Anaconda is gaining popularity especially in Data science, In this post, I will tell you about what is anaconda and Anaconda vs python programming.
Anaconda is a Data science platform or distribution for Python and R languages. Anaconda comes with a lot of Data Science related packages and also, Anaconda is widely used in the industry. It is quite complete and avoids problems in building libraries that you need from source code, that frequently plague one by one installation of those libraries by tools like pip.
Anaconda is popular because it brings together all the tools used in data science and machine learning in one installation and you have a short and easy setup. There are few reasons for that.
When you install Anaconda, it comes with,
conda
, Anaconda’s own package manager, used for updating Anaconda and packages.Miniconda is the same as anaconda but the only defiance I found mention below in the table.
Miniconda | Anaconda |
Anaconda comes with 100+ packages but Miniconda comes without any packages, you have to install packages individually as you need. | Anaconda is a Data science platform or distribution for Python and R languages. Anaconda comes with 100+ packages by default. |
There is a lot of difference between anaconda and python programming. The below table describes the difference between anaconda vs python programing.
Python | Anaconda | |
Definition | Python is a high-level general-purpose programming language used for development, servers, ML, and data science | Anaconda is a distribution of Python used in Data science and ML |
Package Manager | Python comes with pip package manager by default. | Anaconda has conda package manager. |
Category | Belongs to Programming Languages. | Belongs to Enterprise Data Science Tools. |
Applications | Python is not only used in data science and ML but also in a variety of applications in embedded systems, backend, and networking. | Anaconda is mainly developed to support Data Science and ML. |
If you still confused with the difference between anaconda vs python programming, comment out I will definitely clear your doubts.
There is a lot of difference between anaconda and R programming. The below table describes the difference between anaconda vs R programing.
R (Programming language) | Anaconda | |
Definition | R is a language and environment for statistical computing and graphics. | Anaconda is a distribution of R programming language used in Data science and ML. |
Package Manager | R comes with an “R-packages” manager by default. | Anaconda has conda package manager. |
Category | Belongs to Programming Languages. | Belongs to Enterprise Data Science Tools. |
Applications | R is widely used in the industry for solving ML and data science problems. | Anaconda is mainly developed to support Data Science and ML. |
If you still confused with the difference between anaconda vs R programming, comment out I will definitely clear your doubts.
Follow this step-by-step guide to install Anaconda.
Now Anaconda is successfully installed on your desktop.
Now use the Anaconda prompt (CLI) or use Anaconda Navigator (GUI) for any of those to use anaconda properly.
Anaconda Navigator is a desktop GUI that comes with Anaconda Individual Edition. It makes it easy to launch applications and manage packages and environments without using command-line commands.
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