Easy Learning Jdbc Mysql

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Easy Learning Jdbc Mysql

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Author : yang hu
language : en
Publisher: Independently Published
Release Date : 2019-04-18

Easy Learning Jdbc Mysql written by yang hu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-18 with categories.

The complexity of life, because they do not understand to simplify the complex, to simplify the complexity, simple is the beginning of wisdom. From the essence of practice, to briefly explain the concept, and vividly cultivate programming interest, this book easy and quickly learn JDBC + MySQL.1. JDBC connect MySQL about Add Delete Update Research2. JDBC Precompiled CRUD3. JDBC Tool DBUtil4. DBUtil User CRUD5. DBUtil UserDAO CRUD6. DBUtil UserDAO Paging Query7. JDBC Reflections Any Object8. JDBC Transaction9. JDBC Save and Export Text File10. JDBC Save and Export Picture11. JDBC Call Stored Procedure Add User12. JDBC Call Stored Procedure Update User13. JDBC Call Stored Procedure Delete User14. JDBC Call Stored Procedure Query User15. JDBC Call Stored Procedure Return Parameter

Infomatic Practices

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Author : Reeta Sahoo, Gagan Sahoo
language : en
Publisher: New Saraswati House India Pvt Ltd
Release Date :

Infomatic Practices written by Reeta Sahoo, Gagan Sahoo and has been published by New Saraswati House India Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

A series of Book of Computers . The ebook version does not contain CD.

Java Database Best Practices

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Author : George Reese
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2003-05-14

Java Database Best Practices written by George Reese 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 2003-05-14 with Computers categories.

When creating complex Java enterprise applications, do you spend a lot of time thumbing through a myriad of books and other resources searching for what you hope will be the API that's right for the project at hand?Java Database Best Practices rescues you from having to wade through books on each of the various APIs before figuring out which method to use! This comprehensive guide introduces each of the dominant APIs (Enterprise JavaBeans, Java Data Objects, the Java Database Connectivity API (JDBC) as well as other, lesser-known options), explores the methodology and design components that use those APIs, and then offers practices most appropriate for different types and makes of databases, as well as different types of applications.Java Database Practices also examines database design, from table and database architecture to normalization, and offers a number of best practices for handling these tasks as well. Learn how to move through the various forms of normalization, understand when to denormalize, and even get detailed instructions on optimizing your SQL queries to make the best use of your database structure. Through it all, this book focuses on practical application of these techniques, giving you information that can immediately be applied to your own enterprise projects.Enterprise applications in today's world are about data-- whether it be information about a product to buy, a user's credit card information, or the color that a customer prefers for their auto purchases. And just as data has grown in importance, the task of accessing that data has grown in complexity. Until now, you have been left on your own to determine which model best suits your application, and how best to use your chosen API. Java Database Practices is the one stop reference book to help you determine what's appropriate for your specific project at hand. Whether it's choosing between an alphabet soup of APIs and technologies--EJB, JDO, JDBC, SQL, RDBMS, OODBMS, and more on the horizon, this book is an indispensable resource you can't do without.

Easy Learning Jdbc Oracle

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Author : yang hu
language : en
Publisher: Independently Published
Release Date : 2019-04-19

Easy Learning Jdbc Oracle written by yang hu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-19 with categories.

The complexity of life, because they do not understand to simplify the complex, to simplify the complexity, simple is the beginning of wisdom. From the essence of practice, to briefly explain the concept, and vividly cultivate programming interest, this book easy and quickly learn JDBC + Oracle.1. JDBC connect Oracle about Add Delete Update Research2. JDBC Precompiled CRUD3. JDBC Tool DBUtil4. DBUtil User CRUD5. DBUtil UserDAO CRUD6. DBUtil UserDAO Paging Query7. JDBC Reflections Any Object8. JDBC Transaction9. JDBC Save and Export Text File10. JDBC Save and Export Picture11. JDBC Call Stored Procedure Add User12. JDBC Call Stored Procedure Update User13. JDBC Call Stored Procedure Delete User14. JDBC Call Stored Procedure Query User15. JDBC Call Stored Procedure Return Parameter

Machine Learning End To End Guide For Java Developers

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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-10-05

Machine Learning End To End Guide For Java Developers written by Richard M. Reese 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 2017-10-05 with Computers categories.

Develop, Implement and Tuneup your Machine Learning applications using the power of Java programming About This Book Detailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspects Address predictive modeling problems using the most popular machine learning Java libraries A comprehensive course covering a wide spectrum of topics such as machine learning and natural language through practical use-cases Who This Book Is For This course is the right resource for anyone with some knowledge of Java programming who wants to get started with Data Science and Machine learning as quickly as possible. If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. What You Will Learn Understand key data analysis techniques centered around machine learning Implement Java APIs and various techniques such as classification, clustering, anomaly detection, and more Master key Java machine learning libraries, their functionality, and various kinds of problems that can be addressed using each of them Apply machine learning to real-world data for fraud detection, recommendation engines, text classification, and human activity recognition Experiment with semi-supervised learning and stream-based data mining, building high-performing and real-time predictive models Develop intelligent systems centered around various domains such as security, Internet of Things, social networking, and more In Detail Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning. The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books: Java for Data Science Machine Learning in Java Mastering Java Machine Learning On completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence. Style and approach This comprehensive course proceeds from being a tutorial to a practical guide, providing an introduction to machine learning and different machine learning techniques, exploring machine learning with Java libraries, and demonstrating real-world machine learning use cases using the Java platform.

Learn Everything About Javascript Python Java C And Sql

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Author : Marcel Souza
language : en
Publisher: GAVEA LAB
Release Date :

Learn Everything About Javascript Python Java C And Sql written by Marcel Souza and has been published by GAVEA LAB this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.

Unlock the doors to a world of coding mastery with "Learn Everything About JavaScript, Python, Java, C#, and SQL." Whether you're stepping into the coding universe for the first time or expanding your existing skills, this comprehensive guide is your ticket to becoming a true programming virtuoso. Dive headfirst into the core principles of coding, unraveling the mysteries of JavaScript, Python, Java, C#, and SQL. This book is your trusty guide, walking you through each language's nuances, quirks, and potential applications. Harness the power of JavaScript to breathe life into web pages, tame the versatility of Python for data manipulation, wield the strength of Java for robust applications, leverage C# for Windows development, and master SQL for seamless database management. But it doesn't stop at the basics – this guide propels you into the realm of advanced coding techniques. Uncover the secrets of building dynamic websites, crafting intelligent algorithms, and even dipping your toes into the vast ocean of data science and machine learning. Whether you're a newbie eager to learn or a seasoned coder looking to expand your repertoire, "Learn Everything About JavaScript, Python, Java, C#, and SQL" is your compass in the coding wilderness. Don't miss out on the chance to become a coding maestro. Grab your copy now and embark on your journey to coding greatness!

Java Data Science Made Easy

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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-07

Java Data Science Made Easy written by Richard M. Reese 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 2017-07-07 with Computers categories.

Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing your existing Java stack, this book is for you! What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: Java for Data Science Mastering Java for Data Science Style and approach This course follows a tutorial approach, providing examples of each of the concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Basic To Advanced Java Programming In Hinglish

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Author : A. Khan
language : en
Publisher: Code Academy
Release Date :

Basic To Advanced Java Programming In Hinglish written by A. Khan and has been published by Code Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Basic to Advanced Java Programming in Hinglish: Learn Java with Projects, OOPs, and Real-World Examples by A. Khan ek beginner-to-expert level guide hai jo aapko Java programming sikhata hai — step-by-step aur practical ke sath — easy Hinglish language mein.

Spring Mvc Blueprints

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Author : Sherwin John Calleja Tragura
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-07-29

Spring Mvc Blueprints written by Sherwin John Calleja Tragura 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 2016-07-29 with Computers categories.

Design and implement real-world web-based applications using the Spring Framework 4.x specification based on technical documentation About This Book Learn all the details of implementing Spring 4.x MVC applications from basic core platform construction to advanced integration implementations Gain a complete reference guide to implementing the controllers, models, views, view resolvers, and other service-related components to solve various real-world problems Discover the possible optimal solutions for developers and experts to build enterprise and personal web-based applications Create a Spring MVC application that has a validation process and exception handling with the HTTP status codes Who This Book Is For This book is for competent Spring developers who wish to understand how to develop complex yet flexible applications with Spring MVC. You must have a good knowledge of JAVA programming and be familiar with the basics of Spring. What You Will Learn Set up and configure the Spring 4.x MVC platform from ground level up using the basic Spring Framework 4.x APIs Study requirements and manage solutions on file uploading transactions in Spring 4.x applications Configure, , and test Spring integration to the Hibernate, MyBatis, and JPA frameworks for database transactions Properly implement exception handlers and audit trails in Spring MVC applications Generate reports using JFreeChart, Google Charts, JasperReports, DynamicReports, FreeMarker, Velocity, and Spring's API known as ContentNegotiatingViewResolver Configure security and flexibility by adding Captcha, Spring Security, Spring Flow, Spring Portlets, JTA to improve data management performance Implement web services using Spring's RESTful implementation and other service-oriented integration plugins Design and implement a Spring 4.x application using AngularJS, ExtJs, Twitter Bootstrap, and Spring Mobile for responsive web design In Detail Spring MVC is the ideal tool to build modern web applications on the server side. With the arrival of Spring Boot, developers can really focus on the code and deliver great value, leveraging the rich Spring ecosystem with minimal configuration. Spring makes it simple to create RESTful applications, interact with social services, communicate with modern databases, secure your system, and make your code modular and easy to test. It is also easy to deploy the result on different cloud providers. This book starts all the necessary topics in starting a Spring MVC-based application. Moving ahead it explains how to design model objects to handle file objects. save files into a data store and how Spring MVC behaves when an application deals with uploading and downloading files. Further it highlights form transactions and the user of Validation Framework as the tool in validating data input. It shows how to create a customer feedback system which does not require a username or password to log in. It will show you the soft side of Spring MVC where layout and presentation are given importance. Later it will discuss how to use Spring Web Flow on top of Spring MVC to create better web applications. Moving ahead, it will teach you how create an Invoice Module that receives and transport data using Web Services By the end of the book you will be able to create efficient and flexible real-time web applications using all the frameworks in Spring MVC. Style and approach This book is a compendium of technical specification documents that will guide you through building an application using Spring 4.x MVC. Each chapter starts with a high-level wireframe design of the software followed by how to set up and configure different libraries and tools.

Mahir Visual C Dengan Membuat Animasi Dan Game

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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-17

Mahir Visual C Dengan Membuat Animasi Dan Game written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Computers categories.

Pada bab pertama, Anda akan belajar bagaimana membangun aplikasi Visual C# dan bagaimana lingkungan pengembangan (IDE, integrated development environment) Visual C# digunakan untuk mengembangkan sebuah aplikasi game sederhana. Pada bab kedua, Anda akan membangun sebuah projek agar anak-anak (orang dewasa) dapat berlatih keterampilan dasar dalam operasi penjumlahan, pengurangan, perkalian, dan pembagian. Projek Game Matematika ini dapat dipakai untuk memilih jenis soal dan apa faktor yang ingin digunakan. Projek ini memiliki tiga opsi pewaktuan. Soal-soal matematika acak menggunakan nilai dari 0 sampai 9 akan disajikan. Opsi-opsi pewaktuan disediakan untuk mengukur akurasi dan kecepatan. Pada bab ketiga, Anda akan membangun sebuah program Ujian Pilihan Berganda. Item-item acak yang diekstraksi dari sebuah file akan ditampilkan pada user. User kemudian memilih item yang cocok. Sebagai contoh, jika sebuah ibukota ditampilkan, maka user akan memilih propinsi yang bersangkutan. Jawaban disajikan dalam pilihan berganda atau diketikkan sendiri oleh user. Pada bab keempat, Anda akan membangun sebuah program game kartu BlackJack. Program ini dapat dipakai oleh seorang pemain untuk melawan bandar komputer. Ide BlackJack adalah untuk mendapatkan skor lebih tinggi dari bandar tanpa melewati poin 21. Kartu-kartu dihitung sesuai nilainya (kecuali kartu Jack, Queen, dan King bernilai 10 dan Ace bernilai satu atau sebelas sesuai keinginan Anda). Jika Anda mengalahkan bandar, Anda mendapatkan 10 poin. Jika Anda mendapatkan BlackJack (nilai 21 hanya dengan dua kartu) dan mengalahkan bandar, Anda mendapatkan 15 poin. Jika bandar mengalahkan Anda, Anda kehilangan 10 poin. Semoga buku ini bermanfaat bagi mereka yang berminat memperdalam pemrograman C#. NET.