Abstract: The Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem with applications in logistics, transportation, and network design. Traditional approaches, ...

The Thrift Savings Plan (TSP) has long served as a cornerstone of retirement savings for federal employees and members of the uniformed services. As retirement planning becomes more complex, TSP ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

Starting January 1, 2026, Federal employees and retirees will be able to convert money from their traditional Thrift Savings Plan accounts to a Roth TSP account. Federal employees can make their ...

The Insurance Institute for Highway Safety first started releasing crash-test ratings in 1995 and introduced the TSP rating in 2006. To get a TSP rating in 2025, vehicles must earn: A rating of ...

Sen. Tim Kaine, D-Va., this week introduced new legislation aimed at making it easier for federal workers to take advantage of the federal government’s 401(k)-style retirement savings program to help ...

The 2025 Florida Python Challenge, a 10-day competition to remove invasive Burmese pythons, will run from July 11-20. $25,000 in prizes will be awarded, including $10,000 for most pythons caught.

Lots of microcontrollers will accept Python these days, with CircuitPython and MicroPython becoming ever more popular in recent years. However, there’s now a new player in town. Enter PyXL, a project ...

Abstract: In recent years, the proposal and development of algorithms have been accelerating, and algorithms with various purposes, principles, simplicity, complexity, and sources have been applied to ...