Getting started with data science involves setting up a few key tools. In this guide, we’ll walk through the installation of:
- Python
- Anaconda
- Jupyter Notebooks
1. Python Installation
Before installing a specific version of Python, it’s good practice to check if you already have it installed and which version you’re using.
Check Existing Python Installation
To find the path of the current Python executable, use:
which python
To check the version of Python installed, run:
python -V
Using pyenv for Python Version Management
To manage different versions of Python, we’ll use pyenv . pyenv simplifies the process of installing and switching between multiple Python versions.
Install pyenv
You can install pyenv using Homebrew. Run the following commands:
brew update
brew install pyenv
Manage Python Versions with pyenv
Here are some useful pyenv commands:
- List available python versions:
pyenv install -l
- Install a specific Python version:
pyenv install 3.10
- Set a global Python version:
pyenv global 3.10
- Set a local Python version for a directory:
pyenv local 3.10
- Upgrade
pyenv
brew upgrade pyenv
2. Installing Anaconda
Anaconda is a popular distribution for data science that simplifies package management and deployment.
Install Anaconda:
- Visit the Anaconda website and download the installer for your operating system.
- Once the download is complete, run the installer and follow the on-screen instructions to complete the installation.
3. Installing Jupyter Notebooks
Jupyter Notebooks are an essential tool for data analysis and visualization.
Install Jupyter Lab
pip install jupyterlab
Launch Jupyter Lab
After installation, start Jupyter Lab with:
jupyter lab
This command will open Jupyter Lab in your web browser, where you can create and manage notebooks.
Summary
By following these steps, you’ll have Python, Anaconda, and Jupyter Lab set up and ready for your data science projects. Each tool plays a crucial role in developing and managing your data science workflows efficiently.