diff --git a/examples/Cargo.toml b/examples/Cargo.toml
deleted file mode 100644
index 76a2d21..0000000
--- a/examples/Cargo.toml
+++ /dev/null
@@ -1,10 +0,0 @@
-[package]
-name = "example"
-version = "0.1.0"
-authors = ["Julian Gaal <juliangaal@protonmail.com>"]
-edition = "2018"
-
-[dependencies]
-mpu6050 = { path = "../" } 
-i2cdev = "0.4.1"
-linux-embedded-hal = "0.2.2"
diff --git a/examples/main.rs b/examples/linux.rs
similarity index 100%
rename from examples/main.rs
rename to examples/linux.rs
diff --git a/examples/src/main.rs b/examples/src/main.rs
deleted file mode 100644
index ae4386a..0000000
--- a/examples/src/main.rs
+++ /dev/null
@@ -1,52 +0,0 @@
-use mpu6050::*;
-use linux_embedded_hal::{I2cdev, Delay};
-use i2cdev::linux::LinuxI2CError;
-
-fn main() -> Result<(), Mpu6050Error<LinuxI2CError>> {
-    let i2c = I2cdev::new("/dev/i2c-1")
-        .map_err(Mpu6050Error::I2c)?;
-
-    let delay = Delay;
-
-    let mut mpu = Mpu6050::new(i2c, delay);
-    mpu.init()?;
-    mpu.soft_calib(Steps(100))?;
-    mpu.calc_variance(Steps(50))?;
-
-    println!("Calibrated with bias: {:?}", mpu.get_bias().unwrap());
-    println!("Calculated variance: {:?}", mpu.get_variance().unwrap());
-
-    loop {
-        // get roll and pitch estimate
-        let acc = mpu.get_acc_angles()?;
-        println!("r/p: {:?}", acc);
-
-        // get roll and pitch estimate - averaged accross n readings (steps)
-        let acc = mpu.get_acc_angles_avg(Steps(5))?;
-        println!("r/p avg: {:?}", acc);
-
-        // get temp
-        let temp = mpu.get_temp()?;
-        println!("temp: {}c", temp);
-
-        // get temp - averages across n readings (steps)
-        let temp = mpu.get_temp_avg(Steps(5))?;
-        println!("temp avg: {}c", temp);
-
-        // get gyro data, scaled with sensitivity 
-        let gyro = mpu.get_gyro()?;
-        println!("gyro: {:?}", gyro);
-        
-        // get gyro data, scaled with sensitivity - averaged across n readings (steps) 
-        let gyro = mpu.get_gyro_avg(Steps(5))?;
-        println!("gyro avg: {:?}", gyro);
-        
-        // get accelerometer data, scaled with sensitivity
-        let acc = mpu.get_acc()?;
-        println!("acc: {:?}", acc);
-        
-        // get accelerometer data, scaled with sensitivity - averages across n readings (steps)
-        let acc = mpu.get_acc_avg(Steps(5))?;
-        println!("acc avg: {:?}", acc);
-    }
-}