Python 3 Data Visualization Using Google Gemini

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Détails bibliographiques
Auteur principal: Campesato, Oswald. (Auteur)
Support: E-Book
Langue: Anglais
Publié: Boston, MA : Mercury Learning and Information.
Autres localisations: Voir dans le Sudoc
Résumé: 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 enhancetheir 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 techniquesIncludes practical examples and Gemini-generated code samples for efficient learningIntegrates Google Gemini for advanced data visualization capabilitiesSets up a conducive development environment for a seamless coding experienceIncludes companion files for downloading with source code and figures
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Résumé: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 enhancetheir 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 techniquesIncludes practical examples and Gemini-generated code samples for efficient learningIntegrates Google Gemini for advanced data visualization capabilitiesSets up a conducive development environment for a seamless coding experienceIncludes companion files for downloading with source code and figures
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ISBN:9781501519796
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