Python 3 Using DeepSeek

Name: Python 3 Using DeepSeek
Brand: CRC Press
SKU: 9781041149521
Price: 15350.0 INR
Availability: InStock

by Oswald Campesato

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ISBN13: 9781041149521
Binding: Hardcover
Subject: N/A
Publisher: CRC Press
Publisher Imprint: CRC Press
Publication Date: May 1, 2026
Pages: 262
Original Price: USD 150.0
Language: English
Edition: 1
Item Weight: 558 grams
BISAC Subject(s): Computer Science

About The Book

This book is your definitive guide to mastering DeepSeek, a leading open-source Large Language Model (LLM), and leveraging its power through practical Python programming. It is structured to build your expertise from foundational Python data structures and object-oriented programming to advanced model deployment.

The initial chapters establish a strong technical base in Python's core features, including comprehensions, iterators, and the OOP paradigm. The focus then shifts entirely to DeepSeek, detailing its innovative Mixture-of-Experts (MoE) architecture, its superior performance on code-centric benchmarks like HumanEval, and its efficiency advantages. You will gain crucial insight into model management, specifically through the concept of quantization and local deployment with tools like Ollama, which is essential for maximizing performance while minimizing resource usage. The final chapter provides numerous, practical Python mini-projects, allowing you to immediately apply DeepSeek's capabilities to a range of real-world tasks from basic web scraping and data visualization to advanced object-oriented programming and linear regression.

Python 3 Using DeepSeek is essential reading for Python developers (intermediate to advanced), machine learning practitioners, and data scientists. It is your guide to integrating high-performing, open-source LLMs into your workflows, particularly for code generation, algorithmic reasoning, and highly efficient local model deployment.

About The Author

Oswald Campesato is a former Lecturer at UC Santa Cruz. He has taught Python courses as well as ML/DL/NLP/RL classes.

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