Made the path more specific

S2_IMU/S2_IMU.ipynb

@@ -96,7 +96,7 @@
     "In the cell below, a basic script that prints the outputs from `ICM20948.py` is provided.\n",
     "\n",
     "1. Open a Python editor on the RP to start a new Python3 script\n",
-    "2. **Save the script in a new folder: `Documents/Lab2/IMU_test.py`**\n",
+    "2. **Save the script in a new folder: `home/pbl/Documents/Lab2/IMU_test.py`**\n",
     "3. To demonstrate that the device functions, we will start with an example code that read the values from `ICM20948.py`. Copy the code below to your script and run it. You can stop the script with typing `Ctrl+C` in the Shell window. "
    ]
   },
@@ -151,7 +151,7 @@
    "source": [
     "## 4. Create an Interface to Visualize the IMU's data <a class=\"anchor\" id=\"Ch4\"></a>\n",
     "\n",
-    "Because it is hard to check whether the numbers that are printed by `ICM20948.py` make sense, we will create a GUI that visualizes (plots) the IMU's data in realtime. **Create a new script: `Documents/Lab2/IMU_animation.py`**. To start, you can copy the contents of the script `IMU_test.py` to this new script and add the interface to it.  \n",
+    "Because it is hard to check whether the numbers that are printed by `ICM20948.py` make sense, we will create a GUI that visualizes (plots) the IMU's data in realtime. **Create a new script: `home/pbl/Documents/Lab2/IMU_animation.py`**. To start, you can copy the contents of the script `IMU_test.py` to this new script and add the interface to it.  \n",
     "\n",
     "> 🏆 **Challenge `S2.4`**: Create an interface that visualizes the running data plot while capturing. You can use the `IMU_test.py` script that is provided as a start. \n",
     ">\n",
@@ -205,7 +205,7 @@
     "\n",
     "In the previous section, you extracted and plotted live IMU data using `matplotlib`. However, we cannot analyse data if this isn't saved somewhere.\n",
     "\n",
-    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `Documents/Lab2/IMU_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
+    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `home/pbl/Documents/Lab2/IMU_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
     "\n",
     "> 🏆 **Challenge `S2.5.2a`**: Go through the [X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb) and [X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb) \"eXtra Content\" materials.\n",
     ">\n",
@@ -214,7 +214,7 @@
     "> - Combine both techniques to write your data to a *timestamped* CSV file\n",
     ">\n",
     ">\n",
-    "> 🏆 **Challenge `S2.5.2b`**: **Create a new script**: `Documents/Lab2/IMU_logging_data.py`. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
+    "> 🏆 **Challenge `S2.5.2b`**: **Create a new script: `home/pbl/Documents/Lab2/IMU_logging_data.py`**. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
     ">\n",
     "> - Modify the code you have written up to now to generate a timestamped CSV filename (e.g. `$yourpath$/output_$timestamp$.csv`). Create a list (or other data type) and append a row of IMU data each time new datapoints are generated by the loop. \n",
     "> - Write the entire data to CSV once the program stops. \n",

S3_ForcePlate/S3_ForcePlate.ipynb

@@ -299,7 +299,7 @@
    "source": [
     "## 4. Create an Animated Plot to Visualize the Signals <a class=\"anchor\" id=\"Ch4\"></a>\n",
     "\n",
-    "Since it is hard to check whether the numbers that are printed make sense, we will create an interface that plots the outputted numbers. Let's create a simple interface with which we can see a running data plot while capturing. **Create a new script: `Documents/Lab3/FP_animation.py`.** To start, you can copy the contents of the script `simple_read_test.py` to this new script and add the interface to it. \n",
+    "Since it is hard to check whether the numbers that are printed make sense, we will create an interface that plots the outputted numbers. Let's create a simple interface with which we can see a running data plot while capturing. **Create a new script: `home/pbl/Documents/Lab3/FP_animation.py`.** To start, you can copy the contents of the script `simple_read_test.py` to this new script and add the interface to it. \n",
     "\n",
     "> 🏆 **Challenge `S3.4`**: Create an animated plot that visualizes your force plate signals.\n",
     ">\n",
@@ -370,16 +370,16 @@
     "\n",
     "In the previous sections you have extracted and plotted live force plate data using the libraries. However, we cannot analyse data if this isn't saved somewhere.\n",
     "\n",
-    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `Documents/Lab3/FP_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
+    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `home/pbl/Documents/Lab3/FP_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
     "\n",
     "> 🏆 **Challenge `S3.6a`**: Go through the [X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb) and [X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb) \"eXtra Content\" materials.\n",
     ">\n",
     "> - After going through [X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb), you should know how to write CSV files\n",
     "> - After going through [X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb), you should know how to generate timestamped file names\n",
     "> - Combine both techniques to write your data to a *timestamped* CSV file\n",
     ">\n",
-    "> 🏆 **Challenge `S3.6b`**: **Create a new script**:\n",
-    "`Documents/Lab3/FP_logging_data.py`. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
+    "> 🏆 **Challenge `S3.6b`**: **Create a new script:\n",
+    "`home/pbl/Documents/Lab3/FP_logging_data.py`**. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
     "> \n",
     "> - Modify the code you have written up to now to generate a timestamped CSV filename (e.g. `$yourpath$/output_$timestamp$.csv`). Create a list (or other data type) and append a row of force plate data each time new datapoints are generated by the loop. \n",
     "> - Write the entire data to CSV once the program stops. \n",

S4_EMG/S4_EMG.ipynb

@@ -89,8 +89,8 @@
    "source": [
     "## 3. Control the EMG with Python code <a id=\"Ch3\"></a>\n",
     "\n",
-    "1. Open a Python editor on the RP to start a new Python3 script\n",
-    "2. **Save the script in a new folder: `Documents/Lab4/EMG_test.py`**\n",
+    "1. Open a Python editor on the RP to start a new Python script\n",
+    "2. **Save the script in a new folder: `home/pbl/Documents/Lab4/EMG_test.py`**\n",
     "3. To demonstrate that the device functions, we will start with a simple example that reads the ADC channel values at a single instance."
    ]
   },
@@ -213,7 +213,7 @@
    "source": [
     "## 4. Create an Interface to visualize the EMG data <a id=\"Ch4\"></a>\n",
     "\n",
-    "Now that we have seen the first outputs of the device, let's create a simple interface with which we can start and stop the measurement and see a running data plot while capturing. **Create a new script: `Documents/Lab4/EMG_animation.py`.** To start, you can copy the contents of the script `EMG_test.py` to this new script and add the interface to it. \n",
+    "Now that we have seen the first outputs of the device, let's create a simple interface with which we can start and stop the measurement and see a running data plot while capturing. **Create a new script: `home/pbl/Documents/Lab4/EMG_animation.py`.** To start, you can copy the contents of the script `EMG_test.py` to this new script and add the interface to it. \n",
     "\n",
     "> 🏆 **Challenge `S4.4`**: Create an interface that visualizes the running data plot while capturing.\n",
     ">\n",
@@ -278,7 +278,7 @@
     "\n",
     "In the previous sections you have extracted and plotted live EMG data using the ADS1115 library and `matplotlib`. However, we cannot analyse data if this isn't saved somewhere.\n",
     "\n",
-    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `Documents/Lab4/EMG_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
+    "To do this, you are going to need to know how to generate unique timestamped filenames ([X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb)) and how to write to CSV files ([X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb)). **You will then produce a new python script, `home/pbl/Documents/Lab4/EMG_logging_data.py`, that writes your output values (and a timestamp) to a CSV file.**\n",
     "\n",
     "> 🏆 **Challenge `S4.5.2a`**: Go through the [X1](../X1_WritingCSVFiles/X1_WritingCSVFiles.ipynb) and [X2](../X2_GeneratingTimestampedFilenames/X2_GeneratingTimestampedFilenames.ipynb) \"eXtra Content\" materials.\n",
     ">\n",
@@ -287,7 +287,7 @@
     "> - Combine both techniques to write your data to a *timestamped* CSV file\n",
     ">\n",
     ">\n",
-    "> 🏆 **Challenge `S2.5.2b`**: **Create a new script**: `Documents/Lab4/EMG_logging_data.py`. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
+    "> 🏆 **Challenge `S2.5.2b`**: **Create a new script: `home/pbl/Documents/Lab4/EMG_logging_data.py`**. This script should create a timestamped CSV file containing the raw data. We do this separately from the animation script, because the animation slows our script down. \n",
     ">\n",
     "> - Modify the code you have written up to now to generate a timestamped CSV filename (e.g. `$yourpath$/output_$timestamp$.csv`). Create a list (or other data type) and append a row of EMG data each time new datapoints are generated by the loop. \n",
     "> - Write the entire data to CSV once the program stops. \n",