Asked by: Sashko Oldenburger
asked in category: General Last Updated: 14th April, 2020

Is Anaconda the best for Python?

Anaconda. Now, if you are primarily doing data science work, Anaconda is also a great option. Anaconda is created by Continuum Analytics, and it is a Python distribution that comes preinstalled with lots of useful python libraries for data science.

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Subsequently, one may also ask, which is better anaconda or python?

Anaconda python is faster than vanilla python: they bundle Intel MKL and this does make most numpy computations faster. You can easily do a local user install, no need to ask permission from your admin in many cases (you may face web proxy issues though)

Subsequently, question is, what's the difference between python and anaconda 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.

Also, what does anaconda do python?

Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.

Should I use Anaconda or PIP?

Another key difference between the two tools is that conda has the ability to create isolated environments that can contain different versions of Python and/or the packages installed in them.

Comparison of conda and pip.

dependency checksyesno
package sourcesAnaconda repo and cloudPyPI
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