Jupyter Notebook Tutorial (2023)

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, engineers, and professionals. Beginning 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.**Lessons**Jupyter IntroductionInstall Anaconda on Windows for Jupyter NotebookLaunch Jupyter Notebook for the first timeCreate 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 JupyterDownload Notebook in various formats on Jupyter NoteBookImport Notebook into Jupyter NotebookOpen already created NoteBookKeyboard Shortcuts in Jupyter***Python Version***We 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 time
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: Download & Import
Lecture 12 Download 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
Homepage