Jan 01, 2020 Install Anaconda (Python 3.7) on Mac OSX Catalina. Nonthakon Jitchiranant. If you are just getting started with Python development on a macOS, do the necessary configurations to make sure you're using the right version of Python from the start. Installing Python 3, with or without Homebrew, and using alias will let you start coding, but it's not a good strategy for the long run. Step-2: Install the Package. To install the Python package in Anaconda, simply follow the template that was introduced at the beginning of this guide: pip install package name. And since in our case, we are trying to install the cxOracle package, then the full syntax that you’ll need to type in the Anaconda Prompt is: pip install cxOracle. Graphical installers for Anaconda with Python 3 on macOS¶. Graphical installers for Anaconda with Python 3 on macOS. To verify the file integrity using MD5 or SHA-256, see cryptographic hash verification. Hashes for Anaconda3-2021.05-MacOSX-x8664.pkg. Hashes for Anaconda3-2021.04-MacOSX-x8664.pkg. Hashes for Anaconda3-2020.11-MacOSX-x8664.pkg.
- Anaconda works on Windows, Mac, and Linux, provides over 1,500 Python/R packages, and is used by over 15 million people. Anaconda is best suited to beginning users; it provides a large collection of libraries all in one.
- Once done, Anaconda will be installed. Install R Mac users. Step 1) Anaconda uses the terminal to install libraries. The terminal is a quick way to install libraries. We need to be sure to point the installation toward the right path. In our case, we set the location of Anaconda to the Users/USERNAME/.
Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages. An installation of Anaconda comes with many packages such as numpy, scikit-learn, scipy, and pandas preinstalled and is also the recommended way to install Jupyter Notebooks. 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.
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.
- 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.
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.
|Operating system||How to install Anaconda|
|macOS 10.10-10.12; Windows 7||Use the command line or graphical installers for Anaconda versions 2019.10 and earlier. Download from our archive.|
Use the command line or graphical installers for Anaconda versions5.1 and earlier.
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 10.8||Use 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 XP||Use 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)
- 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.
- After copying the installer to the non-networked machine, follow the detailed installation instructions for your operating system.
You can install offline copies of both docs.anaconda.com and enterprise-docs.anaconda.com by installing the conda package anaconda-docs:
You can install offline copies of documentation for many of Anaconda’s open-source packages by installing the conda package anaconda-oss-docs:
Install Python With Anaconda Macro
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.
Install Opencv Python Anaconda Mac
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.
If you experience errors during the installation process,review our Troubleshooting topics.
- Related Questions & Answers
- Selected Reading
There are multiple ways by which we can add packages to our existing anaconda environment.
Method 1 − One common approach is to use the “Anaconda Navigator” to add packages to our anaconda environment. Once “Ananconda Navigator” is opened, home page will look something like −
Go to Environments tab just below the Home tab and from there we can check what all packages are installed and what is not.
It is very easy to install any package through anaconda navigator, simply search the required package, select package and click on apply to install it. Let's suppose tensorflow packages are not installed in your computer, I can simply search the required package(like tensorflow), select it and click on apply to install it.
Method 2 − Another way of installing packages is by the use of terminal or an Anaconda Prompt −
Above command will install OpenCV package into your current environment.
Install Python With Anaconda Machine
To install specific a specific version of a opencv package −
We can install multiple packages at once, such as OpenCV and tensorflow −
Note − It is recommended to install all required packages at once so that all of the dependencies are installed at once.
To install a specific package such as opencv into your existing environment “myenv”(in case you have a virtual environment to install project specific packages).
Method 3 − If the package is not available in our conda environment or through anaconda navigator, we can find and install the package with another package manager like pip.
We can install pip in our existing conda environment by simply giving the command −
And your screen will be shown an output something like −
Now if you want to install any particular package, through pip in conda environment, we can do it like −
Above we have installed opencv package through pip in conda environment.
Viewing a list of installed packages
We can use the anaconda prompt, to list all of the packages in the active environment −