Python 3 Data Visualization Using Google Gemini / / Oswald Campesato.
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...
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| VerfasserIn: | |
|---|---|
| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2024] ©2024 |
| Year of Publication: | 2024 |
| Language: | English |
| Series: | MLI Generative AI Series
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| Online Access: | |
| Physical Description: | 1 online resource (184 p.) |
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| 001 | 9781501519796 | ||
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| 100 | 1 | |a Campesato, Oswald, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Python 3 Data Visualization Using Google Gemini / |c Oswald Campesato. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2024] | |
| 264 | 4 | |c ©2024 | |
| 300 | |a 1 online resource (184 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 0 | |a MLI Generative AI Series | |
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Chapter 1: Introduction to Python -- |t Chapter 2: Introduction to NumPy -- |t Chapter 3: Matplotlib and Visualization -- |t Chapter 4: Seaborn for Data Visualization -- |t Chapter 5: Generative AI, Bard, and Gemini -- |t Chapter 6: Bard and Data Visualization -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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 | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Apr 2024) | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Assembly Language. |2 bisacsh | |
| 653 | |a Bard. | ||
| 653 | |a Gemini. | ||
| 653 | |a Google. | ||
| 653 | |a Matplotlib. | ||
| 653 | |a Pandas. | ||
| 653 | |a Python. | ||
| 653 | |a Seaborn. | ||
| 653 | |a computer science. | ||
| 653 | |a data science. | ||
| 653 | |a data visualization. | ||
| 653 | |a machine learning. | ||
| 776 | 0 | |c EPUB |z 9781501519833 | |
| 776 | 0 | |c print |z 9781501522802 | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781501519796 |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781501519796 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9781501519796/original |
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