Fix: Ubuntu 20 virtual enviromnt and Python 3.7

 Creating a virtual environment in Ubuntu 20.04 and installing Python 3.7 within it can be done with the following steps:


1. **Update Your System**:

   Before you start, it's a good practice to ensure that your package list and installed packages are up to date. Open a terminal and run the following commands:


   ```bash

   sudo apt update

   sudo apt upgrade

   ```


2. **Install Python 3.7**:

   Ubuntu 20.04 comes with Python 3.8 by default. To install Python 3.7, you'll need to add a PPA (Personal Package Archive) and then install it. Run the following commands:


   ```bash

   sudo apt install software-properties-common

   sudo add-apt-repository ppa:deadsnakes/ppa

   sudo apt update

   sudo apt install python3.7

   ```


3. **Install Virtual Environment**:

   If you don't have `virtualenv` installed, you can install it using pip (Python's package manager):


   ```bash

   sudo apt install python3-pip

   sudo pip3 install virtualenv

   ```


4. **Create a Virtual Environment**:

   Now, you can create a virtual environment with Python 3.7. Navigate to the directory where you want to create the virtual environment and run:


   ```bash

   virtualenv -p /usr/bin/python3.7 myenv

   ```


   This command creates a virtual environment named "myenv" with Python 3.7.


5. **Activate the Virtual Environment**:

   To activate the virtual environment, use the following command:


   ```bash

   source myenv/bin/activate

   ```


   Your terminal prompt should change to indicate that you're now in the virtual environment.


6. **Install Python Packages**:

   You can now install any Python packages you need within this virtual environment using `pip`. For example:


   ```bash

   pip install package-name

   ```


7. **Deactivate the Virtual Environment**:

   When you're done working in the virtual environment, you can deactivate it with:


   ```bash

   deactivate

   ```


   This will return you to your system's Python environment.


Remember to activate the virtual environment every time you work on your project. This isolates your project's Python environment from the system Python and other projects, which is a good practice for managing dependencies.

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