anaconda python 3 7 linux
Download this code from https://codegive.com
Anaconda is a powerful open-source distribution of Python that comes with a variety of pre-installed scientific and data analysis packages. This tutorial will guide you through the installation of Anaconda Python 3.7 on a Linux system. We will cover downloading Anaconda, installing it, and verifying the installation.
Before you begin, make sure you have the following:
Open your web browser and go to the Anaconda download page. Choose the appropriate version for your Linux system (e.g., 64-bit or 32-bit) and download the installer script.
Alternatively, you can use wget in the terminal to download the script:
Replace the URL with the link to the latest Anaconda version.
Once the download is complete, navigate to the directory where the script is located using the terminal. Run the following command to start the installation:
Replace the script name with the actual name of the script you downloaded.
The installation wizard will guide you through the installation process. You will be prompted to review the license agreement, choose the installation location, and decide whether to initialize Anaconda in your shell profile.
Accept the license agreement and follow the prompts to complete the installation.
After the installation is complete, you may need to initialize Anaconda in your shell. You can do this by running:
Or for zsh users:
To verify that Anaconda is installed correctly, open a new terminal window and run:
This should display the installed version of Conda.
Now, let's create a new Conda environment with Python 3.7. Replace "myenv" with your preferred environment name:
Activate the environment:
You should see your prompt change to indicate that the environment is active.
With your Conda environment activated, you can install Python packages using conda install or pip install. For example:
or
Congratulations! You've successfully installed Anaconda Python 3.7 on your Linux system. You can now use Conda to manage environments and install packages for your data science and Python development projects.
ChatGPT