The professional world has pretty much lived by the unspoken rule that Microsoft Excel is the essential foundation for anything numerical. It's universally accessible and really powerful for simple ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

This article is an introductory guide for those who are interested in quantitative analysis or system trading but are completely new to programming (Python). It explains the steps to set up an ...

Here is a good example of CSP at work. Imagine two BPSK signals with different symbol rates and slightly different center frequencies. Looking at the combined BPSK signals - created with mksig.py -d, ...

Spread the love“`html As Python has surged in popularity among developers and data scientists, so has the importance of managing packages efficiently. At the heart of this management lies pip, the ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

Configurable behavioral macromodels for amplifiers — voltage op-amps, transimpedance (TIA), and transconductance (Gm) blocks — with one shared equation set across Python, ngspice, and Cadence Spectre.

The PROBLEM Solver is an open source Python implementation of the proton radiography reconstruction algorithm of Bott et al. (2017) 1. The project currently includes two example problems to ...