conda create environment python 3 6 with code examples

Conda is a popular open-source package management system and environment management system for Python and other programming languages. It is widely used for managing the installation of packages and creating isolated environments for different projects. In this article, we will see how to create an environment with Python 3.6 using conda.

Before we begin, make sure you have conda installed on your system. If not, you can install it from the Anaconda website (https://www.anaconda.com/products/distribution).

Creating a conda environment with Python 3.6:

1. Open your terminal or command prompt.

2. To create an environment with Python 3.6, use the following command:

conda create --name env_name python=3.6

Here, replace env_name with the name of your environment. This will create a new environment with Python 3.6 as the default Python version.

3. To activate the environment, use the following command:

conda activate env_name

4. To verify the Python version in your environment, use the following command:

python --version

You should see the output Python 3.6.x, where x represents the minor version number.

5. To install packages in your environment, use the conda install command, followed by the package name. For example, to install the numpy package, use the following command:

conda install numpy

6. To deactivate the environment, use the following command:

conda deactivate

7. To delete the environment, use the following command:

conda remove --name env_name --all

Note that this will permanently remove the environment and all packages installed in it.

That's it! You now know how to create a conda environment with Python 3.6 and manage packages within it. This is useful for keeping different projects separate and avoiding version conflicts between packages.

In conclusion, conda is a powerful tool for managing packages and creating isolated environments for your projects. With just a few commands, you can create a custom environment with the specific version of Python and packages you need for your project.
Managing packages in a conda environment:

Conda makes it easy to manage packages in an environment. You can install packages using the conda install command, update packages using the conda update command, and remove packages using the conda remove command.

For example, to update the numpy package in your environment, use the following command:

conda update numpy

To remove the numpy package from your environment, use the following command:

conda remove numpy

It is important to note that when you remove a package from an environment, it will not be removed from your system. It will only be removed from the current environment.

You can also create a list of packages to be installed in an environment using a file called environment.yml. This file lists the packages and their versions, making it easier to replicate the environment on different systems. To create an environment using an environment.yml file, use the following command:

conda env create --file environment.yml

Exporting and importing environments:

You can also export an environment to share with others or import an environment from another system.

To export an environment, use the following command:

conda env export --file env_name.yml

Here, replace env_name with the name of your environment. This will create a .yml file containing the environment and its packages.

To import an environment, use the following command:

conda env create --file env_name.yml

This will create a new environment with the same packages as the exported environment.

Using virtual environments with conda:

In addition to creating conda environments, you can also create virtual environments using conda. A virtual environment is a self-contained directory that contains its own installation of Python and packages.

To create a virtual environment, use the following command:

conda create --name env_name --prefix path/to/env

Here, replace env_name with the name of your environment and path/to/env with the path to your virtual environment.

Activating and using a virtual environment is similar to activating and using a conda environment. Use the conda activate command to activate the virtual environment, and use the conda deactivate command to deactivate it.

In conclusion, conda is a powerful tool for managing packages and environments in Python. With its ability to create, manage, and share environments, conda makes it easy to work on multiple projects with different packages and Python versions.

Popular questions

1. What is Conda and what is it used for?

Conda is a popular open-source package management system and environment management system for Python and other programming languages. It is widely used for managing the installation of packages and creating isolated environments for different projects.

2. How do I create a conda environment with Python 3.6?

To create a conda environment with Python 3.6, use the following command in your terminal or command prompt:

conda create --name env_name python=3.6

Replace env_name with the name of your environment.

3. How do I activate a conda environment?

To activate a conda environment, use the following command:

conda activate env_name

Replace env_name with the name of your environment.

4. How do I install packages in a conda environment?

To install packages in a conda environment, use the conda install command followed by the package name. For example, to install the numpy package, use the following command:

conda install numpy

5. How do I delete a conda environment?

To delete a conda environment, use the following command:

conda remove --name env_name --all

Replace env_name with the name of your environment. This will permanently remove the environment and all packages installed in it.

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Conda