fix some links

galaxyproject · Nov 23, 2023 · 1bfa3a9 · 1bfa3a9
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diff --git a/topics/assembly/tutorials/debruijn-graph-assembly/tutorial.md b/topics/assembly/tutorials/debruijn-graph-assembly/tutorial.md
@@ -27,9 +27,9 @@ contributors:
 
 In this activity, we will perform *de novo* assemblies of a short read set using the Velvet Optimiser and the SPAdes assemblers. We are using the Velvet Optimiser for illustrative purposes. For real assembly work, a more suitable assembler should be chosen - such as SPAdes.
 
-The Velvet Optimiser is a script written by Simon Gladman to optimise the k-mer size and coverage cutoff parameters for Velvet. More information can be found [here](https://github.com/slugger70/VelvetOptimiser)
+The Velvet Optimiser is a script written by {% include _includes/contributor-badge.html id="slugger70" %} to optimise the k-mer size and coverage cutoff parameters for Velvet. More information can be found [in its repository](https://github.com/slugger70/VelvetOptimiser).
 
-SPAdes is a de novo genome assembler written by Pavel Pevzner's group in St. Petersburg. More details on it can be found [here](http://cab.spbu.ru/software/spades/)
+SPAdes is a de novo genome assembler written by Pavel Pevzner's group in St. Petersburg. More details on it can be found [on Spades' website](http://cab.spbu.ru/software/spades/)>
 
 
 

diff --git a/topics/contributing/tutorials/python/tutorial.md b/topics/contributing/tutorials/python/tutorial.md
@@ -139,7 +139,7 @@ This was generated by [hexylena/auto-python](https://github.com/hexylena/auto-py
 When teaching programming one must constantly be cognisant of the student's cognitive load. It is a complicated task that demands a lot of students, requiring types of explicit logic analysis that they may not have engaged in before. Both learning based on problem-solving and worked examples may cause high cognitive loads for different audiences, and exploring alternatives is important ({% cite Retnowati_2017 %}). Faded examples such as what is seen below are exactly such an alternative, starting with a fully worked example and removing successive components until we reach a problem description requiring a full solution. This leads to fewer unproductive learning events ({% cite Renkl_2004 %}).
 
 ```python
-# Write a function that multiplies two numbers
+### Write a function that multiplies two numbers
 def multiply(a, b):
     c = a * b
     return c