In Windows you can search for anaconda prompt in the Window search bar and in Mac OS simply find the terminal by searching for terminal in the finder. Figure 1 — Mac OS terminal. On Mac: Install into /Applications/ or /Applications/. Download and install the most recent version of Anaconda for your operating system. We assume it is installed in a directory named anaconda3. Regardless of the installer, we will be working with Python 3.8 On Windows: open the Anaconda Prompt (found under the Anaconda3 start menu).
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 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.
- Method 2 − Another way of installing packages is by the use of terminal or an Anaconda Prompt − conda install opencv. Above command will install OpenCV package into your current environment. To install specific a specific version of a opencv package − conda install opencv-3.4.2.
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.
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.
- 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.
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?
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?
If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.
5.0.0
With over 20 million users worldwide, the open-source Individual Edition (Distribution) is the easiest way to perform Python/R data science and machine learning on a single machine. Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.
?Open SourceAnaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.
?Conda PackagesSearch our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python and many other packages.
?Manage EnvironmentsIndividual Edition is an open source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a cross-platform manner. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.
Build machine learning models
Build and train machine learning models using the best Python packages built by the open-source community, including scikit-learn, TensorFlow, and PyTorch.
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The open-source community at your fingertips
Anaconda Command Prompt
With Anaconda Individual Edition, the open-source world is your oyster. From robotics to data visualization, you can access the open-source software you need for projects in any field.
Open Source
User interface makes learning easier
Anaconda Navigator is a desktop GUI that comes with Anaconda Individual Edition. It makes it easy to launch applications and manage packages and environments without using command-line commands.
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda.org.
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Anaconda for the enterprise
With Anaconda's Team and Enterprise Editions, our stack can handle the most advanced enterprise data science requirements.
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What is Anaconda used for?
Anaconda MovementPyViz Data VisualizationScalable Machine LearningGetting started with Anaconda
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda Cloud.
Documentation
Review documentation for Anaconda Individual Edition.Starter Video
Watch a short video to get started using Individual Edition.Support
Have a question or need to submit a pull request? Visit our Github page.Anaconda Installers
Windows
Python 3.8
64-Bit Graphical Installer (466 MB)32-Bit Graphical Installer (397 MB)MacOS
Python 3.8
64-Bit Graphical Installer (462 MB)64-Bit Command Line Installer (454 MB)Linux
Python 3.8
64-Bit (x86) Installer (550 MB)64-Bit (Power8 and Power9) Installer (290 MB)Additional Installers
The archive has older versions of Anaconda Individual Edition installers. The Miniconda installer homepage can be found here.