A first look at Anaconda's PyScript

Pyscript is an experimental project by Anaconda that allows Python to be used as a scripting language in web pages, complementing JavaScript. The video tutorial introduces Pyscript, demonstrates basic setup with a 'Hello World' example, and explores advanced features like using Python libraries and async functions. It also covers interactive elements, REPL, data handling, and performance considerations. The tutorial concludes with a discussion on the current state and future potential of Pyscript.

What is the primary goal of Pi Script as introduced by Anaconda?

• To develop a new programming language

• To create a new Python distribution

• To allow Python to be used as a scripting language in web pages

• To replace JavaScript entirely

What is the first step in creating a simple Pi Script example?

• Writing Python code directly in the HTML body

• Including Pi Script in the web page's head block

• Installing a Python interpreter on the server

• Using a JavaScript library to run Python

How does Pi Script handle Python code within a web page?

• By running Python code on a remote server

• By embedding Python code in CSS

• By using a custom Pi Script tag to include Python code

• By converting Python code to JavaScript

Which Python feature allows Pi Script to update a web page regularly?

• Running a Python server

• Using the print function

• Importing the math module

• Utilizing async and coroutines

What is the purpose of the Pyenv tag in Pi Script?

• To define the Python version to use

• To list third-party packages required for the program

• To set the execution environment

• To specify the output format

How is the interaction between JavaScript and Python handled in Pi Script?

• Through a server-side API

• By using WebSockets

• Via a two-way interaction in the browser

• By converting Python code to JavaScript

What is one potential improvement mentioned for Pi Script's performance?

• Caching packages locally in the browser

• Using a faster JavaScript engine

• Reducing the size of Python libraries

• Running Python code on a dedicated server