CyberSecurity Summary

998 Episodio

1. Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

   Pubblicato: 16/05/2025
2. Python for Scientists

   Pubblicato: 16/05/2025
3. Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)

   Pubblicato: 15/05/2025
4. Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python

   Pubblicato: 15/05/2025
5. Practical Julia: A Hands-On Introduction for Scientific Minds

   Pubblicato: 14/05/2025
6. Practical Ansible: Learn how to automate infrastructure, manage configuration, and deploy applications

   Pubblicato: 14/05/2025
7. Offensive Countermeasures: The Art of Active Defense

   Pubblicato: 12/05/2025
8. Microsoft Defender for Cloud

   Pubblicato: 12/05/2025
9. Professional JavaScript for Web Developers

   Pubblicato: 11/05/2025
10. Mastering Linux Security and Hardening: A practical guide to protecting your Linux system from cyber attacks

    Pubblicato: 11/05/2025
11. Mastering Python Networking: Utilize Python packages and frameworks for network automation, monitoring, cloud, and management

    Pubblicato: 10/05/2025
12. JavaScript for Web Developers: Understanding the Basics

    Pubblicato: 10/05/2025
13. Visual Data Insights Using SAS ODS Graphics: A Guide to Communication-Effective Data Visualization

    Pubblicato: 09/05/2025
14. Learning Vue: Core Concepts and Practical Patterns for Reusable, Composable, and Scalable User Interfaces

    Pubblicato: 09/05/2025
15. Learning Digital Identity: Design, Deploy, and Manage Identity Architectures

    Pubblicato: 08/05/2025
16. Go Fundamentals: Gopher Guides

    Pubblicato: 08/05/2025
17. Extreme Privacy: What It Takes to Disappear

    Pubblicato: 07/05/2025
18. Digital Forensics and Incident Response: Incident response tools and techniques for effective cyber threat response, 3rd Edition

    Pubblicato: 07/05/2025
19. Design for Developers

    Pubblicato: 06/05/2025
20. Deep Learning with Python

    Pubblicato: 06/05/2025