- Anaconda (32-bit)
- Download Anaconda (32-bit) Latest Version
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- Freeware
- Open Source
- Free to Play
- Trial
- Как установить Anaconda на Windows
- Подписывайтесь на канал в Дзене
- Your data science toolkit
- Build machine learning models
- The open-source community at your fingertips
- User interface makes learning easier
- Anaconda for the enterprise
- Anaconda Individual Edition 2020.11
- Enterprise-grade package repository
- Data science meets the enterprise
- Learn more about Anaconda Team Edition
- Your clearinghouse for build artifacts
- Key Features
- There’s a Team Edition package that’s right for your data science organization
- Grow with us
- Store and distribute
- View reports and monitor
- Search and filter
- But isn’t open-source software safe on its own?
- Let’s Talk!
- Thank You!
Anaconda (32-bit)
Anaconda 3 2020.02 (32-bit) LATEST
Windows 7 / Windows 8 / Windows 10
Anaconda (32-bit) 2021 full offline installer setup for PC
- Quickly download 1,500+ Python/R data science packages
- Manage libraries, dependencies, and environments with Conda
- Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano
- Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba
- Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews
Directly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production. Anaconda Python provides the tools needed to easily:
- Collect data from files, databases, and data lakes
- Manage environments with Conda (all package dependencies are taken care of at the time of download)
- Share, collaborate on and reproduce projects
- Deploy projects into production with the single click of a button
Download Anaconda (32-bit) Latest Version
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- Anaconda 3 2020.02 (32-bit)
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Each software is released under license type that can be found on program pages as well as on search or category pages. Here are the most common license types:
Freeware
Freeware programs can be downloaded used free of charge and without any time limitations. Freeware products can be used free of charge for both personal and professional (commercial use).
Open Source
Open Source software is software with source code that anyone can inspect, modify or enhance. Programs released under this license can be used at no cost for both personal and commercial purposes. There are many different open source licenses but they all must comply with the Open Source Definition — in brief: the software can be freely used, modified and shared.
Free to Play
This license is commonly used for video games and it allows users to download and play the game for free. Basically, a product is offered Free to Play (Freemium) and the user can decide if he wants to pay the money (Premium) for additional features, services, virtual or physical goods that expand the functionality of the game. In some cases, ads may be show to the users.
Demo programs have a limited functionality for free, but charge for an advanced set of features or for the removal of advertisements from the program’s interfaces. In some cases, all the functionality is disabled until the license is purchased. Demos are usually not time-limited (like Trial software) but the functionality is limited.
Trial
Trial software allows the user to evaluate the software for a limited amount of time. After that trial period (usually 15 to 90 days) the user can decide whether to buy the software or not. Even though, most trial software products are only time-limited some also have feature limitations.
Usually commercial software or games are produced for sale or to serve a commercial purpose.
Как установить Anaconda на Windows
- Скачайте установщик Anaconda.
- РЕКОМЕНДУЕТСЯ: проверить целостность данных с SHA-256.
- Кликните два раза по файлу с установочной программой.
Чтобы избежать ошибок доступа, не запускайте установку из папки «Избанное».
Если при установке появляются проблемы, попробуйте временно отключить антивирусное ПО, а затем снова включить его после установки. Если Anaconda была установлена для всех пользователей, нужно удалить ее и переустановить для одного пользователя.
Устанавливайте Anaconda в папку, имя которой не содержит пробелов и символов unicode (например, кириллицу)
Не устанавливайте с правами Администратора, если такие не запрашивались
Для установки Anaconda без PyCharm просто нажмите кнопку «Далее» (Next)
Подписывайтесь на канал в Дзене
Полезный контент для начинающих и опытных программистов в канале Лента Python разработчика — Как успевать больше, делать лучше и не потерять мотивацию.
Your data science toolkit
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.
Anaconda 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.
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.
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.
The open-source community at your fingertips
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.
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.
Anaconda for the enterprise
With Anaconda’s Team and Enterprise Editions, our stack can handle the most advanced enterprise data science requirements.
Anaconda Individual Edition 2020.11
Nov 20, 2020
We are pleased to announce the release of Anaconda Individual Edition 2020.11!
You’ll find 119 package updates and 7 newly added packages since the last release of the installer in July. Package updates include:
- astropy 4.0.2
- beautifulsoup4 4.9.3
- bokeh 2.2.3
- dask 2.30.0
- ipython 7.19.0
- jupyterlab 2.2.6
- matplotlib 3.3.2
- networkx 2.5
- notebook 6.1.4
- numba 0.51.2
- numpy 1.19.2
- openpyxl 3.0.5
- pandas 1.1.3
- pillow 8.0.1
- python 3.8.5
- scikit-image 0.17.2
- scikit-learn 0.23.2
- scipy 1.5.2
- sphinx 3.2.1
- spyder 4.1.5
- sqlalchemy 1.3.20
- statsmodels 0.12.0
- sympy 1.6.2
Anaconda Individual Edition 2020.11 includes a new release of Anaconda Navigator — version 1.10.0.
A long requested feature, Navigator now remembers the last environment used instead of loading the default environment each time. This release includes improved integration with Anaconda Team Edition — including an improved login experience.
Also, there are many configuration improvements including being able to modify the conda configuration file (.condarc) directly from the GUI, modify the Navigator configuration file (anaconda-navigator.ini) directly from the GUI, and more.
You’ll also notice new tiles for PyCharm Pro, PyCharm Community, Datalore, and IBM Watson Studio Cloud on the Home tab.
There were also quite a few other bug fixes and improvements — to see the full list please visit the Anaconda Navigator 1.10.0 release notes here.
Note: If you only want to upgrade to the latest version of Anaconda Navigator from 1.9.x, you’ll need to do so in a terminal or command line — as that version of Anaconda Navigator has a bug that will not allow upgrading to 1.10.0 from the GUI. This is fixed in 1.10.0.
This will be the last Anaconda Individual Edition Linux x86_64 installer that supports the CentOS-6 system ABI. CentOS-6 End of Life is slated for November 30, 2020 and at that point new security updates and bug fixes are no longer provided. It is strongly recommended that users upgrade to a newer version of CentOS or other Linux distribution that is compatible with the CentOS-7 system ABI.
You can find the full release notes for Anaconda Individual Edition 2020.11 here.
Update to Anaconda 2020.11 now with conda install anaconda=2020.11, or download and install Anaconda 2020.11.
Enterprise-grade package repository
The only repository built for data science in the enterprise. Manage open-source packages and dependencies with a mirrored repository built by Anaconda—the birthplace of Python data science.
Data science meets the enterprise
As the newest discipline in the enterprise, data science teams can feel like they’re on an island. Keep your data science team on the same page as the rest of the organization, especially IT and DevOps, by managing open-source packages according to enterprise security standards.
Access more than 7,500 open-source packages (Conda-Forge, CRAN, PyPI) from your central enterprise repository and add your own proprietary packages. Get Conda package updates in real time, as they are released.
Block, exclude, and include packages according to your enterprise standards. Control which packages your team can download and who can access them. Keep vulnerabilities and unreliable software out of your data science and machine learning pipeline, and manage dependent packages with ease.
Distribute packages across user channels, and give users quicker access to the open-source software they need through caching proxies. Packages are delivered automatically to your workflow.
Datasheet
Learn more about Anaconda Team Edition
Your clearinghouse for build artifacts
When you mirror our repository for data science and machine learning packages onto your own infrastructure, you’re in control of the quality of artifacts your team uses in enterprise projects.
Bring the power of open-source innovation to your organization with Conda packages and metadata carefully curated by the Anaconda team.
Key Features
- CVE reporting
- User access control
- Organized, searchable package metadata
- Mirror on-prem or in the cloud
- Block and safelist packages
- Administer and track artifact history
- Compliant for commercial use according to the Anaconda Terms of Service
There’s a Team Edition package that’s right for your data science organization
| Feature Name | Starter | Scale | Strategic |
|---|---|---|---|
| Pricing (Annual) | $10,000 | $25,000 | $50,000 |
| Certified Implementation (required one-time fee) | $2,500 | $2,500 | $5,000 |
| Users | Up to 5 | Up to 20 | Up to 50 |
| Support | Basic | Basic | 24hr SLA |
| Training | Video Quick Start | Video Quick Start | Video Quick Start |
| Additional Users | $1,000 per user (max 19) | Talk to Sales (max 49) | Talk to Sales |
| Feature Name | Starter | Scale | Strategic |
|---|---|---|---|
| Pricing (Annual) | $10,000 | $25,000 | $50,000 |
| Certified Implementation (required one-time fee) | $2,500 | $2,500 | $5,000 |
| Users | Up to 5 | Up to 20 | Up to 50 |
| Support | Basic | Basic | 24hr SLA |
| Training | Video Quick Start | Video Quick Start | Video Quick Start |
| Additional Users | $1,000 per user (max 19) | Talk to Sales (max 49) | Talk to Sales |
Grow with us
Join our Strategic Adopter program when you become a Team Edition customer. Give us your feedback and help guide future developments in exchange for preferential pricing. Contact sales to learn more.
Store and distribute
- Easily distribute any Python/R binary artifacts to end users, package managers, and CI servers
- Retrieve and store artifacts and their dependencies throughout the development lifecycle
- Centralize access to packages: mirror external packages and share internal packages to increase productivity and optimize resources
- Upload your own custom-built packages
- Supports many binary artifact types (Conda, CRAN, and PyPI)
- REST APIs with full SwaggerUI Docs or CLI tool
View reports and monitor
- Platform reporting and monitoring
- Bug fixes and security-sensitive releases
- Integration with package libraries for CVE reports
Search and filter
- Search package metadata
- Designed with audit trail and package history in mind
- Add your own metadata to each artifact
But isn’t open-source software safe on its own?
Generally, yes. Open-source software has more eyes on it, and it is more transparent than proprietary software. However, like all software, it still has vulnerabilities. Without constant monitoring and proper management, vulnerabilities are likely to creep in over time. Learn more in our Enterprise Guide to a Secure Data Science Pipeline.
Contact Sales
Let’s Talk!
Fill out the form to see Anaconda Team Edition in action. We look forward to helping you accelerate your data science journey.
Thank You!
An Anaconda team member will be in touch soon. In the meantime, check out some of the great resources from our library.
If you have any questions, please email: [email protected] .
