diff --git a/installation.md b/installation.md
index 4baf55d..4127ce6 100644
--- a/installation.md
+++ b/installation.md
@@ -1,11 +1,16 @@
 # MiniTorch Module 3 Installation
 
-MiniTorch requires Python 3.8 or higher. To check your version of Python, run:
+MiniTorch requires Python 3.11. To check your version of Python, run:
 
 ```bash
 >>> python --version
 ```
 
+If you don't have Python 3.11, install it before proceeding:
+- **Mac**: `brew install python@3.11`
+- **Ubuntu/Debian**: `sudo apt install python3.11`
+- **Windows**: Download from python.org
+
 We recommend creating a global MiniTorch workspace directory that you will use
 for all modules:
 
@@ -19,14 +24,14 @@ We highly recommend setting up a *virtual environment*. The virtual environment
 
 **Option 1: Anaconda (Recommended)**
 ```bash
->>> conda create --name minitorch python    # Run only once
+>>> conda create --name minitorch python=3.11    # Run only once
 >>> conda activate minitorch
->>> conda install llvmlite                  # For optimization
+>>> conda install llvmlite                       # For optimization
 ```
 
 **Option 2: Venv**
 ```bash
->>> python -m venv venv          # Run only once
+>>> python3.11 -m venv venv      # Run only once (requires Python 3.11)
 >>> source venv/bin/activate
 ```
 
@@ -41,6 +46,14 @@ Each assignment is distributed through a Git repo. Once you accept the assignmen
 >>> cd {{ASSIGNMENT}}
 ```
 
+## Installation
+
+Install all packages in your virtual environment:
+
+```bash
+>>> python -m pip install -e ".[dev,extra]"
+```
+
 ## Syncing Previous Module Files
 
 Module 3 requires files from Module 0, Module 1, and Module 2. Sync them using:
diff --git a/pyproject.toml b/pyproject.toml
index 6e3e566..016a7ce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,11 +6,11 @@ build-backend = "hatchling.build"
 name = "minitorch"
 version = "0.5"
 description = "A minimal deep learning library for educational purposes"
-requires-python = ">=3.8"
+requires-python = ">=3.8,<3.12"
 dependencies = [
     "colorama==0.4.6",
     "hypothesis==6.138.2",
-    "numba-cuda[cu12]>=0.4.0", ## cu12 is for CUDA 12.0 cu13 is for CUDA 13.0 
+    "numba>=0.61.2",
     "numpy<2.0",
     "pytest==8.4.1",
     "pytest-env==1.1.5",
@@ -21,6 +21,9 @@ dependencies = [
 dev = [
     "pre-commit==4.3.0",
 ]
+cuda = [
+    "numba-cuda[cu12]>=0.4.0",
+]
 extra = [
     "datasets==2.4.0",
     "embeddings==0.0.8",
@@ -30,7 +33,7 @@ extra = [
     "python-mnist",
     "streamlit==1.48.1",
     "streamlit-ace",
-    "torch==2.8.0",
+    "torch>=2.9.0",
     "watchdog==1.0.2",
     "altair==4.2.2",
 ]