Python In Practice - 15 Projects to Master Python - Anaconda

Python In Practice - 15 Projects to Master Python - Anaconda

Assessment

Interactive Video

Information Technology (IT), Architecture, Other

University

Hard

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The video tutorial explains how to use Jupyter Notebook for tasks like data analysis, cleansing, and visualization. It guides viewers through installing Anaconda, which includes Jupyter Notebook, without needing a separate Python installation. The tutorial covers downloading Anaconda from the official website, running the installer, and launching Jupyter Notebook via the Anaconda prompt. It emphasizes keeping the Anaconda prompt open to maintain the connection for running Jupyter Notebook in a web browser.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Jupyter Notebook considered suitable for data scientists?

It is a standalone application.

It comes with pre-installed data science libraries.

It is only available on Windows.

It requires no installation.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step to install Anaconda?

Open the Anaconda Prompt.

Visit the Anaconda website.

Download Python separately.

Install Jupyter Notebook directly.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which platform does the narrator use for installing Anaconda?

Android

Windows

macOS

Linux

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do after installing Anaconda to start Jupyter Notebook?

Close the Anaconda Prompt.

Run the Anaconda Prompt and execute a command.

Install additional libraries.

Restart your computer.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to keep the Anaconda Prompt open while using Jupyter Notebook?

To access online resources.

To update the software.

To maintain the connection and run files.

To save your work automatically.