1. Introduction to Virtual Environments and Their Importance in Data Science Projects
2. Installation and configuration of virtual environments using venv
3. Using Anaconda for Managing Virtual Environments
4. Creating and activating a virtual environment
5. Installing the necessary libraries in a virtual environment
6. Managing dependencies and creating a requirements.txt file
7. Deactivation and deletion of virtual environments
Practical task: creation and configuration of a virtual environment for a project.
9. Conclusion and Recommendations on the Use of Virtual Environments in Projects

In conclusion, virtual environments play a crucial role in modern software development, particularly in managing dependencies and ensuring consistent project settings. Utilizing virtual environments helps to isolate project-specific packages and libraries from the global Python installation, preventing version conflicts and