Setting Up Your Development Environment
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Step-by-step guide to install Python, R, and essential data science tools on your computer.
Setting Up Your Development Environment
Getting your computer ready for data science does not have to be complicated. This guide walks you through installing the essential tools.
What You Will Install
- Python - The most popular language for data science
- R - Essential for statistical analysis
- VS Code - A powerful, free code editor
- Jupyter Notebooks - Interactive coding environment
Installing Python
Option 1: Anaconda (Recommended for Beginners)
Anaconda bundles Python with common data science libraries.
- Visit anaconda.com/download
- Download the installer for your operating system
- Run the installer with default settings
- Open Anaconda Navigator from your applications
Anaconda includes: NumPy, Pandas, Matplotlib, Jupyter, and 250+ other packages.
Option 2: Standard Python + pip
For a lighter installation:
- Visit python.org/downloads
- Download Python 3.11 or later
- During installation, check "Add Python to PATH"
- Open terminal and verify:
python --version
Then install common packages:
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