diff --git a/numpy/dtype/README.md b/numpy/dtype/README.md
index 826dfe8..8bc3839 100644
--- a/numpy/dtype/README.md
+++ b/numpy/dtype/README.md
@@ -1,4 +1,4 @@
-# dtype
+# Available dtype
 {:.no_toc}
 
 <nav markdown="1" class="toc-class">
@@ -12,61 +12,114 @@ A numpy matrix can have differnt dtype or -- in other words -- differnt types of
 
 Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
 
-## Signed integer types​​
+## [Signed integer types​​](https://numpy.org/doc/stable/reference/arrays.scalars.html#sized-aliases)
 
 **Please use numpy.int8, numpy.int16, numpy.int32, and numpy.int64 !!!**
 
-
-* *numpy.int8*: 8-bit signed integer (-128 to 127). Compatible with C char.​
+* *numpy.int8*:
+  * 8-bit signed integer (-128 to 127). Compatible with C char.​
   * *numpy.byte*​
   * Character code 'b'​
 
-* *numpy.int16*: 16-bit signed integer (-32 768 to 32 767). Compatible with C short​
+* *numpy.int16*:
+  * 16-bit signed integer (-32 768 to 32 767). Compatible with C short​
   * *numpy.short​*
   * Character code 'h'​
 
-* *numpy.int32*: 32-bit signed integer (-2 147 483 648 to 2 147 483 647). Compatible with C int​
-
+* *numpy.int32*:
+  * 32-bit signed integer (-2 147 483 648 to 2 147 483 647). Compatible with C int​
   * *numpy.intc​*
   * Character code 'i'​
 
-​* *numpy.int64*: 64-bit signed integer (-9 223 372 036 854 775 808 to 9 223 372 036 854 775 807). ​Compatible with Python int and C long​
+* *numpy.int64*:
+  * 64-bit signed integer (-9 223 372 036 854 775 808 to 9 223 372 036 854 775 807). ​Compatible with Python int and C long​
   * *numpy.intp​*
   * *numpy.int_​*
   * Character code 'l'​
-
-  *numpy.longlong*: Compatible with C long long ​
+  * *numpy.longlong*: Compatible with C long long ​
   * Character code 'q'​
 
 ​
-## Unsigned integer types​​
+## [Unsigned integer types​​](https://numpy.org/doc/stable/reference/arrays.scalars.html#sized-aliases)
 
 **Please use numpy.uint8, numpy.uint16, numpy.uint32, and numpy.uint64 !!!​**
 
-* *numpy.uint8*: 8-bit unsigned integer (0 to 255). Compatible with C unsigned char.​
+* *numpy.uint8*:
+  * 8-bit unsigned integer (0 to 255). Compatible with C unsigned char.​
   * *numpy.ubyte​*
   * Character code 'B'​
 
-* *numpy.uint16*: 16-bit unsigned integer (0 to 65 535). Compatible with C unsigned short.​
+* *numpy.uint16*:
+  * 16-bit unsigned integer (0 to 65 535). Compatible with C unsigned short.​
   * *numpy.ushort​*
   * Character code 'H'​
 
-​* *numpy.uint32*: 32-bit unsigned integer (0 to 4 294 967 295). Compatible with C unsigned int.​
+* *numpy.uint32*:
+  * 32-bit unsigned integer (0 to 4 294 967 295). Compatible with C unsigned int.​
   * *numpy.uintc​*
   * Character code 'I'​
 
-​* *numpy.uint64*: 64-bit unsigned integer (0 to 18 446 744 073 709 551 615). Compatible with C unsigned long​
+* *numpy.uint64*:
+  * 64-bit unsigned integer (0 to 18 446 744 073 709 551 615). Compatible with C unsigned long​
   * numpy.uint​
   * numpy.uintp​
   * Character code 'L'​
-  * numpy.ulonglong: Compatible with C unsigned long long​
+  * *numpy.ulonglong*: Compatible with C unsigned long long​
   * Character code 'Q'
 
+## [Floating-point types](https://numpy.org/doc/stable/reference/arrays.scalars.html#sized-aliases)
+​
+**Please use numpy.float32 and numpy.float64 !!! (And in very special cases numpy.float128)**
+​
+* *numpy.float16*:
+  * 16-bit-precision. ​
+  * *numpy.half*​
+  * floating-point number type: sign bit, 5 bits exponent, 10 bits mantissa.​
+  * Character code 'e'​
+
+* *numpy.float32*:
+  * 32-bit-precision. Compatible with C float​
+  * *numpy.single​*
+  * floating-point number type: sign bit, 8 bits exponent, 23 bits mantissa. ​
+  * Character code 'f'​
+
+* *numpy.float64*:
+  * 64-bit precision. Compatible with Python float and C double. ​
+  * *numpy.double​*
+  * *numpy.float_​*
+  * floating-point number type: sign bit, 11 bits exponent, 52 bits mantissa. ​
+  * Character code 'd'​
+
+* *numpy.float128*:
+  * 128-bit extended-precision floating-point number type.​
+  * *numpy.longdouble​*
+  * *numpy.longfloat​*
+  * Compatible with C long double but not necessarily with IEEE 754 quadruple-precision.​
+  * Character code 'g'
 
 ​
-
-​
-
-​
+## [Complex floating-point types​​](https://numpy.org/doc/stable/reference/arrays.scalars.html#sized-aliases)
+
+**Please use numpy.complex64 and numpy.complex128 !!! (And in very special cases numpy.complex256)​**
+
+* *​numpy.complex64*:
+  * Composed of 2 32-bit-precision floating-point numbers.​
+  * *numpy.singlecomplex​*
+  * *numpy.csingle​*
+  * Character code 'F'​
+
+* *numpy.complex128*:
+  * Composed of 2 64-bit-precision floating-point numbers. Compatible with Python complex. ​
+  * *numpy.cdouble​*
+  * *numpy.cfloat​*
+  * *numpy.complex_​*
+  * Character code 'D'
+
+* *numpy.complex256*:
+  * Composed of 2 128-bit extended-precision floating-point numbers. ​
+  * *numpy.clongdouble​*
+  * *numpy.clongfloat​*
+  * *numpy.longcomplex​*
+  * Character code 'G'
 
 ​