Programming PHP

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

MATLAB examples found throughout the bookNumerical simulation helps students understand theory•MATLAB 2.3 shows when connecting wire must be treated as transmission line. The student can see WHY the T-Line model is required, rather than just accepting some minimum length criteria on faith.•In MATLAB example 8.4, a movie is created showing the radiation pattern from a dipole antenna as its length changes.Many homework problems draw on the MATLAB examplesSimulations can point out when ideal theory can be applied to actual situations•In MATLAB problem 2.18, students are asked to compare the field from a segment of charge to the field from an infinite length line of charge. The problem is similar to MATLAB example 2.3, so the programming is not difficult. Students are able to see that theory for an unrealistic infinite line can be put into practice in some situations.Example Problems•Students see the detailed steps needed to solve typical problemsDrill Problems•Simple problems reinforce pr

Out of all the ways for young people to learn coding, You Can Code will be the most welcoming, relevant, and fun. Created and authored by best-selling educator Ben Forta, it introduces every basic concept step by step, using projects of gradually increasing complexity. Designed for anyone age 10-17 (or thereabouts), this glossy full-color guide is packed with welcoming images, and powerfully engaging brief text that's extremely easy to understand. All code listings are in full color, with shading to reveal incremental changes, and QR links to short videos with more explanation and examples. Forta teaches with Python, one of today's most powerful and intuitive languages--and every project is a game, covering multiple popular genres. You Can Code makes programming exciting and rewarding, as it prepares a new generation to take their next steps forward--in education, careers, or both.

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

本書以零基礎講解為宗旨，用實例引導的方法，深入淺出地介紹了Oracle的相關知識和實戰技能。本書第1 篇【基礎知識】主要講解Oracle的安裝與配置、SQL的基礎知識、高級SQL限定查詢、Oracle的單行函數、多表查詢、分組統計查詢、子查詢、Oracle數據的基本操作、Oracle的表創建與管理以及Oracle的數據完整性等；第2篇【核心技術】主要講解Oracle數據庫對象的使用、PL/SQL編程、￿標、存儲過程與函數、觸發器和程序包、表空間管理、控制文件及日誌文件的管理、Oracle的安全管理以及數據庫備份與恢復等；第3篇【高級應用】主要介紹PowerDesigner設計工具及數據庫設計、在ASP中訪問Oracle、 在Java中訪問Oracle、在JSP中訪問Oracle、在PHP中訪問Oracle 等；第4篇【項目實戰】主要講解基於B/S結構的求職網的設計與實現以及閒置品交易網站的設計與實現。本書提供了與圖書內容全程同步的教學錄像。此外，還贈送了大量相關學習資料，以便讀者擴展學習。本書適合任何想學習Oracle的讀者，無論是否從事計算機相關行業，是否接觸過Oracle，均可通過閱讀本書快速掌握Oracle的開發方法和技巧。

Software testing can be regarded as an art, a craft, and a science. The practical, step-by-step approach presented in this book provides a bridge between these different viewpoints. A single worked example runs throughout, with consistent use of test automation. Each testing technique is introduced in the context of this example, helping students see its strengths and weaknesses. The technique is then explained in more detail, providing a deeper understanding of underlying principles. Finally the limitations of each technique are demonstrated by inserting faults, giving learners concrete examples of when each technique succeeds or fails in finding faults. Coverage includes black-box testing, white-box testing, random testing, unit testing, object-oriented testing, and application testing. The authors also emphasise the process of applying the techniques, covering the steps of analysis, test design, test implementation, and interpretation of results. The book's web site has programming

本書是『工業4.0系列』的地理資訊技術之第一本書，書名：整合地理資訊技術之物聯網系統開發(基礎入門篇):An Introduction to the System Development of In-ternet of Thing integrated with Geographic Information Technology，主要是在工業4.0環境之中，需要一個雲端平台的來針對所有裝置資料進行儲存、分享、運算、分析、展示、整合運用…等廣範用途，上述這些需求，我們需要一個簡易、方便與擴展性高雲端服務。 筆者針對上面需求為主軸，以QNAP 威聯通 TS-431P2-1G 4-Bay NAS主機為標的物，開始介紹如何使用QNAP 威聯通 TS-431P2-1G 4-Bay NAS雲端主機，從資料庫建立，資料表規劃到網頁主機的php程式攥寫、資料呈現，在應用Google 雲端資源：Google Chart 到Google Map等雲端資源的使用到程式系統的開發，一步一步的圖文步驟，讀者可以閱讀完後，就有能力自行開發雲端平台的應用程式。 本文也使用讀者熟悉的Arduino或其他相容開發板，來進行微型系統開發的範例，希望讀這閱讀之後，可以針對物聯網、工業4.0等開發系統時，針對雲端的運用，可以自行建置一個商業級的雲端系統服務，其穩定性、安裝困難度、維護成本都遠低於自行組立的主機系統，省下來的時間可以讓讀者可以專注在開發物聯網、工業4.0等產品有更多的心力。 未來筆者希望可以推出更多的入門書籍給更多想要進入『工業4.0』、『物聯網』這個未來大趨勢，所有才有這個工業4.0』系列的產生。