Python 3 Data Visualization Using Google Gemini
Seiten
2024
De Gruyter (Verlag)
978-1-5015-2280-2 (ISBN)
De Gruyter (Verlag)
978-1-5015-2280-2 (ISBN)
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.
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
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
Oswald Campesato specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
1: Introduction to Python
2: Introduction to NumPy
3: Matplotlib and Visualization
4: Seaborn for Data Visualization
5: Generative AI, Bard, and Gemini
6: Bard and Data Visualization
Index
| Erscheinungsdatum | 09.04.2024 |
|---|---|
| Reihe/Serie | MLI Generative AI Series |
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 281 g |
| Themenwelt | Kunst / Musik / Theater ► Malerei / Plastik |
| Informatik ► Programmiersprachen / -werkzeuge ► Assembler | |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-5015-2280-9 / 1501522809 |
| ISBN-13 | 978-1-5015-2280-2 / 9781501522802 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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Buch | Softcover (2024)
dpunkt (Verlag)
CHF 51,65
