Building Data Driven Applications With Danfo Js

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Building Data Driven Applications With Danfo Js

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Author : Rising Odegua
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-24

Building Data Driven Applications With Danfo Js written by Rising Odegua and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.

Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques Key FeaturesBuild microservices to perform data transformation and ML model serving in JavaScriptExplore what Danfo.js is and how it helps with data analysis and data visualizationCombine Danfo.js and TensorFlow.js for machine learningBook Description Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications. Starting with an overview of modern JavaScript, you'll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You'll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you'll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js. By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser. What you will learnPerform data experimentation and analysis with Danfo.js and DnotebookBuild machine learning applications using Danfo.js integrated with TensorFlow.jsConnect Danfo.js with popular database applications to aid data analysisCreate a no-code data analysis and handling system using internal librariesDevelop a recommendation system with Danfo.js and TensorFlow.jsBuild a Twitter analytics dashboard for sentiment analysis and other types of data insightsWho this book is for This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.

Knowledge Management And Digital Transformation Power

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Author : Orhan TORKUL
language : en
Publisher: Efe Akademi Yayınları
Release Date : 2022-11-25

Knowledge Management And Digital Transformation Power written by Orhan TORKUL and has been published by Efe Akademi Yayınları this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Computers categories.

İÇİNDEKİLER ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN DISTANCE EDUCATION (2012-2021): A SYSTEMATIC REVIEW MEHMET BARIŞ HORZUM - DENİZ DEMİRCİOĞLU DİREN THE ROLE OF CUSTOMER KNOWLEDGE IN DIGITAL TRANSFORMATION: CUSTOMER KNOWLEDGE MANAGEMENT AS A COMPETITIVE ADVANTAGE THROUGH SOCIAL MEDIA PLATFORMS LEVENT ÇALLI MACHINE LEARNING AS A TOOL FOR ACHIEVING DIGITAL TRANSFORMATION MERVE ŞİŞCİ - YUNUS EMRE TORKUL - İHSAN HAKAN SELVİ BLOCKCHAIN-BASED ENERGY MANAGEMENT FOR SUPPLY CHAIN MANAGEMENT ERAY AÇIKGÖZ - BERRİN DENİZHAN A STUDY ON DEEP LEARNING BASED APPLICATIONS USED IN AGRICULTURE IN TURKIYE GÜNAY TEMÜR BLOCKCHAIN AND INFORMATION SHARING FATİH ÇALLI INDUSTRY 4.0, SMART FACTORIES AND EFFECTS ON BUSINESS TİJEN ÖVER ÖZÇELİK - İHSAN HAKAN SELVİ - AYTEN YILMAZ YALÇINER - MUHAMMED TAHA ZEREN ANALYSIS OF THE PARAMETERS THAT AFFECT THE MOISTURE CONTENT OF THE PUMPKIN BY DATA MINING FEYZA GÜRBÜZ OPPORTUNITIES AND CHALLENGES OF DIGITAL TRANSFORMATION IN SMEs-THE ROLE OF DYNAMIC CAPABILITIES AS A CATALYST BÜŞRA ALMA ÇALLI A CUSTOMER-CENTRIC ANALYTICS FRAMEWORK AND INSIGHTS OF DIGITAL TRANSFORMATION ÖMER FARUK SEYMEN THE FUTURE OF MONEY AS A FINANCIAL INVESTMENT TOOL: CENTRAL BANK DIGITAL CURRENCY İNCİ MERVE ALTAN

Learning Tensorflow Js

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Author : Gant Laborde
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-10

Learning Tensorflow Js written by Gant Laborde and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Computers categories.

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learning and the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use resources to convert, train, and manage machine learning data Build and train your own training models from scratch

Agile Data Science

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Author : Russell Jurney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-15

Agile Data Science written by Russell Jurney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-15 with Computers categories.

Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track

Flask Postgresql And Bootstrap

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Author : MARK JOHN PEREZ. LADO
language : en
Publisher: Independently Published
Release Date : 2025-02-07

Flask Postgresql And Bootstrap written by MARK JOHN PEREZ. LADO and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-07 with Computers categories.

"Flask, PostgreSQL, and Bootstrap: Building Data-Driven Web Applications with CRUD Operations" is your ultimate guide to mastering the art of creating powerful, data-driven web applications. Whether you're a beginner or an intermediate developer, this book provides a step-by-step journey through the essential tools and techniques needed to build dynamic web applications using Flask, PostgreSQL, and Bootstrap. Inside, you'll learn: How to Set Up Your Development Environment: Install Python, configure PostgreSQL, set up a virtual environment, and connect your Flask app to a database seamlessly. Database Design and Migrations: Design schemas, define models with SQLAlchemy, and apply migrations with ease. Comprehensive CRUD Functionality: Dive deep into creating, reading, updating, and deleting operations, complete with real-world examples such as product catalogs, blog posts, and to-do lists. Bootstrap Integration: Enhance your application's user interface with stylish and responsive layouts. Best Practices and Advanced Techniques: Improve your app with input validation, error handling, and security measures, while adhering to professional coding standards. With practical examples and project ideas like a to-do list, blog, or library management system, this book will inspire you to bring your concepts to life. Whether you're aspiring to build your portfolio, start a new project, or simply deepen your understanding of Flask and web development, this book is your go-to resource. Get ready to elevate your web development skills and create applications that are functional, secure, and beautifully designed!

Agile Data Science 2 0

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Author : Russell Jurney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-06-07

Agile Data Science 2 0 written by Russell Jurney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-07 with Computers categories.

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track

Django And Javascript

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Author : Rafael Sanders
language : en
Publisher: Independently Published
Release Date : 2025-03

Django And Javascript written by Rafael Sanders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03 with Computers categories.

Django and JavaScript: Building Scalable Full-Stack Applications with Python, React, and Vue.js is your ultimate guide to creating scalable, high-performance full-stack applications using Django, React, and Vue.js. This book is perfect for developers who want to combine the power of Python back-end frameworks with the flexibility and dynamism of modern JavaScript frameworks to create seamless, interactive, and robust web applications. You will learn how to develop feature-rich web applications by integrating Django as your back-end with React or Vue.js for the front-end. This book walks you through every step of building a full-stack application, including how to set up RESTful APIs, manage state in the front-end, and ensure your applications are optimized for performance and scalability. What You'll Learn: Building with Django: Master Django for back-end development, learning how to set up your models, views, templates, and URLs to create a robust back-end structure that seamlessly integrates with the front-end. API Development with Django Rest Framework (DRF): Discover how to use Django Rest Framework to create RESTful APIs that communicate efficiently with your front-end applications, allowing for dynamic, data-driven interfaces. Vue.js for Progressive Web Apps: Master Vue.js to create progressive, single-page applications that provide a native-like experience with a simple, flexible, and easy-to-learn framework. Front-End and Back-End Integration: Understand how to integrate React or Vue.js with Django via API calls, manage authentication, and securely pass data between the back-end and front-end. Authentication and Authorization: Implement user authentication and authorization using JWT, OAuth2, and Django's authentication system to securely handle user sessions and protect your data. State Management with React and Vue.js: Understand how to manage state in your React and Vue.js applications, making sure that data flows smoothly between the back-end and front-end and ensuring a consistent user experience. Optimizing Performance: Discover best practices for optimizing performance on both the front-end and back-end, including lazy loading, caching, and code splitting to ensure your applications are fast and responsive. Full-Stack Testing: Master the art of testing both front-end and back-end components using tools like Jest for React, Vue Test Utils for Vue.js, and pytest for Django to ensure your full-stack applications are bug-free. CI/CD Pipelines and Deployment: Implement Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools like GitHub Actions, Jenkins, or GitLab CI to streamline testing, building, and deployment of your full-stack applications. Scalable Application Architecture: Learn how to design your application for scalability, using best practices for structuring your Django and JavaScript code to ensure your applications can handle high traffic and data loads effectively. By the end of this book, you'll be equipped to build scalable full-stack applications that are secure, interactive, and performance-optimized, using Django for the back-end and React or Vue.js for the front-end. You'll also be able to implement real-time features, handle authentication, and create applications ready for production deployment.

Practical Data Analysis

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Author : Hector Cuesta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-09-30

Practical Data Analysis written by Hector Cuesta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Computers categories.

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.

Robust Data Engineering Key Techniques For Planning And Building Scalable And Reliable Data Systems

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Author : Deena Conway
language : en
Publisher: Raghava Appikatla
Release Date :

Robust Data Engineering Key Techniques For Planning And Building Scalable And Reliable Data Systems written by Deena Conway and has been published by Raghava Appikatla this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

In today's data-driven world, businesses and organizations rely heavily on robust data systems to gain insights, make informed decisions, and drive innovation. This book serves as a comprehensive guide to understanding the core principles, best practices, and advanced techniques for planning and building scalable and reliable data systems. From understanding fundamental data modeling concepts to exploring distributed systems and cloud-based architectures, this book covers a wide range of topics essential for data engineers of all levels. Learn to design efficient data pipelines, implement robust data quality checks, and ensure data security and governance. Explore real-world case studies and practical examples that demonstrate how to overcome common data engineering challenges. This book is an invaluable resource for aspiring and experienced data engineers, software developers, data analysts, and anyone involved in building and maintaining data-intensive applications. Whether you're just starting your data engineering journey or looking to expand your knowledge and skills, this book provides the foundational knowledge and practical guidance needed to excel in this rapidly evolving field. Equip yourself with the tools and techniques to design, build, and maintain data systems that can handle the ever-growing volumes of data and unlock the true potential of data-driven insights.

Data Fabric Architectures

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Author : Vandana Sharma
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-05-22

Data Fabric Architectures written by Vandana Sharma and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Computers categories.

The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric solutions; the volume focuses in particular on data architectures and on semantic changes in future data landscapes.