misc

Author: jstac

lectures/numba.md

@@ -60,18 +60,12 @@ Numba compiles functions to native machine code instructions at runtime.
 
 When it succeeds, the result is performance comparable to compiled C or Fortran.
 
-In addition, Numba can do useful tricks such as {ref}`multithreading`.
+In addition, Numba can do useful tricks such as {ref}`multithreading <multithreading>`.
 
 This lecture introduces the core ideas.
 
-(numba_link)=
-## {index}`Compiling Functions <single: Compiling Functions>`
 
-```{index} single: Python; Numba
-```
-
-{note}
-```
+```{note}
 Some readers might be curious about the relationship between Numba and [Julia](https://julialang.org/),
 which contains its own JIT compiler.  While the two compilers are similar in
 many ways, Numba is less ambitious, attempting only to compile a small subset of
@@ -81,6 +75,14 @@ good at what it does.
 ```
 
 
+
+(numba_link)=
+## {index}`Compiling Functions <single: Compiling Functions>`
+
+```{index} single: Python; Numba
+```
+
+
 (quad_map_eg)=
 ### An Example