liveBook · Manning

Code generation

As explained in Geometry for Programmers

Code generation is the automatic translation of a representation or formula into source code in a target programming language.

Code generation turns a solved symbolic formula into source code for a chosen programming language. SymPy performs this translation automatically, avoiding repetitive hand conversion and preserving generalized solutions. section 1.6

From symbolic solution to Python

After solving equations for Va and Vp symbolically, calling pycode(solution) produces Python-compatible code. The same solution can be emitted as JavaScript, Julia, FORTRAN, C, Octave, Matlab, or Rust; latex produces printable mathematical notation. section 1.6

Listing 1.2 Symbolic solution in SymPy
from sympy import *
 
Va, Vp, Vpx, D, t = symbols('Va Vp Vpx D t')   #1
 
solution = solve([
    Vp - Va * Vpx,
    Va * t + Vp * t - D
], (Va, Vp))
 
print(solution)

Inspect the SymPy listing that creates a symbolic solution before translating it into code. section 1.6

How Geometry for Programmers covers it

How deep it goes
Shows API-level translation and output formats, but does not explain code-generation internals.
Examples
Uses SymPy equations for Va and Vp, symbolic output, Python code, and printable LaTeX.
What it assumes
Assumes basic equations and Python familiarity while demonstrating symbolic declarations, solving, and translation.
What you can do after
Build executable formula implementations with SymPy's pycode or language-specific code-generation functions.
How it connects
Connects symbolic mathematics, equation solving, programming languages, and LaTeX.

Also explained in

Compare how 17 books explain code generation →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Geometry for Programmers. The section links point to the parts of the book it draws on.