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