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| bigtreetech skr 3 ez manual: Java Professional Interview Guide Mandar Maheshwar Jog, 2021-08-24 An Ultimate Solution to Crack Java interview KEY FEATURES ● Start identifying responses for various interviews for Java architecture. ● Solutions to real Java scenarios and applications across the industry. ● Understand the various perspectives of Java concepts from the interviewer's point of view. DESCRIPTION Java Professional Interview Guide aims at helping engineers who want to work in Java. The book covers nearly every aspect of Java, right from the fundamentals of core Java to advanced features such as lambdas and functional programming. Each concept's topics begin with an overview, followed by a discussion of the interview questions. Additionally, the book discusses the frameworks, Hibernate and Spring. The questions included in each topic will undoubtedly help you feel more confident during the technical interview, which will increase your chances of being selected. You will gain an understanding of both the interviewer and the interviewee's psychology. This book will help you build a solid foundation of Java, the Java architecture, and how to answer questions about Java's internal operations. You will begin to experience interview questions that cover all of Java's major concepts, from object orientation to collections. You will be able to investigate how objects are constructed and what the fundamental properties of OOPs are. Additionally, you will learn how to handle exceptions and work with files and collections. We'll cover advanced topics like functional programming and design patterns in the final chapters. The section also covers questions on Java web application development. Finally, you will be able to learn how to answer questions using industry-standard frameworks like Spring and Hibernate. WHAT YOU WILL LEARN ● How to prepare before an actual technical interview? ● You will learn how to understand an interviewer's mindset. ● What kind of questions can be asked and how can they be answered? ● How to deal with cross-examination questions in an interview. ● How can the interviewer reframe the questions and how can you provide solutions? WHO THIS BOOK IS FOR This book is intended for both new and experienced candidates preparing for the Java Developer Interview. Although the book provides an overview of all Java and J2EE concepts, prior knowledge of basic Java is required. TABLE OF CONTENTS 1. The Preparation Beyond Technology 2. Architecture of Java 3. Object Orientation in Java 4. Handling Exception 5. File Handling 6. Concurrency 7. JDBC 8. Collections 9. Miscellaneous 10. Functional Programming 11. Design Patterns 12. Basics of Web 13. Spring and Spring Boot 14. Hibernate |
| bigtreetech skr 3 ez manual: Smart Contract Development with Solidity and Ethereum Mittal Akhil, 2020-05-23 Create, develop and deploy a Smart Contract with ease KEY FEATURESA* Familiarize yourself with Blockchain terminology and its conceptsA* Understand and implement the Cryptography basic principlesA* Understand the life cycle of an Ethereum Transaction A* Explore and work with Dapps on Ethereum.A* A practical guide that will teach you to create and deploy Smart Contracts with Solidity DESCRIPTIONThe book covers the fundamentals of Blockchain in detail and shows how to create a Smart Contract with ease. This book is both for novices and advanced readers who want to revisit the Smart Contract development process. The book starts by introduces Blockchain, its terminology, its workflow, and cryptographic principles. You will get familiar with the basics of Ethereum and some Distributed apps available on Ethereum. Furthermore, you will learn to set-up Ethereum Blockchain on Azure. Then you will learn how to create, develop, and deploy a smart contract on Ethereum. Towards the end, you will understand what Blockchain uses and advantages in the real-world scenario. WHAT WILL YOU LEARN A* Get familiar with the basics of Blockchain and BitcoinA* Setup a development environment for programming Smart ContractsA* Learn how to set up an Ethereum Blockchain on AzureA* Understand the basics of Solidity, an object-oriented programming language for writing smart contractsA* Learn how to test and deploy a smart contract WHO THIS BOOK IS FORThis book is for Developers, Architects, and Software/Technology Enthusiasts who are interested in Blockchain, Ethereum, and Smart Contracts. It is also for Developers who want to build a Blockchain-based DApps on Ethereum Network. It is for everyone who is learning Solidity and is looking to create and integrate Blockchain into their project. TABLE OF CONTENTSSection 1: What is Blockchain and how does it work? 1. Blockchain - The Concept2. Blockchain - Cryptographic PrinciplesSection 2: Ethereum and DAAPS 1. Distributed Applications 2. Setting up Ethereum Blockchain on AzureSection 3: Smart Contracts Development 1. Setting up an Environment for Smart Contracts Development2. Programming Smart ContractsSection 4: Blockchain in Real World 1. Blockchain-Offerings and UsagesAUTHOR BIOAkhil Mittal lives in Noida, India. He is two times Microsoft MVP (Most Valuable Professional) firstly awarded in 2016 continued in 2017 in Visual Studio and Technologies category, C# Corner MVP since 2013, Code Project MVP since 2014, a blogger, author and likes to write/read technical articles, blogs, and books. Akhil actively contributes his technical articles on CodeTeddy (www.codeteddy.com)He works as a Sr. Consultant with Magic EdTech (www.magicedtech.com) which is recognized as a global leader in delivering end to end learning solutions.He has an experience of more than 12 years in developing, designing, architecting enterprises level applications primarily in Microsoft Technologies. He has diverse experience in working on cutting edge technologies that include Microsoft Stack, AI, Machine Learning, Blockchain and Cloud computing. Akhil is an MCP (Microsoft Certified Professional) in Web Applications and Dot Net Framework.Akhil has written few eBooks books on C#, Entity Framework, Web API development and OOP concepts which are published at Amazon Kindle and Leanpub. He has also written a book on Getting started with Chatbots, which is published with BPB publication. Your LinkedIn Profilehttps://www.linkedin.com/in/akhilmittal/ |
| bigtreetech skr 3 ez manual: Decoding JavaScript Rushabh Mulraj Shah, 2021-05-21 Mastering advanced JavaScript to build modern next-generation web applications. Ê KEY FEATURESÊÊ _ A simplified explanation of complex concepts to create powerful and flexible web applications. _ Learn testing JavaScript code, regular expressions, fetching data, and many more with ES6. _ A full-fledged section dedicated to developing an application using JavaScript. DESCRIPTIONÊ Decoding JavaScript will take the users on an eventful journey of simplifying and understanding advanced concepts of JavaScript. Since JavaScript is the core programming language for almost every interaction on the web, this book will make it easier for readers to develop modern cutting-edge web applications. Ê The book begins with a quick recap of the fundamental JavaScript (JS) concepts like the syntax of JS, data types, operators, conditionals, looping, functions, arrays, objects, and so on. The readers will also explore the handy Chrome DevelopersÕ Tools.ÊÊ This book will also help readers learn and implement important concepts like how to connect to the servers, fetching data like images, user information, videos, etc. from the server, and displaying it on the web page. Besides that, users will learn about impactful concepts like testing JavaScript code, regular expressions, and exploring the popular ES6 and the versions beyond. Most importantly, this book will help you with the best JavaScript practices followed by companies like Google, Facebook, Twitter, etc. to develop a live application right from scratch. WHAT YOU WILL LEARN _ Build dynamic web applications interacting with servers using Vanilla. _ Improve code efficiency by learning advanced concepts of JavaScript. _ Get acquainted with best practices adopted by industry leaders, including Google and Facebook.Ê _ Get access to work with popular libraries like ReactJS, jQuery, Angular, Ember, and Vue. WHO THIS BOOK IS FORÊÊ This book is for aspiring web developers and fairly experienced JavaScript developers who want to create modern web and server applications. Prior knowledge of HTML and CSS is essential to begin with this book. TABLE OF CONTENTS 1. Introduction to JavaScript 2. The DeveloperÕs Tools 3. Functions 4. Arrays 5. Objects 6. ES6 7. Classes 8. Callbacks and Promises 9. AJAX and Interacting with Servers 10. Developing a Live Application! 11. Storing Data in Browsers 12. Debugging and Error Handling 13. Testing and Test Frameworks 14. Regular Expressions 15. Life after ES6 16. Tips and Tricks |
| bigtreetech skr 3 ez manual: Grokking Simplicity Eric Normand, 2021-05-18 Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they''re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technology Even experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that''s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the book In Grokking Simplicity, you''ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional programmer Eric Normand guides you to a crystal-clear understanding of why certain features of modern software are so prone to complexity and introduces you to the functional techniques you can use to simplify these systems so that they''re easier to read, test, and debug. Through hands-on examples, exercises, and numerous self-assessments, you''ll learn to organize your code for maximum reusability and internalize methods to keep unwanted complexity out of your codebase. Regardless of the language you''re using, the ways of thinking in this book will help recognize problematic code and tame even the most complex software. what''s inside Apply functional programming principles to reduce codebase complexity Work with data transformation pipelines for code that''s easier to test and reuse Tools for modeling time to simplify asynchrony 60 exercises and 100 questions to test your knowledge about the reader For experienced programmers. Examples are in JavaScript. about the author Eric Normand has been a functional programmer since 2001 and has been teaching functional programming online and in person since 2007. Visit LispCast.com to see more of his credentials. |
| bigtreetech skr 3 ez manual: Data Engineering on Azure Vlad Riscutia, 2021-08-17 Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft’s own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. About the book In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. What's inside Data inventory and data governance Assure data quality, compliance, and distribution Build automated pipelines to increase reliability Ingest, store, and distribute data Production-quality data modeling, analytics, and machine learning About the reader For data engineers familiar with cloud computing and DevOps. About the author Vlad Riscutia is a software architect at Microsoft. Table of Contents 1 Introduction PART 1 INFRASTRUCTURE 2 Storage 3 DevOps 4 Orchestration PART 2 WORKLOADS 5 Processing 6 Analytics 7 Machine learning PART 3 GOVERNANCE 8 Metadata 9 Data quality 10 Compliance 11 Distributing data |
| bigtreetech skr 3 ez manual: Advanced Algorithms and Data Structures Marcello La Rocca, 2021-08-10 Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization |
| bigtreetech skr 3 ez manual: Practical Approach for Machine Learning and Deep Learning Algorithms Pandey Abhishek Kumar, 2019-09-20 Guide covering topics from machine learning, regression models, neural network to tensor flow Key features Machine learning in MATLAB using basic concepts and algorithms. Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data. Machine learning workflow for health monitoring. The neural network domain and implementation in MATLAB with explicit explanation of code and results. How predictive model can be improved using MATLAB? MATLAB code for an algorithm implementation, rather than for mathematical formula. Machine learning workflow for health monitoring. Description Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it.What will you learn Pre-requisites to machine learning Finding natural patterns in data Building classification methods Data pre-processing in Python Building regression models Creating neural networks Deep learning Who this book is forThe book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.Table of contents1. Pre-requisite to Machine Learning2. An introduction to Machine Learning3. Finding Natural Patterns in Data4. Building Classification Methods5. Data Pre-Processing in Python6. Building Regression Models7. Creating Neural Networks8. Introduction to Deep LearningAbout the authorAbhishek Kumar Pandey is pursuing his Doctorate in computer science and done M.Tech in Computer Sci. & Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer. He has total Academic teaching experience of more than eight years with more than 50 publications in reputed National and International Journals. His research area includes- Artificial intelligence, Image processing, Computer Vision, Data Mining, Machine Learning. His Blog: http://veenapandey.simplesite.com/His LinkedIn Profile: https://www.linkedin.com/in/abhishek-pandey-ba6a6a64/ Pramod Singh Rathore is M. Tech in Computer Sci. and Engineering from Government Engineering College Ajmer, Rajasthan Technical University, Kota, India. He have been working as an Assistant Professor Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also a visiting faculty in Government University Ajmer. He has authored a book in Network simulation which published worldwide. He has a total academic teaching experience more than 7 years with many publications in reputed national group, CRC USA, and has 40 publications as Research papers and Chapters in reputed National and International E-SCI SCOPUS. His research area includes machine learning, NS2, Computer Network, Mining, and DBMS. Dr S. Balamurugan is the Head of Research and Development, Quants IS & CS, India. Formely, he was the Director of Research and Development at Mindnotix Technologies, India. He has authored/co-authored 33 books and has 200 publications in various international journals and conferences to his credit. He was awarded with Three Post-Doctoral Degrees- Doctor of Science (D.Sc.) degree and Two Doctor of Letters(D.Litt) degrees for his significant contribution to research and development in Engineering, and is the recepient of thee Best Director Award, 2018. His biography is listed in e;World Book of Researcherse; 2018, Oxford, UK and in e;Marquis WHO'S WHOe; 2018 issue, New Jersey, USA. He carried out a healthcare consultancy project for VGM Hospitals between 2013 and 2016, and his current research projects include e;Women Empowerment using IoTe;, e;Health-Aware Smart Chaire;, e;Advanced Brain Simulators for Assisting Physiological Medicinee;, e;Designing Novel Health Bandse; and e;IoT -based Devices for Assisting Elderly Peoplee;. His LinkedIn Profile: https://www.linkedin.com/in/dr-s-balamurugan-008a7512/ |
| bigtreetech skr 3 ez manual: 100+ Solutions in Java Dhruti Shah, 2021-01-06 A step by step guide that will help you learn the Java programming language Ê KEY FEATURESÊÊ _Get familiar with the features in Java 8 And Java 9 _Understand the working of various Java APIs _Learn Modular Programming with Java 9 _Learn to use features such as Lambda, Time API, and Stream API. _Learn how to access databases from a Java applicationÊ DESCRIPTIONÊÊ 100+ Solutions in Java is an easy-to-understand step-by-step guide that helps you develop applications using Java 8 and Java 9. It is for everyone, from beginners to professionals, who wish to begin development in Java. The content is designed as per increasing complexity and is explained in detail with appropriate examples. Ê This book follows a practical approach by providing ample examples and assignments for you to test your understanding of each concept. You will also get familiar with the important features introduced in Java 10. This book is a ÒbeginnerÕs guideÓ that will help you upskill your knowledge in Java. By the end of the book, you will know the different features introduced in Java over the years and will learn to implement these features to develop real-world applications. Ê WHAT YOU WILL LEARNÊÊ _Work with the newly introduced features in Java 8 And Java 9 _Get to know in-depth about the Java Stream API _Learn how to work with Java regular expressions _Get an overview of Inheritance and Interfaces in Java _Get familiar with Design Patterns in Java WHO THIS BOOK IS FORÊÊ This book is for Developers and Technical Specialists who are interested in learning Java. Prior knowledge of programming languages such as C, C++, or Python and any DBMS such as SQL Server, MySQL will be an added advantage. TABLE OF CONTENTSÊ 1. Introduction to Java 2. Java Programming Constructs 3. Java Application Components 4. Java Reference Types 5. Subclasses and Interfaces 6. Exceptions and Regular Expressions 7. Collections and Stream API 8. Generics and Time API 9. File Manipulation in Java 10.Ê Threads and JDBC 11.Ê Design Patterns and I18N 12.Ê More about JDK 8, 9 and 10 |
| bigtreetech skr 3 ez manual: Principles of Data Science Sinan Ozdemir, 2016-12-16 Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you. What You Will Learn Get to know the five most important steps of data science Use your data intelligently and learn how to handle it with care Bridge the gap between mathematics and programming Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results Build and evaluate baseline machine learning models Explore the most effective metrics to determine the success of your machine learning models Create data visualizations that communicate actionable insights Read and apply machine learning concepts to your problems and make actual predictions In Detail Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you'll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You'll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means. Style and approach This is an easy-to-understand and accessible tutorial. It is a step-by-step guide with use cases, examples, and illustrations to get you well-versed with the concepts of data science. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts later on and will help you implement these techniques in the real world. |
| bigtreetech skr 3 ez manual: Python for Beginners Arthur T. Brooks, 2019-09-25 Buy the Paperback today and get the Ebook Free (US Only) Have you always wanted to learn computer programming but thought it was too difficult or would take too long? Do you want to know the secret to learning Python the easy way and start programming today? This book is for you. You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials. This non-technical book will gently guide you through... The Python Programming Language. You will learn the most concise methods to get you coding on day one-the smart way. Python for Beginners. Beginner friendly hands on examples of practical and usable projects. The most useful Python examples. Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided. Strategic Python topics. The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember. This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information. Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required. Download it now buy clicking the BUY button. You'll also learn: Exactly what is Python? Which software do you need to code and run Python programs and where to find it? What are variables? What are strings and methods? Using operations with numbers? Using operations with lists? How to use comments? Working with loops? Working with IF statements? Operations involving dictionaries. Operations using defined functions. How to work with files? How to manage errors and exceptions? And more! Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios. If you are serious about learning Python fast and learning it well then start today by scrolling to the top and buying with one click. Money back guarantee! You don't need a kindle device to read this eBook. You can read it on you PC, Laptop, Mac, iPad, Tablet or even your phone. Python, Object-oriented Python, Python course, Python book, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies the python The Python |
| bigtreetech skr 3 ez manual: Solidity Smart Contracts: Build Dapps in Ethereum Blockchain Rangel Stoilov, 2019-02-08 Learn Solidity And How To Create Smart Contracts With This Book!For the past couple of years, there hasn't been a bigger breakthrough in the IT world than the one that Blockchain technology has made. The extremely fast growth of the industry, market and the technology itself leads to an enormous shortage of programmers that truly understand the blockchain. Along with the blockchain, smart contracts have emerged and with them - Solidity.The idea of this book is to give you the easiest and best practices in becoming a blockchain developer. We will be focusing on the smart contracts development with Solidity in the Ethereum ecosystem.You will learn to create your first smart contracts in the Ethereum blockchain even if you are a complete beginner and you know nothing about programming or Solidity.I will show you the online IDE Remix to create your first smart contracts and we will go through all the features that Solidity provides us as a programming language.In this book you will learn the following: We'll learn the essentials of the Ethereum blockchain. How to make and protect our wallets as well as mastering Metamask as our main Ethereum wallet in the creation of our smart contracts. We will go through the basic and advanced concepts of the Solidity language. We learn in depth how you can build your own smart contracts and test them out instantly in Remix. I will teach you how to use Metamask as your Ethereum wallet and I will give you security advice that will keep your crypto assets secure. You will have assignments that will help you out understand the material better with actual practice and not only passive consumption. After you finish this course you will fall in love with Solidity, Ethereum ecosystem and the smart contract's creation. |
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