If you have Anaconda installed, you will have conda package manager. Using conda , create a new virtual environment with Python 3.10 as the Python version (but first check Python 3.10 is available on Anaconda). The command to do that is: >conda create -n Py310 python=3.10.
Go to your windows 10 search section in the taskbar, and type in anaconda prompt. Something similar as the command prompt will pop up and you need to open that. This will give you the list of all the installed packages via conda and their versions in your computer.
anaconda is the metapackage that includes all of the Python packages comprising the Anaconda distribution. python=3.9 is the package and version you want to install in this new environment.
What is the difference between Anaconda and conda?
Where Anaconda is the hardware store of data science tools and Miniconda is the workbench (software distributions), Conda is the assistant (package manager) who helps you get new tools and customise your hardware store or workbench. The following are some helpful Conda commands you'll want to remember.
What is the difference between update and upgrade in conda?
update Updates conda packages to the latest compatible version. upgrade Alias for conda update. optional arguments: -h, --help Show this help message and exit. ... That is, there is no difference; upgrade is an alias for update .
Introduction. In this mini-tutorial, you will learn how to install Python (a computer programming language) and Anaconda (a distribution that automatically installs Python and a bunch of auxillary packages useful for data science).
Why Updating the Anaconda Package is Almost Always a Bad Idea. In most cases, updating the Anaconda package in the package list will have a surprising result—you may actually downgrade many packages (in fact, this is likely if it indicates the version as custom ).
Should I uninstall Python before installing Anaconda?
Even if you already have a system Python, another Python installation from a source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda.
Since ActiveState provides commercial support, ActivePython is the best choice for those focused on building commercial applications. Anaconda is a good choice for those focused on creating non-commercial data science applications since you can take advantage of Anaconda's proven Python ecosystem for free.
Check which Python version is installed by running python -V in your terminal. If you want to install a Python update, run the following two commands: sudo apt update. sudo apt install python3.
