Python 3 Data Visualization using Google Gemini:

This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhance their visualization skills, it explores essential libraries like Pandas, Matplotlib, and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Campesato, Oswald (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Dulles, VA Mercury Learning and Information [2024]
Schriftenreihe:MLI Generative AI Series
Schlagwörter:
Links:https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://www.degruyter.com/document/isbn/9781501519796/html
https://www.degruyter.com/document/isbn/9781501519796/html
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
https://doi.org/10.1515/9781501519796
Zusammenfassung:This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhance their visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading.FEATURES: Covers Python-based data visualization libraries and techniques Includes practical examples and Gemini-generated code samples for efficient learning Integrates Google Gemini for advanced data visualization capabilities Sets up a conducive development environment for a seamless coding experience Includes companion files for downloading with source code and figures
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Apr 2024)
Umfang:1 Online-Ressource (184 Seiten)
ISBN:9781501519796
DOI:10.1515/9781501519796