Update README.md

README.md

@@ -24,12 +24,6 @@ Alternatively some scripts have been included to streamline this process, these
 2. ./build.sh
 3. ./run.sh
 
-Tips for setting up your environment can be found [here](https://classroom.udacity.com/nanodegrees/nd013/parts/40f38239-66b6-46ec-ae68-03afd8a601c8/modules/0949fca6-b379-42af-a919-ee50aa304e6a/lessons/f758c44c-5e40-4e01-93b5-1a82aa4e044f/concepts/23d376c7-0195-4276-bdf0-e02f1f3c665d)
-
-Note that the programs that need to be written to accomplish the project are src/particle_filter.cpp, and particle_filter.h
-
-The program main.cpp has already been filled out, but feel free to modify it.
-
 Here is the main protocol that main.cpp uses for uWebSocketIO in communicating with the simulator.
 
 INPUT: values provided by the simulator to the c++ program
@@ -78,12 +72,6 @@ OUTPUT: values provided by the c++ program to the simulator
 ["best_particle_sense_y"] <= list of sensed y positions
 
 
-Your job is to build out the methods in `particle_filter.cpp` until the simulator output says:
-
-```
-Success! Your particle filter passed!
-```
-
 # Implementing the Particle Filter
 The directory structure of this repository is as follows:
 
@@ -108,9 +96,9 @@ root
     |   particle_filter.h
 ```
 
-The only file you should modify is `particle_filter.cpp` in the `src` directory. The file contains the scaffolding of a `ParticleFilter` class and some associated methods. Read through the code, the comments, and the header file `particle_filter.h` to get a sense for what this code is expected to do.
+The file `particle_filter.cpp` contains the framework of a `ParticleFilter` class and some associated methods. Read through the code, the comments, and the header file `particle_filter.h` to get a sense for what this code is expected to do.
 
-If you are interested, take a look at `src/main.cpp` as well. This file contains the code that will actually be running your particle filter and calling the associated methods.
+The file `src/main.cpp` will actually be running the particle filter and calling the associated methods.
 
 ## Inputs to the Particle Filter
 You can find the inputs to the particle filter in the `data` directory.