Development.md

@@ -7,10 +7,10 @@
 ## How to contribute to NES
 
 1. Create an issue and complete the description
-   - Complete the description of the issue as much as you can with (estimation time, milestone, assigned one, ...)
+   - Complete the issue description as much as possible with (estimation time, milestone, assigned one, etc.)
 2. Create a branch (from master) directly in the issue (name should start with `develop-` following the number and title of the issue)
 3. Clone and checkout to the new branch without modifications in Nord3v2.
-   - It is recommended to run some tests to ensure the current behaviour.
+   - It is recommended to run some tests to ensure the current behavior.
 4. Modify the code.
 5. Run the simulation with the new branch:
    - To achieve it is important to prepend the cloned path in the `PYTHONPATH`
@@ -19,19 +19,19 @@
 7. Update the `CHANGELOG.md` with the new option-
 8. Update the wiki with the new specifications.
 9. Merge `master` into your development branch.
-   - To ensure that if there have been news on the master they are included.
+   - To ensure that if there has been news on the master, they are included.
 10. Run all tests.
 11. Create a merge request assigning it to Alba or Carles
 
 ## Vertical interpolation
 
 - [Numpy linear interpolation](https://numpy.org/doc/stable/reference/generated/numpy.interp.html) is faster than [scipy.interpolate.interp1d](https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.interp1d.html)
-- Do the operation using float32 sometimes produces negatives values on very small results
+- Do the operation using float32 sometimes produces negative values on very small results
   - Force to float64 fixes the problem
 
 ```python
 # We force the interpolation with float64 to avoid negative values
-# We don't know why the negatives appears with float34
+# We don't know why the negatives appear with float34
 if kind == 'linear':
     dst_data[t, :, j, i] = np.array(
         np.interp(new_levels,