You can use this book to help you set up and administer a DotNetNuke portal, even if you have a limited knowledge of ASP.NET. You will learn how to setup and administer an example site, stepping through all the tasks to ease your learning. If you are a developer, this book will help you extend the DotNetNuke portal by first helping you understand how the core framework works and then show you how to create custom modules and skins. A rudimentary knowledge of VB.NET programming is assumed, but the emphasis is not on becoming a better VB.NET programmer but on taming DotNetNuke. This book has been written for both the beginner wanting to set up a website and also ASP.NET developers with a grasp of VB.NET and access to Visual Studio .NET. No prior knowledge of DotNetNuke is assumed. The new features of DotNetNuke 3.0 are discussed extensively, so even if you have worked with previous versions of DotNetNuke, you will find something new.

If you are a network or system administrator and you're either using or evaluating SpamAssassin, this book will increase your understanding and transform your productivity.

This is a Packt Cookbook, which means it contains step-by-step instructions to achieve a particular goal or solve a particular problem. The book can be read chapter by chapter, or you can look at the table of contents and read the recipes in no particular order. This book is for anyone who wants to enhance their WordPress blog to make it engaging and feature-rich. It is not specifically for developers or programmers; rather it can be used by anyone who wants to get more out of their WordPress blog by following step-by-step instructions. A basic knowledge of PHP/XHTML/CSS/WordPress is desirable but not necessary.

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.

This book is a standard tutorial targeted at game developers which aims to help them incorporate audio programming techniques to enhance their gameplay experience.This book is perfect for C++ game developers who have no experience with audio programming and who would like a quick introduction to the most important topics required to integrate audio into a game.

A practical and fast-paced guide that gives you all the information you need to secure your virtual environment.This book is a “how-to” for the novice, a “reference guide” for the advanced user, and a “go to" for the experienced user in all the aspects of VMware View desktop virtualization security.

A fast paced, practical guide, filled with code examples and demonstrations of enterprise search using SharePoint 2013.This book is written for SharePoint and JavaScript developers who want to get started with SharePoint search and create search-driven applications. The book assumes working knowledge with previous versions of SharePoint and some experience with JavaScript and client side development

This is a step-by-step instructional guide to get you started easily with phpMyAdmin and teach you to manage and perform database functions on your database. You will first be introduced to the interface and then build basic tables and perform both simple and advanced functions on the created database. The book progresses gradually and you will follow it best by reading it sequentially. If you are a developer, system administrator, or web designer who wants to manage MySQL databases and tables efficiently, then this book is for you. This book assumes that you are already wellacquainted with MySQL basics. This book is a must-read for every serious phpMyAdmin user who would like to use this outstanding application to its full power.

Harness the power of Redis to integrate and manage your projects efficiently About This Book Learn how to use Redis's data types efficiently to manage large data sets Scale Redis to multiple servers with Twemproxy, Redis Sentinel, and Redis Cluster A fast-paced guide, full of real-world examples to help you get the best out of the features offered by Redis Who This Book Is For If you are a competent developer with experience of working with data structure servers and want to boost your project's performance by learning about features of Redis, then this book is for you. What You Will Learn Build analytics applications using Bitmaps and Hyperloglogs Enhance scalability with Twemproxy, Redis Sentinel, and Redis Cluster Build a Time Series implementation in Node.js and Redis Create your own Redis commands by extending Redis with Lua Get to know security techniques to protect your data (SSL encryption, firewall rules, basic authorization) Persist data to disk and learn the trade-offs of AOF and RDB Understand how to use Node.js, PHP, Python, and Ruby clients for Redis Avoid common pitfalls when designing your next solution In Detail Redis is the most popular in-memory key-value data store. It’s very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need. Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry. We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps. After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance. Style and approach A practical guide that offers the foundation upon which you can begin to understand the capabilities of Redis using a step-by-step approach. This book is full of real-world problems and in-depth knowledge of the concepts and features of Redis, with plenty of examples.

Learn JavaScript test-driven development using popular frameworks and tools About This Book Learn the life cycle of TDD and its importance in real-world application Gain knowledge about popular tools and analyze features, syntax, and how they help in JavaScript testing Implement test-driven programming exercises using the practical code examples Who This Book Is For If you have an intermediate knowledge of HTML, CSS, and JavaScript and want to learn how and why the test-driven development approach is better for your assignments, then this book is for you. What You Will Learn Basic TDD fundamentals, life cycle, and benefits Become acquainted with the concepts and elements of unit testing and writing basic unit tests for JavaScript Understand the way JsUnit, Qunit, Karma and DalekJs work Use the Jasmine framework Interpret feature detection and devise tests specific to cross-browser compatibility Integrate jsTestDriver with Eclipse and run tests with jsTestDriver Explore re-factoring, adding and notifying observers Understand test-driven development in case of server-side JS In Detail Initially, all processing used to happen on the server-side and simple output was the response to web browsers. Nowadays, there are so many JavaScript frameworks and libraries created that help readers to create charts, animations, simulations, and so on. By the time a project finishes or reaches a stable state, so much JavaScript code has already been written that changing and maintaining it further is tedious. Here comes the importance of automated testing and more specifically, developing all that code in a test-driven environment. Test-driven development is a methodology that makes testing the central part of the design process – before writing code developers decide upon the conditions that code must meet to pass a test. The end goal is to help the readers understand the importance and process of using TDD as a part of development. This book starts with the details about test-driven development, its importance, need, and benefits. Later the book introduces popular tools and frameworks like YUI, Karma, QUnit, DalekJS, JsUnit and goes on to utilize Jasmine, Mocha, Karma for advanced concepts like feature detection, server-side testing, and patterns. We are going to understand, write, and run tests, and further debug our programs. The book concludes with best practices in JavaScript testing. By the end of the book, the readers will know why they should test, how to do it most efficiently, and will have a number of versatile tests (and methods for devising new tests) to get to work immediately. Style and approach Easy-to-follow guide with suitable examples for developing JavaScript code in the test-Driven environment, with popular tools and frameworks. User experience and statements are also included to help readers make a better choice of tool for real-world projects.

Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions About This Book Want to minimize risk and optimize profits of your businessLearn to create efficient analytical reports with ease using this highly practical, easy-to-follow guide Learn to apply Python for business intelligence tasks—preparing, exploring, analyzing, visualizing and reporting—in order to make more informed business decisions using data at hand Learn to explore and analyze business data, and build business intelligence dashboards with the help of various insightful recipes Who This Book Is For This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks. If you have a good knowledge and understanding of BI applications and have a “working” system in place, this book will enhance your toolbox. What You Will Learn Install Anaconda, MongoDB, and everything you need to get started with your data analysis Prepare data for analysis by querying cleaning and standardizing data Explore your data by creating a Pandas data frame from MongoDB Gain powerful insights, both statistical and predictive, to make informed business decisions Visualize your data by building dashboards and generating reports Create a complete data processing and business intelligence system In Detail The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it's a general-purpose language and gives you a lot of flexibility in data structures. Python is an excellent tool for more specialized analysis tasks, and is powered with related libraries to process data streams, to visualize datasets, and to carry out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems in one go. Rather than spending day after day scouring Internet forums for “how-to” information, here you’ll find more than 60 recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form it’s in. Within the first 30 minutes of opening this book, you’ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.< We’ll begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine. Next, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. The final part of the book will show you the most important task of BI—visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook. Style and approach This is a step-by-step guide to help you prepare, explore, analyze and report data, written in a conversational tone to make it easy to grasp. Whether you’re new to BI or are looking for a better way to work, you’ll find the knowledge and skills here to get your job done efficiently.

Become more fluent in Python—learn strategies and techniques for smart and high-performance Python programming About This Book Write smarter, bug-free, high performance code with minimal effort Uncover the best tools and options available to Python developers today Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively Who This Book Is For If you are a Python developer and you think that you don’t know everything about the language yet, then this is the book for you. We will unlock the mysteries and re-introduce you to the hidden features of Python to write efficient programs, making optimal use of the language. What You Will Learn Manipulate object creation processes for instances, classes, and functions Use the best possible language constructs to write data structures with super speed and maintainability Make efficient use of design patterns to decrease development time and make your code more maintainable Write better test cases with an improved understanding of the testing framework of Python and unittests, and discover how to develop new functionalities in it Write fully-optimized code with the Python language by profiling, compiling C modules, and more Unlock asynchronous programming to build efficient and scalable applications In Detail Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming. Style and approach This is book had been created to help you to “unlock” the best ways to tackle the challenges and performance bottlenecks that many Python developers face today. The keys are supported with program examples to help you understand the concepts better and see them in action.

Develop testable, modular, and maintainable Ruby software for the real world using RSpec About This Book Explore the concept of testability and how to implement tests that deliver the most value Maximize the quality of your Ruby code through a wide variety of tests Master the real-world tradeoffs of testing through detailed examples supported by in-depth discussion Who This Book Is For This book is aimed at the software engineer who wants to make their code more reliable and their development process easier. It is also aimed at test engineers who need to automate the testing of complex systems. Knowledge of Ruby is helpful, but even someone new to the language should find it easy to follow the code and tests. What You Will Learn Identify a unit of software for the purposes of testing Manage test states with hooks, fixtures, and mocks Handle external web services in tests using various techniques Configure RSpec flexibly and cleanly using support code and environment variables Interact with rich web apps in tests using Capybara Build the right feature with behavior-driven development Customize matchers and failure messages Verify correct development and production environments In Detail This book will teach you how to use RSpec to write high-value tests for real-world code. We start with the key concepts of the unit and testability, followed by hands-on exploration of key features. From the beginning, we learn how to integrate tests into the overall development process to help create high-quality code, avoiding the dangers of testing for its own sake. We build up sample applications and their corresponding tests step by step, from simple beginnings to more sophisticated versions that include databases and external web services. We devote three chapters to web applications with rich JavaScript user interfaces, building one from the ground up using behavior-driven development (BDD) and test-driven development (TDD). The code examples are detailed enough to be realistic while simple enough to be easily understood. Testing concepts, development methodologies, and engineering tradeoffs are discussed in detail as they arise. This approach is designed to foster the reader’s ability to make well-informed decisions on their own. Style and approach This comprehensive tutorial is packed with real-world examples of testing with RSpec. The most important features of RSpec are introduced in the early chapters and are used in examples of growing complexity in the following chapters. Concepts and methodologies are discussed in detail.

Over 40 recipes to get you up and running with programming using Julia About This Book Follow a practical approach to learn Julia programming the easy way Get an extensive coverage of Julia’s packages for statistical analysis This recipe-based approach will help you get familiar with the key concepts in Juli Who This Book Is For This book is for data scientists and data analysts who are familiar with the basics of the Julia language. Prior experience of working with high-level languages such as MATLAB, Python, R, or Ruby is expected. What You Will Learn Extract and handle your data with Julia Uncover the concepts of metaprogramming in Julia Conduct statistical analysis with StatsBase.jl and Distributions.jl Build your data science models Find out how to visualize your data with Gadfly Explore big data concepts in Julia In Detail Want to handle everything that Julia can throw at you and get the most of it every dayThis practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data. Style and approach This book has a recipe-based approach to help you grasp the concepts of Julia programming.

Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara About This Book A fast paced guide to help you utilize the benefits of Sahara in OpenStack to meet the Big Data world of Hadoop. A step by step approach to simplify the complexity of Hadoop configuration, deployment and maintenance. Who This Book Is For This book targets data scientists, cloud developers and Devops Engineers who would like to become proficient with OpenStack Sahara. Ideally, this book is well suitable for readers who are familiars with databases, Hadoop and Spark solutions. Additionally, a basic prior knowledge of OpenStack is expected. The readers should also be familiar with different Linux boxes, distributions and virtualization technology. What You Will Learn Integrate and Install Sahara with OpenStack environment Learn Sahara architecture under the hood Rapidly configure and scale Hadoop clusters on top of OpenStack Explore the Sahara REST API to create, deploy and manage a Hadoop cluster Learn the Elastic Processing Data (EDP) facility to execute jobs in clusters from Sahara Cover other Hadoop stable plugins existing supported by Sahara Discover different features provided by Sahara for Hadoop provisioning and deployment Learn how to troubleshoot OpenStack Sahara issues In Detail The Sahara project is a module that aims to simplify the building of data processing capabilities on OpenStack. The goal of this book is to provide a focused, fast paced guide to installing, configuring, and getting started with integrating Hadoop with OpenStack, using Sahara. The book should explain to users how to deploy their data-intensive Hadoop and Spark clusters on top of OpenStack. It will also cover how to use the Sahara REST API, how to develop applications for Elastic Data Processing on Openstack, and setting up hadoop or spark clusters on Openstack. Style and approach This book takes a step by step approach teaching how to integrate, deploy and manage data using OpenStack Sahara. It will teach how the OpenStack Sahara is beneficial by simplifying the complexity of Hadoop configuration, deployment and maintenance.

Exciting new capabilities to enable even easier DIY robotics with BeagleBone Blue About This Book ? Build powerful robots with the all new BeagleBone Blue ? Communicate with your robot and teach it to detect and respond to its environment ? Control walking, rolling, swimming, and flying robots with your iOS and Android mobile devices Who This Book Is For This book is for anyone who is curious about using new, low-cost hardware to create robotic projects and have previously been the domain of research labs, major universities, or defence departments. Some programming experience would be useful, but if you know how to use a personal computer, you can use this book to construct far more complex systems than you would have thought possible. What You Will Learn ? Power on and configure the BeagleBone Blue ? Get to know Simple programming techniques to enable the unique hardware capabilities of the BeagleBone Blue. ? Connect standard hardware to enable your projects to see, speak, hear, and move ? Build advanced capabilities into your projects, such as GPS and sonar sensors ? Build complex projects that can fly, or go under or on the water In Detail BeagleBone Blue is effectively a small, light, cheap computer in a similar vein to Raspberry Pi and Arduino. It has all of the extensibility of today’s desktop machines, but without the bulk, expense, or noise. This project guide provides step-by-step instructions that enable anyone to use this new, low-cost platform in some fascinating robotics projects. By the time you are finished, your projects will be able to see, speak, listen, detect their surroundings, and move in a variety of amazing ways. The book begins with unpacking and powering up the components. This includes guidance on what to purchase and how to connect it all successfully, and a primer on programming the BeagleBone Blue. You will add additional software functionality available from the open source community, including making the system see using a webcam, hear using a microphone, and speak using a speaker. You will then learn to use the new hardware capability of the BeagleBone Blue to make your robots move, as well as discover how to add sonar sensors to avoid or find objects. Later, you will learn to remotely control your robot through iOS and Android devices. At the end of this book, you will see how to integrate all of these functionalities to work together, before developing the most impressive robotics projects: Drone and Submarine. Style and approach Develop practical example projects with detailed explanations, combine the projects in a vast number of ways to create different robot designs, or work through them in sequence to discover the full capability of the BeagleBone Blue.

Build efficient web apps and deliver great results by integrating Angular and the .NET framework About This Book ? Become a more productive developer and learn to use frameworks that implement good development practices ? Achieve advanced autocompletion, navigation, and refactoring in Angular using Type* ? Follow a gradual introduction to the concepts with a lot of examples and explore the evolution of a production-ready application Who This Book Is For If you are a .NET developer who now wants to efficiently build single-page applications using the new features that Angular 4 has to offer, then this book is for you. Familiarity of HTML, CSS, and JavaScript is assumed to get the most from this book. What You Will Learn ? Create a standalone Angular application to prototype user interfaces ? Validate complex forms with Angular version 4 and use Bootstrap to style them ? Build RESTful web services that work well with single-page applications ? Use Gulp and Bower in Visual Studio to run tasks and manage JavaScript packages ? Implement automatic validation for web service requests to reduce your boilerplate code ? Use web services with Angular version 4 to offload and secure your application logic ? Test your Angular version 4 and web service code to improve the quality of your software deliverables In Detail Are you are looking for a better, more efficient, and more powerful way of building front-end web applications? Well, look no further, you have come to the right place! This book comprehensively integrates Angular version 4 into your tool belt, then runs you through all the new options you now have on hand for your web apps without bogging you down. The frameworks, tools, and libraries mentioned here will make your work productive and minimize the friction usually associated with building server-side web applications. Starting off with building blocks of Angular version 4, we gradually move into integrating TypeScript and ES6. You will get confident in building single page applications and using Angular for prototyping components. You will then move on to building web services and full-stack web application using ASP.NET WebAPI. Finally, you will learn the development process focused on rapid delivery and testability for all application layers. Style and approach This book covers everything there is to know about getting well-acquainted with Angular 4 and .NET without bogging you down. Everything is neatly laid out under clear headings for quick consultation, offering you the information required to understand a concept immediately, with short, relevant examples of each feature.

Frank Kane’s hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book ? Understand how Spark can be distributed across computing clusters ? Develop and run Spark jobs efficiently using Python ? A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane’s Taming Big Data with Apache Spark and Python will also help you. What You Will Learn ? Find out how you can identify Big Data problems as Spark problems ? Install and run Apache Spark on your computer or on a cluster ? Analyze large data sets across many CPUs using Spark’s Resilient Distributed Datasets ? Implement machine learning on Spark using the MLlib library ? Process continuous streams of data in real time using the Spark streaming module ? Perform complex network analysis using Spark’s GraphX library ? Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane’s Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.

Expand your boundaries by creating applications empowered with real-time data using RxJs without compromising performance About This Book ? Handle an infinite stream of incoming data using RxJs without going crazy ? Explore important RxJs operators that can help you improve your code readability ? Get acquainted with the different techniques and operators used to handle data traffic, which occurs when you receive data faster than you can process Who This Book Is For If you're a web developer with some basic JavaScript programming knowledge who wants to implement the reactive programming paradigm with JavaScript, then this book is for you. What You Will Learn ? Get to know the basics of functional reactive programming using RxJs ? Process a continuous flow of data with linear memory consumption ? Filter, group, and react to changes in your system ? Discover how to deal with data traffic ? Compose operators to create new operators and use them in multiple observables to avoid code repetition ? Explore transducers and see how they can improve your code readability ? Detect and recover from errors in observables using Retry and Catch operators ? Create your own reactive application: a real-time webchat In Detail If you’re struggling to handle a large amount of data and don’t know how to improve your code readability, then reactive programming is the right solution for you. It lets you describe how your code behaves when changes happen and makes it easier to deal with real-time data. This book will teach you what reactive programming is, and how you can use it to write better applications. The book starts with the basics of reactive programming, what Reactive Extensions is, and how can you use it in JavaScript along with some reactive code using Bacon. Next, you’ll discover what an Observable and an Observer are and when to use them.You'll also find out how you can query data through operators, and how to use schedulers to react to changes. Moving on, you’ll explore the RxJs API, be introduced to the problem of data traffic (backpressure), and see how you can mitigate it. You’ll also learn about other important operators that can help improve your code readability, and you’ll see how to use transducers to compose operators. At the end of the book, you’ll get hands-on experience of using RxJs, and will create a real-time web chat using RxJs on the client and server, providing you with the complete package to master RxJs. Style and approach This easy-to-follow guide is full of hands-on examples of reactive programming. Each topic is explained and placed in context, and for the more inquisitive there are more details of the concepts used, ending with an application using the concepts learned through the book.

Help your organization join the DevOps revolution About This Book ? Helps you skill up your DevOps knowledge without a strong set of prerequisites ? Deliver continuously improved software by showcasing the most advanced tools and techniques ? Acquire a deeper insight into implementing DevOps in your organization and deliver results from day 1 Who This Book Is For This book is written for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This book also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams. What You Will Learn ? Master development best practices. ? Understand how the Agile Delivery Methodology helps you ensure accuracy and quality. ? Analyze branching strategies such as branch creation, merging, and synchronization. ? Learn to automate builds to deploy and deliver code faster and more often ? Explore testing frameworks and how to automate testing ? Learn to put specific metrics in place to measure ROI of DevOps and monitor logs and events in a system In Detail This book follows a unique approach to modern DevOps using cutting-edge tools and technologies such as Ansible, Kubernetes, and Google Cloud Platform. This book starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective, and the use of cloud datacenters in combination with the most advanced DevOps tools to get the best out of a small team of skilled engineers. It also delves into how to use Kubernetes to run your applications in Google Cloud Platform, minimizing the friction and hassle of maintaining a cluster but ensuring its high availability. By the end of this book, you will be able to realign teams in your company and create a Continuous Delivery pipeline with Kubernetes and Docker. With strong monitoring in place, you will also be able to react to adverse events in your system, minimizing downtime and improving the overall up-time and stability of your system. Style and approach This book takes a step-by-step practical approach to the implementation of DevOps. This book will teach you how to enable IT organizations to deliver faster and smarter through a unique approach using Code-Build-Test-Release-Configure-Monitor (CBTRCM).

Your one-stop guide to building an efficient data science pipeline using Jupyter About This Book ? Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science ? Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using Jupyter ? Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guide Who This Book Is For This book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book. What You Will Learn ? Understand why Jupyter notebooks are a perfect fit for your data science tasks ? Perform scientific computing and data analysis tasks with Jupyter ? Interpret and explore different kinds of data visually with charts, histograms, and more ? Extend SQL's capabilities with Jupyter notebooks ? Combine the power of R and Python 3 with Jupyter to create dynamic notebooks ? Create interactive dashboards and dynamic presentations ? Master the best coding practices and deploy your Jupyter notebooks efficiently In Detail Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully. Style and approach This book is a perfect blend of concepts and practical examples, written in a way that is very easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Jupyter features with every chapter.