Update README.md with comprehensive installation instructions

README.md

@@ -1,2 +1,107 @@
 # Pyraview
-Routines for generating different views of data series (e.g., 1:100, 1:1000, 1:10000 views, etc)
+
+Routines for generating different views of data series (e.g., 1:100, 1:1000, 1:10000 views, etc). The project provides a C++ core library with bindings for MATLAB and Python.
+
+## Installation
+
+### MATLAB
+
+#### Option 1: Toolbox (Recommended)
+1.  Go to the [Releases](../../releases) page.
+2.  Download the `Pyraview.mltbx` file.
+3.  Open MATLAB and double-click the `.mltbx` file to install the toolbox.
+4.  The `pyraview` functions will be available immediately.
+
+#### Option 2: Build from Source
+If you are developing the library or need to modify the source code:
+1.  Open MATLAB.
+2.  Navigate to the `src/matlab` directory.
+3.  Run the build script:
+    ```matlab
+    build_pyraview
+    ```
+    This will compile `pyraview.mex` (or `.mexw64`, `.mexmaci64`, etc.) into the `+pyraview` package directory.
+4.  Add the `src/matlab` directory to your MATLAB path.
+
+**Usage:**
+```matlab
+% Example usage
+status = pyraview.pyraview(data, prefix, steps, nativeRate);
+```
+See `src/matlab/README.md` for more details.
+
+### Python
+
+#### Option 1: Pre-built Binaries (Recommended)
+You can avoid compiling the C++ library by using the pre-built binaries provided in the releases.
+
+1.  **Download the Library**:
+    *   Go to the [Releases](../../releases) page.
+    *   Download the zip file for your OS (e.g., `pyraview-Linux-x64.zip`, `pyraview-Windows-x64.zip`).
+    *   Extract the contents to a folder of your choice (e.g., `~/libs/pyraview`).
+
+2.  **Install the Python Package**:
+    ```bash
+    pip install git+https://github.com/VanHooserLab/Pyraview.git#subdirectory=src/python
+    ```
+    (Or clone the repo and run `pip install .` inside `src/python`).
+
+3.  **Configure Library Path**:
+    Set the `PYRAVIEW_LIB` environment variable to point to the extracted shared library file (`libpyraview.so`, `pyraview.dll`, or `libpyraview.dylib`).
+
+    *   **Linux/macOS:**
+        ```bash
+        export PYRAVIEW_LIB=/path/to/extracted/libpyraview.so
+        ```
+    *   **Windows (PowerShell):**
+        ```powershell
+        $env:PYRAVIEW_LIB="C:\path\to\extracted\pyraview.dll"
+        ```
+
+#### Option 2: Build from Source
+To build the C++ library yourself (requires CMake and a C++ compiler):
+
+1.  **Build the C++ Library**:
+    ```bash
+    mkdir build && cd build
+    cmake ..
+    cmake --build .
+    ```
+    The shared library will be in `build/bin`.
+
+2.  **Install the Python Package**:
+    Navigate to `src/python` and run:
+    ```bash
+    pip install .
+    ```
+
+3.  **Configure Library Path**:
+    Set `PYRAVIEW_LIB` to point to the built library in `build/bin`.
+
+**Usage:**
+```python
+import pyraview
+# See src/python/pyraview/__init__.py for API details
+```
+
+### C++
+
+Pyraview uses CMake for building the core C++ shared library.
+
+**Prerequisites:**
+*   CMake (3.10 or later)
+*   C++ Compiler (supporting C++11)
+
+**Steps:**
+1.  Clone the repository.
+2.  Create a build directory:
+    ```bash
+    mkdir build
+    cd build
+    ```
+3.  Configure and build the project:
+    ```bash
+    cmake ..
+    cmake --build .
+    ```
+    On successful build, the shared library and the `run_tests` executable will be placed in `build/bin`.