diff --git a/pandas/basics/README.md b/pandas/basics/README.md
index 99dcc17..e451a1d 100644
--- a/pandas/basics/README.md
+++ b/pandas/basics/README.md
@@ -208,4 +208,46 @@ DataFrame.to_csv(path_or_buf=None, sep=',', na_rep='', float_format=None, column
 
 ### Excel​
 
-## JSON
+#### [read](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html#pandas.read_excel)
+
+```python
+pandas.read_excel(io, sheet_name=0, *, header=0, names=None, index_col=None, usecols=None, dtype=None, engine=None, converters=None, true_values=None, false_values=None, skiprows=None, nrows=None, na_values=None, keep_default_na=True, na_filter=True, verbose=False, parse_dates=False, date_parser=_NoDefault.no_default, date_format=None, thousands=None, decimal='.', comment=None, skipfooter=0, storage_options=None, dtype_backend=_NoDefault.no_default, engine_kwargs=None)
+```
+
+> Read an Excel file into a pandas DataFrame.
+> 
+> Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets.
+
+#### [write](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_excel.html#pandas.DataFrame.to_excel)
+
+```python
+DataFrame.to_excel(excel_writer, sheet_name='Sheet1', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, startrow=0, startcol=0, engine=None, merge_cells=True, inf_rep='inf', freeze_panes=None, storage_options=None, engine_kwargs=None)
+```
+
+> Write object to an Excel sheet.
+> 
+> To write a single object to an Excel .xlsx file it is only necessary to specify a target file name. To write to multiple sheets it is necessary to create an ExcelWriter object with a target file name, and specify a sheet in the file to write to.
+> 
+> Multiple sheets may be written to by specifying unique sheet_name. With all data written to the file it is necessary to save the changes. Note that creating an ExcelWriter object with a file name that already exists will result in the contents of the existing file being erased.
+
+### JSON
+
+#### [read](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_json.html#pandas.read_json)
+
+```python
+pandas.read_json(path_or_buf, *, orient=None, typ='frame', dtype=None, convert_axes=None, convert_dates=True, keep_default_dates=True, precise_float=False, date_unit=None, encoding=None, encoding_errors='strict', lines=False, chunksize=None, compression='infer', nrows=None, storage_options=None, dtype_backend=_NoDefault.no_default, engine='ujson')
+```
+
+> Convert a JSON string to pandas object.
+
+#### [write](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_json.html#pandas.DataFrame.to_json)
+
+```python
+DataFrame.to_json(path_or_buf=None, orient=None, date_format=None, double_precision=10, force_ascii=True, date_unit='ms', default_handler=None, lines=False, compression='infer', index=None, indent=None, storage_options=None, mode='w')
+```
+
+> Convert the object to a JSON string.
+> 
+> Note NaN’s and None will be converted to null and datetime objects will be converted to UNIX timestamps.
+
+