Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key Features * Leverage Julia's high speed and efficiency to build fast, efficient applications * Perform supervised and unsupervised machine learning and time series analysis * Tackle problems concurrently and in a distributed environment Book Description Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI). You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs. Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system. By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications. This Learning Path includes content from the following Packt products: * Julia 1.0 Programming - Second Edition by Ivo Balbaert * Julia Programming Projects by Adrian Salceanu What you will learn * Create your own types to extend the built-in type system * Visualize your data in Julia with plotting packages * Explore the use of built-in macros for testing and debugging * Integrate Julia with other languages such as C, Python, and MATLAB * Analyze and manipulate datasets using Julia and DataFrames * Develop and run a web app using Julia and the HTTP package * Build a recommendation system using supervised machine learning Who this book is for If you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of mathematics and programming is a must.

Teach your machine to think for itself! Key Features * Delve into supervised learning and grasp how a machine learns from data * Implement popular machine learning algorithms from scratch, developing a deep understanding along the way * Explore some of the most popular scientific and mathematical libraries in the Python language Book Description Supervised machine learning is used in a wide range of sectors (such as finance, online advertising, and analytics) because it allows you to train your system to make pricing predictions, campaign adjustments, customer recommendations, and much more while the system self-adjusts and makes decisions on its own. As a result, it's crucial to know how a machine “learns” under the hood. This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You’ll embark on this journey with a quick overview and see how supervised machine learning differs from unsupervised learning. Next, we explore parametric models such as linear and logistic regression, non-parametric methods such as decision trees, and various clustering techniques to facilitate decision-making and predictions. As we proceed, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning. By the end of this book, you’ll be equipped with hands-on techniques and will have gained the practical know-how you need to quickly and powerfully apply algorithms to new problems. What you will learn * Crack how a machine learns a concept and generalize its understanding to new data * Uncover the fundamental differences between parametric and non-parametric models * Implement and grok several well-known supervised learning algorithms from scratch * Work with models in domains such as ecommerce and marketing * Expand your expertise and use various algorithms such as regression, decision trees, and clustering * Build your own models capable of making predictions * Delve into the most popular approaches in deep learning such as transfer learning and neural networks Who this book is for This book is for aspiring machine learning developers who want to get started with supervised learning. Intermediate knowledge of Python programming—and some fundamental knowledge of supervised learning—are expected.

Delve into the world of Kotlin and learn to build powerful Android and web applications Key Features * Learn the fundamentals of Kotlin to write high-quality code * Test and debug your applications with the different unit testing frameworks in Kotlin * Explore Kotlin's interesting features such as null safety, reflection, and annotations Book Description Kotlin is a general-purpose programming language used for developing cross-platform applications. Complete with a comprehensive introduction and projects covering the full set of Kotlin programming features, this book will take you through the fundamentals of Kotlin and get you up to speed in no time. Learn Kotlin Programming covers the installation, tools, and how to write basic programs in Kotlin. You'll learn how to implement object-oriented programming in Kotlin and easily reuse your program or parts of it. The book explains DSL construction, serialization, null safety aspects, and type parameterization to help you build robust apps. You'll learn how to destructure expressions and write your own. You'll then get to grips with building scalable apps by exploring advanced topics such as testing, concurrency, microservices, coroutines, and Kotlin DSL builders. Furthermore, you'll be introduced to the kotlinx.serialization framework, which is used to persist objects in JSON, Protobuf, and other formats. By the end of this book, you'll be well versed with all the new features in Kotlin and will be able to build robust applications skillfully. What you will learn * Explore the latest Kotlin features in order to write structured and readable object-oriented code * Get to grips with using lambdas and higher-order functions * Write unit tests and integrate Kotlin with Java code * Create real-world apps in Kotlin in the microservices style * Use Kotlin extensions with the Java collections library * Uncover destructuring expressions and find out how to write your own * Understand how Java-nullable code can be integrated with Kotlin features Who this book is for If you’re a beginner or intermediate programmer who wants to learn Kotlin to build applications, this book is for you. You’ll also find this book useful if you’re a Java developer interested in switching to Kotlin.

Take your SAP ABAP skills to the next level by mastering ABAP programming techniques with the help of real-world examples Key Features * Become adept at building interfaces and explore ABAP tools and techniques * Discover the modern functionalities available in the latest version of ABAP * Learn the process of creating stunning HTML5 applications using SAPUI5 Book Description Advanced Business Application Programming (ABAP) is an established and complex programming language in the IT industry. This book is designed to help you use the latest ABAP techniques and apply legacy constructions using practical examples. You'll start with a quick refresher on language and database concepts, followed by agile techniques for adding custom code to a modern ABAP system. After this, you will get up to speed with the complete ABAP toolset for importing data to and from different environments. Next, you'll learn how to print forms and work with the different ABAP tools for Extensible Markup Language (XML) manipulation. While covering further chapters, you'll gain insights into building stunning UI5 interfaces, in addition to learning how to develop simple apps using the Business Object Processing Framework (BOPF). You will also pick up the technique of handling exceptions and performing testing in ABAP. In the concluding chapters, you can look forward to grasping various techniques for optimizing the performance of programs using a variety of performance analysis tools. By the end of this book, you will have the expertise you need to confidently build maintainable programs in Systems, Applications, and Products (SAP). What you will learn * Create stable and error-free ABAP programs * Leverage new ABAP concepts including object-oriented programming(OOP) and Model-View-Controller (MVC) * Learn to add custom code to your existing SAP program * Speed up your ABAP programs by spotting bottlenecks * Understand techniques such as performance tuning and optimization * Develop modern and beautiful user interfaces (UIs) in an ABAP environment * Build multiple classes with any nesting level Who this book is for This book is for developers who want to learn and use ABAP skills to become an industry expert. Familiarity with object-oriented programming concepts is expected.

前《星期日泰晤士报》专栏作家多利 · 奥尔德顿处女作，这本回忆录讲述了成长、变老过程中渐渐学会如何处理工作、爱情、友谊、得失。作者真诚、幽默、充满智慧，她细腻和极具洞察力的描述会引起各个年龄段女性的共鸣，仿佛在看真实版的《BJ单身日记》 "There is no writer quite like Dolly Alderton working today and very soon the world will know it.”--Lisa Taddeo, author of #1 New York Times bestseller Three Women“Dolly Alderton has always been a sparkling Roman candle of talent. She is funny, smart, and explosively engaged in the wonders and weirdness of the world. But what makes this memoir more than mere entertainment is the mature and sophisticated evolution that Alderton describes in these pages. It’s a beautifully told journey and a thoughtful, important book. I loved it.”--Elizabeth Gilbert, New York Times bestselling author of Eat, Pray, Love and City of GirlsThe wildly funny, occasionally heartbreaking internationally bestselling memoir about growing up, growing older, and learning to navigate friendships, jobs, loss, and love along the rideWhen it comes to the trials and triumphs of becoming an adult, journalist and former Sunday Times columnist Dolly Alderton has seen and tried it all. In her memoir, she vividly recounts falling in love, finding a job, getting drunk, getting dumped, realizing that Ivan from the corner shop might just be the only reliable man in her life, and that absolutely no one can ever compare to her best girlfriends. Everything I Know About Love is about bad dates, good friends and—above all else— realizing that you are enough. Glittering with wit and insight, heart and humor, Dolly Alderton’s unforgettable debut weaves together personal stories, satirical observations, a series of lists, recipes, and other vignettes that will strike a chord of recognition with women of every age—making you want to pick up the phone and tell your best friends all about it. Like Bridget Jones’ Diary but all true, Everything I Know About Love is about the struggles of early adulthood in all its terrifying and hopeful uncertainty.

Twenty-five beautifully written stories, penned in exile, evocatively depicting life on a manor in feudal Russia and examining the conflicts between serfs and landlordsA Sportsman’s Notebook, Ivan Turgenev’s first literary masterpiece, is a sweeping portrayal of the magnificent nineteenth–century Russian countryside and the harsh lives of those who inhabited it. In a powerful and gripping series of sketches, a hunter wanders through the vast landscape of steppe and forest in search of game, encountering a varied cast of peasants, landlords, bailiffs, overseers, horse traders, and merchants. He witnesses both feudal tyranny and the submission of the tyrannized, against a backdrop of the sublime and pitiless terrain of rural Russia.These exquisitely rendered stories, now with a stirring introduction from Daniyal Mueenuddin, were not only universally popular with the reading public but, through the influence they exerted on important members of the Tsarist bureaucracy, contributed to the major political event of mid–nineteenth–century Russia: the Great Emancipation of the serfs in 1861. Rarely has a book that offers such undiluted literary pleasure also been so strong a force for significant social change, one that continues to speak to readers centuries later.

An engrossing debut novel that cannily reimagines the extraordinary life and mysterious death of bohemian Georgetown socialite Mary Pinchot Meyer— secret lover of JFK, ex-wife of a CIA chief, sexual adventurer, LSD explorer and early feminist living by her own rules.She was a longtime lover of JFK.She was the ex-wife of a CIA chief. She was the sister-in-law of the Washington Post’s Ben Bradlee.She believed in mind expansion and took LSD with Timothy Leary. She was a painter, a socialite and a Bohemian in Georgetown during the Cold War.And she ended up dead in an unsolved murder a year after JFK’s assassination.The diary she kept was never found.Until now. . . .

When Amelia Allenby escaped a stifling London ballroom for the quiet solitude of the Derbyshire countryside, the very last thing she wanted was an extremely large, if—she grudgingly admits—passably attractive man disturbing her daily walks. Lecturing the surveyor about property rights doesn’t work and, somehow, he has soon charmed his way into lemon cakes, long walks, and dangerously heady kisses.The very last place Sydney wished to be was in the shadow of the ruins of Pelham Hall, the inherited property that stole everything from him. But as he awaits his old friend, the Duke of Hereford, he finds himself increasingly captivated by the maddeningly lovely and exceptionally odd Amelia. He quickly finds that keeping his ownership of Pelham Hall a secret is as impossible as keeping himself from falling in love with her.But when the Duke of Hereford arrives, Sydney’s ruse is revealed and what started out as a delicate deception has become a love too powerful to ignore. Will they let a lifetime of hurt come between them or can these two lost souls find love and peace in each other?

The intriguing futuristic dystopian story begun with The Lost Puzzler continues in this expansive speculative science fiction adventure.There is nothing out of the ordinary in waking up . . . unless you’re dead.Sent on a dangerous mission with little hope of succeeding, the man known as “Twinkle Eyes” has beaten the odds and found the key that could save civilization: Rafik, a teenage boy with the power to unlock the invaluable Tarakan technology that can restart their world. But the world might not be ready for what is unleashed, and now Twinkle Eyes must find a needle in a haystack in order to save himself . . . and perhaps the world.This time, though, he will not go it alone. And while his companions—from the fiery Vincha to the laconic Galinak—have their own motivations, each will be vital in solving the last grand puzzle. One that could bring prosperity and progress to the world or destroy humanity’s last hope for ascension.Now, a lone assassin from another era, two old friends, a dead man, a ruthless rogue mercenary, and a vicious warlord are all hunting for the ultimate prize. But what will happen when the final secret is unlocked, and technology long since buried once again finds its way into the hands of mankind?

If you love Susan Mallery and Jill Shalvis, you won’t want to miss this new novel of second chances, dogs, and knitting, from the author of Pupcakes and Sit! Stay! Speak! Laid off, cheated on, mugged: what else can go wrong in Maeve Stephens’ life? So when she learns her birth mother has left her a house, a vintage VW Beetle, and a marauding cat, in the small town of Timber Creek, Washington, she packs up to discover the truth about her past. She arrives to the sight of a cheerful bulldog abandoned on her front porch, a reclusive but tempting author living next door, and a set of ready-made friends at the St. Francis Society for Wayward Pets, where women knit colorful sweaters for the dogs and cats in their care. But there’s also an undercurrent of something that doesn’t sit right with Maeve. What’s the secret (besides her!) that her mother had hidden?If Maeve is going to make Timber Creek her home, she must figure out where she fits in and unravel the truth about her past. But is she ready to be adopted again—this time, by an entire town…?

Foreword by David Perlmutter, MD, author of Grain BrainThe cult-classic health book, now revised and updated with a quick start cleanse, easy recipes, and more.It’s not news that Americans are sicker than ever. Seventy million of us suffer from digestive problems like acid reflux, irritable bowel syndrome (IBS), or gastro esophageal reflex disorder (GERD). Another forty million have been diagnosed with anxiety and/or depression and a staggering fifty million Americans live with an autoimmune disease. But what is newsworthy is that all of these conditions share a common thread you’ve probably never heard of: candida."Candida" is the term for a group of yeast organisms that have lived in our digestive tract for millennia, in harmony with the other thousands of bacteria, viruses, and archaea that make up our microbiome. But due to poor diets, processed foods, overuse of antibiotics, environmental toxins, and increased stress, our microbiome has been under steady and constant attack for decades. Yeast are of a heartier stock than bacterial microbes, and as bacteria die off, yeast begins to overgrow in the digestive tract, a condition known as candidiasis. Mild and moderate cases of candidiasis present with fatigue, IBS, eczema, depression, brain fog, migraines, and weight gain. Severe cases allow the afflicted to develop autoimmune disease (such as Multiple Sclerosis), cancer, and Alzheimer’s.Ann Boroch’s self-published book, The Candida Cure, has been the #1 resource in candida treatment since 2008. Her program—which she used to heal herself from a life-threatening autoimmune disorder—has stood the test of time, and has become a life-changing resource for more than 65,000 people. Now, in this revised edition,  readers have even more tools, with updated information and case histories, a quick start cleanse, and all-new recipes and eating plans.

One of the most lauded historians of our time returns to the Second World War in this magnificent retelling of the awe-inspiring raid on German dams conducted by the Royal Army Force’s 617 Squadron.The attack on Nazi Germany’s dams on May 17, 1943, was one of the most remarkable feats in military history. The absurdly young men of the Royal Air Force’s 617 Squadron set forth in cold blood and darkness, without benefit of electronic aids, to fly lumbering heavy bombers straight and level towards a target at a height above the water less than the length of a bowling alley. Yet this story—and the later wartime experience of the 617 Squadron—has never been told in full. Max Hastings takes us back to the May 1943 raid to reveal how the truth of that night is considerably different from the popularized account most people know. The RAF had identified the Ruhr dams as strategic objectives as far back as 1938; in those five years Wing Commander Guy Gibson formed and trained the 617 Squadron. Hastings observes that while the dropping of Wallis’s mines provided the dramatic climax, only two of the eight aircraft lost came down over the dams—the rest were shot down on the flight to, or back from, the mission. And while the 617 Squadron’s valor is indisputable, the ultimate industrial damage caused by the dam raid was actually rather modest. In 1943, these brave men caught the imagination of the world and uplifted the weary spirits of the British people. Their achievement unnerved the Nazi high command, and caused them to expend large resources on dam defenses—making the mission a success. An example of Churchill’s “military theatre” at its best, what 617 Squadron did was an extraordinary and heroic achievement, and a triumph of British ingenuity and technology—a story to be told for generations to come.Operation Chastise includes three 8-page black-and-white photo inserts and 6 maps.

The next installment in the New York Times bestselling series! From YouTube gamer StacyPlays comes the exhilarating sequel to her Minecraft-inspired adventure novel about a girl raised by wolves. Stacy would do anything to protect the Taiga where she lives with the pack of intelligent wolves who raised her. But when humans start to encroach on their forest, their only choice is escape to a place no Arctic wolf has gone before: the desert. The Mesa, with its canyons, snakes, and coyotes, will be like nothing the pack has ever seen. Even in this unfamiliar territory, Stacy is determined to rescue animals in need. But as she and her wolves face new dangers and old secrets, Stacy can’t help but wonder—where does she truly belong? Fans of DanTDM: Trayasaurus and the Enchanted Crystal and PopularMMOs Presents: A Hole New World will love this illustrated, action-packed series!

“There is magic, there is good and evil, and there is love all woven into a suspenseful and entertaining mystery.”—School Library Journal (starred review)New York Times bestselling author Gregory Funaro brings us the second installment of the thrilling Watch Hollow series, where magic exists, monsters roam, and wooden animals come to life. Having defeated the Garr, a vicious tree monster who lived within the enchanted woods of Watch Hollow, Lucy and Oliver Tinker now have the home they’ve always dreamed of: Blackford House. Powered by a magical clock and full of curious rooms and improbable knickknacks, Blackford House brims with the promise of new adventures.Yet when a strange governess arrives from England—bringing with her the Kojima twins, Agatha and Algernon—the Tinker children’s once bright future quickly begins to dim. The Kojimas claim to be the rightful heirs to Blackford House, and soon after their arrival, a great evil enters the Tinkers’ new home, cursing it and turning it into an ever-changing labyrinth.As a result, Lucy and Oliver, along with their clock animal friends, must now join forces with the twins to escape this labyrinth and save Blackford House, all while a new monster lurks around the corner.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key Features *Implement machine learning algorithms to build, train, and validate algorithmic models *Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions *Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learn *Implement machine learning techniques to solve investment and trading problems *Leverage market, fundamental, and alternative data to research alpha factors *Design and fine-tune supervised, unsupervised, and reinforcement learning models *Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn *Integrate machine learning models into a live trading strategy on Quantopian *Evaluate strategies using reliable backtesting methodologies for time series *Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow *Work with reinforcement learning for trading strategies in the OpenAI Gym Who this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features * A go-to guide to help you master AI algorithms and concepts * 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance * Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn * Build an intelligent machine translation system using seq-2-seq neural translation machines * Create AI applications using GAN and deploy smart mobile apps using TensorFlow * Translate videos into text using CNN and RNN * Implement smart AI Chatbots, and integrate and extend them in several domains * Create smart reinforcement, learning-based applications using Q-Learning * Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Power up your network applications with Python programming Key Features * Master Python skills to develop powerful network applications * Grasp the fundamentals and functionalities of SDN * Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: * Practical Network Automation by Abhishek Ratan * Mastering Python Networking by Eric Chou * Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn * Create socket-based networks with asynchronous models * Develop client apps for web APIs, including S3 Amazon and Twitter * Talk to email and remote network servers with different protocols * Integrate Python with Cisco, Juniper, and Arista eAPI for automation * Use Telnet and SSH connections for remote system monitoring * Interact with websites via XML-RPC, SOAP, and REST APIs * Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX * Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features * Unique problem-solution approach to aid effective business decision-making * Create interactive dashboards and implement powerful business intelligence solutions * Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn * Understand the basic and advanced skills of Tableau Desktop * Implement best practices of visualization, dashboard, and storytelling * Learn advanced analytics with the use of build in statistics * Deploy the multi-node server on Linux and Windows * Use Tableau with big data sources such as Hadoop, Athena, and Spectrum * Cover Tableau built-in functions for forecasting using R packages * Combine, shape, and clean data for analysis using Tableau Prep * Extend Tableau’s functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.

Enhance your programming skills by learning the intricacies of object oriented programming in C# 8 Key Features * Understand the four pillars of OOP; encapsulation, inheritance, abstraction and polymorphism * Leverage the latest features of C# 8 including nullable reference types and Async Streams * Explore various design patterns, principles, and best practices in OOP Book Description Object-oriented programming (OOP) is a programming paradigm organized around objects rather than actions, and data rather than logic. With the latest release of C#, you can look forward to new additions that improve object-oriented programming. This book will get you up to speed with OOP in C# in an engaging and interactive way. The book starts off by introducing you to C# language essentials and explaining OOP concepts through simple programs. You will then go on to learn how to use classes, interfacesm and properties to write pure OOP code in your applications. You will broaden your understanding of OOP further as you delve into some of the advanced features of the language, such as using events, delegates, and generics. Next, you will learn the secrets of writing good code by following design patterns and design principles. You'll also understand problem statements with their solutions and learn how to work with databases with the help of ADO.NET. Further on, you'll discover a chapter dedicated to the Git version control system. As you approach the conclusion, you'll be able to work through OOP-specific interview questions and understand how to tackle them. By the end of this book, you will have a good understanding of OOP with C# and be able to take your skills to the next level. What you will learn * Master OOP paradigm fundamentals * Explore various types of exceptions * Utilize C# language constructs efficiently * Solve complex design problems by understanding OOP * Understand how to work with databases using ADO.NET * Understand the power of generics in C# * Get insights into the popular version control system, Git * Learn how to model and design your software Who this book is for This book is designed for people who are new to object-oriented programming. Basic C# skills are assumed, however, prior knowledge of OOP in any other language is not required.