer you advice based on the experience they've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, the book focuses on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. Style and approach This is practical, hands-on guide to implementing OpenStack clouds, where each topic is illustrated with real-world examples and then the technical points are proven in the lab. Conceptual chapters are written in discussion style to convey important concepts quickly and present decision points for choosing options.