Leverage Scala and the functional paradigm to build performant softwareAbout This Book·Get the first book to explore Scala performance techniques in depth!·Real-world inspired use cases illustrate and support the techniques studied and the language features·This book is written by Vincent Theron and Michael Diamant, software engineers with several years of experience in the high-frequency trading and programmatic advertising industriesWho This Book Is ForThis book assumes a basic exposure to the Scala programming language and the Java Virtual Machine. You should be able to read and understand moderately advanced Scala code. No other knowledge is required.What You Will Learn·Analyze the performance of JVM applications by developing JMH benchmarks and profiling with Flight Recorder·Discover use cases and performance tradeoffs of Scala language features, and eager and lazy collections·Explore event sourcing to improve performance while working with stream processing pipelines·Dive into asynchronous programming to extract performance on multicore systems using Scala Future and Scalaz Task·Design distributed systems with conflict-free replicated data types (CRDTs) to take advantage of eventual consistency without synchronization·Understand the impact of queues on system performance and apply the Free monad to build systems robust to high levels of throughputIn DetailScala is a statically and strongly typed language that blends functional and object-oriented paradigms. It has experienced growing popularity as an appealing and pragmatic choice to write production-ready software in the functional paradigm. Scala and the functional programming paradigm enable you to solve problems with less code and lower maintenance costs than the alternatives. However, these gains can come at the cost of performance if you are not careful.Scala High Performance Programming arms you with the knowledge you need to create performant Scala applications. Starting with the basics of understanding how to define performance, we explore Scala's language features and functional programming techniques while keeping a close eye on performance throughout all the topics.We introduce you as the newest software engineer at a fictitious financial trading company, named MV Trading. As you learn new techniques and approaches to reduce latency and improve throughput, you'll apply them to MV Trading's business problems. By the end of the book, you will be well prepared to write production-ready, performant Scala software using the functional paradigm to solve real-world problems.Style and approachThis step-by-step guide will help you create high performance applications using Scala. Packed with lots of code samples, tips and tricks, every topic is explained in a detailed, easy-to-understand manner.

Become an ace Python programmer by learning best coding practices and advance-level concepts with Python 3.5About This Book·Based on the latest stable version of Python (version 3.5)·Creating well manageable code that will run in various environments with different sets of dependencies·Packed with advanced concepts and best practices to write efficient Python codeWho This Book Is ForThe book would appeal to web developers and Python programmers who want to start using version 3.5 and write code efficiently. Basic knowledge of Python programming is expected.What You Will Learn·Conventions and best practices that are widely adopted in the python community·Package python code effectively for community and production use·Easy and lightweight ways to automate code deployment on remote systems·Improve your code's quality, reliability, and performance·Write concurrent code in python·Extend python with code written in different languagesIn DetailPython is a dynamic programming language, used in a wide range of domains by programmers who find it simple, yet powerful. Even if you find writing Python code easy, writing code that is efficient and easy to maintain and reuse is a challenge.The focus of the book is to familiarize you with common conventions, best practices, useful tools and standards used by python professionals on a daily basis when working with code.You will begin with knowing new features in Python 3.5 and quick tricks for improving productivity. Next, you will learn advanced and useful python syntax elements brought to this new version. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. You will learn to choose good names, write packages, and create standalone executables easily.You will also be using some powerful tools such as buildout and vitualenv to release and deploy the code on remote servers for production use. Moving on, you will learn to effectively create Python extensions with C, C++, cython, and pyrex. The important factors while writing code such as code management tools, writing clear documentation, and test-driven development are also covered.You will now dive deeper to make your code efficient with general rules of optimization, strategies for finding bottlenecks, and selected tools for application optimization.By the end of the book, you will be an expert in writing efficient and maintainable code.Style and approach An easy-to-follow guide that covers industry followed best practices in Python programming

Over 90 recipes to get you creating modern, fast, and high-quality games with C++About This Book·Level up your game programming skills with insightful recipes on building games in C++·Analyze the less commonly discussed problems with C++ applications to develop the best games·Improve the performance of your games with the new multi-threading and networking features of C++11Who This Book Is ForThis book is ideal for aspiring game developers who are proficient in C++ programming and are interested in developing games with C++. Some basic knowledge of game programming will be useful but is not necessary.What You Will Learn·Explore the basics of game development to build great and effective features for your game·Develop your first text-based game using the various concepts of object-oriented programming·Use algorithms when developing games with various sorting and searching techniques·Exploit data structures in a game's development for data storage·Create your first 2D game using GDI library and sprite sheet.·Build your first advanced 2D game of space invaders using patterns such as observer, fly-weight, abstract factory, command, state, and moreIn DetailC++ is one of the preferred languages for game development as it supports a variety of coding styles that provides low-level access to the system. C++ is still used as a preferred game programming language by many as it gives game programmers control of the entire architecture, including memory patterns and usage. However, there is little information available on how to harness the advanced features of C++ to build robust games.This book will teach you techniques to develop logic and game code using C++. The primary goal of this book is to teach you to create high-quality games using C++ game programming scripts and techniques, regardless of the library or game engine you use. It will show you how to make use of the object-oriented capabilities of C++ so you can write well-structured and powerful games of any genre. The book also explores important areas such as physics programming and audio programming, and gives you other useful tips and tricks to improve your code.By the end of this book, you will be competent in game programming using C++, and will be able to develop your own games in C++.Style and approachEvery recipe of this guide covers a task that will help you build different aspects of a game, such as taking player input and displaying the output, using control flow to implement decision making, and so on. Each recipe begins with gentle introduction and key concepts, has illustrated examples of use, and ends with a detailed but informative description of the inner workings.

Machines can LEARN ?!?! Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning Note: Bonus chapters included inside! Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a worthwhile read and the most valuable investment you can make for yourself Other books easily retail for $50-$100+ and have far less quality content. This book is by far superior and exceeds any other book available for beginners. What You'll Learn Supervised Learning Unsupervised Learning Reinforced Learning Algorithms Decision Tree Random Forest Neural Networks Python Deep Learning And much, much more! This is the most comprehensive and easy to read step by step guide in machine learning that exists. Learn from one of the most reliable programmers alive and expert in the field You do not want to miss out on this incredible offer!

Have you put your book out there and been disappointed in your sales? Perhaps you’ve tried a variety of marketing tactics to boost discoverability: blog posts, social media, book tours, paid ads in a variety of venues. But nothing is working. The publishing landscape changes every year. The number of books published has increased and the competition for readers is more than it has been before. The key is to?define your audience and then convince those potential readers of the?value?of your book. Your marketing time and money should primarily be spent on a message of value–not price, not story, and not genre. This book provides specific techniques to exploit that value without resorting to the typical overexposure in social media and newsletters with “Buy My Book” sales messaging. Instead, focus on the top three proven techniques that actually sell books. Follow step-by-step instructions and timelines to learn how to: 1) Create an Effective Plan for Communicating to Readers; 2) Use Social Media and Email lists to Engage with Your Readers; and 3) Plan for Effective Campaigns for both Book Launches and Backlist Rejuvenation throughout the year. In addition this book provides techniques to: Distinguish specific groups of readers most likely to buy your novel or nonfiction book. Understand your competition and the advantages that your book offers. Clarify hooks that capture attention of the media, reviewers, and readers. Identify where and how to reach readers, reviewers, and media. Create and implement a consistent brand throughout all marketing efforts. Effectively select, from 100+ options, the appropriate marketing tactics and timing that matches your book intentions and values. Maximize organic reach and stay to a budget of less than $100 per book campaign. Develop a long-term online marketing plan.

Once you have a finished book, you need to get it into readers’ hands. Loading your book to a vendor looks deceivingly easy. However, the career author knows that each vendor has its own methods for promoting books, performing searches, and identifying ready buyers. You need to take advantage of these differences in order to maximize your profits and discoverability. Capitalize on competitive retail pricing in different markets, and use effective metadata to draw more readers to your books. Learn to: Write compelling book blurbs for each title that focus on “reader cookies” and marketing. Unlock keywords and get access to hidden category options. Take advantage of search algorithm nuances at Amazon, Barnes and Noble, Kobo, and Apple. Use aggregators to increase distribution opportunities around the world. Evaluate opportunities for direct sales to bookstores and individual consumers.

Snapchat ?Marketing ?Success Virtually all social media sites out there have users communicating with text or chat…sure, some social media sites are starting to adopt video and there is some image sharing, but at the core, comments are left and messages are sent. That is NOT the case with Snapchat. Communication is all done through images and videos with the occasional small caption. This is how the younger generation likes to communicate… Short and sweet. Snapchat is one of the most unusual social networks to make it big online. You wouldn’t have thought that such a simple concept, handled arguably quite poorly to begin with, would become the huge behemoth it has today. And yet it has – and right now it’s flying higher than ever thanks to its 2.0 update. Snapchat’s story is surprising enough on face value but when you learn some of the more surprising twists and turns, the plot only thickens. Read on and let’s take a closer look at some of the things you probably didn’t know about Snapchat… ?Snapchat is Highly Personal If you’ve had your ear to the ground, then you may have heard the buzz about live streaming. Live streaming services are quickly becoming incredibly popular thanks to their ability to allow direct and live communication between a brand and its followers. But in fact, Snapchat has been providing something very similar for a long time. Snapchat allows you to update people about your trip to another country, it allows you to invite people to watch the public unveiling of your new product or service and it allows you to share a joke as you’re coming out the shower. This kind of personal communication has the power to create much more engagement, familiarity and trust. And if you look at the big names on Snapchat – like Arnold Schwarzenegger – then you’ll be able to easily see how it can be used to great effect. It Has Incredible Engagement Yes, Snapchat’s ‘instant’ nature gives it the potential to greatly increase engagement. And in reality, that’s exactly what it does. If ever you think you can’t make it big online, let Snapchat be an inspiring story to suggest otherwise. Snapchat is by no means some miracle feat of coding. Rather, this was actually a relatively poorly put together piece of code and would sap huge amounts of battery and CPU power when running in the background even! That’s not to say it’s a bad app – only that it’s all the more impressive it was able to do as well as it did. Facebook Tried to Buy Snapchat When it was enjoying its first major surge in popularity, Snapchat was offered a purchase bid from Facebook worth $3 billion. That’s a huge vote of confidence from the biggest social network on the planet… and Snapchat turned it down! ??Here’s Why You Need To Take A Close Look At Snapchat… ·Although often overlooked, Snapchat is one of the most powerful new social networks for driving traffic online…? ·Snapchatis all about socialization and a great way to interact with your brand? ·Snapchat was recently offered $3 Billion by Facebook… and they turned it down… this makes it clear that Snapchat is sure that it’s only getting bigger and better!? ·Engagement on Snapchat is MASSIVE, and growing… because all communication is focused on image and video sharing, your audience is very attentive and interested in anything you put in front of them…...Snapchat is adding 200 million new active users every single month!

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Master the art of detecting and averting advanced network security attacks and techniques About This Book ?Deep dive into the advanced network security attacks and techniques by leveraging tools such as Kali Linux 2, MetaSploit, Nmap, and Wireshark ?Become an expert in cracking WiFi passwords, penetrating anti-virus networks, sniffing the network, and USB hacks ?This step-by-step guide shows you how to confidently and quickly detect vulnerabilities for your network before the hacker does Who This Book Is For This book is for network security professionals, cyber security professionals, and Pentesters who are well versed with fundamentals of network security and now want to master it. So whether you're a cyber security professional, hobbyist, business manager, or student aspiring to becoming an ethical hacker or just want to learn more about the cyber security aspect of the IT industry, then this book is definitely for you. What You Will Learn ?Use SET to clone webpages including the login page ?Understand the concept of Wi-Fi cracking and use PCAP file to obtain passwords ?Attack using a USB as payload injector ?Familiarize yourself with the process of trojan attacks ?Use Shodan to identify honeypots, rogue access points, vulnerable webcams, and other exploits found in the database ?Explore various tools for wireless penetration testing and auditing ?Create an evil twin to intercept network traffic ?Identify human patterns in networks attacks In Detail Computer networks are increasing at an exponential rate and the most

Become a master of Python programming using the small yet powerful Raspberry Pi Zero About This Book ?This is the first book on the market that teaches Python programming with Raspberry Pi Zero ?Develop exciting applications such as a mobile robot and home automation controller using Python ?This step-by-step guide helps you make the most out of Raspberry Pi Zero using Python programming Who This Book Is For This book is aimed at hobbyists and programmers who want to learn Python programming and develop applications using the Pi Zero. They should have basic familiarity with electronics. What You Will Learn ?Configure Raspberry Pi using Python ?Control loops to blink an LED using simple arithmetic operations ?Understand how interface sensors, actuators, and LED displays work ?Get to grips with every aspect of Python programming using practical examples ?Explore machine vision, data visualization, and scientific computations ?Build a mobile robot using the Raspberry Pi as the controller ?Build a voice-activated home automation controller In Detail Raspberry Pi Zero is a super-small and super-affordable product from Raspberry Pi that is packed with a plethora of features and has grabbed the notice of programmers, especially those who use Python. This step-by-step guide will get you developing practical applications in Python using a Raspberry Pi Zero. It will become a valuable resource as you learn the essential details of interfacing sensors and actuators to a Raspberry Pi, as well as acquiring and displaying data. You will get started by writing a Python program that blinks an LED at 1-second intervals. Then you will learn to write simple logic to execute tasks based upon sensor data (for example, to control a motor) and retrieve data from the web (such as to check e-mails to provide a visual alert). Finally, you will learn to build a home automation system with Python where different appliances are controlled using the Raspberry Pi. The examples discussed in each chapter of this book culminate in a project that help improve the quality of people's lives. Style and approach This will be a learning, step-by-step guide to teach Python programming using the famous Raspberry Pi Zero. The book is packed with practical examples at every step along with tips and tricks for the Raspberry Pi fans

Work through recipes to unlock the full potential of the next generation graphics API―Vulkan About This Book ?This book explores a wide range of modern graphics programming techniques and GPU compute methods to make the best use of the Vulkan API ?Learn techniques that can be applied to a wide range of platforms desktop, smartphones, and embedded devices Who This Book Is For This book is ideal for developers who know C/C++ languages, have some basic familiarity with graphics programming, and now want to take advantage of the new Vulkan API in the process of building next generation computer graphics. Some basic familiarity of Vulkan would be useful to follow the recipes. OpenGL developers who want to take advantage of the Vulkan API will also find this book useful. What You Will Learn?Work with Swapchain to present images on screen ?Create, submit, and synchronize operations processed by the hardware ?Create buffers and images, manage their memory, and upload data to them from CPU ?Explore de*or sets and set up an interface between application and shaders ?Organize drawing operations into a set of render passes and subpasses ?Prepare graphics pipelines to draw 3D scenes and compute pipelines to perform mathematical calculations ?Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques ?Write shaders in GLSL and convert them into SPIR-V assemblies ?Find out about and

"Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book ?Explore and create intelligent systems using cutting-edge deep learning techniques ?Implement deep learning algorithms and work with revolutionary libraries in Python ?Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more Who This Book Is For This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. What You Will Learn ?Get a practical deep dive into deep learning algorithms ?Explore deep learning further with Theano, Caffe, Keras, and TensorFlow ?Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines ?Dive into Deep Belief Nets and Deep Neural Networks ?Discover more deep learning algorithms with Dropout and Convolutional Neural Networks ?Get to know device strategies so you can use deep learning algorithms and libraries in the real world In Detail With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques. Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside. Style and approach Python Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects. "

"Key Features ?Get to the grips with the latest version of Apache Spark ?Utilize Spark's machine learning library to implement predictive analytics ?Leverage Spark's powerful tools to load, analyze, clean, and transform your data Book De*ion Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression. This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. What you will learn ?Get hands-on with the latest version of Spark ML ?Create your first Spark program with Scala and Python ?Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2 ?Access public machine learning datasets and use Spark to load, process, clean, and transform data ?Use Spark's machine learning library to implement programs by utilizing well-known machine learning models ?Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models ?Write Spark functions to evaluate the performance of your machine learning models "