Fix readme

README.md

@@ -13,20 +13,12 @@ Additionally, this new template also partly implements the [Jupyter Kernel messa
 
 The current code interpreter allows to run Python code but each run share the context. That means that subsequent runs can reference to variables, definitions, etc from past code execution runs.
 
-## Current state
-
-Known limited in features such as:
-
-- All executions share single kernel
-
-We'll be updating this module as we gather more user feedback.
-
 ## Installation
 
 ### Python
 
 ```sh
-pip install e2b_code_interpreter
+pip install e2b-code-interpreter
 ```
 
 ### JavaScript

js/README.md

@@ -5,8 +5,7 @@ The repository contains a template and modules for the code interpreter sandbox.
 ## Key Features
 
 - **Stateful Execution**: Unlike traditional sandboxes that treat each code execution independently, this package maintains context across executions.
-- **Jupyter Kernel Messaging Protocol**: Implements parts of the [Jupyter Kernel messaging protocol](https://jupyter-client.readthedocs.io/en/latest/messaging.html), enhancing support for interactive features like plotting charts.
-- **Easy Integration**: Designed for seamless integration into Python projects, enabling the execution of dynamic code blocks with context sharing.
+- **Displaying Graph & Data**: Implements parts of the [Jupyter Kernel messaging protocol](https://jupyter-client.readthedocs.io/en/latest/messaging.html), which support for interactive features like plotting charts, rendering DataFrames, etc.
 
 ## Installation
 

python/README.md

@@ -5,13 +5,12 @@ The repository contains a template and modules for the code interpreter sandbox.
 ## Key Features
 
 - **Stateful Execution**: Unlike traditional sandboxes that treat each code execution independently, this package maintains context across executions.
-- **Jupyter Kernel Messaging Protocol**: Implements parts of the [Jupyter Kernel messaging protocol](https://jupyter-client.readthedocs.io/en/latest/messaging.html), enhancing support for interactive features like plotting charts.
-- **Easy Integration**: Designed for seamless integration into Python projects, enabling the execution of dynamic code blocks with context sharing.
+- **Displaying Graph & Data**: Implements parts of the [Jupyter Kernel messaging protocol](https://jupyter-client.readthedocs.io/en/latest/messaging.html), which support for interactive features like plotting charts, rendering DataFrames, etc.
 
 ## Installation
 
 ```sh
-pip install e2b_code_interpreter
+pip install e2b-code-interpreter
 ```
 
 ## Examples