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Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A sample authentication service implemented with a server-less architecture, using AWS Lambda to host and execute the code and Amazon DynamoDB as persistent storage. This provides a cost-efficient solution that is scalable and highly available and can be used with Amazon Cognito for Developer Authenticated Identities.

Descriptions of C++17 features, presented mostly in "Tony Tables" (hey, the name wasn't my idea)

  • cpp
  • cpp17
  • tony-tables
  • template-metaprogramming

Data structure and algorithm library for go, designed to provide functions similar to C++ STL

Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.

  • blogs
  • businessintelligence
  • courses
  • data

Tools and packages that are used for countering forensic activities, including encryption, steganography, and anything that modify attributes. This all includes tools to work with anything in general that makes changes to a system for the purposes of hiding information.