Security firm Mandiant has released a database that allows any administrative password protected by Microsoft’s NTLM.v1 hash algorithm to be hacked in an attempt to nudge users who continue using the ...
Off-Strip fixture Rio Las Vegas has quietly pulled a breakfast switch. The Kitchen Table is now pouring coffee and daytime cocktails in the former Hash House A Go Go space, leaning into comfort-heavy ...
PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...
Hash tables are one of the oldest and simplest data structures for storing elements and supporting deletions and queries. Invented in 1953, they underly most computational systems. Yet despite their ...
If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...
Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...
The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.
After looking at the recent GoLang update for curiosity, I noticed one standout item. GoLang now uses Swiss Tables for mapping. I'd not heard of this algorithm, so it took a bit of searching to come ...
A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...
Linear probing is a collision resolution strategy. When a collision occurs on insert, we probe the hash table, in a linear, stepwise fashion, to find the next available space in which to store our new ...
Quadratic probing is intended to avoid primary clustering. We probe one step at a time, but our stride varies as the square of the step. Stride values follow the sequence 1, 4, 9, 16, 25, 36, … etc.