Update README.md

README.md

@@ -16,6 +16,8 @@ license: mit
 
 A comprehensive benchmark framework designed to rigorously evaluate state-of-the-art causal discovery algorithms for dynamical systems.
 
+## Key Features
+
 1️⃣ **Large-Scale Benchmark**. Systematically evaluate state-of-the-art causal discovery algorithms on thousands of graph challenges with increasing difficulty. 
 
 2️⃣ **Customizable Data Generation**. Scalable, user-friendly generation of increasingly complex coupled ordinary and stochastic systems of differential equations
@@ -37,6 +39,7 @@ Clone the repository and install it using [pdm](https://pdm-project.org/en/lates
 
 ```shell
 git clone https://github.com/kausable/CausalDynamics.git
+cd CausalDynamics
 pdm install
 ```
 
@@ -57,6 +60,11 @@ Alternatively, `causaldynamics` is available on [PyPi](https://pypi.org/project/
 pip install causaldynamics
 ```
 
+
+conda create --name venv python=3.10
+conda activate venv
+pip install causaldynamics
+
 ## Getting Started
 
 - [Challenge](https://kausable.github.io/CausalDynamics/challenge.html)