Besides this, however, there are further functionalities with their pros and cons. Package management, therefore, is a core feature of the Anaconda distribution. So, as a result, you do not have to be afraid that installing a new package could affect your entire data analytics workflow. Then, it either tries to work out a configuration compatible with all dependencies or, at least, makes the conflicts explicit. When installing or updating a package, it takes into account the whole environment and the user-defined package preferences. Package management with condaįor this reason, Anaconda uses its own package management system, conda.
#How to install anaconda python on mac install#
Now, when we install some other package that depends on a different version of NumPy, it could break our machine learning library or generate inconsistent results. To give an example, let’s say we are already using a machine learning package depending on NumPy (the most widely used numerical computation package for Python). Even worse, it can make them produce different results without the user’s knowledge. pip installs dependencies without checking whether they conflict with existing packages, so it might break them. Installing Python packages requires the use of a package manager, the most popular being pip. Most importantly, Anaconda tackles a frequent package management challenge faced by data scientists. (formerly Continuum Analytics), a company founded by two Python veterans: Peter Wang and Travis Oliphant.īesides Python, it also supports R, and it does this cross-platform on Windows, macOS, and Linux.
#How to install anaconda python on mac how to#
In this article, we will give you a high-level overview of the benefits of using the Anaconda Python distribution for machine learning, and we will guide you step-by-step on how to install it on your computer.Īnaconda is a Python distribution maintained by Anaconda, Inc.
Anaconda is the most popular Python distribution among data scientists, mostly because it makes their life easier in multiple ways (which we will discuss below).
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