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| 008 | 240229s2024 xxu| s |||| 0|eng d | ||
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_a10.1007/979-8-8688-0221-8 _2doi |
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| 100 | 1 |
_aHoulahan, Padraig. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _972278 |
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| 245 | 1 | 0 |
_aPrototyping Python Dashboards for Scientists and Engineers _h[electronic resource] : _bBuild and Deploy a Complete Dashboard with Python / _cby Padraig Houlahan. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aBerkeley, CA : _bApress : _bImprint: Apress, _c2024. |
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| 300 |
_aXXVII, 201 p. 128 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aChapter 1 Working with Python -- Chapter 2 Reactive Programming with PLOTLY and DASH -- Chapter 3 Working with Online Data -- Chapter 4 Planning the Dashboard Prototype -- Chapter 5 Our First Dashboard -- Chapter 6 Dashboard Enhancements -- Chapter 7 Hosting the prototype on a UNIX server -- Chapter 8 Deploying Your Project as a Unix Service -- Chapter 9 The BTS T100 Dataset: Interacting Controls and Tables -- Chapter 10 Creating a Web Portal -- Chapter 11 Using our Dashboard for Data Visualization -- Chapter 12 Afterwords. | |
| 520 | _aCreate 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. | ||
| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 0 |
_aMachine learning. _955059 |
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| 650 | 0 |
_aPython (Computer program language). _964608 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 650 | 2 | 4 |
_aPython. _947553 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9798868802201 |
| 776 | 0 | 8 |
_iPrinted edition: _z9798868802225 |
| 776 | 0 | 8 |
_iPrinted edition: _z9798868807275 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/979-8-8688-0221-8 |
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| 912 | _aZDB-2-SXPC | ||
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