REST APIs with Flask and Python - Virtualenvs and Setting up Flask-RESTful

The video tutorial introduces REST principles and the Flask Restful library, an extension to Flask that simplifies creating REST APIs. It covers setting up a new project with a virtual environment to manage Python libraries and dependencies effectively. The tutorial explains how to create and activate virtual environments, ensuring projects do not share libraries, and demonstrates installing Flask Restful within this environment.

What is the primary purpose of using Flask Restful?

• To increase the flexibility of Flask

• To improve the performance of Flask applications

• To simplify the creation of REST APIs

• To enhance the security of web applications

Why is it important to set up a virtual environment for a new project?

• To increase the speed of the application

• To reduce the size of the project files

• To ensure a clean installation of Python

• To share libraries across projects

What problem might occur if you update Flask to a new version in an existing project?

• The project might gain new features

• The project might use less memory

• The project might become incompatible

• The project might run faster

What command is used to create a virtual environment with Python 3.5?

• virtualenv -p python3.5

• python3.5 create venv

• python3.5 -m venv

• virtualenv --python=3.5

How can you activate a virtual environment on a Windows system?

• venv activate

• activate venv

• venv\Scripts\activate.bat

• source venv/bin/activate

What is the benefit of using 'pip freeze' in a virtual environment?

• To remove unused libraries

• To list all installed libraries and their versions

• To optimize the performance of the environment

• To update all libraries to the latest version

What does the presence of '(venv)' in the command prompt indicate?

• The virtual environment is active

• The project is running in debug mode

• The system is in safe mode

• The Python version is outdated