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Discussions

Anaconda: Yay or Nay? Any particular reason to use it over the out-of-the-box regular Python?

I’ve always found it to be a headache personally. Environment management isn’t that complicated. You can manage everything with venv (and optionally a requirements.txt if you’re collaborating). I’ve heard uv is good as well but I haven’t used it myself. More on reddit.com

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May 5, 2025

Confusion between Python and Anaconda - Stack Overflow

Recently I have started programming in Python (Python 3.5) on my Linux OS. But I am confused about Anaconda. What is it actually? Is it a version of Python or something else? If I do not install An... More on stackoverflow.com

stackoverflow.com

Can someone explain why people use Anaconda for Python?

It's a "batteries included" solution especially for scientific computing, data science, etc. It includes a buttload of packages that the average Python dev will never touch, but that are indispensable to people who use Python based tools not necessarily devs. I don't use it myself. More on reddit.com

r/Python

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September 8, 2018

How is Anaconda related to Python? - Stack Overflow

I am a beginner and I want to learn computer programming. So, for now, I have started learning Python by myself with some knowledge about programming in C and Fortran. Now, I have installed Python More on stackoverflow.com

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Anaconda

package manager, environment manager, and Python (and related packages) distribution

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Anaconda is an open source data science and artificial intelligence distribution platform for Python programming language. Developed by Anaconda, Inc., an American company founded in 2012, the platform is used to develop … Wikipedia

Factsheet

Developers Anaconda, Inc. (previously Continuum Analytics)

Initial release 0.8.0 / 17 July 2012; 13 years ago (2012-07-17)

Stable release 2025.06-1
/ 23 June 2025; 9 months ago (2025-06-23)

Factsheet

Developers Anaconda, Inc. (previously Continuum Analytics)

Initial release 0.8.0 / 17 July 2012; 13 years ago (2012-07-17)

Stable release 2025.06-1
/ 23 June 2025; 9 months ago (2025-06-23)

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Anaconda (Python distribution) - Wikipedia

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Python Environment Setup (Anaconda)

Anaconda is an easy-to-install and free Python/R software distribution with a collection of 7,500+ open source packages (including R). When you install Anaconda, over 250 packages are automatically installed along with Python.

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How to Install Python through Anaconda - Library Workshop Descriptions - Research Guides at University of Oregon Libraries

1 week ago - Information, materials, and schedules for all currently offered library workshops This page describes how to install python via anaconda.

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reddit.com › r/learnpython › anaconda: yay or nay? any particular reason to use it over the out-of-the-box regular python?

r/learnpython on Reddit: Anaconda: Yay or Nay? Any particular reason to use it over the out-of-the-box regular Python?

May 5, 2025 -

Howdy!

I've started messing with python for data analysis and general automation some time ago. You know, csv, Excel, pandas and the like. So using Anaconda was kind of implied, since it apparently was 'easier' to use because it is oriented for Data Analysis. I'm not a software dev or data scientist, but I use python for ETL scripts and other simple automation tasks.

Recently, I've been thinking if it is actually better to use Anaconda or not. I've had a couple of issues with it at my job and with some personal projects that made me think that Anaconda is just a second-hand Python installation and package/venv manager on top of a regular Python installation, which should not be necessary.

It might be easier and simpler to just use the regular python for everything.

I mean, are there modules available with Anaconda that aren't available with a regular pip? If I don't use Anaconda, am I blocking myself out of some important functionality that will actually give me some benefit? Am I right to assume that Anaconda adds an extra layer of configuration that can cause issues when dealing with configurations in general (venvs, installed libraries, interpreters, etc)?

Should I just uninstall everything related to Anaconda and do a fresh python install? What is the general opinion about Anaconda?

Cheers!

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I’ve always found it to be a headache personally. Environment management isn’t that complicated. You can manage everything with venv (and optionally a requirements.txt if you’re collaborating). I’ve heard uv is good as well but I haven’t used it myself.

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If you don't need Anaconda Navigator nor any other GUI tool that comes with it, there's no point. You can easily manage your virtual environments and packages with pip and venv - or, even better, with uv.

Anaconda

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Anaconda Distribution - Anaconda

The Most Trusted Distribution for Data Science Anaconda® Distribution is a Python/R data science distribution that contains:

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anaconda.com › home › topics › anaconda vs. python: what’s the difference?

Anaconda vs. Python: What’s the Difference? | Anaconda

September 15, 2025 - As the most popular programming ... applications. Anaconda is a distribution that hosts essential Python packages, tools like Jupyter and RStudio, and a package manager called Conda....

Stack Overflow

stackoverflow.com › questions › 43535202 › confusion-between-python-and-anaconda

Confusion between Python and Anaconda - Stack Overflow

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Anaconda is a commercial Python distribution and collection of hundreds of packages related to data science, scientific programming, development and more. Python is included in the Anaconda distribution. It is not an IDE (like PyCharm that mentioned in the comments) though it can be configured with most IDEs. I will note that the distribution includes an IDE called Spyder. It also comes with a platform-agnostic package manager called conda.

You can read more here: https://docs.continuum.io/anaconda/

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Anaconda is a popular Python data science platform.

Anaconda is a commercial distribution of:

Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment.

Also, you can very well install Anaconda for any operating system i.e linux or windows. They have navigator which will be of great use to launch modules available.

Anaconda while installing asks Python version :

Find more about anaconda at :

Official Website

Anaconda Docs

reddit.com › r/python › can someone explain why people use anaconda for python?

r/Python on Reddit: Can someone explain why people use Anaconda for Python?

September 8, 2018 -

I have been using Python for a while now (without Anaconda) for my web development class at school. I noticed that a lot of people use Anaconda for Python, so I decided to see what it was. After trying it out myself it seems like a Python environment with pre-installed libraries. Why don't people just install Python and add libraries when they need them? I'm sorry if this is a silly question, but, what is the purpose of Anaconda?

Edit: Thank you for all the answers! I think I have a better idea of why people use Anaconda. I think for my purposes I can stick to using venv and install packages when I need them.

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It's a "batteries included" solution especially for scientific computing, data science, etc. It includes a buttload of packages that the average Python dev will never touch, but that are indispensable to people who use Python based tools not necessarily devs. I don't use it myself.

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I use python for image and signal processing and just moved away from anaconda. It is very convenient in the beginning but solving environments with conda ended up taking too long once I had installed a few libraries. I also find more on pip than on conda and conda-forge. Also have had to reinstall conda twice due to conda not being able to update due to it wanting to uninstall something that it says it needs? I came to python from matlab and anaconda was great because it installed everything you needed for you. Whereas python back then was a pain to get started with (in my view). Now python comes with pip so getting started is super easy.

InfoWorld

infoworld.com › home › software development › programming languages › python

Get started with Anaconda Python | InfoWorld

May 15, 2025 - But various projects deliver Python ... can benefit from, too. The Anaconda distribution is a repackaging of Python aimed at developers who use Python for data science....

Stack Overflow

stackoverflow.com › questions › 42096280 › how-is-anaconda-related-to-python

How is Anaconda related to Python? - Stack Overflow

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Anaconda is a commercial python and R distribution. It aims to provide everything you need (Python-wise) for data science "out of the box".

It includes:

The core Python language
100+ Python "packages" (libraries)
Spyder (IDE/editor - like PyCharm) and Jupyter
conda, Anaconda's own package manager, used for updating Anaconda and packages

Your course may have recommended it as it comes with these extras but if you don't need them and are getting on fine with vanilla Python that's OK too.

Learn more: https://www.anaconda.com/distribution/

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Anaconda is a Python distribution that makes it easy to install Python plus a number of its most often used 3rd party libraries in a flexible way on a Windows or Linux machine.

My experiences with it are very positive, both on Windows and Linux. It is quite complete and avoids problems in building libraries that you need from source code, that frequently plague one by one installations of those libraries by tools like pip.

By the way: It's very wise to start with 3.5 or 3.6 since 2.7 is approaching the end of its lifecycle, though many applications still depend on it.

As for tutorials: Pythons own docs are quite suitable for learning the language.

https://docs.python.org/3/tutorial/

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anaconda.com › home › blog › python 3.7 package build out & miniconda release

Anaconda | Python 3.7 Package Build Out & Miniconda Release

September 4, 2018 - We are pleased to announce that Python 3.7 packages for all supported platforms and packages of the Anaconda Distribution Repository (repo.anaconda.com) are now available.

reddit.com › r/python › why use anaconda?

r/Python on Reddit: Why Use Anaconda?

April 19, 2019 -

Hi, I'm pretty new to python and I was wondering why do you use Anaconda and should I use it, and also what are some downsides of it

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I tend to install Miniconda (Anaconda’s much smaller sibling distribution) as a way to get ‘conda’ (the package manager), and then use conda to create environments for each project. Conda has some really nice features: You can entirely define an environment, including the version of python, using ‘environment.yml’ files It has a much more powerful dependency solver than pip, making it less likely you’ll end up with an inconsistent environment It tries to install everything as a transaction It (sort of) works with pip The Anaconda team maintains the core scientific stack you get when you install Anaconda, but the the “conda forge” channel includes a lot of the other major Python packages not included in Anaconda.

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It gives you all the standard packages used in scientific computing in a convenient package without having to worry about installing them all individually with their dependencies. If you don't plan on using typical scientific computing packages (numpy, matplotlib, scipy, pandas, etc.) or any of the packaged software (jupyter notebooks, spyder IDE), then the only downside is that you're downloading software that you might not need. Regardless if you go with a distribution like Anaconda or just a fresh python environment, it's useful to learn about environment management and package installation with pip and venv or conda. Besides the convenience, there's not going to be a major difference between using anaconda vs setting up your own environment. It's all the same python underneath the hood.

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Anaconda for Windows - Download it from Uptodown for free

4 days ago - Anaconda is a free and open source distribution of the programming languages Python and R, designed to simplify the management of packages and environments in data science, machine learning, and data analytics projects.