Update readme

README.md

@@ -14,33 +14,29 @@ From here, you can create a new engine by running `schema build`. It will get th
 using zig that the CLI will then use to manipulate data. You then interact with the engine by using `run "My query go here"` or
 by directly using the engine binary.
 
-## Why Zippon ?
+### Why Zippon ?
 
-I first started ZipponDB to learn, but I think that in order to learn, you need to build something real, so I chose to do a database
-as I try to become an expert in it.
-
-Now for Zippon advantages:
-- Open-source and 100% in Zig with 0 dependencies
+- Open-source and written 100% in Zig with 0 dependency
 - Relational database
 - Small, fast and implementable everywhere
 
 # Declare a schema
 
-ZipponDB need a schema to work. A schema is a way to define how your data will be store. Compared to SQL, you can see it as a 
-file where you declare all table name, columns name, data type and relationship. But here you declare struct. A struct have a name and
-members. A member is one data or link and have a type associated. Here a simple example for a user:
+ZipponDB need a schema to work. A schema is a way to define how your data will be store. 
+
+Compared to SQL, you can see it as a file where you declare all table name, columns name, data type and relationship. 
+
+But here you declare struct. A struct have a name and members. A member is one data or link and have a type associated. Here a simple example for a user:
 
 ```
 User (
     name: str,
     email: str,
     best_friend: User,
-    friends: []User,
 )
 ```
 
-In this example each user have a name and email as a string. But also one best friend as a link. [] mean that there is a 
-list of this value. Note that all value can be null exept list, they can be empty.
+In this example each user have a name and email as a string. But also one best friend as a link. 
 
 Here a more advance example with multiple struct:
 ```
@@ -49,9 +45,9 @@ User {
     email: str,
     friends: []User,
     posts: []Post,
-    liked_post: []Post,
+    liked_posts: []Post,
     comments: []Comment,
-    liked_com: []Comment,
+    liked_coms: []Comment,
 }
 
 Post {
@@ -72,13 +68,11 @@ Comment {
 }
 ```
 
-Note: data not yet implemented.
+Note: [] are list of value.
 
 # ZipponQL
 
-Zippon have it's own query language. Why ? Idk, I wanted to do it.
-
-The language itself is fairly easy in my opinion. Here the basic:
+Zippon have it's own query language. Here the keys point to remember:
 
 - {} Are filters
 - [] Are how much; what data
@@ -130,12 +124,11 @@ Get all user that are friends with an Adrien
 
 `ADD User ( name = 'Adrien', email = 'email', age = 40 )`  
 
-
 # Integration
 
 For now there is only a python intregration, but because it is just 2-3 command, it is easy to implement with other language.
 
-## Python
+### Python
 
 ```python
 import zippondb as zdb
@@ -152,6 +145,7 @@ for user in users:
 
 # Roadmap
 
+[X] CLI  
 [ ] Beta without link  
 [ ] Relationships/links  
 [ ] Multi threading  
@@ -161,3 +155,4 @@ for user in users:
 [ ] Dump/Bump data  
 [ ] In memory option  
 [ ] Archives  
+[ ] Date value type