Perhaps you've taken on a larger project than the ones you're used to. Or you want to add a user interface or a networking component. Or you need to do more complicated error trapping.Whether your knowledge of Perl is casual or deep, this book will make you a more accomplished programmer. Here you can learn the complex techniques for production-ready Perl programs. This book explains methods for manipulating data and objects that may have looked like magic before. Furthermore, it sets Perl in the context of a larger environment, giving you the background you need for dealing with networks, databases, and GUIs. The discussion of internals helps you program more efficiently and embed Perl within C or C within Perl.Major topics covered include:Practical use of packages and classes (object-oriented programming) Complex data structures Persistence (e.g., using a database) Networking Graphical interfaces, using the Tk toolkit Interaction with C language functions Embedding and extending the Perl interpreterIn addition, the book patiently explains all sorts of language details you've always wanted to know more about, such as the use of references, trapping errors through the eval operator, non-blocking I/O, when closures are helpful, and using ties to trigger actions when data is accessed. You will emerge from this book a better hacker, and a proud master of Perl.

    As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.Expanded from Tyler Akidau's popular blog posts Streaming 101 and Streaming 102, this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You'll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax.You'll explore:How streaming and batch data processing patterns compareThe core principles and concepts behind robust out-of-order data processingHow watermarks track progress and completeness in infinite datasetsHow exactly-once data processing techniques ensure correctnessHow the concepts of streams and tables form the foundations of both batch and streaming data processingThe practical motivations behind a powerful persistent state mechanism, driven by a real-world exampleHow time-varying relations provide a link between stream processing and the world of SQL and relational algebra

    Author Pat Shaughnessy takes a scientific approach, laying out a series of experiments with Ruby code to take you behind the scenes of how programming languages work. You'll even find information on JRuby and Rubinius (two alternative implementations of Ruby), as well as in-depth explorations of Ruby's garbage collection algorithm. Ruby Under a Microscope will teach you:How a few computer science concepts underpin Ruby's complex implementation How Ruby executes your code using a virtual machine How classes and modules are the same inside Ruby How Ruby employs algorithms originally developed for Lisp How Ruby uses grammar rules to parse and understand your code How your Ruby code is translated into a different language by a compilerNo programming language needs to be a black box. Whether you're already intrigued by language implementation or just want to dig deeper into Ruby, you'll find Ruby Under a Microscope a fascinating way to become a better programmer. Covers Ruby 2.x, 1.9 and 1.8