Adjusted hello world with serialize()

examples/hello_world.cc

@@ -138,17 +138,13 @@ int main(int, char *[])  {
     ul_df2.write<std::ostream, std::string, double>(std::cout, io_format::csv2);
     ibm_df.write<double, long>("/tmp/test.json", io_format::json);
 
-    // You can convert a DataFrame to a string and from a string back into a DataFrame. This could be used to transmit a
-    // DataFrame from one place to another or store a DataFrame in databases, caches, ...
+    // You can serialize and deserialize the DataFrame both in string and binary formats.
+    // This could be used to transmit a DataFrame from one node to another or store a DataFrame in databases, caches, ...
     //
-    const std::string  ibm_df_as_str = ibm_df.to_string<double, long>();
+    const std::string  ibm_df_serialized = ibm_df.serialize<double, long>();
     StrDataFrame       ibm_df_2;
 
-    // Since we convert from native type to string and back, if you have floating point numbers with long precisions, you may
-    // run into precision mismatches. to_string() has a precision parameter you can adjust. The default is 12 which is a
-    // relatively high precision.
-    //
-    ibm_df_2.from_string(ibm_df_as_str.c_str());
+    ibm_df_2.deserialize(ibm_df_serialized);
     // std::cout << ibm_df_as_str << std::endl;  // Large output
 
     using ul_idx_t = ULDataFrame::IndexType;  // This is just unsigned long.