Difference Between Anaconda and Python Programming l Anaconda vs Python Programming


The key difference between Anaconda and Python Programming is that Anaconda is a distribution of the Python and R programming languages for data science and machine learning while Python Programming is a high-level, general-purpose programming language.

Anaconda can be used for other applications, but it is mainly used for Data Science and Machine learning tasks. It includes large-scale data processing, predictive analytics, scientific computing etc. Further, it simplifies the package management and deployment. On the other hand, Python is a general-purpose programming language. Therefore, it helps to develop various applications in data science, machine learning, embedded systems, computer vision, web development, networking programming and many more.

CONTENTS

1. Overview and Key Difference
2. What is Anaconda
3. What is Python Programming
4. Relationship Between Anaconda and Python Programming
5. Side by Side Comparison – Anaconda vs Python Programming in Tabular Form
6. Summary

What is Anaconda

Anaconda is a free data science platform. It is possible to install it depending on the operating system Windows, Linux, MacOS. It consists of Python and R distributions and the package manager called conda. Anaconda provides a bunch of pre-installed libraries and packages. Some of them are NumPy, SciPy, Pandas, Scikit learn, nltk, and Jupiter. Anaconda Enterprise is the Anaconda’s commercial product. It allows business organizations to develop enterprise level, scalable and secure applications

However, to perform Data Science Tasks, one can install python and then install packages using pip as required. Anaconda is an alternative, and it provides all required packages at once. So, it is more convenient for the users. Both methods perform the same task. The developers can choose either one of them depending on the preference. Usually, the data science community prefer Anaconda as it solves a lot of common issues at the initial stage as well as throughout the development process. Overall, Anaconda makes data science and machine learning tasks easier.

What is Python Programming

Python is a high-level, general-purpose programming language. It is free, open source and cross-platform. It also supports data types such as numerical values, strings, lists, tuples, and dictionaries. Python is a multi-paradigm programming language and supports procedural programming and object-oriented programming. Moreover, it is an interpreter-based language. The interpreter reads the source code line by line. Therefore, it is a slow language comparing to compiler-based languages such as C, C++.

Difference Between Anaconda and Python Programming l Anaconda vs Python Programming

The syntax of this language is simple and easy to learn. Therefore, this language simplicity helps to develop algorithms and solve problems within a minimum time. Another advantage is that it is easier to build powerful Graphical User Interfaces. In addition to that, python supports databases such as MySQL, MSSQL. Overall, Python is a general-purpose language that allows building a variety of applications. It is popular among beginners as well as a developer.

What is the Relationship Between Anaconda and Python Programming

  • Anaconda is written in Python.

What is the Difference Between Anaconda and Python Programming

Anaconda is a distribution of the Python and R programming languages while Python is a high-level general purpose programming language. The organization Anaconda, Inc. (Continuum Analytics) developed Anaconda. On the contrary, Guido van Rossum designed Python language and Python Software Foundation further developed the language. Anaconda provides conda as the package manager whereas Python language provides pip as the package manager. Python pip allows installing python dependencies. On the other hand, Anaconda conda allows installing python and non-python library dependencies.

Furthermore, Anaconda is mainly used for Data Science and Machine Learning. Python is used in a variety of applications such as embedded systems, computer vision, web development, networking programming including machine leaning and data science. Generally, Python has a large community than Anaconda.

Difference Between Anaconda and Python Programming l Anaconda vs Python Programming

Summary – Anaconda vs Python Programming

The difference between Anaconda and Python Programming is that Anaconda is a distribution of the Python and R programming languages for data science and machine learning while Python Programming is a high-level, general-purpose programming language.

Reference:

1.Tutorials Point. “Python Overview.” , Tutorials Point, 5 Oct. 2017. Available here
2.“Anaconda (Python Distribution).” Wikipedia, Wikimedia Foundation, 27 May 2018. Available here 

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