Practical Jupyter Notebook from Beginner to Expert
Practical Jupyter Notebook from Beginner to Expert, available at $44.99, has an average rating of 3.7, with 31 lectures, based on 30 reviews, and has 269 subscribers.
You will learn about Install Python, setup windows new terminal, install Jupyter notebook and create Jupyter notebook, create working directory and access it from the terminal Create, display and run .py file, run external IPython files, formating text with Markdown and HTML, run R and Javascript in Jupyter notebook Create, insert equations, embed images, audios and videos into Jupyter notebook and align them in Jupyter notebook Change themes, use widely used shortcuts, smart code completion plugin, multi-line cursors, popular magic commands , install packages directly in Jupyter notebo Create basic plots, interactive plots and interactive plot widget in Jupyter notebook Create a content table for a single or multiple notebooks, and convert notebook to a instant and live slideshow and a standalone web application Solve unavailable problem of Built-in terminal of Jupyter notebook on Windows, Solve problem of R unable to install packages on onedrive on Widows This course is ideal for individuals who are Programmers, business analysts, data analysts, statisticians, and data scientists, who want to learn how to use Jupyter notebook for code writing, data analysis and machine learning or It is also helpful to students and academic faculties, who are learning and teaching Python, data analysis and modelling, and machine learning. or But it can be for anyone who loves Python and Jupyter notebook for his/her projects It is particularly useful for Programmers, business analysts, data analysts, statisticians, and data scientists, who want to learn how to use Jupyter notebook for code writing, data analysis and machine learning or It is also helpful to students and academic faculties, who are learning and teaching Python, data analysis and modelling, and machine learning. or But it can be for anyone who loves Python and Jupyter notebook for his/her projects.
Enroll now: Practical Jupyter Notebook from Beginner to Expert
Summary
Title: Practical Jupyter Notebook from Beginner to Expert
Price: $44.99
Average Rating: 3.7
Number of Lectures: 31
Number of Published Lectures: 31
Number of Curriculum Items: 31
Number of Published Curriculum Objects: 31
Original Price: CA$189.99
Quality Status: approved
Status: Live
What You Will Learn
- Install Python, setup windows new terminal, install Jupyter notebook and create Jupyter notebook, create working directory and access it from the terminal
- Create, display and run .py file, run external IPython files, formating text with Markdown and HTML, run R and Javascript in Jupyter notebook
- Create, insert equations, embed images, audios and videos into Jupyter notebook and align them in Jupyter notebook
- Change themes, use widely used shortcuts, smart code completion plugin, multi-line cursors, popular magic commands , install packages directly in Jupyter notebo
- Create basic plots, interactive plots and interactive plot widget in Jupyter notebook
- Create a content table for a single or multiple notebooks, and convert notebook to a instant and live slideshow and a standalone web application
- Solve unavailable problem of Built-in terminal of Jupyter notebook on Windows, Solve problem of R unable to install packages on onedrive on Widows
Who Should Attend
- Programmers, business analysts, data analysts, statisticians, and data scientists, who want to learn how to use Jupyter notebook for code writing, data analysis and machine learning
- It is also helpful to students and academic faculties, who are learning and teaching Python, data analysis and modelling, and machine learning.
- But it can be for anyone who loves Python and Jupyter notebook for his/her projects
Target Audiences
- Programmers, business analysts, data analysts, statisticians, and data scientists, who want to learn how to use Jupyter notebook for code writing, data analysis and machine learning
- It is also helpful to students and academic faculties, who are learning and teaching Python, data analysis and modelling, and machine learning.
- But it can be for anyone who loves Python and Jupyter notebook for his/her projects
This course consists of 7 sections, including 30 lectures, which cover the core of the Jupyter Notebook from the basic concepts, operations to detailed applications. It includes
(1) install Python, setup windows new terminal, install Jupyter notebook and create Jupyter notebook, create working directory and access it from Windows terminal;
(2) create, display and run .py file, run external IPython files, formatting text with Markdown and HTML in Jupyter notebook;
(3) create tables, insert equations, embed images, audios and videos into Jupyter notebook and align them using Markdown, HTML, Magics, IPython functions, etc.
(4) change themes, use widely used shortcuts, smart code completion plugin, multi-line cursors, popular magic commands , install packages directly in Jupyter notebook, as well as use the built-in terminal;
(5) create basic plotting, interactive plotting and Interactive plot widget in Jupyter notebook;
(6) make a content table for an inside Jupyter notebook and for multiple notebooks, convert a notebook to a presentation slideshow, and transfer a notebook to a web application.
This course uses practical examples to help you understand and grasp the Jupyter Notebook from a beginner to an expert in an easy and quick way. This one course is enough for you to grasp almost all aspect of the Jupyter notebook
Course Curriculum
Chapter 1: Introduction
Lecture 1: Curriculum Introduction
Lecture 2: How to Use and Download the Notebook Files
Lecture 3: How to Receive Instructor Announcements on Time
Chapter 2: Setting Up Development Environment
Lecture 1: Installing Python
Lecture 2: Setting up Windows New Terminal
Lecture 3: Installing Jupyter Notebook
Lecture 4: Starting Jupyter Notebook App
Lecture 5: Creating Working Directory
Lecture 6: Creating a Jupyter Notebook
Chapter 3: Basic Applications
Lecture 1: Python Programming
Lecture 2: Text Formation with Markdown
Lecture 3: Text Formation with HTML
Lecture 4: Creating Tables
Lecture 5: Inserting Math Equations and Symbols
Lecture 6: Embedding Images
Lecture 7: Embedding Audios and Videos
Lecture 8: Running Other Programming Languages
Chapter 4: Advanced Features
Lecture 1: Change Themes
Lecture 2: Frequently Used Shortcuts
Lecture 3: Multi-line Cursor
Lecture 4: Smart Code Auto-Completion
Lecture 5: Magic Commands and Alternatives
Lecture 6: Built-in Terminal
Chapter 5: Data Visualization
Lecture 1: Basic Plots
Lecture 2: Interactive Plots
Lecture 3: Interactive Plot Widgets
Chapter 6: Notebooks Organizing and Displaying
Lecture 1: Creating Table of Content
Lecture 2: Coverting Notebook into Live Slideshow
Lecture 3: Converting Notebook into Standalone Web Application
Chapter 7: Appendix
Lecture 1: How to Solve Unavailable Built-in Terminal Problem on Windows
Lecture 2: How to Solve Problem of R Unabling to Install Packages in Onedrive on Windows
Instructors
-
Dr. Shouke Wei
Professor
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 6 votes
- 4 stars: 11 votes
- 5 stars: 10 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!
You may also like
- Digital Marketing Foundation Course
- Google Shopping Ads Digital Marketing Course
- Multi Cloud Infrastructure for beginners
- Master Lead Generation: Grow Subscribers & Sales with Popups
- Complete Copywriting System : write to sell with ease
- Product Positioning Masterclass: Unlock Market Traction
- How to Promote Your Webinar and Get More Attendees?
- Digital Marketing Courses
- Create music with Artificial Intelligence in this new market
- Create CONVERTING UGC Content So Brands Will Pay You More
- Podcast: The top 8 ways to monetize by Podcasting
- TikTok Marketing Mastery: Learn to Grow & Go Viral
- Free Digital Marketing Basics Course in Hindi
- MailChimp Free Mailing Lists: MailChimp Email Marketing
- Automate Digital Marketing & Social Media with Generative AI
- Google Ads MasterClass – All Advanced Features
- Online Course Creator: Create & Sell Online Courses Today!
- Introduction to SEO – Basic Principles of SEO
- Affiliate Marketing For Beginners: Go From Novice To Pro
- Effective Website Planning Made Simple