Torrent details for "Deitel P. Python for Programmers with Big Data and AI Case Studi…" 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:
88.8 MB
Info Hash:
6232A780E6914776942CD86F0B5AF8196BE2CE93
Added By:
Added:
May 19, 2025, 12:04 p.m.
Stats:
|
(Last updated: May 22, 2025, 2:43 p.m.)
| File | Size |
|---|---|
| Code_2019.zip | 6.4 MB |
| Code_2022.zip | 15.7 MB |
| Deitel P. Python for Programmers with Big Data and AI Case Studies 2019.pdf | 17.3 MB |
| Deitel P. Intro to Python for Computer Science and Data Science...2022.pdf | 49.3 MB |
Name
DL
Uploader
Size
S/L
Added
-
154.2 MB
[9
/
4]
2023-07-01
| Uploaded by indexFroggy | Size 154.2 MB | Health [ 9 /4 ] | Added 2023-07-01 |
-
46.8 MB
[24
/
0]
2023-12-09
| Uploaded by indexFroggy | Size 46.8 MB | Health [ 24 /0 ] | Added 2023-12-09 |
-
299.2 MB
[12
/
2]
2024-04-23
| Uploaded by indexFroggy | Size 299.2 MB | Health [ 12 /2 ] | Added 2024-04-23 |
-
215.9 MB
[0
/
5]
2023-07-01
| Uploaded by indexFroggy | Size 215.9 MB | Health [ 0 /5 ] | Added 2023-07-01 |
NOTE
SOURCE: Deitel P. Python for Programmers with Big Data and AI Case Studies 2019
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format
The professional programmer’s Deitel guide to Pythonwith introductory artificial intelligence case studies
Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.
In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1—5 and a few key parts of Chapters 6—7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11—16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM Watson, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop, Spark and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google Translate, IBM Watson, Microsoft Azure, OpenMapQuest, PubNub and more
×


