CS5720 - Setting Up Your Development Environment

🐍 Python Environment

Anaconda/Miniconda

Complete data science platform with package management

# Install Miniconda (lightweight) wget https://repo.anaconda.com/miniconda/Miniconda3-latest.sh bash Miniconda3-latest.sh

Virtual Environments

Isolated Python environments for project dependencies

# Create virtual environment python -m venv deep_learning_env source deep_learning_env/bin/activate # Linux/Mac # or deep_learning_env\Scripts\activate # Windows

📦 Package Installation

TensorFlow Setup

Install TensorFlow with GPU support

# TensorFlow with GPU support pip install tensorflow[and-gpu] # or CPU only pip install tensorflow

PyTorch Setup

Install PyTorch with CUDA support

# PyTorch with CUDA 11.8 pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 # or CPU only pip install torch torchvision torchaudio

🎯 Environment Setup Checklist

Install Python 3.8+ (3.14 recommended)
Set up package manager (conda or pip)
Create isolated environment for deep learning
Install deep learning framework (TensorFlow/PyTorch)
Install Jupyter Notebook/JupyterLab
Verify GPU support (if available)
Install essential libraries (NumPy, Pandas, Matplotlib)
Set up IDE (VS Code, PyCharm, or preferred editor)

Setting Up Your Development Environment

🐍 Python Environment

📦 Package Installation

🎯 Environment Setup Checklist

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