Python with virtual environment

From python website “Python is a programming language that lets you work quickly and integrate systems more effectively.”

So it will be a good decision to learn Python 3.x, though tons of project already done by Python 2.x. Gradually, most of them upgrading themselves.

Python is already installed in Mac and Linux. To find python, just open the terminal and write:

But for Windows, we need to install it. So, download Python 3.5.x and install. Just click, click and click. As simple as it is.

Now need to set the environment variable in Windows system:

1. Right-click Computer in the start menu > System Properties > Advanced system settings > Environment Variables

2. Select PATH in the System variables section

3. Click Edit

4. Add Python’s path to the end of the list (the paths are separated by semicolons). For example:

A Virtual Environment is an isolated working environment of Python which allows us to work on a specific project without worry of affecting other projects.

For example, if we can work on a project which requires Django 1.7 on Python 2.7.x while also maintaining a project which requires Django 2.0 on Python 3.x.

virtualenv:

As we will emphasize on Python 3.x, we can simply install virtual environment by-

Basic Usage:

Creating a virtual environment:

This creates a copy of Python in whichever directory you ran the command in, placing it in a folder named djproject.

Now, to begin using the virtual environment, it needs to be activated:

We can begin installing any new modules without affecting the system default Python or other virtual environments. To check the python env.

Now we can install django or any other module:

When we are done working in the virtual environment for the moment, you can deactivate it:

This puts you back to the system’s default Python interpreter with all its installed libraries.

To delete a virtual environment, just delete its folder.

Another way:

Another way of creating virtual environment:

or,

Some basic commands:

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