Prototyping Python Dashboards for Scientists and Engineers: Build and Deploy a Complete Dashboard with Python

Create interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format.

You'll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, you'll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date.

The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra.

By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts.

What You'll Learn

• Design a dashboard with Python
• Convert and filter Excel formatted files to produce CSV files
• Create browser-served graphics with PLOTLY
• Generate polynomial trend lines for forecasting
• Build a Unix service to share your dashboard

Who This Book Is For

Scientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.

使用Python創建互動和數據驅動的儀表板。這本實用的手冊是科學和工程領域中那些具有適度程式設計技能的人士，希望利用Python在用戶友好的儀表板格式中進行數據可視化和分析的實用資源。

您將首先獲得對Python編程的基本理解，包括數據類型、列表、字典和數據結構。然後，本書深入介紹了使用Plotly和Dash進行反應式編程的世界，提供了一種實用的方法來構建互動式的基於Web的儀表板。接下來，您將了解如何處理在線數據，如何抓取和清理數據集，以及如何保持文件的最新狀態。

本書還指導您如何計劃儀表板原型，概述項目任務、趨勢、預測、光譜和其他設計考慮因素。最後，它討論了儀表板如何用於實際數據的數據可視化，解釋了光譜等工具的用處。

通過提供可下載和自定義的詳細示例，《Prototyping Python Dashboards for Scientists and Engineers》將使您具備啟動自己開發工作所需的技能。

您將學到什麼：
- 使用Python設計儀表板
- 將Excel格式文件轉換和過濾以生成CSV文件
- 使用PLOTLY創建瀏覽器提供的圖形
- 生成多項式趨勢線進行預測
- 構建Unix服務以共享您的儀表板

本書適合對利用Python進行數據可視化和分析，通過創建互動式儀表板來實現這一潛力的科學家、工程師、學生、程序員和數據愛好者。其中許多人將是具有適度技能和有限資源的務實程序員，他們主要希望看到一個可行的解決方案，以便效仿。

Padraig Houlahan has a diverse career, spanning research, teaching, and I.T. management. He has worn multiple hats over the years, functioning as a scientist, software developer, college professor, flight instructor, and I.T. director. Throughout his journey, he has maintained an enduring fascination with the art of uncovering patterns within data. His Ph.D. research introduced an innovative pattern recognition approach for dissecting the structure of astronomical nebulae. In parallel, his M.A. endeavor involved the endeavor of identifying gravitational waves within Lunar Laser Ranging data.In recent times, his focus has pivoted toward aviation-centric software projects. These ventures involve real-time tracking and visualization of aircraft to aid in traffic flow analysis. Furthermore, he has played a pivotal role in rendering extensive datasets accessible to both students and faculty, benefiting airline and airport operators alike. Teaching has always held a special place in his heart, driven by the joy of witnessing students derive satisfaction from acquiring new knowledge and insights.

Padraig Houlahan擁有多元化的職業生涯，涵蓋研究、教學和資訊科技管理。多年來，他擔任過多種角色，包括科學家、軟體開發人員、大學教授、飛行教官和資訊科技總監。在他的旅程中，他一直對揭示數據中的模式著迷。他的博士研究引入了一種剖析天體星雲結構的創新模式識別方法。同時，他的碩士研究致力於在月球激光測距數據中識別引力波。近年來，他的焦點轉向以航空為中心的軟體項目。這些冒險涉及實時追蹤和可視化飛機，以協助交通流分析。此外，他在使廣泛的數據集對學生和教職員都可訪問方面發揮了關鍵作用，使航空公司和機場營運商受益。教學一直在他心中佔有特殊的地位，他喜歡看到學生從獲得新知識和見解中獲得滿足感。