YoVDO

Getting Started with Jupyter Notebook 5 and Python

Offered By: Pluralsight

Tags

Jupyter Notebooks Courses Data Analysis Courses Data Visualization Courses Python Courses Storytelling Courses Prototyping Courses Markdown Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Jupyter Notebook is an interactive computing environment that transcends code, and it has completely disrupted the way that many Python developers work and think about software development. This course shows how you can let it do the same for you.

Python serves many different type of developers, so why should all Python developers use the same development tool? This course, Getting Started with Jupyter Notebook 5 and Python, explores Jupyter Notebook, an essential tool for data, prototyping, and learning that belongs in every Python developer’s toolbox. First, you'll explore the foundations of Jupyter Notebook, including installation and interface navigation. Next, you’ll learn how to go beyond the code and supplement notebooks with rich content such as markdown, visualizations, and data formatting. Finally, you’ll see how to make interactive UIs that communicate, and how to make your ideas available to others. By the end of this course, you’ll have the skills necessary to assemble Jupyter notebooks that can help tell your Python story to others, and help you understand the Python stories of your colleagues.

Syllabus

  • Course Overview 1min
  • Installing Jupyter Notebook 14mins
  • Moving from the REPL to a Notebook 24mins
  • Leveraging Special Notebook Features 26mins
  • Displaying Rich Content 14mins
  • Extending the Notebook User Interface 36mins
  • Collaborating on Notebooks 16mins

Taught by

Douglas Starnes

Related Courses

Intro to Statistics
Stanford University via Udacity
Introduction to Data Science
University of Washington via Coursera
Passion Driven Statistics
Wesleyan University via Coursera
Information Visualization
Indiana University via Independent
DCO042 - Python For Informatics
University of Michigan via Independent