Anaconda¶
In this article
Information
Anaconda Distribution is a comprehensive platform for effective data science, providing a wide range of tools for Python programming. This powerful ecosystem is designed to meet the needs of both experienced data scientists and beginners just starting their journey in this field.
Anaconda: Key Features¶
- Intelligent Package Management: The core of Anaconda is the conda package manager, which significantly simplifies the installation, updating, and management of libraries. It automatically resolves dependencies between packages and supports creating isolated virtual environments.
- Data Analysis and Visualization Tools: Includes a wide range of libraries for data processing and analysis, as well as powerful visualization tools. Integrates interactive development environments for convenient data exploration.
- Optimized Machine Learning Workflow: Contains popular machine learning frameworks, provides tools for data preprocessing, model building, and evaluating their effectiveness.
- Active Community and Support: Features an extensive knowledge base, including documentation, tutorials, and community forums. Regularly updated and offers commercial support for corporate users.
- Security and Compliance: Includes tools for checking package security and compliance with licensing agreements. Provides capabilities for working in closed environments.
- Scalability: Supports working with large datasets and distributed computing. Allows for easy transfer of projects from local development to cloud and cluster solutions.
Deployment Features¶
| ID | Name of Software | Compatible OS | VM | BM | VGPU | GPU | Min CPU (Cores) | Min RAM (Gb) | Min HDD/SDD (Gb) | Custom Domain | Active |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 156 | Anaconda | Ubuntu 22.04 | + | + | + | + | 2 | 2 | 5 | No | ORDER |
- Pre-installed Components:
- Python
- Conda(package and environment manager)
- Anaconda Navigator (graphical user interface)
- Jupyter Notebook and JupyterLab (core version)
- Key Pre-installed Libraries:
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- SciPy
- Statsmodels
- Seaborn
- Additional Tools:
- Spyder (integrated development environment for scientific computing)
- Expansion Capabilities:
- Access to 508 pre-installed packages
- Integration with PyPI for access to additional packages
- Project Working Directory:
/root/anaconda3.
Note
Unless otherwise specified, by default we install the latest release version of software from the developer's website or operating system repositories.
Getting started after Anaconda deployment¶
After purchasing an order, you'll receive a notification at the email address registered during signup, indicating the server is ready. This will include the VPS IP address, as well as login and password for connection. Our company's clients manage equipment via server management panel and API — Invapi.
Authentication data, which can be found in the Info >> Tags tab of the server management panel or in the email sent:
- Login:
root; - Password: Sent to your email address after the server is ready for use following software deployment.
To work with the service, connect to the server via SSH:
Note
Detailed information on basic Anaconda settings can be found in the developer documentation.
Ordering a server with Anaconda using the API¶
To install this software using the API, follow these instructions.
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