// Comparison
Black Hat Python vs Penetration Testing: Which Should You Read?
Two cybersecurity books on Offensive, compared honestly: who each is for, what each does best, and which to read first.
Python Programming for Hackers and Pentesters
Justin Seitz, Tim Arnold
Justin Seitz and Tim Arnold's hands-on tour of writing offensive tooling in Python: network sniffers, web scrapers, GitHub-based command-and-control, screen capture, keylogging, and Volatility extensions.
Georgia Weidman's lab-driven introduction to pentesting, walking the reader from setting up a target environment through scanning, exploitation, post-exploitation, and reporting.
Read this if
Skip this if
Key takeaways
- Most operational tools you use can be replaced by ~50 lines of Python that do exactly what you need; the book is a series of working examples of that thesis.
- The networking, web-scraping and process-injection chapters individually pay back the cost of the book once you've used the patterns three times.
- The 2nd edition (Python 3, modern libraries) is the one to buy; the first edition's Python 2 code is dated.
- A complete pentest is a small number of repeated motions (recon, find foothold, escalate, pivot, document); Weidman teaches the rhythm before the tooling.
- Lab setup is half the learning; running through the book's Metasploitable-and-Windows-VM lab is what builds the muscle memory the OSCP later assumes.
- Reporting matters as much as exploitation; the book is one of the few intro texts that takes the deliverable seriously.
How they compare
Black Hat Python and Penetration Testing are both rated 4/5 in our catalog. Pick by topic preference and reading style rather than by rating.
Black Hat Python is pitched at intermediate level. Penetration Testing is pitched at beginner level. Read the easier one first if you're not yet comfortable with the topic.
Black Hat Python and Penetration Testing both cover Offensive, Tooling, so reading them in sequence reinforces the same material from different angles.