Update some descriptions (#75)

* Update index.qmd

* add tutorial on bayesian stats in the landing page.

---------

Co-authored-by: Jose Storopoli <[email protected]>

Author: yebai

index.qmd

@@ -17,13 +17,13 @@ description: |
 # Turing.jl: Bayesian inference with probabilistic programming. 
 
 ### Intuitive
-Turing models are easy to read and write — models work the way you write them.
+Turing models are easy to write and communicate — syntax is close to mathematical notations. 
 
 ### General-purpose
-Turing supports models with discrete parameters and stochastic control flow. Specify complex models quickly and easily.
+Turing supports models with discrete parameters and stochastic control flow. 
 
-### Modular
-Turing is modular, written fully in Julia, and can be modified to suit your needs.
+### Modular and composable 
+Turing is modular, written entirely in Julia, and is interoperable with the powerful Julia ecosystem. 
 
 
 ::: {.hero-buttons style="position: relative; display: flex; justify-content: center;"}
@@ -45,7 +45,8 @@ Turing is modular, written fully in Julia, and can be modified to suit your need
 ## Community Resources
 
 The Turing.jl [discourse forum](https://discourse.julialang.org/c/domain/probprog) provides support and discussion for all user levels.
-The [Turing.jl documentation]({{< meta get-started >}}) and [tutorials]({{< meta tutorials-intro >}}) help users learn and use Turing.jl!
+The [Turing.jl documentation]({{< meta get-started >}}) and [official tutorials]({{< meta tutorials-intro >}}) help users learn and use Turing.jl!
+There's also a [tutorial in Bayesian Statistics using Julia and Turing.jl](https://storopoli.io/Bayesian-Julia).
 
 :::
 ::: {.g-col-3}