docs: Simplify README

Signed-off-by: Sietze van Buuren <[email protected]>

Author: swvanbuuren

README.md

@@ -36,80 +36,11 @@ Refer to the [documentation](https://swvanbuuren.github.io/cubinterpp/) for:
 
 - [Requirements](https://swvanbuuren.github.io/cubinterpp/requirements/)
 - [Usage instructions](https://swvanbuuren.github.io/cubinterpp/usage/)
+  - [Single header file](https://swvanbuuren.github.io/cubinterpp/usage#single-header-library)
+  - [Build from source](https://swvanbuuren.github.io/cubinterpp/usage#build-from-source)
 - [Mathematical background](https://swvanbuuren.github.io/cubinterpp/theory/)
 - [Code reference](https://swvanbuuren.github.io/cubinterpp/reference/)
 
-### Building
-
-To build the header library for usage in Python, it's recommended to use
-[cmake](https://cmake.org/). An appropriate cmake configuration is provided in
-the main [`CMakeLists.txt`](CMakeLists.txt). Prior to compilation, the required
-external libraries are downloaded automatically using the cmake FetchContent
-module. Prior to building, make sure `cmake` is installed and configured with a
-C++ compiler like e.g. [gcc](https://gcc.gnu.org/). In order to create the
-python module, the development python library is also required.
-
-In order to do so on a Debian based system, install `cmake`, `gcc`, `g++` and
-`python3.11-dev` (change the python version depending on your configuration):
-
-```bash
-sudo apt install cmake gcc g++ python3.11-dev
-```
-
-Set the appropriate environment variables (it's recommended to add these lines
-to e.g. your `.bashrc`):
-
-```bash
-export CC=/usr/bin/gcc
-export CXX=/usr/bin/g++
-```
-
-Then create and move into the build directory, configure cmake and build using:
-
-```bash
-mkdir build
-cd build
-cmake ..
-make
-```
-
-This should build `cubinterpp` and automatically copy the library file
-`cubic_spline.*.so` into the `cubinterpp` directory.
-
-### Testing
-
-This library comes with severals [tests](tests). To run all tests, first build
-and then run (while remaining in the `build` directory):
-
-```bash
-ctest -V
-```
-
-### Interpolating and plotting the results
-
-A [python program](cubinterpp/main.py) is provided to compare the three
-interpolation types. Data preparation and visualization is done in python with
-[mlpyqtgraph](https://github.com/swvanbuuren/mlpyqtgraph).
-
-In order to run the python program, it's recommended to [install
-uv](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer)
-and issue:
-
-```bash
-uv run cubinterpp 
-```
-
-This should install all required python dependencies automatically and run the
-python program that does the interpolation and plotting, resulting in the
-comparison plot shown at the top of this document.
-
-### Further reading
-
-Check out the [usage
-instructions](https://swvanbuuren.github.io/cubinterpp/usage/) in the
-[documentation](https://swvanbuuren.github.io/cubinterpp/) for more details and
-examples.
-
 ## License
 
 An MIT style license applies for cubinterpp, see the [LICENSE](LICENSE) file for