Torrent details for "Campesato O. Python 3 Using DeepSeek 2026" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
11.2 MB
Info Hash:
75906DBC404510323BFBEBFABD7AF7EA2C87EFDE
Added By:
Added:
April 26, 2026, 10:33 a.m.
Stats:
|
(Last updated: April 26, 2026, 10:34 a.m.)
| File | Size |
|---|---|
| Campesato O. Python 3 Using DeepSeek 2026.pdf | 11.2 MB |
Name
DL
Uploader
Size
S/L
Added
-
121.5 MB
[5
/
0]
2023-07-02
| Uploaded by indexFroggy | Size 121.5 MB | Health [ 5 /0 ] | Added 2023-07-02 |
NOTE
SOURCE: Campesato O. Python 3 Using DeepSeek 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format 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
×