Jupyter Notebook overview for all Python developers

Jupyter Notebook overview for all Python developers, available at Free, has an average rating of 3.95, with 8 lectures, based on 181 reviews, and has 3756 subscribers.

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You will learn about Anaconda Installation Jupyter Notebook Introduction Jupyter Notebook Interface Walkthrough Cell Types & Modes Shortcuts & Magic commands Publishing & Sharing Jupyter Notebook This course is ideal for individuals who are Python Developers or Data Scientists or Data Analysis It is particularly useful for Python Developers or Data Scientists or Data Analysis.

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Summary

Title: Jupyter Notebook overview for all Python developers

Price: Free

Average Rating: 3.95

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Anaconda Installation

Jupyter Notebook Introduction

Jupyter Notebook Interface Walkthrough

Cell Types & Modes

Shortcuts & Magic commands

Publishing & Sharing Jupyter Notebook

Who Should Attend

Python Developers

Data Scientists

Data Analysis

Target Audiences

Python Developers

Data Scientists

Data Analysis

This course is designed for all python developers who are eager to learn different features and functions of Jupyter notebook. This course will provide you complete knowledge and understanding of frequently used Jupyter notebook features. With the help of this course, your productivity and coding skills will reach the next level.

This course is for all the developers from beginners to advance, if you are a new Python developer or an experienced one, you will definitely learn something new in this course.

We’ll start our course with an introduction to Anaconda and Jupyter notebook. After the introduction, Anaconda installation will be performed and I will show you how to start writing code in Jupyter Notebook. Our next step will be to go through Menu tabs and all options inside each tab to get familiar with their functions. We’ll also look at Cell types, Modes, Shortcuts and Magic Commands. At the end we’ll see how can we publish the Jupyter notebook file on a website or blog and how can we share it with other team members.

Course Curriculum

Chapter 1: Course

Lecture 1: Introduction

Lecture 2: Course Overview

Lecture 3: Anaconda Installation

Lecture 4: Jupyter Notebook Interface Walkthrough

Lecture 5: Cell Types & Modes

Lecture 6: Shortcuts & Magic Commands

Lecture 7: Publishing & Sharing Jupyter notebook

Lecture 8: Jupyter Notebook Extentions

Instructors

Muhammad Omer
Microsoft Certified Power BI Professional

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 27 votes

4 stars: 65 votes

5 stars: 85 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!