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32.`on=.()` syntax is now posible, e.g., `X[Y, on=.(x==a, y==b)]`, [#1257](https://github.com/Rdatatable/data.table/issues/1257). Thanks @dselivanov.
33. Non-equi joins are now possible using the familiar `on=` syntax. With this, the set of binary operators extend from just `==` to `>=`, `>`, `<=`, `<` and `==`. For e.g., `X[Y, on=.(a, b>b)]` looks for `X.a == Y.a` first and within those matching rows for rows where`X.b > Y.b`. Arguments `mult` and `nomatch` work as expected. `by=.EACHI` is not yet implemented. Partly addreses[#1452](https://github.com/Rdatatable/data.table/issues/1452).
33. Non-equi joins are now possible using the familiar `on=` syntax. With this, the set of binary operators extend from just `==` to `>=`, `>`, `<=`, `<` and `==`. For e.g., `X[Y, on=.(a, b>b)]` looks for `X.a == Y.a` first and within those matching rows for rows where`X.b > Y.b`,[#1452](https://github.com/Rdatatable/data.table/issues/1452).
34.`%between%` is vectorised which means we can now do: `DT[x %between% list(y,z)]` which is equivalent to `DT[x >= y & x <= z]`, [#534](https://github.com/Rdatatable/data.table/issues/534). Thanks @MicheleCarriero for filing the issue and the idea.
