📚 update docs

chfw · chfw · commit 43afda22d499 · 2025-04-26T21:25:47.000+01:00
diff --git a/.moban.d/two-liners.rst.jj2 b/.moban.d/two-liners.rst.jj2
@@ -77,7 +77,7 @@ And let's check what do we have:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Please do not forgot the second line to close the opened file handle:
+Please do not forget the second line to close the opened file handle:
 
 .. code-block:: python
 
@@ -97,7 +97,7 @@ Instead, what if you have to use `pyexcel.get_array` to do the same:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Again, do not forgot the second line:
+Again, do not forget the second line:
 
 .. code-block:: python
 
@@ -183,6 +183,7 @@ Export a list of dictionaries
     ...     {"year": 1903, "country": "Germany", "speed": "206.7km/h"},
     ...     {"year": 1964, "country": "Japan", "speed": "210km/h"},
     ...     {"year": 2008, "country": "China", "speed": "350km/h"}
+    ...     {"year": 2025, "country": "China", "speed": "400km/h"}    
     ... ]
     >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls')
 
diff --git a/README.rst b/README.rst
@@ -789,7 +789,7 @@ And let's check what do we have:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Please do not forgot the second line to close the opened file handle:
+Please do not forget the second line to close the opened file handle:
 
 .. code-block:: python
 
@@ -809,7 +809,7 @@ Instead, what if you have to use `pyexcel.get_array` to do the same:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Again, do not forgot the second line:
+Again, do not forget the second line:
 
 .. code-block:: python
 
@@ -886,6 +886,7 @@ Export a list of dictionaries
     ...     {"year": 1903, "country": "Germany", "speed": "206.7km/h"},
     ...     {"year": 1964, "country": "Japan", "speed": "210km/h"},
     ...     {"year": 2008, "country": "China", "speed": "350km/h"}
+    ...     {"year": 2025, "country": "China", "speed": "400km/h"}    
     ... ]
     >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls')
 
diff --git a/docs/source/two-liners.rst b/docs/source/two-liners.rst
@@ -61,7 +61,7 @@ And let's check what do we have:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Please do not forgot the second line to close the opened file handle:
+Please do not forget the second line to close the opened file handle:
 
 .. code-block:: python
 
@@ -81,7 +81,7 @@ Instead, what if you have to use `pyexcel.get_array` to do the same:
    grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg
    regular(16 oz.) of Panera Coffee Light Roast has 300 mg
 
-Again, do not forgot the second line:
+Again, do not forget the second line:
 
 .. code-block:: python
 
@@ -165,6 +165,7 @@ Export a list of dictionaries
     ...     {"year": 1903, "country": "Germany", "speed": "206.7km/h"},
     ...     {"year": 1964, "country": "Japan", "speed": "210km/h"},
     ...     {"year": 2008, "country": "China", "speed": "350km/h"}
+    ...     {"year": 2025, "country": "China", "speed": "400km/h"}    
     ... ]
     >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls')
 
