docs(docs): rebuild with more usage examples

docs/static/mainpage.md

@@ -216,13 +216,33 @@ gridfire::AdaptiveEngineView adaptiveView(baseEngine);
 ### Python Example
 ```python
 import gridfire
+
+
+from fourdst.composition import Composition
+
+symbols = ["H-1", ...]
+X = [0.708, ...]
+
+comp = Composition()
+comp.registerSymbols(symbols)
+comp.setMassFraction(X)
+comp.finalize(true)
 # Initialize GraphEngine with predefined composition
-engine = gridfire.GraphEngine(composition="example_composition")
+engine = gridfire.GraphEngine(comp)
+netIn = gridfire.types.NetIn
+netIn.composition = comp
+netIn.tMax = 1e-3
+netIn.temperature = 1.5e7
+netIn.density = 1.6e2
+netIn.dt0 = 1e-12
+
 # Perform one integration step
-engine.step(dt=1e-3)
-print(engine.abundances)
+netOut = engine.evaluate(netIn)
+print(netOut)
 ```
 
+More detailed python usage can be found [here](usage.md)
+
 ## Common Workflow Example
 
 A representative workflow often composes multiple engine views to balance accuracy, stability, and performance when integrating stiff nuclear networks:
@@ -277,4 +297,4 @@ GridFire integrates with and builds upon several key 4D-STAR libraries:
 - [libcomposition](https://github.com/4D-STAR/libcomposition) ([docs](https://4d-star.github.io/libcomposition/)): Composition management toolkit.
 - [libconfig](https://github.com/4D-STAR/libconfig): Configuration file parsing utilities.
 - [liblogging](https://github.com/4D-STAR/liblogging): Flexible logging framework.
-- [libconstants](https://github.com/4D-STAR/libconstants): Physical constants
+- [libconstants](https://github.com/4D-STAR/libconstants): Physical constants