Anaconda¶

In this article

• Anaconda: Key Features
• Build Features
• Getting started after Anaconda deployment
• Ordering a server with Anaconda using the API

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.

Build Features¶

• Supported Operating System: Ubuntu 22.04 and Debian 11, 12.

• Pre-installed Components:

  • Python 3.12.4
  • Conda 24.5.0 (package and environment manager)
  • Anaconda Navigator 2.6.1 (graphical user interface)
  • Jupyter Notebook and JupyterLab (core version 5.7.2)
• Key Pre-installed Libraries:
  • NumPy 1.26.4
  • Pandas 2.2.2
  • Matplotlib 3.8.4
  • Scikit-learn 1.4.2
  • SciPy 1.13.1
  • Statsmodels 0.14.2
  • Seaborn 0.13.2
• Additional Tools:
  • Spyder 5.5.1 (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.

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:

ssh root@<server_ip>

Ordering a server with Anaconda using the API¶

To install this software using the API, follow these instructions.