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Source channel @githubtrending · Post #15552 · Mar 10

#java#digital_forensics#forensic#recovery IPED is a free, open-source Java tool from Brazilian Federal Police for processing and analyzing digital evidence from crime scenes or corporate probes. It handles huge cases fast—up to 400GB/hour and 135 million items—with features like data carving, hashing, regex searches for wallets/emails, face/image matching, timelines, GPS maps, OCR, and browser history parsing. Runs on Windows/Linux from USB drives with an easy interface. You benefit by getting powerful, stable forensics without cost, saving time on large investigations. https://github.com/sepinf-inc/IPED

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djangoproject

@djangoproject · Post #574 · 02/25/2018, 02:34 PM

http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort

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djangoproject

@djangoproject · Post #153 · 09/03/2016, 08:20 PM

http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.