Robin

Algoritma Dan Pemrograman Tingkat Dasar Dengan Delphi

Buku Pemograman yang berjudul Algoritma Dan Pemrograman Tingkat Dasar Dengan Delphi merupakan buku karya Robin & Wenripin Chandra. Buku ini bermanfaat bagi siswa-siswa, mahasiswa/i dan masyarakat umum untuk meningkatkan pengetahuan di bidang pemograman. Buku Algoritma Dan Pemrograman Tingkat Dasar Dengan Delphi ini akan membahas tentang perkembangan perangkat lunak yang dikembangkan melalui algoritma. Cara berpikir logis dan cara penyelesaian secara matematis dan sistematis yang dituangkan lewat pemrograman komputer sehingga perangkat lunak canggih dapat dikembangkan dari engine perangkat lunak tersebut. Daftar isi buku Algoritma Dan Pemrograman Tingkat Dasar Dengan Delphi meliputi : Bab 1 - Percabangan dan Expection Handling dalam Bahasa Pemrograman Delphi Bab 2 - Perulangan (Looping) dengan Jumlah Perulangan yang Sudah Diketahui Bab 3 - Perulangan dengan Jumlah Perulangan yang Sudah Diketahui Bab 4 - Perulangan Bersarang (Nested Loop) Bab 5 - Dasar Pemrograman Array dan Array 1 Dimensi Bab 6 - Array 2 Dimensi dan Array Dimensi Banyak Bab 7 - Tipe Data String Bab 8 - Fungsi Matematika dan Built-in Lainnya Bab 9 - User Define Function Bab 10 - Mengatur Tampilan Cetakan dengan Bantuan Fungsi dalam Kasus Perulangan Spesifikasi buku ini meliputi : Kategori : Pemrograman Penulis : Robin & Wenripin Chandra E-ISBN : 978-623-02-5135-1 Ukuran : 17.5x25 cm Halaman : 114 hlm Tahun Terbit : 2022 Penerbit Deepublish adalah penerbit buku yang memfokuskan penerbitannya dalam bidang pendidikan, terutama pendidikan tinggi (universitas dan sekolah tinggi). Penerbit Deepublish adalah penerbit buku yang memfokuskan penerbitannya dalam bidang pendidikan, terutama pendidikan tinggi (universitas dan sekolah tinggi).

Learning PHP, MySQL & JavaScript

Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. In this update to this popular hands-on guide, you’ll tackle dynamic web programming with the latest versions of today’s core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and key jQuery libraries. Web designers will learn how to use these technologies together and pick up valuable web programming practices along the way—including how to optimize websites for mobile devices. At the end of the book, you’ll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL, from database structure to complex queries Use the MySQLi extension, PHP’s improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance the JavaScript language with jQuery and jQuery mobile libraries Use Ajax calls for background browser-server communication Style your web pages by acquiring CSS2 and CSS3 skills Implement HTML5 features, including geolocation, audio, video, and the canvas element Reformat your websites into mobile web apps

Distributed Computing in Big Data Analytics

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.

Etika

Australian Marketing Management