diff --git a/docs/source/docs/apriltag-pipelines/multitag.md b/docs/source/docs/apriltag-pipelines/multitag.md
index 102b36ce1..e70c198be 100644
--- a/docs/source/docs/apriltag-pipelines/multitag.md
+++ b/docs/source/docs/apriltag-pipelines/multitag.md
@@ -24,7 +24,7 @@ This multi-target pose estimate can be accessed using PhotonLib. We suggest usin
 ```{eval-rst}
 .. tab-set-code::
 
-    .. code-block:: java
+    .. code-block:: Java
 
         var result = camera.getLatestResult();
         if (result.getMultiTagResult().estimatedPose.isPresent) {
@@ -38,6 +38,11 @@ This multi-target pose estimate can be accessed using PhotonLib. We suggest usin
         if (result.MultiTagResult().result.isPresent) {
           frc::Transform3d fieldToCamera = result.MultiTagResult().result.best;
         }
+
+    .. code-block:: Python
+
+        # TODO
+
 ```
 
 :::{note}
diff --git a/docs/source/docs/installation/networking.md b/docs/source/docs/installation/networking.md
index fd46ad387..9c3594bd9 100644
--- a/docs/source/docs/installation/networking.md
+++ b/docs/source/docs/installation/networking.md
@@ -44,13 +44,17 @@ If you would like to access your Ethernet-connected vision device from a compute
 ```{eval-rst}
 .. tab-set-code::
 
-    .. code-block:: java
+    .. code-block:: Java
 
         PortForwarder.add(5800, "photonvision.local", 5800);
 
     .. code-block:: C++
 
         wpi::PortForwarder::GetInstance().Add(5800, "photonvision.local", 5800);
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 :::{note}
diff --git a/docs/source/docs/integration/advancedStrategies.md b/docs/source/docs/integration/advancedStrategies.md
index 164d1756a..589a10a3a 100644
--- a/docs/source/docs/integration/advancedStrategies.md
+++ b/docs/source/docs/integration/advancedStrategies.md
@@ -39,7 +39,7 @@ A simple way to use a pose estimate is to activate robot functions automatically
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       Pose3d robotPose;
       boolean launcherSpinCmd;
diff --git a/docs/source/docs/programming/photonlib/controlling-led.md b/docs/source/docs/programming/photonlib/controlling-led.md
index 34649ddfd..599769817 100644
--- a/docs/source/docs/programming/photonlib/controlling-led.md
+++ b/docs/source/docs/programming/photonlib/controlling-led.md
@@ -4,13 +4,17 @@ You can control the vision LEDs of supported hardware via PhotonLib using the `s
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Blink the LEDs.
       camera.setLED(VisionLEDMode.kBlink);
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Blink the LEDs.
       camera.SetLED(photonlib::VisionLEDMode::kBlink);
+
+    .. code-block:: Python
+
+        # TODO
 ```
diff --git a/docs/source/docs/programming/photonlib/driver-mode-pipeline-index.md b/docs/source/docs/programming/photonlib/driver-mode-pipeline-index.md
index 2b9444dc2..2ae34447d 100644
--- a/docs/source/docs/programming/photonlib/driver-mode-pipeline-index.md
+++ b/docs/source/docs/programming/photonlib/driver-mode-pipeline-index.md
@@ -9,7 +9,7 @@ You can use the `setDriverMode()`/`SetDriverMode()` (Java and C++ respectively)
 ```{eval-rst}
 .. tab-set-code::
 
-    .. code-block:: java
+    .. code-block:: Java
 
         // Set driver mode to on.
         camera.setDriverMode(true);
@@ -18,6 +18,10 @@ You can use the `setDriverMode()`/`SetDriverMode()` (Java and C++ respectively)
 
         // Set driver mode to on.
         camera.SetDriverMode(true);
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 ## Setting the Pipeline Index
@@ -27,7 +31,7 @@ You can use the `setPipelineIndex()`/`SetPipelineIndex()` (Java and C++ respecti
 ```{eval-rst}
 .. tab-set-code::
 
-    .. code-block:: java
+    .. code-block:: Java
 
         // Change pipeline to 2
         camera.setPipelineIndex(2);
@@ -36,6 +40,10 @@ You can use the `setPipelineIndex()`/`SetPipelineIndex()` (Java and C++ respecti
 
         // Change pipeline to 2
         camera.SetPipelineIndex(2);
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 ## Getting the Pipeline Latency
@@ -44,15 +52,19 @@ You can also get the pipeline latency from a pipeline result using the `getLaten
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get the pipeline latency.
       double latencySeconds = result.getLatencyMillis() / 1000.0;
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Get the pipeline latency.
       units::second_t latency = result.GetLatency();
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 :::{note}
diff --git a/docs/source/docs/programming/photonlib/getting-target-data.md b/docs/source/docs/programming/photonlib/getting-target-data.md
index f22e83755..ceea28a89 100644
--- a/docs/source/docs/programming/photonlib/getting-target-data.md
+++ b/docs/source/docs/programming/photonlib/getting-target-data.md
@@ -20,7 +20,7 @@ The `PhotonCamera` class has two constructors: one that takes a `NetworkTable` a
         :language: c++
         :lines: 42-43
 
-     .. code-block:: python
+     .. code-block:: Python
 
          # Change this to match the name of your camera as shown in the web ui
          self.camera = PhotonCamera("your_camera_name_here")
@@ -51,7 +51,7 @@ Use the `getLatestResult()`/`GetLatestResult()` (Java and C++ respectively) to o
          :language: c++
          :lines: 35-36
 
-     .. code-block:: python
+     .. code-block:: Python
 
          # Query the latest result from PhotonVision
          result = self.camera.getLatestResult()
@@ -69,17 +69,17 @@ Each pipeline result has a `hasTargets()`/`HasTargets()` (Java and C++ respectiv
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Check if the latest result has any targets.
       boolean hasTargets = result.hasTargets();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Check if the latest result has any targets.
       bool hasTargets = result.HasTargets();
 
-   .. code-block:: python
+   .. code-block:: Python
 
      # Check if the latest result has any targets.
       hasTargets = result.hasTargets()
@@ -99,17 +99,17 @@ You can get a list of tracked targets using the `getTargets()`/`GetTargets()` (J
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get a list of currently tracked targets.
       List<PhotonTrackedTarget> targets = result.getTargets();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Get a list of currently tracked targets.
       wpi::ArrayRef<photonlib::PhotonTrackedTarget> targets = result.GetTargets();
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # Get a list of currently tracked targets.
       targets = result.getTargets()
@@ -121,18 +121,18 @@ You can get the {ref}`best target <docs/reflectiveAndShape/contour-filtering:Con
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get the current best target.
       PhotonTrackedTarget target = result.getBestTarget();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Get the current best target.
       photonlib::PhotonTrackedTarget target = result.GetBestTarget();
 
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO - Not currently supported
 
@@ -149,7 +149,7 @@ You can get the {ref}`best target <docs/reflectiveAndShape/contour-filtering:Con
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get information from target.
       double yaw = target.getYaw();
@@ -159,7 +159,7 @@ You can get the {ref}`best target <docs/reflectiveAndShape/contour-filtering:Con
       Transform2d pose = target.getCameraToTarget();
       List<TargetCorner> corners = target.getCorners();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Get information from target.
       double yaw = target.GetYaw();
@@ -169,7 +169,7 @@ You can get the {ref}`best target <docs/reflectiveAndShape/contour-filtering:Con
       frc::Transform2d pose = target.GetCameraToTarget();
       wpi::SmallVector<std::pair<double, double>, 4> corners = target.GetCorners();
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # Get information from target.
       yaw = target.getYaw()
@@ -193,7 +193,7 @@ All of the data above (**except skew**) is available when using AprilTags.
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get information from target.
       int targetID = target.getFiducialId();
@@ -201,7 +201,7 @@ All of the data above (**except skew**) is available when using AprilTags.
       Transform3d bestCameraToTarget = target.getBestCameraToTarget();
       Transform3d alternateCameraToTarget = target.getAlternateCameraToTarget();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Get information from target.
       int targetID = target.GetFiducialId();
@@ -209,7 +209,7 @@ All of the data above (**except skew**) is available when using AprilTags.
       frc::Transform3d bestCameraToTarget = target.getBestCameraToTarget();
       frc::Transform3d alternateCameraToTarget = target.getAlternateCameraToTarget();
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # Get information from target.
       targetID = target.getFiducialId()
@@ -227,7 +227,7 @@ Images are stored within the PhotonVision configuration directory. Running the "
 ```{eval-rst}
 .. tab-set-code::
 
-    .. code-block:: java
+    .. code-block:: Java
 
       // Capture pre-process camera stream image
       camera.takeInputSnapshot();
@@ -243,7 +243,7 @@ Images are stored within the PhotonVision configuration directory. Running the "
       // Capture post-process camera stream image
       camera.TakeOutputSnapshot();
 
-    .. code-block:: python
+    .. code-block:: Python
 
       # Capture pre-process camera stream image
       camera.takeInputSnapshot()
diff --git a/docs/source/docs/programming/photonlib/robot-pose-estimator.md b/docs/source/docs/programming/photonlib/robot-pose-estimator.md
index 2e288f3fc..b878be271 100644
--- a/docs/source/docs/programming/photonlib/robot-pose-estimator.md
+++ b/docs/source/docs/programming/photonlib/robot-pose-estimator.md
@@ -14,16 +14,20 @@ The API documentation can be found in here: [Java](https://github.wpilib.org/all
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // The field from AprilTagFields will be different depending on the game.
       AprilTagFieldLayout aprilTagFieldLayout = AprilTagFields.k2024Crescendo.loadAprilTagLayoutField();
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // The parameter for LoadAPrilTagLayoutField will be different depending on the game.
       frc::AprilTagFieldLayout aprilTagFieldLayout = frc::LoadAprilTagLayoutField(frc::AprilTagField::k2024Crescendo);
 
+    .. code-block:: Python
+
+        # TODO
+
 ```
 
 ## Creating a `PhotonPoseEstimator`
@@ -46,7 +50,7 @@ The PhotonPoseEstimator has a constructor that takes an `AprilTagFieldLayout` (s
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       //Forward Camera
       cam = new PhotonCamera("testCamera");
@@ -55,7 +59,7 @@ The PhotonPoseEstimator has a constructor that takes an `AprilTagFieldLayout` (s
       // Construct PhotonPoseEstimator
       PhotonPoseEstimator photonPoseEstimator = new PhotonPoseEstimator(aprilTagFieldLayout, PoseStrategy.CLOSEST_TO_REFERENCE_POSE, cam, robotToCam);
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Forward Camera
       std::shared_ptr<photonlib::PhotonCamera> cameraOne =
@@ -76,6 +80,10 @@ The PhotonPoseEstimator has a constructor that takes an `AprilTagFieldLayout` (s
 
       photonlib::RobotPoseEstimator estimator(
           aprilTags, photonlib::CLOSEST_TO_REFERENCE_POSE, cameras);
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 ## Using a `PhotonPoseEstimator`
@@ -88,7 +96,7 @@ Calling `update()` on your `PhotonPoseEstimator` will return an `EstimatedRobotP
       :language: java
       :lines: 85-88
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       std::pair<frc::Pose2d, units::millisecond_t> getEstimatedGlobalPose(
           frc::Pose3d prevEstimatedRobotPose) {
@@ -102,6 +110,10 @@ Calling `update()` on your `PhotonPoseEstimator` will return an `EstimatedRobotP
           return std::make_pair(frc::Pose2d(), 0_ms);
         }
       }
+
+    .. code-block:: Python
+
+        # TODO
 ```
 
 You should be updating your [drivetrain pose estimator](https://docs.wpilib.org/en/latest/docs/software/advanced-controls/state-space/state-space-pose-estimators.html) with the result from the `RobotPoseEstimator` every loop using `addVisionMeasurement()`. TODO: add example note
diff --git a/docs/source/docs/programming/photonlib/using-target-data.md b/docs/source/docs/programming/photonlib/using-target-data.md
index ed27689e3..6a917cdc9 100644
--- a/docs/source/docs/programming/photonlib/using-target-data.md
+++ b/docs/source/docs/programming/photonlib/using-target-data.md
@@ -8,15 +8,15 @@ A `PhotonUtils` class with helpful common calculations is included within `Photo
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Calculate robot's field relative pose
       Pose3d robotPose = PhotonUtils.estimateFieldToRobotAprilTag(target.getBestCameraToTarget(), aprilTagFieldLayout.getTagPose(target.getFiducialId()), cameraToRobot);
-   .. code-block:: c++
+   .. code-block:: C++
 
      //TODO
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 ```
@@ -27,19 +27,19 @@ You can get your robot's `Pose2D` on the field using various camera data, target
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Calculate robot's field relative pose
       Pose2D robotPose = PhotonUtils.estimateFieldToRobot(
         kCameraHeight, kTargetHeight, kCameraPitch, kTargetPitch, Rotation2d.fromDegrees(-target.getYaw()), gyro.getRotation2d(), targetPose, cameraToRobot);
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Calculate robot's field relative pose
       frc::Pose2D robotPose = photonlib::EstimateFieldToRobot(
         kCameraHeight, kTargetHeight, kCameraPitch, kTargetPitch, frc::Rotation2d(units::degree_t(-target.GetYaw())), frc::Rotation2d(units::degree_t(gyro.GetRotation2d)), targetPose, cameraToRobot);
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 
@@ -52,15 +52,15 @@ If your camera is at a fixed height on your robot and the height of the target i
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // TODO
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // TODO
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 
@@ -76,15 +76,15 @@ The C++ version of PhotonLib uses the Units library. For more information, see [
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       double distanceToTarget = PhotonUtils.getDistanceToPose(robotPose, targetPose);
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       //TODO
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 ```
@@ -95,19 +95,19 @@ You can get a [translation](https://docs.wpilib.org/en/latest/docs/software/adva
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       // Calculate a translation from the camera to the target.
       Translation2d translation = PhotonUtils.estimateCameraToTargetTranslation(
         distanceMeters, Rotation2d.fromDegrees(-target.getYaw()));
 
-   .. code-block:: c++
+   .. code-block:: C++
 
       // Calculate a translation from the camera to the target.
       frc::Translation2d translation = photonlib::PhotonUtils::EstimateCameraToTargetTranslationn(
         distance, frc::Rotation2d(units::degree_t(-target.GetYaw())));
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 
@@ -123,14 +123,14 @@ We are negating the yaw from the camera from CV (computer vision) conventions to
 
 ```{eval-rst}
 .. tab-set-code::
-   .. code-block:: java
+   .. code-block:: Java
 
       Rotation2d targetYaw = PhotonUtils.getYawToPose(robotPose, targetPose);
-   .. code-block:: c++
+   .. code-block:: C++
 
      //TODO
 
-   .. code-block:: python
+   .. code-block:: Python
 
       # TODO
 ```
diff --git a/docs/source/docs/simulation/simulation-java.md b/docs/source/docs/simulation/simulation-java.md
index f7f6c10be..7b4f99da9 100644
--- a/docs/source/docs/simulation/simulation-java.md
+++ b/docs/source/docs/simulation/simulation-java.md
@@ -55,7 +55,7 @@ A `VisionSystemSim` represents the simulated world for one or more cameras, and
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // A vision system sim labelled as "main" in NetworkTables
       VisionSystemSim visionSim = new VisionSystemSim("main");
@@ -68,7 +68,7 @@ Vision targets require a `TargetModel`, which describes the shape of the target.
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // A 0.5 x 0.25 meter rectangular target
       TargetModel targetModel = new TargetModel(0.5, 0.25);
@@ -79,7 +79,7 @@ These `TargetModel` are paired with a target pose to create a `VisionTargetSim`.
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // The pose of where the target is on the field.
       // Its rotation determines where "forward" or the target x-axis points.
@@ -101,7 +101,7 @@ For convenience, an `AprilTagFieldLayout` can also be added to automatically cre
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // The layout of AprilTags which we want to add to the vision system
       AprilTagFieldLayout tagLayout = AprilTagFieldLayout.loadFromResource(AprilTagFields.k2024Crescendo.m_resourceFile);
@@ -122,7 +122,7 @@ Before adding a simulated camera, we need to define its properties. This is done
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // The simulated camera properties
       SimCameraProperties cameraProp = new SimCameraProperties();
@@ -133,7 +133,7 @@ By default, this will create a 960 x 720 resolution camera with a 90 degree diag
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // A 640 x 480 camera with a 100 degree diagonal FOV.
       cameraProp.setCalibration(640, 480, Rotation2d.fromDegrees(100));
@@ -151,7 +151,7 @@ These properties are used in a `PhotonCameraSim`, which handles generating captu
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // The PhotonCamera used in the real robot code.
       PhotonCamera camera = new PhotonCamera("cameraName");
@@ -165,7 +165,7 @@ The `PhotonCameraSim` can now be added to the `VisionSystemSim`. We have to defi
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // Our camera is mounted 0.1 meters forward and 0.5 meters up from the robot pose,
       // (Robot pose is considered the center of rotation at the floor level, or Z = 0)
@@ -187,7 +187,7 @@ If the camera is mounted on a mobile mechanism (like a turret) this transform ca
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // The turret the camera is mounted on is rotated 5 degrees
       Rotation3d turretRotation = new Rotation3d(0, 0, Math.toRadians(5));
@@ -204,7 +204,7 @@ To update the `VisionSystemSim`, we simply have to pass in the simulated robot p
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // Update with the simulated drivetrain pose. This should be called every loop in simulation.
       visionSim.update(robotPoseMeters);
@@ -219,7 +219,7 @@ Each `VisionSystemSim` has its own built-in `Field2d` for displaying object pose
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // Get the built-in Field2d used by this VisionSystemSim
       visionSim.getDebugField();
@@ -234,7 +234,7 @@ A `PhotonCameraSim` can also draw and publish generated camera frames to a MJPEG
 ```{eval-rst}
 .. tab-set-code::
 
-   .. code-block:: java
+   .. code-block:: Java
 
       // Enable the raw and processed streams. These are enabled by default.
       cameraSim.enableRawStream(true);