Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 259.95 MB | Duration: 0h 37m

Learn Jupyter Notebook and run Python programs on the web browser

What you'll learn

Learn to work with Jupyter Notebook to run Python projects

Learn to work with Python Libraries on Jupyter

Customize the Jupyter appearance

Be able to program in Python professionally using Jupyter Notebook

Gain an in-depth understanding of Jupyter Notebook

Requirements

A computer

Internet Connection

Basic knowledge of Computer usage

No paid software required

Description

In this Video Course, learn Jupyter Notebook and its concepts. Jupyter is an open-source web application to run Python programs with ease. It supports over 40 programming languages, including Python, R, Scala, etc. In this course, we have covered the following lessons with live running examples. Let's start with the first lesson.This Jupyter Notebook Tutorial is for students, eeers, and professionals. Bning with the introduction, you will learn how to set the environment for Jupyter and start working with it to create new projects and run Python programs. We have also shown how to setup and run Python libraries on Jupyter. Step-by-step lessons are provided covering topics, which will help you in preparing basic to advanced-level Python programming on Jupyter Notebook.LessonsJupyter IntroductionInstall Anaconda on Windows for Jupyter NotebookLaunch Jupyter Notebook for the first Create a new NoteBook on JupyterWorking with Cells in JupyterTypes of Cells in JupyterAdd Headings in JupyterShow line numbers in JupyterSetup Numpy on JupyterSetup Pandas on JupyterSetup Matplotlib Jupyter Notebook in various formats on Jupyter NoteBookImport Notebook into Jupyter NotebookOpen already created NoteBookKeyboard Shortcuts in JupyterPython VersionWe have covered Python 3 and all the examples are implemented on Jupyter Notebook.Let's start the journey!Hit the Enroll button!

Overview

Section 1: Jupyter Notebook - Introduction

Lecture 1 Introduction

Section 2: Setup Jupyter Notebook

Lecture 2 Install Anaconda on Windows for Jupyter Notebook

Lecture 3 Launch Jupyter Notebook for the first

Lecture 4 Create a new Notebook in Jupyter

Section 3: Settings

Lecture 5 Working with Cells in Jupyter

Lecture 6 Types of Cells in Jupyter

Lecture 7 Add Headings in Jupyter

Lecture 8 Show line numbers in Jupyter

Section 4: Setup Libraries in Jupyter

Lecture 9 Setup Numpy in Jupyter

Lecture 10 Setup Pandas in Jupyter

Lecture 11 Setup Matplotlib in Jupyter

Section 5: & Import

Lecture 12 Notebook in various formats on Jupyter

Lecture 13 Import Notebook into Jupyter

Lecture 14 Open already created Notebook in Jupyter

Lecture 15 Keyboard Shortcuts in Jupyter

Those who want to code in Python,Those who want to enhance their Python Programming Skills.,Those who want an easier interface to run Python

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