Author: WOW! eBook

Pro Freeware and Open Source Solutions for Business: Money-Saving Options for Small Enterprises, 2nd Edition 0

Pro Freeware and Open Source Solutions for Business, 2nd Edition

eBook Details: Paperback: 292 pages Publisher: WOW! eBook; 2nd edition (November 18, 2022) Language: English ISBN-10: 1484288408 ISBN-13: 978-1484288405 eBook Description: Pro Freeware and Open Source Solutions for Business: Money-Saving Options for Small Enterprises, 2nd Edition This book will point the way to numerous free, low-cost, and open-source software solutions that...

Pandas for Everyone: Python Data Analysis, 2nd Edition 0

Pandas for Everyone: Python Data Analysis, 2nd Edition

eBook Details: Paperback: 512 pages Publisher: WOW! eBook; 2nd edition (January 1, 2023) Language: English ISBN-10: 0137891156 ISBN-13: 978-0137891153 eBook Description: Pandas for Everyone: Python Data Analysis, 2nd Edition: Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using...

Windows 11 All-in-One For Dummies 0

Windows 11 All-in-One For Dummies

eBook Details: Paperback: 896 pages Publisher: WOW! eBook (March 22, 2022) Language: English ISBN-10: 1119858690 ISBN-13: 978-1119858690 eBook Description: Windows 11 All-in-One For Dummies: Get more out of your Windows 11 computer with easy-to-follow advice Powering 75% of the PCs on the planet, Microsoft Windows is capable of extraordinary things. And you...

Troubleshooting and Supporting Windows 11 1

Troubleshooting and Supporting Windows 11

eBook Details: Paperback: 711 pages Publisher: WOW! eBook (November 22, 2022) Language: English ISBN-10: 1484287274 ISBN-13: 978-1484287279 eBook Description: Troubleshooting and Supporting Windows 11: Creating Robust, Reliable, Sustainable, and Secure Systems Diagnose, troubleshoot and repair any type of problems on your PC from startup and file access to cloud services and...

Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques 0

Applied Recommender Systems with Python

eBook Details: Paperback: 261 pages Publisher: WOW! eBook (November 22, 2022) Language: English ISBN-10: 1484289536 ISBN-13: 978-1484289532 eBook Description: Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques This Applied Recommender Systems with Python book will teach you how to build recommender systems with machine learning...