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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.
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Anaconda Individual Edition is the worldâs 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. Download game pokemon battle fire.
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Search 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.
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Individual 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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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.
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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. https://cleverultimate989.weebly.com/blog/keepass-mac-os-x-download.
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda.org.
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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.
DocumentationReview documentation for Anaconda Individual Edition.Starter VideoWatch a short video to get started using Individual Edition.SupportHave a question or need to submit a pull request? Visit our Github page.Anaconda InstallersWindowsPython 3.864-Bit Graphical Installer (466 MB)32-Bit Graphical Installer (397 MB)MacOSPython 3.864-Bit Graphical Installer (462 MB)64-Bit Command Line Installer (454 MB)Python 2 For Mac Download Windows 10LinuxPython 3.864-Bit (x86) Installer (550 MB)64-Bit (Power8 and Power9) Installer (290 MB)Supercharge your data science efforts with Anaconda.
Note: A bugfix release, 2.7.16, is currently available. Its use is recommended.
Python 2.7.0 was released on July 3rd, 2010. Download chimera tool for mac.
Python 2.7 is scheduled to be the last major version in the 2.x series before itmoves into an extended maintenance period. This release contains many of thefeatures that were first released in Python 3.1. Improvements in this releaseinclude:
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The source tarballs are signed with Benjamin Peterson's key (fingerprint: 12EF3DC3 8047 DA38 2D18 A5B9 99CD EA9D A413 5B38). The Windows installer was signedby Martin von Löwis' public key, which has a key id of 7D9DC8D2. The Macinstallers were signed with Ronald Oussoren's key, which has a key id ofE6DF025C. The public keys are located on the download page.
MD5 checksums and sizes of the released files:
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