Finished concat.md

content/pandas/concepts/built-in-functions/terms/concat/concat.md

@@ -26,18 +26,39 @@ pandas.concat(objs)
 
 The `objs` parameter is essential and must be specified. It represents the objects to be concatenated and can be a sequence or mapping of pandas Series or DataFrame objects. The objects should be passed as a sequence (like a list or tuple) or a mapping (like a dictionary).
 
+The rest of the parameters are listed below:
+
+|   Parameter Name   |                      Data Type                       | Usage                                                                                  |
+| :----------------: | :--------------------------------------------------: | -------------------------------------------------------------------------------------- |
+|       `axis`       |     int (0 for rows, 1 for columns ), default 0      | Specifies the axis along which to concatenate the objects                              |
+|       `join`       | str (“outer” (default), “inner,” “left,” or “right”) | Determines how to handle indexes on other axes                                         |
+|   `ignore_index`   |                bool, default `False`                 | If `True`, it resets the index in the resulting DataFrame                              |
+|       `keys`       |        sequence (list or tuple), default None        | Lets you construct a hierarchical index using the provided keys as the outermost level |
+|      `levels`      |           list of sequences, default None            | Specific levels to use for constructing a MultiIndex if keys are provided              |
+|      `names`       |              list of str, default None               | Names for the levels generated in the hierarchical index                               |
+| `verify_integrity` |                bool, default `False`                 | If `True`, checks whether the new concatenated axis contains duplicates                |
+|       `sort`       |                bool, default `False`                 | If `True`, it sorts the resulting Series or Dataframe by the keys                      |
+|       `copy`       |                 bool, default `True`                 | If `False`, it avoids copying data unnecessarily                                       |
+
 ## Example
 
-[Text, code, images, etc. about example 1]
+```py
+import pandas
+
+df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
+df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
 
-## Codebyte Example (if applicable)
+result = pd.concat([df1, df2])
+print(result)
 
-We can currently support:
+```
+
+The example will result in a new DataFrame is returned by concatenating df1 and df2 along the rows:
 
-- Python
-- JavaScript
-- Ruby
-- C++
-- C#
-- Go
-- PHP
+```shell
+   A   B
+0  1   2
+1  3   4
+0  5   6
+1  7   8
+```