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

1C Agda Python
Prototyping Python Dashboards for Scientists and Engineers: Build and Deploy a Complete Dashboard with Python
Автор: Houlahan Padraig
Дата выхода: 2024
Издательство: Apress Media, LLC.
Количество страниц: 250
Размер файла: 3,8 МБ
Тип файла: PDF
Добавил: LibCoder
Оглавление
Table of Contents....6 About the Author....17 About the Technical Reviewer....18 Acknowledgments....19 Introduction....20 Chapter 1: Working with Python....33 Coding Design: Python and OOD....33 Python Data Types....36 Lists, Tuples, and Sets....38 Dictionaries....41 Series....43 Dataframes....44 Building Dataframes....45 Accessing Dataframe Rows and Columns....50 Using loc[ ] and iloc[ ] to Access by Position....52 Filtering – Extracting Elements by Value....54 The Spyder IDE....57 Summary....59 Chapter 2: Reactive Programming with PLOTLY and DASH....59 Getting Started with PLOTLY....59 Getting Started with DASH....65 Summary....71 Chapter 3: Working with Online Data....72 About the ATADS Dataset....72 ATADS Screen Scraping....78 Converting Excel to CSV with Data Cleanup....81 Managing and Keeping Our Files Up to Date....82 Summary....84 Chapter 4: Planning the Dashboard Prototype....84 Overview....84 Project Tasks....88 Trends and Forecasts....90 Other Design Considerations....92 Summary....93 Chapter 5: Our First Dashboard....94 The atads.py File....95 The atads_layout Class....98 The atads_figures Class....101 Initialization....101 Variable Name Management....102 Miscellaneous Variable Initialization....104 Class Methods....104 I/O and Variable Name Utilities....105 The update_mainchart() Method....106 Methods for Drawing Raw and Smoothed Data....108 Methods to Enhance Chart Visual Appeal....110 Methods to Add Polynomial Curve Fits....112 Fine-Tuning with CSS....117 Summary....121 Chapter 6: Dashboard Enhancements....122 Adding the Banner and the Instruction Panels....125 Monthly and Weekday Histogram Panels....129 The Spectrum Panel....134 Quantifying Weekly and Seasonal Effects....139 The Final ATADS Dashboard....148 Summary....149 Chapter 7: Hosting an Application on a UNIX Server....150 Creating the Python Environment....152 Running a Flask Application....155 Using uWSGI....157 Using GUNICORN....159 Summary....160 Chapter 8: Deploying Your Project As a UNIX Service....160 Creating a Hello World System Service....162 Using NGINX to Share Your Hello World App....164 Adding the Dashboard Project to Your Server....167 Creating the Dashboard System Service and Deploying with NGINX....169 Securing Your Server....172 Summary....174 Chapter 9: The BTS T100 Dataset: Interacting Controls and Tables....174 The BTS T100dm Dataset....175 Prototyping a T100dm Display....175 Managing Modes and Interacting Menus....181 Figures and Tables....184 Summary....187 Chapter 10: Creating a Web Portal....187 Troubleshooting WordPress....193 Summary....200 Chapter 11: Using Our Dashboard for Data Visualization and Analysis....200 Airport Type, Trends, and Location....201 Airshows and Seasonal – Using Spectra....203 Incorporating Models....210 Media, Presentations, Reports, and Projects....214 Summary....218 Chapter 12: Afterword....218 Appendix A: Utilities for Managing ATADS Data....220 Notes....231 Data Update Process....232 Index....232

Описание

Коротко и по делу о том, что важно знать про data.

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.

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. You’ll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. 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 LearnDesign a dashboard with PythonConvert and filter Excel formatted files to produce CSV filesCreate browser-served graphics with PLOTLYGenerate polynomial trend lines for forecastingBuild a Unix service to share your dashboardWho This Book Is ForScientists, 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.

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data python dashboards dashboard engineers interactive programming skills

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Книга предоставляется в формате PDF, размер файла 3,8 МБ.

Кто автор и когда вышла книга?

автор — Houlahan Padraig, издательство Apress Media, LLC., год выпуска 2024, 250 страниц.

О чём книга «Prototyping Python Dashboards for Scientists and Engineers: Build and Deploy a Complete Dashboard with Python»?

Create interactive and data-driven dashboards using Python.

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