mixed predicator types for building logistic regression model

There has a data set, some predicator variables are of categorical types, such as X1={A, B,C}; X2={1, 2, 3}; and other predicator variables are of continuous types, such as X3 can be a real value between 0 and 100. If we want to build a logistic regression model based on these predicator variables, are there any pre-processing procedures required to handle those different variable types?