Аннотация
Python has built-in capabilities to support digital investigation and protect the integrity of evidence during an investigation. In this tutorial, we will explain the fundamental concepts of applying Python in computational (digital) forensics that includes extracting evidence, collecting basic data, and encryption of passwords as required.
![Compilers: Principles, Techniques, and Tools [Second edition]](https://www.rulit.me/data/programs/images/compilers-principles-techniques-and-tools-second-edition_502281.jpg "Compilers: Principles, Techniques and Tools, known to professors, students, and developers worldwide as the \"Dragon Book,\" is available in a new edition. Every chapter has been completely revised to reflect developments in software engineering, programming languages, and computer architecture that...")
![Using Asyncio in Python [Understanding Python’s Asynchronous Programming Features]](https://www.rulit.me/data/programs/images/using-asyncio-in-python-understanding-python-s-asynchronous_606937.jpg "Python 3.4 introduced the asyncio library, and Python 3.5 produced the async and await keywords to use it palatably. These new additions allow so-called asynchronousprogramming.
All of these new features, which I’ll refer to under the single name Asyncio, have been received by the Python...")
Комментарии к книге "Python forensics"