Update README.md

README.md

@@ -5,11 +5,11 @@
 pip install -r requirements.txt
 ```
 
-Older versions of `pywavelet` were able to handle `discrete wavelet transform` using the `cwt()` function mean for 
+Older versions of `pywavelet` were able to handle `discrete wavelet transform` using the `cwt()` function meant for 
 continuous wavelets. To get `pywavelet` library working with the (discrete) `haar` wavelet we need to make two small 
-modifications to the source of the `pywavelet` library. To do so, locate the installation directory: Let's say 
-`<some_path>/lib/python3.10/site-packages/pywt`. Open the `/_cwt.py` module. Replace the line 
-`dt_out = dt_cplx if wavelet.complex_cwt else dt` by `dt_out = dt` and comment 
+modifications to the source of the `pywavelet` library. Let's sayt that the installation directory is `<some_path>/lib/python3.10/site-packages/pywt`. 
+Open the `/_cwt.py` module. 1. Replace the line 
+`dt_out = dt_cplx if wavelet.complex_cwt else dt` by `dt_out = dt` and 2. comment 
 `int_psi = np.conj(int_psi) if wavelet.complex_cwt else int_psi`.
 
 Clone the develop branch