Difference between Anaconda and Python Pip

Let’s look at some of the differences between Anaconda and Python Pip in this tutorial. If you’re working in Data Science( DS ) or Machine Learning( ML ), Anaconda is the superior choice due to its pre-configured packages and environment management.

What is Anaconda?

Anaconda is a distribution of Python and R for data science, machine learning, and scientific computing, including package management and environment tools. It comes with popular libraries like NumPy, Pandas, and TensorFlow, making it easy to set up and manage dependencies.

What is Pip?

PIP (Package Installer for Python) is a tool used to install and manage Python packages from the Python Package Index (PyPI). It allows users to easily install, upgrade, and remove libraries with simple commands.

Anaconda vs. Python Pip

Difference between Anaconda and Pip are as follows:

Feature	Anaconda (Conda)	Python Pip
Package Manager	Conda	Pip
Environment Mgmt	Yes	No
Pre-installed Libraries	7500+	Limited
Data Science Focus	Yes	No
Speed	Faster	Slower