EDA Python - 24 Anaconda Environments

The video tutorial explains the importance of setting up separate environments in Anaconda for different projects to avoid package conflicts. It guides users on checking the Conda version, listing existing environments, creating new ones, and managing packages within these environments. The tutorial also touches on advanced setup options, such as specifying Python and package versions, and concludes with best practices for environment management.

Why is it important to create separate environments for different projects in Anaconda?

• To avoid package conflicts between projects

• To make Python more secure

• To save disk space

• To improve the speed of Python

What command is used to check the version of Conda installed?

• conda --version

• conda -V

• conda version

• conda check version

Which command lists all the environments available in Anaconda?

• conda env list

• conda env show

• conda show environments

• conda list env

What is the correct command to create a new environment named 'dataviz'?

• conda new env dataviz

• conda init dataviz

• conda create --name dataviz

• conda make env dataviz

How do you activate an environment named 'dataviz'?

• conda run dataviz

• conda activate dataviz

• conda start dataviz

• conda open dataviz

What command is used to deactivate the current environment and return to the base environment?

• conda close

• conda stop

• conda deactivate

• conda exit

Which of the following is NOT an advanced feature of setting up environments in Anaconda?

• Specifying a particular version of Python

• Copying settings from an existing environment

• Changing the color of the terminal

• Installing packages automatically