[README.md] Add Python to the title.

Author: mmmarinho

dqrobotics/README.md

@@ -1,6 +1,6 @@
 # Introduction
 
-## Kinematic modeling and control of serial-link robotic manipulators using `dqrobotics`: From zero to hero.
+## Kinematic modeling and control of serial-link robotic manipulators using `dqrobotics` Python: From zero to hero.
 
 This executable book contains eight lessons representing serial-link manipulator modeling in dual quaternions using `dqrobobotics` described in [](http://doi.org/10.1109/MRA.2020.2997920). It is a derivative
 work of a [`dqrobotics` MATLAB course](https://github.com/dqrobotics/learning-dqrobotics-in-matlab/tree/master/robotic_manipulators) from Murilo M. Marinho.
@@ -24,4 +24,4 @@ The reader is expected to follow it sequentially.
 | 5      | [](./lesson5/lesson_dq5_robot_control_basics_part1.ipynb)       | The basics of the kinematic control of serial-link robotic manipulators. Forward kinematics model, inverse kinematics model, task-space velocity and position control using a 1-DoF planar robot.                                                            |
 | 6      | [](./lesson6/lesson_dq6_robot_control_basics_part2.ipynb)       | Modeling serial robots using the Denavit-Hartenberg (DH) parameters; the forward kinematics model using the DH parameters; the pose, rotation, translation Jacobians; translation, rotation, and pose task-space controlers; all using a 3-DoF planar robot. |
 | 7      | [](./lesson7/lesson_dq7_robot_control_basics_part3.ipynb)       | Understanding and handling task-space singularities with a 7-DoF planar robot.                                                                                                                                                                               |
-| 8      | [](./lesson8/lesson_dq8_optimization_based_robot_control.ipynb) | Revisiting the topic of kinematic control using mathematical optimization formulation, implement joint-space and task-space constraints using quadratic programming.                                                                                         |
+| 8      | [](./lesson8/lesson_dq8_optimization_based_robot_control.ipynb) | Revisiting the topic of kinematic control using mathematical optimization formulation, implement joint-space and task-space constraints using quadratic programming.                                                                                         |