Mobile and Web Messaging
Learn how to use messaging technologies to build responsive and resilient applications for mobile devices and web browsers. With this hands-on guide, you'll use the STOMP and MQTT messaging protocols to write iOS and web applications capable of sending and receiving GPS and device sensor data, text messages, and alerts. Messaging protocols are not only simple to use, but also conserve network bandwidth, device memory, and batteries. Using this book's step-by-step format, author Jeff Mesnil helps you work with Objective-C and JavaScript libraries, as well as the protocols. All you need to get started are basic programming skills. ...
Learn how to use messaging technologies to build responsive and resilient applications for mobile devices and web browsers. With this hands-on guide, you'll use the STOMP and MQTT messaging protocols to write iOS and web applications capable of sending and receiving GPS and device sensor data, text messages, and alerts. Messaging protocols are not only simple to use, but also conserve network bandwidth, device memory, and batteries. Using this book's step-by-step format, author Jeff Mesnil helps you work with Objective-C and JavaScript libraries, as well as the protocols. All you need to get started are basic programming skills. ...
Moving Hadoop to the Cloud
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You'll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You'll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks; Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage; Build a functional Hadoop cluster on cloud i ...
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You'll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You'll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks; Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage; Build a functional Hadoop cluster on cloud i ...
Agile Data Science 2.0
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You'll learn an iterative approach that lets you quickly change the kind of analysis you're doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid; Extract features for statistical models from a single data ...
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You'll learn an iterative approach that lets you quickly change the kind of analysis you're doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid; Extract features for statistical models from a single data ...
Spock: Up and Running
Most developers would agree that writing automated tests is a good idea, but writing good, well-structured tests is still an elusive skill for many. For Java and Groovy developers, however, there's good news. This practical guide shows you how to write concise and highly readable tests with Spock, the most innovative testing and specification framework for the JVM since JUnit. Author Rob Fletcher takes you from Spock basics to advanced topics, using fully worked integration examples. Through the course of this book, you'll build a simple web application - Squawker - that allows users to post short messages. You'll discover how much easier it is to write automated tests with Spock's straightforward and expressive language. Start by learning how to write simple unit tests; Understand the lifecycle of Spock specifications and feature methods; Dive into interaction testing, using Spock's intuitive syntax for dealing with mocks and stubs; Learn about parameterized tests - writing feat ...
Most developers would agree that writing automated tests is a good idea, but writing good, well-structured tests is still an elusive skill for many. For Java and Groovy developers, however, there's good news. This practical guide shows you how to write concise and highly readable tests with Spock, the most innovative testing and specification framework for the JVM since JUnit. Author Rob Fletcher takes you from Spock basics to advanced topics, using fully worked integration examples. Through the course of this book, you'll build a simple web application - Squawker - that allows users to post short messages. You'll discover how much easier it is to write automated tests with Spock's straightforward and expressive language. Start by learning how to write simple unit tests; Understand the lifecycle of Spock specifications and feature methods; Dive into interaction testing, using Spock's intuitive syntax for dealing with mocks and stubs; Learn about parameterized tests - writing feat ...
Mastering Feature Engineering
Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic. Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you're ready to get started. Not only will you learn how to implement feature engineering in a systematic and principled way, you'll also learn how to practice better data science. ...
Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic. Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you're ready to get started. Not only will you learn how to implement feature engineering in a systematic and principled way, you'll also learn how to practice better data science. ...
Hands-On GUI Programming with C++ and Qt5
Qt 5, the latest version of Qt, enables you to develop applications with complex user interfaces for multiple targets. It provides you with faster and smarter ways to create modern UIs and applications for multiple platforms. This book will teach you to design and build graphical user interfaces that are functional, appealing, and user-friendly. In the initial part of the book, you will learn what Qt 5 is and what you can do with it. You will explore the Qt Designer, discover the different types of widgets generally used in Qt 5, and then connect your application to the database to perform dynamic operations. Next, you will be introduced to Qt 5 chart which allows you to easily render different types of graphs and charts and incorporate List View Widgets in your application. You will also work with various Qt modules, like QtLocation, QtWebEngine, and the networking module through the course of the book. Finally, we will focus on cross-platform development with QT 5 that enables you ...
Qt 5, the latest version of Qt, enables you to develop applications with complex user interfaces for multiple targets. It provides you with faster and smarter ways to create modern UIs and applications for multiple platforms. This book will teach you to design and build graphical user interfaces that are functional, appealing, and user-friendly. In the initial part of the book, you will learn what Qt 5 is and what you can do with it. You will explore the Qt Designer, discover the different types of widgets generally used in Qt 5, and then connect your application to the database to perform dynamic operations. Next, you will be introduced to Qt 5 chart which allows you to easily render different types of graphs and charts and incorporate List View Widgets in your application. You will also work with various Qt modules, like QtLocation, QtWebEngine, and the networking module through the course of the book. Finally, we will focus on cross-platform development with QT 5 that enables you ...
Mastering Go
The Go programming language, often referred to as Golang, is really making strides, with some masterclass developments, architected by the greatest programming minds. Tobias Lutke, CEO of Shopify, recently quoted as saying "Go will be the server language of the future", powerful words, with much ambition. Go programmers are in high demand, but more controversially, Go takes the stage, where C and Unix programmers previously led the way. The growth of the Go language has seen it become the means by which systems, networking, web, and cloud applications are implemented. Comfortable with syntax, you'll benefit by mastering the use of the libraries and utilise its features, speed, and efficiency, for which the Go ecology is justly famous. You already know a little Go syntax and you've written some small projects, most Go programmers face the difficulty of having to integrate their Golang skills with production code. Typical introductions to Go programming, often stop short of this tr ...
The Go programming language, often referred to as Golang, is really making strides, with some masterclass developments, architected by the greatest programming minds. Tobias Lutke, CEO of Shopify, recently quoted as saying "Go will be the server language of the future", powerful words, with much ambition. Go programmers are in high demand, but more controversially, Go takes the stage, where C and Unix programmers previously led the way. The growth of the Go language has seen it become the means by which systems, networking, web, and cloud applications are implemented. Comfortable with syntax, you'll benefit by mastering the use of the libraries and utilise its features, speed, and efficiency, for which the Go ecology is justly famous. You already know a little Go syntax and you've written some small projects, most Go programmers face the difficulty of having to integrate their Golang skills with production code. Typical introductions to Go programming, often stop short of this tr ...
Communications Receivers, 4th Edition
This thoroughly updated guide offers comprehensive explanations of the science behind today's radio receivers along with practical guidance on designing, constructing, and maintaining real-world communications systems. You will explore system planning, antennas and antenna coupling, amplifiers and gain control, filters, mixers, demodulation, digital communication, and the latest software defined radio (SDR) technology. Written by a team of telecommunication experts, Communications Receivers: Principles and Design, Fourth Edition, features technical illustrations, schematic diagrams, and detailed examples. Basic radio considerations; Radio receiver characteristics; Receiver system planning; Receiver implementation considerations; RF and baseband techniques for Software-Defined Radios; Transceiver SDR considerations; Antennas and antenna coupling; Mixers; Frequency sources and control; Ancillary receiver circuits; Performance measurement. ...
This thoroughly updated guide offers comprehensive explanations of the science behind today's radio receivers along with practical guidance on designing, constructing, and maintaining real-world communications systems. You will explore system planning, antennas and antenna coupling, amplifiers and gain control, filters, mixers, demodulation, digital communication, and the latest software defined radio (SDR) technology. Written by a team of telecommunication experts, Communications Receivers: Principles and Design, Fourth Edition, features technical illustrations, schematic diagrams, and detailed examples. Basic radio considerations; Radio receiver characteristics; Receiver system planning; Receiver implementation considerations; RF and baseband techniques for Software-Defined Radios; Transceiver SDR considerations; Antennas and antenna coupling; Mixers; Frequency sources and control; Ancillary receiver circuits; Performance measurement. ...
Think Like a Data Scientist
Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there. Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a str ...
Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there. Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a str ...
Python Data Science Handbook
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. IPython and Jupyter: provide computational environments for data scientists using Python; NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python; Pandas: features the DataFrame for efficient stora ...
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. IPython and Jupyter: provide computational environments for data scientists using Python; NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python; Pandas: features the DataFrame for efficient stora ...