The character of the story of this book is also named Sumit, whose eyes opened in a deserted desert, he did not know how he got there? He had forgotten everything, even his own name. Sumit is able to complete his journey with great difficulty understanding those desert mysteries but the end of his journey is very surprising. Mukti, a girl he meets in that desert, leads him to the holy wall that Sumit later calls the ""wall of death"". In this journey, he gets knowledge of those secrets of the universe which an ordinary human can never get.
This book is a reflection on deeper meaning, aesthetic values and a philosophical discourse on Vincent Van Gogh's ideas and works. A brief description of the hard and relentless artistic journey to develop a new painting media "Passion of Vincent". An effort to carry the pure aesthetic spirit of Vincent van Gogh and to share some of the paintings done in the new media.
ABOUT THE BOOKDreamers of the Night is a collection of poetry and prose which explores the warmth, wisdom and love of old forgotten dreams. Dreams that are forgotten during the day, but remembered in the silent corners of the night.The great thing about this book is that you can come back to it again and again and still rediscover pieces of poetry and prose that will resonate with you at different points in your life The book is divided into 4 parts: 1) Childhood Dreams2) Youthful Doubts3) Summer Love 4) Wisdom of the Old All these chapters explore dreams, stories and illustrations that capture our imagination as we traverse through these quintessential moments in our lives. And because we share a somewhat similar human experience at the most fundamental level, you'll find in my dreams, an honest reflection of your own ABOUT THE AUTHORSumit Pratap Singh is an award winning filmmaker, writer and actor whose work has screened at festivals, all around the world. Sumit started writing poetry and fiction at the tender age of seven and soon after fell in love with the art of storytelling. His passion for telling stories led him to study film at the prestigious Chapman University in California, where he honed his abilities as a storyteller. Sumit is extremely passionate about sharing his viewpoint of the world through his art, which often takes the form of poetry, illustrations, photography and film. Through the canvas of his mind, Sumit hopes to explore and present his interpretation of the human condition. 'Dreamers of the Night' is an attempt to bring forward one such exploration, where Sumit explores the limitless potential of our quiet hopeful dreams.
Written in an engaging, easy-to-follow style, this practical guide will teach you to create test suites and automated acceptance Tests with the Robot Framework. If you are an automation engineer, QA engineer, developer or tester who is looking to get started with Robot Framework, as well as find a standardized testing solution, this book is ideal for you. No prior knowledge of Robot Framework or acceptance testing is required, although a basic knowledge of Python is required for few sections of the book.
About This BookDevelop a set of common applications and solutions with Neo4j and PythonSecure and deploy the Neo4j database in productionA step-by-step guide on implementing and deploying interactive Python-based web applications on graph data modelWho This Book Is ForIf you are a Python developer and want to expand your understanding of Python-based web applications over Neo4j graph data models, this is the book for you.What You Will LearnUnderstand the licensing and installation of the Neo4j database and work with its various tools and utilitiesLearn the intricacies of Cypher as a graph query languageWork with Cypher to create and modify graph data modelsIntegrate Python and Neo4j using Py2neoDevelop REST-based services over social network data using Flask and object graph models over Neo4jIntegrate Django-based web applications over graph data models using NeomodelExplore different deployment models and their applicability with existing applicationsIn DetailPy2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. This brings with it a heavily refactored core, a cleaner API, better performance, and some new idioms.You will begin with licensing and installing Neo4j, learning the fundamentals of Cypher as a graph query language, and exploring Cypher optimizations. You will discover how to integrate with various Python frameworks such as Flask and its extensions: Py2neo, Neomodel, and Django. Finally, the deployment aspects of your Python-based Neo4j applications in a production environment is also covered. By sequentially working through the steps in each chapter, you will quickly learn and master the various implementation details and integrations of Python and Neo4j, helping you to develop your use cases more quickly.
Design, process, and analyze large sets of complex data in real time About This Book • Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm • Implement strategies to solve the challenges of real-time data processing • Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data architect, developer, or a programmer who wants to develop applications/frameworks to implement real-time analytics using open source technologies, then this book is for you. What You Will Learn • Explore big data technologies and frameworks • Work through practical challenges and use cases of real-time analytics versus batch analytics • Develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm • Handle and process real-time transactional data • Optimize and tune Apache Storm for varied workloads and production deployments • Process and stream data with Amazon Kinesis and Elastic MapReduce • Perform interactive and exploratory data analytics using Spark SQL • Develop common enterprise architectures/applications for real-time and batch analytics In Detail Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time. Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases. From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm. Moving on, we'll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program. You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark. At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data. Style and approach This step-by-step is an easy-to-follow, detailed tutorial, filled with practical examples of basic and advanced features. Each topic is explained sequentially and supported by real-world examples and executable code snippets.
In the bestselling tradition of Steven Pinker's Enlightenment Now and Yuval Noah Harari's Homo Deus comes an engaging and interdisciplinary look at the history, philosophy, and psychology of optimism and why being optimistic is a moral obligation--even in the face of seemingly insurmountable challenges.Scrolling through our daily newsfeeds, we see war, political unrest, the swift rise of artificial intelligence, and a looming climate crisis--just a few of the tragedies fostering pessimism. So, in the face of such glum events, how do we stay optimistic? And, more important, why should we?In The Bright Side, the author tackles these pressing questions, arguing that optimism is not only essential for overcoming the obstacles ahead but also fundamental to human resilience and progress. Drawing on a wide array of evidence across diverse fields, he delves into the underappreciated philosophical roots of optimism, examines its impact on mental health and professional success, and discusses how an optimistic outlook supports a scientific and rational world view.Beyond theoretical discussions, The Bright Side shows how we can apply the principles of optimism to address complex challenges, particularly the environmental crisis. Through visits to innovative projects like the futuristic LINE city in Saudi Arabia, the Faslane Peace Camp in Scotland, initiatives related to the New Green Deal, and anecdotes covering everything from Ernest Shackleton to Bitcoin mania, the book illustrates optimism in action.A salve for dark times, The Bright Side is a lens through which we can identify and solve the problems we face and create a better future for ourselves and generations to come.
Learn how to bring your data to life with this hands-on guide to visual analytics with TableauKey FeaturesMaster the fundamentals of Tableau Desktop and Tableau PrepLearn how to explore, analyze, and present data to provide business insightsBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience.As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users.All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays.By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions.What you will learnBecome an effective user of Tableau Prep and Tableau DesktopLoad, combine, and process data for analysis and visualizationUnderstand different types of charts and when to use themPerform calculations to engineer new data and unlock hidden insightsAdd interactivity to your visualizations to make them more engagingCreate holistic dashboards that are detailed and user-friendlyWho this book is forThis book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.
Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCVKey FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook DescriptionThanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries.What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is forIf you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.
A GUARDIAN 'BOOK TO READ IN 2025' 'A truly inspirational and beautiful book with a powerful and timely message for today's society' - JIM AL-KHALILIOptimism, irrational though it might be, is central to the human psyche: it seems to give us an advantage both in everyday life and in the evolutionary race.What does Ernest Shackleton's Antarctic expedition have in common with the chicken that crossed the road? Or James Baldwin's campaign for civil rights with the development of AI? Or even Crossrail and George Bush's 'mission accomplished'?The Bright Side makes a vital and transformative new argument: that optimism is not only the natural state of humanity, but an essential one. Without optimism we would never have survived the unpredictable - and often hostile - world we evolved into. Yet optimism is not reserved for times of extremity. Its benefits manifest throughout our everyday lives: our relationships, careers, bodies and minds. And it will play a critical role in overcoming the challenges of the twenty-first century.In this book, astrophysicist-turned-journalist Sumit-Paul Choudhury offers practical suggestions on what it really takes to be an optimist today and, in doing so, provides a powerful manifesto for hope and a much-needed new perspective on our prospects. He shows how, by embracing action, imagination and possibility, we can find a path to the bright side, even - perhaps especially - when the future seems dark.Both realistic and revolutionary, The Bright Side is a guidebook for troubled times that will make you re-evaluate your habits and outlook.
This coloring book takes colorists on a tour to China Dragons, castles, instruments, and other traditional Chinese objects are showcased in this carefully designed coloring book. Each of the 21 intricate designs has cultural significance. Designs are one sided to prevent bleed through.
This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.
This book presents some of the recent hybrid micro-machining processes used to manufacture miniaturized products with micro level precision. The current developed technologies to manufacture the micro dimensioned products while meeting the desired precision level are described within the text. The authors especially highlight research that focuses on the development of new micro machining platforms while integrating the different technologies to manufacture the micro components in a high throughput and cost effective manner.
