Polynomial interpolation is a method of finding a polynomial function that fits a given set of data perfectly. More concretely, suppose we have a set of n+1 distinct points [1]: \[(x_0,y_0), (x_1, y_1

We’ll be working with the set P_n(\mathbb{R}), real polynomials of degree \leq n. Such polynomials can be expressed using n+1 scalar coefficients a_i as follows: \[p(x)=a_0+a_1 x + a_2 x^2 + \cdots +

pycparser is my most widely used open source project (with ~20M daily downloads from PyPI [1]). It's a pure-Python parser for the C programming language, producing ASTs inspired by Python's own. Until

Author added a WebAssembly compiler to Bob, their 15-year-old Scheme implementation project, which already includes Python and C++ VMs.

Review of Fukuyama's political order book & phone phreaking history. Notes difficulty of political science due to limited data points.

mdBook's preprocessor plugin system lets external programs modify book content before rendering, supporting any language to transform Markdown files.

Classic 1988 compiler tutorial translated from Pascal/68000 assembly to Python/WebAssembly to understand its enduring appeal.

WebAssembly's Basic C ABI defines how C programs are represented in WASM, used by Clang and Rust for interoperability between compilation tools.