Fix spelling

Author: richelbilderbeek

.github/workflows/check_spelling.yaml

@@ -24,5 +24,6 @@ jobs:
           rm -rf docs/old
           rm -rf meeting_notes
           rm $(find . | grep "_old\\.")
+          rm $(find . | grep "not_used")
 
       - uses: igsekor/pyspelling-any@v1.0.4

.wordlist.txt

@@ -1118,3 +1118,4 @@ wp
 Ctrl
 rescaled
 UIs
+annot

docs/day3/big_data.rst

@@ -738,7 +738,7 @@ Polars package
    - GPU Support: Optionally run queries on **NVIDIA GPUs**
    - `Apache Arrow <https://arrow.apache.org/overview/>`_ support
 
-   https://pola.rs/
+   [`https://pola.rs/`](https://pola.rs/)
 
 Exercises: Packages
 -------------------

docs/day3/not_used/old-pandas.rst

@@ -778,7 +778,7 @@ For demonstration, here is an example based loosely on the climate of your teach
 
 .. important:: Speed-up with Numba
 
-   If you have Numba installed, setting ``engine=numba`` in functions like ``.transform()``, ``.apply()``, and NumPy-like statistics functions calculated over rolling windows, can boost performance if the function has to be run multiple times over several columns, particularly if you can set ``engine_kwargs={"parallel": True}``. **Parellelization occurs column-wise, so performance will be boosted if and only if the function is repeated many times over many columns.**
+   If you have Numba installed, setting ``engine=numba`` in functions like ``.transform()``, ``.apply()``, and NumPy-like statistics functions calculated over rolling windows, can boost performance if the function has to be run multiple times over several columns, particularly if you can set ``engine_kwargs={"parallel": True}``. **Parallelization occurs column-wise, so performance will be boosted if and only if the function is repeated many times over many columns.**
 
    Here is a (somewhat scientifically nonsensical) example using the exoplanets DataFrame to show the speed-up for 5 columns.
 

evaluations/20251128_day_2/README.md

@@ -46,4 +46,4 @@
 
 - Exercises were a bit less clear today, which ones we should do and when was a little confusing. Content was very good though :)
 - NO
-- Because each hpc has different setup it is a bit uninteresting to walk through them alla when I'm only concerned with the one I'm using
+- Because each hpc has different setup it is a bit uninteresting to walk through them all when I'm only concerned with the one I'm using