When prompted, type y and press enter to continue the creation. Let’s create an environment using Python version 3.9.7 and call it anothertest: $ conda create -n anothertest python=3.9.7 Sometimes we need to build the environment ourselves. Building a virtual environment with commands Once the environment is created, we can activate the newly created environment like before. With the following command, we clone an environment called test and name the clone as testclone: $ conda create -n testclone -clone test # Short form $ conda create -name testclone -clone test # Long form Creating a virtual environment by cloningĪnother way to create virtual environment is to clone an existing environment.
We can also see the active environment name in () at the beginning of the command line as shown in the top left of the screenshot above. We can see the asterisk next to the new virtual environment: test. With Venv, we will need to use an additional tool to manage Python versions or install multiple Python versions before creating virtual environments. In other words, Conda makes it seamless to create virtual environments using different versions of Python. However, one obvious benefit of Conda over Venv is its ease of managing multiple Python versions. isolated and independent environments) with different versions of packages. Venv is an environment manager for Python.īoth Conda and Venv are great at managing virtual environments (i.e. As a result, there are times where a certain package will only be available for installation via Pip. While Pip gives access to a wider range of packages available on the Python Package Index (PyPI), Conda gives access to a relatively smaller range of packages available on its channels. This means both Conda and Pip can be used to install, update and remove packages in Python. By installing Miniconda, you get Conda, Python and a small number of packages installed.Īs we can see, Conda is included in both Anaconda and Miniconda. Miniconda is a mini-scale version of Anaconda.
a graphical user interface) and curated selection of packages installed. By installing Anaconda, you get Miniconda, Anaconda Navigator (i.e. As an environment manager, it can manage virtual environments.Īnaconda is the most popular Python distribution (i.e way of distributing Python to end users like you and me). As a package manager, Conda can install, update and remove packages. Conda vs Miniconda vs AnacondaĬonda is a language-agnostic tool for package management and environment management. A little bit about Conda and its related terms 📖īefore we dive into learning commands for managing virtual environments, it may be helpful to familiarise with a few common terms regarding Conda.
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