Anaconda Python Mac Download

Posted : admin | On 16-04-2021



This tutorial will help you to install Anaconda for Mac OS.

Anaconda is both a package manager, python distribution and is incredibly useful for data tasks as it comes bundled with many scientific packages including sci-kit learn, SciPy, Pandas and NumPy.

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 first time I decided to download Anaconda, I went through the normal graphical Mac installation. It worked fine as an application, but it just wouldn’t work with my terminal. It worked fine as an application, but it just wouldn’t work with my terminal.

Additionally it’s the recommended method for installing Jupyter Notebooks.

Installing Anaconda

Personally I prefer to install Python via the graphical interface because it’s a friendly and easy method.

1. Firstly visit the Anaconda website where you will have the choice to install either Python 2.7 or Python 3. I would recommend downloading the Python 3x. because this will be more supported in the future.

2. After successfully downloading Anaconda, locate it within your download folder and double click on the .pkg file.

3. Click continue.

4 – You will now start the Anaconda3 installer process, click continue.

5. The installer provides a notification saying that it will update your bash profile and will install Anaconda3 within your PATH. Click continue.

6. Click continue to reveal the License Agreement.

7. Now you will need to read and click Agree for the Anaconda licensing agreement, then click continue.

7. Click on the install button.

8. You will need to enter your password which is the same as your Mac login password. Then click Install Software.

9. Click on Continue.

10. After completing the installation simply click close. Then you can move the Anaconda installer file to the trash bin.

Anaconda Frequently Answered Questions

To see whether Anaconda is installed on your Mac operating system, simply visit the Mac terminal and type Conda info. If Anaconda is installed you will see detailed information for both the Anaconda distribution and Python version.
To check the current version of Python open a new terminal on your Mac. Now type the following command into your terminal python--version if you do chosen to select the python3 distribution you will have received received something that looks like this on your screen that shows you the exact Python version that you’re using and if it has anaconda then you can safely know that anaconda is your main Python distribution
Anaconda does automatically install with Python anaconda is an environment and package distribution software for python and therefore you can choose between either Python 2.7 or a python 3 x
You do not need to install Python before installing or running anaconda.
To find where python has installed on your Mac simply open a new terminal window. Then type echo $PATH . You can activate any customised Conda environments with the following command: Conda activate environment name

Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. If you’re looking for a hassle-free data science platform, this is the one for you.

Extensive packages

Anaconda is leading the way for innovative data science platforms for enterprises of all sizes.

Anaconda provides you with more than 1,500 packages in its distribution. In it you will find the Anaconda navigator (a graphical alternative to command line interface), Conda package, virtual environment manager, and GUI. What makes Conda different from other PIP package managers is how package dependencies are managed. PIP installs Python package dependencies, even if they’re in conflict with other packages you’ve already installed. So, for example, a program can suddenly stop working when you’re installing a different package with a different version of the NumPy library. Everything will appear to work but, you data will produce different results because you didn’t install PIP in the same order. This is where Conda comes in. It analyzes your current environment and installations. This includes version limitations, dependencies, and incompatibility. As an open source package, it can be individually installed from the Anaconda repository, Anaconda Cloud or even the conda install command.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.

Extend your reach with Anaconda Navigator

The built in graphical user interface or GUI allows you to launch applications while managing Conda packages, environments and channels. This means the GUI will complete the process of installing packages without asking for a command-line command. It even includes these applications by default: JupyterLab & Jupyter Notebook / QtConsole / Spyder / Glueviz / Orange / RStudio / Visual Studio Code.

Where can you run this program?

Anaconda 2019.07 has these system requirements:

- Operating system: Windows 7 or newer, 64-bit macOS 10.10+, or Linux, including Ubuntu, RedHat, CentOS 6+.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- 5 GB disk space or more.

Affine

Anaconda developers recommends you to install Anaconda for the local user so you won’t need administrator permissions. Or, you can opt to install Anaconda system wide, which does require administrator permissions.

Is there a better alternative?

Anaconda Python Mac Download

If you’re looking for simple Python-dedicated environment, then you need PyCharm. Targeted specifically for Python programmers, this integrated development environment is filled with programming tools that can impress both new and experienced developers. It provides all the tools in a centralized system so you can increase your efficiency and effectiveness. Features like code analysis, graphical debugger, and unit tester helps you integrate Python programs with version control systems. In fact, every single output you make will be capable of web development from different web frameworks like Django, web2py, and Flask. It offers automated tools like code refactorings, PEP8 checks, and testing assistance to create your code, but what stands out the most is Smart Assistance. It fixes any of your errors or complete portions of your code. With PyCharm, you can expect a neat and maintainable code.

Our take

Anaconda’s host of innovative options makes it the best data science platform for all enterprises. By offering superior collaboration tools, scalability, and security, you never have to worry about gathering big data again.

Should you download it?

Difference Between Anaconda And Python

If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.

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