fix links on material

docs/source/material.rst

@@ -9,12 +9,12 @@ Cheatsheets
 A collection of quick references from Matplotlib and Python
 for Data Science:  
 
-  * Jupyter notebook cheatsheet `download pdf <../../material/cheatsheets/jupyter_notebook_cheatsheet.pdf>` 
-  * Numpy cheatsheet `download pdf <../../material/cheatsheets/numpy_cheatsheet.pdf>` 
-  * Matplotlib cheatsheet `download pdf <../../material/cheatsheets/matplotlib_cheatsheet.pdf>` 
-  * Numpy cheatsheet `download pdf <../../material/cheatsheets/numpy_cheatsheets.pdf>` 
-  * Basic pandas cheatsheet `download pdf <../../material/cheatsheets/basic_pandas_cheatsheet.pdf>` 
-  * Intermediate pandas cheatsheet `download pdf <../../material/cheatsheets/intermediate_pandas_cheatsheet.pdf>` 
+  * Jupyter notebook cheatsheet :download:`download pdf <../../material/cheatsheets/jupyter_notebook_cheatsheet.pdf>` 
+  * Numpy cheatsheet :download:`download pdf <../../material/cheatsheets/numpy_cheatsheet.pdf>` 
+  * Matplotlib cheatsheet :download:`download pdf <../../material/cheatsheets/matplotlib_cheatsheet.pdf>` 
+  * Numpy cheatsheet :download:`download pdf <../../material/cheatsheets/numpy_cheatsheets.pdf>` 
+  * Basic pandas cheatsheet :download:`download pdf <../../material/cheatsheets/basic_pandas_cheatsheet.pdf>` 
+  * Intermediate pandas cheatsheet :download:`download pdf <../../material/cheatsheets/intermediate_pandas_cheatsheet.pdf>` 
 
 
 Tutorials and exercises
@@ -22,8 +22,9 @@ Tutorials and exercises
 
 The following links are a series of Jupyter notebooks that allow
 you to practice basic skills with Jupyter notebooks and common Python
-packages used with scientific programming. Google how to run a Jupyter
-notebook if you've never seen one before. :)
+packages used with scientific programming.
+
+Google how to run a Jupyter notebook if you've never used one before. :)
 
    * Introduction to Jupyter notebooks :download:`download notebook <../../material/jupyter_notebooks/introduction_to_jupyter_notebooks.ipynb>`  
    * NumPy tutorial :download:`download notebook <../../material/jupyter_notebooks/2a-tutorial_numpy_array_basics.ipynb>`  
@@ -38,7 +39,7 @@ notebook if you've never seen one before. :)
 Slides from previous editions
 ------------------------------
 
-January 2022:  
+January 2022 (Python only):  
 
    * Day 1 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day1.pdf>`  
    * Day 2 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day2.pdf>`  
@@ -46,7 +47,7 @@ January 2022:
    * Day 4 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day4.pdf>`  
 
 
-August 2021:  
+August 2021 (Python and Matlab):  
  
    * Day 1 :download:`download pdf <../../material/slides/2021/CodeCamp_Day1.pdf>`  
    * Day 2 :download:`download pdf <../../material/slides/2021/CodeCamp_Day2.pdf>`