Numba riddance

adresses #425 (closed)

• removes numba dependency/usage from saqc
• adds replacement mechanics to make up for performance loss
• see #425 (closed) for an overview over the loss-trade offs (witch are fairly minimal to non-existant in focus use-cases)

docs/cookbooks/DriftDetection.rst

@@ -85,7 +85,7 @@ The steps of the algorithm are the following:
 * Calculate the distances :math:`d(x_i,x_j)` for all timeseries :math:`x_i` that are to be clustered with a metric specified by the user
 * Calculate a dendogram using a hierarchical linkage algorithm, specified by the user.
 * Flatten the dendogram at the level, the agglomeration costs exceed the value given by a spreading norm, specified by the user
-* check if there is a cluster containing more than a certain percentage of variables (percentage specified by the user).
+* check if there is a cluster containing more than a certain percentage of variables as specified by the user.
    * if yes: flag all the variables that are not in that cluster
    * if no: flag nothing