Anaconda vs Python – Difference and Comparison

What is Anaconda?

Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (included in the Top 500 supercomputers). They aim to simplify package management and deployment.

The package management system CONDA manages package versions. Anaconda is available for download for Windows, macOS, and Linux operating systems.

Anaconda is a Python bundle distribution for data science (i.e., Jupyter Notebook and RStudio).

They provide pre-compiled binaries of numerical libraries, such as NumPy and SciPy. Anacondas can be used for any development. It is most popular among Python developers, who use it for data science and machine learning.

The package management system CONDA manages package versions. Anaconda Navigator is a graphical user interface (GUI). It included an application in Anaconda. They allow users to launch applications and collect packages.

What is Python?

Python is a versatile programming language that can be used for a wide range of tasks, from web development to machine learning. Its popularity is due in part to its relatively simple syntax and readability.

Python has a large community of developers who contribute to its open-source libraries, making it a powerful tool for anyone looking to get started with coding.

Python is a programming language with many features. Python is a high-level, interpreted, general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, “There’s only one way to do it, and that’s why it works.”

It is recommended for programming beginners. It is in high demand and relatively simple to learn. Python is a versatile scripting language.  

They are used for automating tasks and powering significant sites like Google and Instagram.

Difference Between Anaconda and Python

Anaconda is a distribution of Python that comes with many pre-installed packages for data science.  Python is a general-purpose programming language that you can use for anything from web development to data science.

Anaconda is more like a programming language. Python is a scripting language. Anaconda is used for big data. Python is used more for data science and artificial intelligence.

Anaconda is a distribution of the Python and R programming languages. It is used for large-scale data processing, scientific computing, and predictive analytics.

Python is a general-purpose programming language. They are widely used in web development, artificial intelligence, and scientific computing.

Comparison Between Anaconda and Python

Parameter of ComparisonAnacondaPython
DefinitionAnaconda is a free and open-source distribution of the Python and R programming languages, which are used for scientific computing.Python is a high-level, general-purpose programming language that is used for machine learning and data science.
CategoryAnaconda is designed for data science tools. It includes over 1,500 Python and R packages.Python belongs to the category of programming languages.
Created byAnaconda was created by Continuum Analytics.Python was created by Guido van Rossum.
Package ManagerConda is a package manager for Anaconda programming.Python has pip as the package manager.
User ApplicationsAnaconda was created mainly to assist with data science and machine learning activities.Python is utilized in data science and machine learning, but also in embedded devices, web development, and networking programs.
Package ManagementPython and non-Python library dependencies can be installed using the package manager Conda.All Python dependencies can be installed using the package manager pip.

References

  1. https://ieeexplore.ieee.org/abstract/document/848091/