diff --git a/.gitignore b/.gitignore
index f6edf40f..963be75b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,3 +11,6 @@ Examples/ARM/arm_linear_interp_example/RTE/
 Examples/ARM/arm_signal_converge_example/RTE/
 Examples/ARM/arm_svm_example/RTE/
 Projects/ARM/IntermediateFiles/
+.ipynb_checkpoints
+Examples/ARM/*/RTE/
+Examples/ARM/*/MTICoverageOut.cov
diff --git a/Examples/ARM/arm_bayes_example/arm_bayes_example_f32.c b/Examples/ARM/arm_bayes_example/arm_bayes_example_f32.c
index 64702573..b0cc13a1 100755
--- a/Examples/ARM/arm_bayes_example/arm_bayes_example_f32.c
+++ b/Examples/ARM/arm_bayes_example/arm_bayes_example_f32.c
@@ -48,7 +48,8 @@
  * \par Description:
  * \par
  * Demonstrates the use of Bayesian classifier functions. It is complementing the tutorial
- * about classical ML with CMSIS-DSP and python scikit-learn.
+ * about classical ML with CMSIS-DSP and python scikit-learn:
+ * https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/implement-classical-ml-with-arm-cmsis-dsp-libraries
  *
  */
 
diff --git a/Examples/ARM/arm_svm_example/arm_svm_example_f32.c b/Examples/ARM/arm_svm_example/arm_svm_example_f32.c
index ce192501..bcadcbc8 100755
--- a/Examples/ARM/arm_svm_example/arm_svm_example_f32.c
+++ b/Examples/ARM/arm_svm_example/arm_svm_example_f32.c
@@ -48,7 +48,8 @@
  * \par Description:
  * \par
  * Demonstrates the use of SVM functions. It is complementing the tutorial
- * about classical ML with CMSIS-DSP and python scikit-learn.
+ * about classical ML with CMSIS-DSP and python scikit-learn:
+ * https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/implement-classical-ml-with-arm-cmsis-dsp-libraries
  *
  */
 
diff --git a/PythonWrapper/README.md b/PythonWrapper/README.md
index 34beb822..52f23f3c 100644
--- a/PythonWrapper/README.md
+++ b/PythonWrapper/README.md
@@ -6,6 +6,9 @@ It is a very experimental wrapper with lots of limitations as described in the c
 
 But even with those limitations, it can be very useful to test a CMSIS-DSP implemention of an algorithm with all the power of numpy and scipy.
 
+A tutorial is also available but with less details than this README:
+https://developer.arm.com/documentation/102463/latest/
+
 # How to build and install
 
 ## Tested configurations