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Incident on Simpac III: A Scientific Novel (Science and Fiction)
by Doug BruggeA few hundred years into the future, a wave of space colonization follows a disastrous earlier attempt to inhabit nearby extrasolar planets. It is guided by a new computational method based on massive data-driven socio-cultural and socio-epidemiological modeling and using novel biological computers, fed with data on Earth’s history of successes and failures. Yet, in the newly settled Simpac system, some unexpected and worrying anomalies begin cropping up, making an urgent expedition to the system necessary: is it the underlying data, the computations, or is some unknown entity tampering with the space colonization program? A race against time ensues as the lives of four strangers begin to converge. While grounded in the social systems aspect, the author posits that the future is likely to be characterized by more biology-based tools than most contemporary science fiction – which most often relies entirely on non-biological hardware in terms of advanced technologies – predicts. The result is an entertaining and skillful blend of thriller and SF, complemented by a nontechnical appendix describing the underlying science.
Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference (Advances in Intelligent Systems and Computing #801)
by Sara Rodríguez Javier Prieto Pedro Faria Sławomir Kłos Alberto Fernández Santiago Mazuelas M. Dolores Jiménez-López María N. Moreno Elena M. NavarroThis book presents the outcomes of the 15th International Conference on Distributed Computing and Artificial Intelligence, held in Toledo (Spain) from 20th to 22nd June 2018 and hosted by the UCLM, and which brought together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies. Highlighting multi-disciplinary and transversal aspects, the book focuses on the conferences Special Sessions, including Advances in Demand Response and Renewable Energy Sources in Smart Grids (ADRESS); AI- Driven Methods for Multimodal Networks and Processes Modeling (AIMPM); Social Modelling of Ambient Intelligence in Large Facilities (SMAILF); Communications, Electronics and Signal Processing (CESP); Complexity in Natural and Formal Languages (CNFL); and Web and Social Media Mining (WASMM).
Digitalisierung im Controlling (essentials)
by Christian LangmannDas vorliegende essential gibt einen Überblick über die Auswirkungen der Digitalisierung auf das Controlling. Neben der Frage, wie sich neue Technologien der Digitalisierung auf das Rollenmodell im Controlling auswirken, geht Christian Langmann auch auf die Folgen für die Aufbau-Organisation des Controllings ein. Aktuelle Entwicklungen wie die Rolle des Data Scientist oder Data Labs als neue Organisationeinheit neben dem Controlling werden aufgegriffen. Zentrale Prozesse des Controllings – Planung/Forecast und Reporting – werden im Hinblick auf die Digitalisierung beleuchtet und es wird analysiert, wie die Digitalisierung dort gewinnbringend eingesetzt werden kann. An verschiedenen Beispielen zeigt das essential praxisnah, wie Big-Data, Predictive-Analytics oder Robotic-Process-Automation sinnvoll in der Planung oder dem Reporting eingesetzt werden können.
Deeper Learning Through Technology: Using the Cloud to Individualize Instruction
by Mr Kenneth P. HallaUse the Cloud to Individualize Your Instruction and Watch Your Students Thrive! Cloud-based technology offers massive benefits to the classroom. But technology tools require conscientious implementation by educators. This book is the all-in-one resource you need to be sure your students reap the fullest rewards of how cloud-based tools can facilitate learning. In Deeper Learning Through Technology, teacher and top ed-blogger Ken Halla explains: How to implement new tech tools to create a self-paced, learner-centered classroom Strategies for leveraging cloud technology to ensure that students have access to an individualized, personalized education Real-life case studies and activities that will make applying the book’s strategies to your classroom enjoyable and achievable
Deeper Learning Through Technology: Using the Cloud to Individualize Instruction
by Mr Kenneth P. HallaUse the Cloud to Individualize Your Instruction and Watch Your Students Thrive! Cloud-based technology offers massive benefits to the classroom. But technology tools require conscientious implementation by educators. This book is the all-in-one resource you need to be sure your students reap the fullest rewards of how cloud-based tools can facilitate learning. In Deeper Learning Through Technology, teacher and top ed-blogger Ken Halla explains: How to implement new tech tools to create a self-paced, learner-centered classroom Strategies for leveraging cloud technology to ensure that students have access to an individualized, personalized education Real-life case studies and activities that will make applying the book’s strategies to your classroom enjoyable and achievable
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
by Sayon DuttaLeverage the power of the Reinforcement Learning techniques to develop self-learning systems using TensorflowKey Features Learn reinforcement learning concepts and their implementation using TensorFlow Discover different problem-solving methods for Reinforcement Learning Apply reinforcement learning for autonomous driving cars, robobrokers, and moreBook DescriptionReinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games, self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions.The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it’s gaining so much popularity. The book also discusses on MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP.By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.What you will learn Implement state-of-the-art Reinforcement Learning algorithms from the basics Discover various techniques of Reinforcement Learning such as MDP, Q Learning and more Learn the applications of Reinforcement Learning in advertisement, image processing, and NLP Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym Understand how Reinforcement Learning Applications are used in roboticsWho this book is forIf you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience with Reinforcement Learning is required.
Introduction to MongoDB, Express, Angular and Node.js
by Paul OluyegeThis book is ideal for beginners and intermediate front-end developers who want to become a full-stack JavaScript developers and are looking forward to quickly work through an intelligent example that demonstrates all the key features of full-stack development using MEAN technologies. You'll need some prior exposure to MongoDB as we skim over its basics and get straight to work.
The Influencer Economy: How to Launch Your Idea, Share It with the World, and Thrive in the Digital Age
by Ryan Williams<p>Reinvent yourself and grow radical influence. <p>What if you got heard, and became visible in a seemingly noisy online world from day #1 of your new idea? Imagine yourself having a worldwide influence in your industry, profession, or life. What if you could grow universal influence and drive winning collaborations? <p>Ryan Williams is a former standup comedian, author, and podcast host, who for the last three years, on Stories From The Influencer Economy podcast, he interviewed over 100 influencers who have built ideas online such as: Seth Godin, Brad Feld, Derek Sivers, Troy Carter, Jemele Hill, Kevin Kelly and many others. In "The Influencer Economy" he explains how influence is a learned and acquired skill and how your influence can be honed and crafted over time. Williams answers the question: what are the secrets to grow your influence?</p>
Merch Domination: The Ultimate Guide to Merch by Amazon
by Neil LMerch by Amazon has been the premier place for print on demand t-shirt designs since late 2015. This platform is easy to learn but hard to master. When you get the hang out if, Merch by Amazon can easily replace your full time income and could potentially lead to a nice six figure a year side income if you practice the lessons laid out in this Amazon Merch book. Learn from those who have done it before and continue to be some of the top power sellers on Merch. If you are interested in setting up a profitable Merch by Amazon t-shirt business, then you need to read the entire Merch Domination book. Within the hundreds of pages you will learn how to sell your custom artwork and novelty designs on Amazon with print on demand t-shirts. Take advantage of the biggest ecommerce retailer the world has ever known
Property-Based Testing with PropEr, Erlang, and Elixir: Find Bugs Before Your Users Do
by Fred HebertProperty-based testing helps you create better, more solid tests with little code. By using the PropEr framework in both Erlang and Elixir, this book teaches you how to automatically generate test cases, test stateful programs, and change how you design your software for more principled and reliable approaches. You will be able to better explore the problem space, validate the assumptions you make when coming up with program behavior, and expose unexpected weaknesses in your design. PropEr will even show you how to reproduce the bugs it found. With this book, you will be writing efficient property-based tests in no time. Most tests only demonstrate that the code behaves how the developer expected it to behave, and therefore carry the same blind spots as their authors when special conditions or edge cases show up. Learn how to see things differently with property tests written in PropEr. Start with the basics of property tests, such as writing stateless properties, and using the default generators to generate test cases automatically. More importantly, learn how to think in properties. Improve your properties, write custom data generators, and discover what your code can or cannot do. Learn when to use property tests and when to stick with example tests with real-world sample projects. Explore various testing approaches to find the one that's best for your code. Shrink failing test cases to their simpler expression to highlight exactly what breaks in your code, and generate highly relevant data through targeted properties. Uncover the trickiest bugs you can think of with nearly no code at all with two special types of properties based on state transitions and finite state machines. Write Erlang and Elixir properties that generate the most effective tests you'll see, whether they are unit tests or complex integration and system tests. What You Need Basic knowledge of Erlang, optionally ElixirFor Erlang tests: Erlang/OTP >= 20.0, with Rebar >= 3.4.0For Elixir tests: Erlang/OTP >= 20.0, Elixir >= 1.5.0
Content Marketing für Regionalbanken: So können Genossenschaftsbanken und Sparkassen Kunden gewinnen, binden und begeistern
by Stephan ReichhardDieses Buch beschreibt die Möglichkeiten und Grenzen beim Einsatz von Content Marketing in Sparkassen, Volks- und Raiffeisenbanken und zeigt, wie regionale, mittelständisch geprägte Kreditinstitute von dieser Marketingtechnik profitieren können. Denn: Content Marketing stellt die Grundsätze des traditionellen Marketings auf den Kopf und gewinnt in der Kommunikationspraxis kleinerer wie größerer Unternehmen immer mehr an Bedeutung. Die Grundsätze: hilfreiche Inhalte statt Produktwerbung, Beziehungsaufbau statt Unterbrechung, Kommunikation auf Augenhöhe statt einseitiges Aussenden von Marketingbotschaften. Im Zentrum des Buches steht die Frage, wie ein Content-Marketing-Prozess konkret in einer Regionalbank implementiert werden kann. Mit vielen Interviews und praxisbezogenen Fallbeispielen.
Blogging: La mejor pequeña guía para administrar un blog redituable
by Isaac KronenbergSeguro que ya has escuchado esto antes, sólo escoge el nicho apropiado, escribe buenos artículos, esparce vínculos de afiliación por todos lados, y obtendrás ganancias. Bueno, ¡tengo noticias para ti! ¡Eso NO es lo que hacen los blogueros que obtienen grandes ganancias! Aunque hay algo de cierto en el hecho de que parte de la ecuación es generar vínculos de afiliación para tu blog, sólo esparcirlos al azar y esperar que alguien de un cliqueo no es una buena estrategia en absoluto. Entonces, este libro se concentra en revelarte exactamente lo que los blogueros que obtienen grandes ganancias realmente hacen (que es lo que hago exactamente yo). No cometas errores, la mayoría que comienza un blog no tiene ni idea de cómo monetizarlo, y fallan en lograr que el blog sea redituable; esa es la realidad, tu competición es muy baja si haces las cosas bien, si haces lo que te indico en este libro. De hecho, no tendrás que leer otro libro sobre blogging nuevamente porque sabrás exactamente lo que tienes que hacer para monetizar tu blog. Confía en mí, este libro será el mejor libro sobre blogging que jamás hayas leído, y te mostrará un mapa muy real y directo para asegurarte que obtengas ganancias desde tu blog. La única manera de fracasar es no implementar el método que te enseñaré, así que asegúrate no sólo de leer este libro en forma pasiva sino realmente aplicando lo que te vaya indicando, ya que estoy absolutamente seguro de que logrará llevar tu blog a otro nivel.
Algorithms and Complexity in Mathematics, Epistemology, and Science: Proceedings of 2015 and 2016 ACMES Conferences (Fields Institute Communications #82)
by Nicolas Fillion Robert M. Corless Ilias S. KotsireasACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science. This volume includes a selection of papers presented at the 2015 and 2016 conferences held at Western University that provide an interdisciplinary outlook on modern applied mathematics that draws from theory and practice, and situates it in proper context. These papers come from leading mathematicians, computational scientists, and philosophers of science, and cover a broad collection of mathematical and philosophical topics, including numerical analysis and its underlying philosophy, computer algebra, reliability and uncertainty quantification, computation and complexity theory, combinatorics, error analysis, perturbation theory, experimental mathematics, scientific epistemology, and foundations of mathematics. By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques.
Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
by Puneet MathurGain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will LearnDiscover applied machine learning processes and principlesImplement machine learning in areas of healthcare, finance, and retailAvoid the pitfalls of implementing applied machine learningBuild Python machine learning examples in the three subject areasWho This Book Is ForData scientists and machine learning professionals.
Information Management and Big Data: 5th International Conference, SIMBig 2018, Lima, Peru, September 3–5, 2018, Proceedings (Communications in Computer and Information Science #898)
by Juan Antonio Lossio-Ventura Denisse Muñante Hugo Alatrista-SalasThis book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.
Simulation and Optimization of Digital Circuits: Considering And Mitigating Destabilizing Factors
by Vazgen MelikyanThis book describes new, fuzzy logic-based mathematical apparatus, which enable readers to work with continuous variables, while implementing whole circuit simulations with speed, similar to gate-level simulators and accuracy, similar to circuit-level simulators. The author demonstrates newly developed principles of digital integrated circuit simulation and optimization that take into consideration various external and internal destabilizing factors, influencing the operation of digital ICs. The discussion includes factors including radiation, ambient temperature, electromagnetic fields, and climatic conditions, as well as non-ideality of interconnects and power rails.
Google Tools Meets Middle School (Corwin Teaching Essentials)
by Jason M. Borgen Michael J. GrahamFilled with actionable instruction ideas, this sparkling new edition includes must-have tools that enable all teachers to become masters of learning for 21st century students.
Google Tools Meets Middle School (Corwin Teaching Essentials)
by Jason M. Borgen Michael J. GrahamFilled with actionable instruction ideas, this sparkling new edition includes must-have tools that enable all teachers to become masters of learning for 21st century students.
Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
by Adrian SalceanuA step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools Key Features Work with powerful open-source libraries for data wrangling, analysis, and visualization Develop full-featured, full-stack web applications Learn to perform supervised and unsupervised machine learning and time series analysis with Julia Book Description Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI. Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting. We'll close with package development, documenting, testing and benchmarking. By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia. What you will learn Leverage Julia's strengths, its top packages, and main IDE options Analyze and manipulate datasets using Julia and DataFrames Write complex code while building real-life Julia applications Develop and run a web app using Julia and the HTTP package Build a recommender system using supervised machine learning Perform exploratory data analysis Apply unsupervised machine learning algorithms Perform time series data analysis, visualization, and forecasting Who this book is for Data scientists, statisticians, business analysts, and developers who are interested in learning how to use Julia to crunch numbers, analyze data and build apps will find this book useful. A basic knowledge of programming is assumed.
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning
by Revathi Gopalakrishnan Avinash VenkateswarluLeverage the power of machine learning on mobiles and build intelligent mobile applications with ease Key Features Build smart mobile applications for Android and iOS devices Use popular machine learning toolkits such as Core ML and TensorFlow Lite Explore cloud services for machine learning that can be used in mobile apps Book Description Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples. You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains. By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices. What you will learn Build intelligent machine learning models that run on Android and iOS Use machine learning toolkits such as Core ML, TensorFlow Lite, and more Learn how to use Google Mobile Vision in your mobile apps Build a spam message detection system using Linear SVM Using Core ML to implement a regression model for iOS devices Build image classification systems using TensorFlow Lite and Core ML Who this book is for If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus
Becoming the Hacker: The Playbook for Getting Inside the Mind of the Attacker
by Adrian PruteanuWeb penetration testing by becoming an ethical hacker. Protect the web by learning the tools, and the tricks of the web application attacker. Key Features Builds on books and courses on penetration testing for beginners Covers both attack and defense perspectives Examines which tool to deploy to suit different applications and situations Book Description Becoming the Hacker will teach you how to approach web penetration testing with an attacker's mindset. While testing web applications for performance is common, the ever-changing threat landscape makes security testing much more difficult for the defender. There are many web application tools that claim to provide a complete survey and defense against potential threats, but they must be analyzed in line with the security needs of each web application or service. We must understand how an attacker approaches a web application and the implications of breaching its defenses. Through the first part of the book, Adrian Pruteanu walks you through commonly encountered vulnerabilities and how to take advantage of them to achieve your goal. The latter part of the book shifts gears and puts the newly learned techniques into practice, going over scenarios where the target may be a popular content management system or a containerized application and its network. Becoming the Hacker is a clear guide to web application security from an attacker's point of view, from which both sides can benefit. What you will learn Study the mindset of an attacker Adopt defensive strategies Classify and plan for standard web application security threats Prepare to combat standard system security problems Defend WordPress and mobile applications Use security tools and plan for defense against remote execution Who this book is for The reader should have basic security experience, for example, through running a network or encountering security issues during application development. Formal education in security is useful, but not required. This title is suitable for people with at least two years of experience in development, network management, or DevOps, or with an established interest in security.
Hands-On Dark Web Analysis: Learn what goes on in the Dark Web, and how to work with it
by Sion RetzkinUnderstanding the concept Dark Web and Dark Net to utilize it for effective cybersecurity Key Features Understand the concept of Dark Net and Deep Web Use Tor to extract data and maintain anonymity Develop a security framework using Deep web evidences Book Description The overall world wide web is divided into three main areas - the Surface Web, the Deep Web, and the Dark Web. The Deep Web and Dark Web are the two areas which are not accessible through standard search engines or browsers. It becomes extremely important for security professionals to have control over these areas to analyze the security of your organization. This book will initially introduce you to the concept of the Deep Web and the Dark Web and their significance in the security sector. Then we will deep dive into installing operating systems and Tor Browser for privacy, security and anonymity while accessing them. During the course of the book, we will also share some best practices which will be useful in using the tools for best effect. By the end of this book, you will have hands-on experience working with the Deep Web and the Dark Web for security analysis What you will learn Access the Deep Web and the Dark Web Learn to search and find information in the Dark Web Protect yourself while browsing the Dark Web Understand what the Deep Web and Dark Web are Learn what information you can gather, and how Who this book is for This book is targeted towards security professionals, security analyst, or any stakeholder interested in learning the concept of deep web and dark net. No prior knowledge on Deep Web and Dark Net is required
Hands-On Enterprise Application Development with Python: Design data-intensive Application with Python 3
by Saurabh BadhwarArchitect scalable, reliable, and maintainable applications for enterprises with Python Key Features Explore various Python design patterns used for enterprise software development Apply best practices for testing and performance optimization to build stable applications Learn about different attacking strategies used on enterprise applications and how to avoid them Book Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you'll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You'll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learn Understand the purpose of design patterns and their impact on application lifecycle Build applications that can handle large amounts of data-intensive operations Uncover advanced concurrency techniques and discover how to handle a large number of requests in production Optimize frontends to improve the client-side experience of your application Effective testing and performance profiling techniques to detect issues in applications early in the development cycle Build applications with a focus on security Implement large applications as microservices to improve scalability Who this book is for If you're a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.
Blockchain Quick Start Guide: A beginner's guide to developing enterprise-grade decentralized applications
by Xun Brian Wu Weimin SunLearn quick and effective techniques to get up and running with building blockchain including Ethereum and Hyperledger Fabric. Key Features Understand the key concepts of decentralized applications and consensus algorithms Learn key concepts of Ethereum and Solidity programming Practical guide to get started with build efficient Blockchain applications with Ethereum and Hyperledger Book Description Blockchain is a technology that powers the development of decentralized applications.This technology allows the construction of a network with no single control that enables participants to make contributions to and receive benefits from the network directly. This book will give you a thorough overview of blockchain and explain how a blockchain works.You will begin by going through various blockchain consensus mechanisms and cryptographic hash functions. You will then learn the fundamentals of programming in Solidity – the defacto language for developing decentralize, applications in Ethereum. After that, you will set up an Ethereum development environment and develop, package, build, and test campaign-decentralized applications.The book also shows you how to set up Hyperledger composer tools, analyze business scenarios, design business models, and write a chain code. Finally, you will get a glimpse of how blockchain is actually used in different real-world domains. By the end of this guide, you will be comfortable working with basic blockchain frameworks, and develop secure, decentralized applications in a hassle-free manner. What you will learn Understand how blockchain hashing works Write and test a smart contract using Solidity Develop and test a decentralized application Build and test your application using Hyperledger Fabric Implement business network using Hyperledger Composer Test and interact with business network applications Who this book is for The book is for developers, analysts, or anyone looking to learn about Blockchain in a quick and easy manner.
Data Analysis with Python: A Modern Approach
by David TaiebLearn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features Bridge your data analysis with the power of programming, complex algorithms, and AI Use Python and its extensive libraries to power your way to new levels of data insight Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series Explore this modern approach across with key industry case studies and hands-on projects Book Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you're likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learn A new toolset that has been carefully crafted to meet for your data analysis challenges Full and detailed case studies of the toolset across several of today's key industry contexts Become super productive with a new toolset across Python and Jupyter Notebook Look into the future of data science and which directions to develop your skills next Who this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.