12/27/2021

Anaconda Macos Install

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Conda install -c anaconda pyserial Description. PySerial encapsulates the access for the serial port. It provides backends for Python running on Windows, OSX, Linux. Install anaconda on macOS with Homebrew. Ayuth Mangmesap. Windows, and Mac OS X. With over 11 million users worldwide, it is the industry standard for developing, testing.

Introduction

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).

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.

Let’s begin.

What is Anaconda Python?

Anaconda is a Python distribution maintained by Anaconda, Inc. (formerly Continuum Analytics), a company founded by two Python veterans: Peter Wang and Travis Oliphant.

Besides Python, it also supports R, and it does this cross-platform on Windows, macOS, and Linux.

What problem does Anaconda solve?

Most importantly, Anaconda tackles a frequent package management challenge faced by data scientists.

Package management with pip

Installing Python packages requires the use of a package manager, the most popular being pip. pip installs dependencies without checking whether they conflict with existing packages, so it might break them. Even worse, it can make them produce different results without the user’s knowledge.

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). 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.

Imagine having this in production code.

Package management with conda

For this reason, Anaconda uses its own package management system, conda. When installing or updating a package, it takes into account the whole environment and the user-defined package preferences. Then, it either tries to work out a configuration compatible with all dependencies or, at least, makes the conflicts explicit.

So, as a result, you do not have to be afraid that installing a new package could affect your entire data analytics workflow.

Package management, therefore, is a core feature of the Anaconda distribution. Besides this, however, there are further functionalities with their pros and cons.

We will review them in the next section.

The main differences between Anaconda and system Python

So, besides the different approach to package management, what are the main differences between the Anaconda distribution and the default system version of Python?

First, a side note. Very often, people compare Anaconda and pip as mutually exclusive alternatives, but as we will see, it is not that simple, as Anaconda is not only a package manager, but has other functionalities as well.

Here we will also compare Anaconda to pip, the Python default package manager.

Pros of using system Python

  • pip is the most straightforward way to install packages on Python
  • pip is often faster than conda (the package manager of Anaconda)
  • You get the most recent versions of each package
  • No company is involved

Cons of using system Python

  • Requires caution and possibly manual handling of dependencies
  • Relying on pip can be unstable and break dependencies
  • Cannot install non-Python packages

Pros of using Anaconda

  • Package management and dependency is more extensive as it can also track non-Python dependencies
  • It has its own native virtual environment management system which can integrate different Python versions
  • conda environments are isolated environments
  • Anaconda is a company, which ensures consistency and support for commercial applications
  • It comes with many useful and integrated applications for data science (most importantly Jupyter Notebook)
  • It is perhaps the most popular Python distribution nowadays, and the number one in data science development

Cons of using Anaconda

  • The package manager tends to be slow (although the Anaconda team has been actively working on this issue)
  • Often the packages are not the most recent version because they undergo a more thorough dependency checking
  • Not every package accessible through pip is also in conda, however some packages can be found in conda-forge, which is maintained by the user community
  • Installing packages using both pip and conda within the same environment can generate conflicts

Overall, we could say that it is best to use Anaconda for data-science related projects, and especially when managing a full ecosystem, including different Python versions and non-Python elements.

It might be better to stick to system Python, however, for building a customized and robust environment with a narrow focus on a particular Python version.

How to install Anaconda Python on macOS

The most straightforward way to install Anaconda is to download the appropriate installer from the official macOS download page. There you can download it by clicking on the link for your preferred version.

Anaconda Macos Install

Although it is still possible to download the Python 2.7 version, we recommend going for Python 3.7, as Python 2 is no longer supported.

Macos

There are both a graphical and a command-line installer available. By default, you should be fine with the graphical version. In this tutorial, we also follow that path.

After downloading the package, run it and follow its instructions.

Most of the steps are straightforward; the two main things you can alter are

  • The install location
  • Whether to install the PyCharm IDE as well

If you do not have specific preferences regarding these options, you can use the default location and skip the PyCharm installation.

After going through all the steps, you should see the following screen.

Congratulations, you have successfully installed the Anaconda Python distribution!

Anaconda 2019.03 for macos installer

Now, how should you proceed from here? In the next section, we will give you a quick overview of the things which you can do with Anaconda right away.

Getting started with Anaconda Python on Mac OS

Anaconda Navigator

You can use Anaconda both as a GUI (Anaconda Navigator) or through the command line (conda). If you are just getting started with it, we advise you to use the GUI version.

On macOS, you can open the Navigator by opening the Launchpad, and then clicking the Anaconda Navigator icon.

Applications coming with the Anaconda distribution

The home screen of the Navigator shows you the applications which come with the Anaconda distribution.

We do not have space to discuss them in detail, but here is a quick overview of them:

  • Jupyter Notebook: A popular web-based interactive environment frequently used by data scientists.
  • JupyterLab: The next-generation user interface extending Jupyter Notebook with multiple functionalities.
  • Qt Console: A lightweight terminal-like environment supporting many of the IPython-based GUI features of Jupyter Notebook.
  • Spyder: A Python IDE explicitly designed for data science purposes.
  • Glueviz: A linked-view data visualization package.
  • Orange: A component-based visual programming software package designed for data analytics and machine learning applications.
  • RStudio: An R IDE popular among data scientists using R.
  • Visual Studio Code: The popular IDE. If you launch it from the Navigator, it runs with the configurations of the currently selected environment.

Jupyter Notebook

If you are using Anaconda Python, you probably want to use it with Jupyter Notebook.

(If you are not familiar with Jupyter Notebook, you might want to try it, as it is a handy tool. We’ve also written a specific guide about it on our blog.)

You can start it directly by clicking on the “Launch” button in the Navigator’s Home screen (see above), or with the jupyter notebook command from the terminal.

This should open a new tab in your browser, similar to the one below. It will show you files in your home folder.

You can create a new notebook by clicking on the “New” button at the top-right.

This will open a new tab with the new notebook, where you can start working on your data science project.

Conclusion

Anaconda

In this article, we reviewed what the Anaconda Python distribution is and its main benefits.

Its core advantage (especially when compared to pip) is its robust package management system. It also provides an excellent environment management process and several tools (including Jupyter Notebook), all tailored for data science functionalities.

We also reviewed the main steps of installing Anaconda and starting the Navigator and Jupyter Notebook.

As you can see, Anaconda is a well thought through and carefully-designed distribution. It provides a sound development environment and frees up time you otherwise would have spent on unnecessary grunt work.

Are you interested in learning more about it? We can teach you the intricacies of Anaconda Python and how you can use it for machine learning and data science.

Learn the essentials of deep learning with Zero to Deep Learning today. Sign up here to get started.

  • How to install Anaconda Python on your Mac - June 15, 2020
  • How to effectively measure a classifier’s performance and interpret its metrics - May 11, 2020
  • How to choose the correct loss function for your neural network - April 15, 2020

Review the system requirements listed below before installing Anaconda Individual Edition. If you don’t want the hundreds of packages included with Anaconda, you can install Miniconda, amini version of Anaconda that includes just conda, its dependencies, and Python.

System requirements

The Earth Engine Python API can be installed to a local machine via conda, a Python package and environment manager. Conda is bundled with Anaconda and Miniconda Python distributions. Anaconda is a data science programming platform that includes 1500+ packages, while Miniconda includes only conda and its dependencies. Anaconda is distinguished in its many functional abilities, which include managing system packages, computing and processing large-scale data, influencing predictive analytics, and performing programming in the Python language. This article shows you how to install Anaconda in Ubuntu 20.04.

Anaconda macos installer
  • License: Free use and redistribution under the terms of the ../eula.
  • Operating system: Windows 8 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 6+, and others.
  • If your operating system is older than what is currently supported, you can find older versions of the Anaconda installers in our archive that might work for you. See Using Anaconda on older operating systems for version recommendations.
  • System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
  • Minimum 5 GB disk space to download and install.

Anaconda Python Install Mac

On Windows, macOS, and Linux, it is best to install Anaconda for the local user,which does not require administrator permissions and is the most robust type ofinstallation. However, if you need to, you can install Anaconda system wide,which does require administrator permissions.

Silent mode install

You can use silent mode toautomatically accept default settings and have no screen prompts appear duringinstallation.

Using Anaconda on older operating systems

We recommend upgrading your operating system. Most OS that are no longersupported in the latest Anaconda are no longer getting security updates.Upgrading your OS allows you to get the latest packages, performanceimprovements, bug fixes, etc.

To use Anaconda on older operating systems, download from our archive.You will not be able to use conda to update or install packages beyondthe Anaconda version noted in the table below, unless you limit it toversions available at the time that particular version of Anacondawas released.You can see what was available by checking the package table archives.

Outdated operating system support
Operating systemHow to install Anaconda
macOS 10.10-10.12; Windows 7Use the command line or graphical installers for Anaconda versions 2019.10 and earlier. Download from our archive.
macOS 10.9

Use the command line or graphical installers for Anaconda versions5.1 and earlier.

Note

Qt and other packages released after Anaconda Distribution 5.1 (February 15th, 2018)may not work on macOS 10.9, so it may be necessary to not update certain packages beyond this point.

macOS 10.7 and 10.8Use the command line installers for Anaconda versions 4.2 and earlier.
macOS 10.5 and 10.6

Use the command line installers for Anaconda versions 1.8 and earlier.

Windows XPUse Anaconda versions 2.2 and earlier.
Centos5 (or equivalent)Use Anaconda versions 4.3 and earlier.

Installing Anaconda on a non-networked machine (air gap)

  1. Obtain a local copy of the appropriate Anaconda installer for the non-networked machine. You can copy the Anaconda installer to the target machine using many different methods including a portable hard drive, USB drive, or CD.
  2. After copying the installer to the non-networked machine, follow the detailed installation instructions for your operating system.

Note

Anaconda Python Install Mac Os

You can install offline copies of both docs.anaconda.com and enterprise-docs.anaconda.com by installing the conda package anaconda-docs: condainstallanaconda-docs

You can install offline copies of documentation for many of Anaconda’s open-source packages by installing the conda package anaconda-oss-docs: condainstallanaconda-oss-docs

Anaconda Python Install Pandas

Other ways to get Anaconda or Miniconda

You can find the official Anaconda or Miniconda AMIs on the AWS Marketplace.

You can find the official Anaconda and Miniconda Docker images on Docker Hub.

Anaconda Python Install Package

If you have a CDH cluster, you can install the Anaconda parcel using Cloudera Manager. The Anaconda parcel provides a static installation of Anaconda, based on Python 2.7, that can be used with Python and PySpark jobs on the cluster.

Anaconda Python Install Mac Dmg

Troubleshooting

Anaconda Macos Installation

If you experience errors during the installation process,review our Troubleshooting topics.

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