GPT-4 for Developers
Series: MLI Generative AI Series;
- Publisher's listprice EUR 49.95
-
21 188 Ft (20 179 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 5% (cc. 1 059 Ft off)
- Discounted price 20 129 Ft (19 170 Ft + 5% VAT)
21 188 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Mercury Learning and Information
- Date of Publication 4 January 2024
- ISBN 9781501522482
- Binding Paperback
- No. of pages215 pages
- Size 0x0x0 mm
- Weight 325 g
- Language English
- Illustrations 20 Illustrations, black & white; 5 Tables, black & white 576
Categories
Long description:
- Extensive Python 3.x code samples generated using ChatGPT and GPT-4, covering diverse programming tasks and challenges.
- Comprehensive exploration of data visualization techniques using popular Python libraries such as Matplotlib and Seaborn.
This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading.
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