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Item #:
23559807
Python: Penetration Testing for Developers
78% of respondents would recommend this to a friend
Item #:
23559807
LSL 2442
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What Stands Out
Developer Focused
Tailored for developers, this resource bridges the gap between coding and security, providing essential penetration testing skills without prior expertise, making security practices accessible and relevant.
Hands-On Approach
Engaging tutorials and practical exercises allow users to implement penetration testing techniques in real-world scenarios, enhancing learning retention and enabling immediate application of skills in development projects.
Comprehensive Coverage
Covers a wide array of penetration testing tools and methodologies, offering thorough insights that equip developers to identify vulnerabilities, thereby significantly improving software security and resilience against threats.
Product Details
- Learn to use Python scripting for penetration testing
- Develop fluency in Python for writing security testing scripts
- Gain knowledge about Metasploit resource files and exploit generation with Python
- Explore wireless traffic and perform wireless attacks using Python programs
- Discover various Python pentesting recipes for different situations
- A comprehensive learning path comprising of the best Packt products focused on Python penetration testing
| Publisher | Packt Publishing |
| Publication date | October 21, 2016 |
| Edition | Digital original |
| Language | English |
| Print length | 666 pages |
| ISBN-10 | 1787128180 |
| ISBN-13 | 978-1787128187 |
| Item Weight | 2.68 pounds (1.22 kg) |
| Dimensions | 7.5 x 1.5 x 9.25 inches (19.1 x 3.8 x 23.5 cm) |
Who Should Buy?
-
Aspiring Security Engineers
Developers looking to enter cybersecurity will gain essential skills in penetration testing using Python effectively.
-
Web Developers
Web developers wanting to improve their understanding of security vulnerabilities and protect their applications will benefit greatly.
-
Data Analysts
Data analysts interested in cybersecurity can leverage Python for penetration testing to secure data handling practices.
-
Beginners in Programming
Complete programming novices may find the topics challenging and overwhelming without foundational knowledge in Python.
Product Description
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Customer Questions & Answers
-
Question:
Do I need to be a Python programmer to take this course?
Answer: Basic knowledge of Python programming is necessary to take this course. -
Question:
Who is this course suitable for?
Answer: This course is ideal for Python programmers or security researchers who have basic knowledge of Python programming and want to learn about penetration testing. -
Question:
What will I learn from this course?
Answer: You will learn how to use Python to sharpen your pentesting skills, exploit weaknesses, gather passive information, and develop complicated header-based attacks.
Software Development Editorial Review
Python: Penetration Testing for Developers is an insightful resource published by Packt Publishing, focusing on equipping developers with the necessary skills to effectively conduct penetration testing. The digital original edition, published on October 21, 2016, spans 666 pages, making it a comprehensive guide. Readers have expressed appreciation for its detailed approach and practical examples, which enhance their understanding of security practices. This book serves as both an educational tool and a reference guide, ideal for beginner to intermediate developers looking to improve their cybersecurity expertise.
Customer Reviews & Ratings
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Pros
- Comprehensive guide to penetration testing concepts
- Practical examples enhance understanding
- Suitable for beginner to intermediate developers
- Well-structured content for easy navigation
- Written in accessible English
Cons
- Some concepts may require prior programming knowledge
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LSL 2442
Order now and get it around Friday, October 09
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Features & Benefits
- Develop pentesting skills with Python
- Learn to write sharper scripts for security testing
- Get familiar with powerful security tools
- Exploit weaknesses with Python
- Gather passive information for website attacks
- Develop complicated header-based attacks
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