Update README.jmd

README.jmd

@@ -6,9 +6,6 @@ An eclectic collection of convenience functions for your data manipulation needs
 
 ### Piping Convenience
 
-#### Re-exporting Lazy.jl's `@>` `@>>` `@as` for piping convenenice
-Lazy.jl has some macros for piping operations. However, it also exports the `groupby` function which conflicts with `DataFrames.groupby`. I have made it easier here so that `using DataConvenience` will only export the macros `@>`, `@>>`,  `@as`. You can achieve the same with just Lazy.jl by doing `using Lazy: @>, @>>, @as`.
-
 #### Defining `filter(::AbstractDataFrame, arg)`
 DataFrames.jl does not define `filter(::AbstractDataFrame, arg)` and instead has `filter(arg, ::AbstractDataFrame)` only. This makes it inconsistent with the other functions so that's why I am defining `filter` with the signature `filter(::AbstractDataFrame, arg)`.
 
@@ -29,6 +26,8 @@ end
 
 ```
 
+Note: DataConvenience.jl used to re-export Lazy.jl's `@>` which it no longer does. Users are encouraged to use [Chain.jl](https://github.com/jkrumbiegel/Chain.jl) instead.
+
 ### Sampling with `sample`
 
 You can conveniently sample a dataframe with the `sample` method