Streaming Systems
Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau's popular series of blog posts "Streaming 101" and "Streaming 102", this practical book shows data engineers, data scientists, and developers how to work with streaming or event-time data in a conceptual and platform-agnostic way. You'll go from "101"-level understanding of stream processing to a nuanced grasp of the what, where, when, and how of processing real-time data streams. Dive deep into topics including watermarks and windowing, as well as state and timers in the context of stream processing. Although the book uses Apache Beam code snippets to make examples concrete, it presents a general and broad explanation of streaming that's not tied to a specific frame ...
Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau's popular series of blog posts "Streaming 101" and "Streaming 102", this practical book shows data engineers, data scientists, and developers how to work with streaming or event-time data in a conceptual and platform-agnostic way. You'll go from "101"-level understanding of stream processing to a nuanced grasp of the what, where, when, and how of processing real-time data streams. Dive deep into topics including watermarks and windowing, as well as state and timers in the context of stream processing. Although the book uses Apache Beam code snippets to make examples concrete, it presents a general and broad explanation of streaming that's not tied to a specific frame ...
Applied Text Analysis with Python
The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science. This book presents a concise, focused, and applied approach to text analysis with Python, and covers topics including text ingestion and wrangling, basic machine learning on text, classification for text analysis, entity resolution, and text visualization. Applied Text Analysis with Python will enable you to design and develop language-aware data products. You'll learn how and why machine learning algorithms make decisions about language to analyze text; how to ingest, wrangle, and preprocess language d ...
The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science. This book presents a concise, focused, and applied approach to text analysis with Python, and covers topics including text ingestion and wrangling, basic machine learning on text, classification for text analysis, entity resolution, and text visualization. Applied Text Analysis with Python will enable you to design and develop language-aware data products. You'll learn how and why machine learning algorithms make decisions about language to analyze text; how to ingest, wrangle, and preprocess language d ...
The Arduino Inventor's Guide
The Arduino microcontroller makes it easy to learn about electronics, but it can be hard to know where to start. The 10 projects in this book will teach you to build, code, and invent with the super-smart Arduino and a handful of parts. First, you'll master the basics with a primer that explains how a circuit works, how to read a wiring schematic, and how to build and test projects with a solderless breadboard. Then you'll learn how to make your hardware move, buzz, flash, and interact with the world using motors, LEDs, sensors, and more as you build these 10 projects:The classic first Arduino project: blinking an LED;A miniature traffic light;An LED screen that displays animated patterns and shapes;A fast-paced button-smashing game to test your reflexes;A light-sensitive, color-changing night-light;A challenging ball-balancing game;A temperature-sensing mini greenhouse with an automated fan and vent;A motorized ...
The Arduino microcontroller makes it easy to learn about electronics, but it can be hard to know where to start. The 10 projects in this book will teach you to build, code, and invent with the super-smart Arduino and a handful of parts. First, you'll master the basics with a primer that explains how a circuit works, how to read a wiring schematic, and how to build and test projects with a solderless breadboard. Then you'll learn how to make your hardware move, buzz, flash, and interact with the world using motors, LEDs, sensors, and more as you build these 10 projects:The classic first Arduino project: blinking an LED;A miniature traffic light;An LED screen that displays animated patterns and shapes;A fast-paced button-smashing game to test your reflexes;A light-sensitive, color-changing night-light;A challenging ball-balancing game;A temperature-sensing mini greenhouse with an automated fan and vent;A motorized ...
Coding iPhone Apps for Kids
Apple's Swift is a powerful, beginner-friendly programming language that anyone can use to make cool apps for the iPhone or iPad. In Coding iPhone Apps for Kids, you'll learn how to use Swift to write programs, even if you've never programmed before. You'll work in the Xcode playground, an interactive environment where you can play with your code and see the results of your work immediately! You'll learn the fundamentals of programming too, like how to store data in arrays, use conditional statements to make decisions, and create functions to organize your code - all with the help of clear and patient explanations. Once you master the basics, you'll build a birthday tracker app so that you won't forget anyone's birthday and a platform game called Schoolhouse Skateboarder with animation, jumps, and more! As you begin your programming adventure, you'll learn how to: Build programs to save you time, like one that invites all of your friends to a party with just the click of a but ...
Apple's Swift is a powerful, beginner-friendly programming language that anyone can use to make cool apps for the iPhone or iPad. In Coding iPhone Apps for Kids, you'll learn how to use Swift to write programs, even if you've never programmed before. You'll work in the Xcode playground, an interactive environment where you can play with your code and see the results of your work immediately! You'll learn the fundamentals of programming too, like how to store data in arrays, use conditional statements to make decisions, and create functions to organize your code - all with the help of clear and patient explanations. Once you master the basics, you'll build a birthday tracker app so that you won't forget anyone's birthday and a platform game called Schoolhouse Skateboarder with animation, jumps, and more! As you begin your programming adventure, you'll learn how to: Build programs to save you time, like one that invites all of your friends to a party with just the click of a but ...
Cracking Codes with Python
Learn how to program in Python while making and breaking ciphers - algorithms used to create and send secret messages! After a crash course in Python programming basics, you'll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère cipher. You'll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, the type of encryption used to secure today's online transactions, including digital signatures, email, and Bitcoin. Each program includes the full code and a line-by-line explanation of how things work. By the end of the book, you'll have learned how to code in Python and you'll have the clever programs to prove it! You'll also learn how to: Combine loops, variables, and flow control statements into real working programs; Use dictionary files to instantly detect whether decrypted messages are valid English or gibberish; Create test programs to make sur ...
Learn how to program in Python while making and breaking ciphers - algorithms used to create and send secret messages! After a crash course in Python programming basics, you'll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère cipher. You'll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, the type of encryption used to secure today's online transactions, including digital signatures, email, and Bitcoin. Each program includes the full code and a line-by-line explanation of how things work. By the end of the book, you'll have learned how to code in Python and you'll have the clever programs to prove it! You'll also learn how to: Combine loops, variables, and flow control statements into real working programs; Use dictionary files to instantly detect whether decrypted messages are valid English or gibberish; Create test programs to make sur ...
Head First Android Development, 2nd Edition
If you have an idea for a killer Android app, this fully revised and updated edition will help you build your first working application in a jiffy. You'll learn hands-on how to structure your app, design flexible and interactive interfaces, run services in the background, make your app work on various smartphones and tablets, and much more. It's like having an experienced Android developer sitting right next to you! All you need to get started is some Java know-how. Based on the latest research in cognitive science and learning theory, Head First Android Development uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. ...
If you have an idea for a killer Android app, this fully revised and updated edition will help you build your first working application in a jiffy. You'll learn hands-on how to structure your app, design flexible and interactive interfaces, run services in the background, make your app work on various smartphones and tablets, and much more. It's like having an experienced Android developer sitting right next to you! All you need to get started is some Java know-how. Based on the latest research in cognitive science and learning theory, Head First Android Development uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. ...
Think Data Structures
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
Concurrency in Go
Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If you're a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems. Author Katherine Cox-Buday takes you step-by-step through the process. You'll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size. Understand how Go addresses fundamental problems that make concurrency difficult to do correctly; Learn the key differences between concurrency and parallelism; Dig into the syntax of Go's memory synchronization primitives; Form patterns with these primitives to write maintainable concurrent code; Compose patterns into a series of ...
Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If you're a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems. Author Katherine Cox-Buday takes you step-by-step through the process. You'll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size. Understand how Go addresses fundamental problems that make concurrency difficult to do correctly; Learn the key differences between concurrency and parallelism; Dig into the syntax of Go's memory synchronization primitives; Form patterns with these primitives to write maintainable concurrent code; Compose patterns into a series of ...
C# 7.0 Pocket Reference
When you need answers for programming with C# 7.0, this tightly focused reference tells you exactly what you need to know - without long introductions or bloated examples. Easy-to-browse and ideal as a quick reference, this guide will help experienced C#, Java, and C++ programmers get up to speed with the latest version of the C# language. All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 7.0 in a Nutshell, this pocket reference covers C# 7.0 without skimping on detail, including: All of C#'s fundamentals; Features new to C# 7.0, including tuples, pattern matching, and deconstructors; Advanced topics: operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closures; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsaf ...
When you need answers for programming with C# 7.0, this tightly focused reference tells you exactly what you need to know - without long introductions or bloated examples. Easy-to-browse and ideal as a quick reference, this guide will help experienced C#, Java, and C++ programmers get up to speed with the latest version of the C# language. All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 7.0 in a Nutshell, this pocket reference covers C# 7.0 without skimping on detail, including: All of C#'s fundamentals; Features new to C# 7.0, including tuples, pattern matching, and deconstructors; Advanced topics: operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closures; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsaf ...
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets; Use scikit-learn to track an example machine-learning project end-to-end; Explore several training models, including support vector machines, deci ...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets; Use scikit-learn to track an example machine-learning project end-to-end; Explore several training models, including support vector machines, deci ...