Data Visualization with PyScript

A well-designed visualization can communicate to nearly any user, and Python is one of the most utilized and powerful data analytics tools available. Doesn't it make sense to combine the powerful data tools of Python and the very best web visualization tools?

If this sounds attractive, this live interactive course will teach you to create data visualizations and share them without needing hosting setup, environment creation, or other Python methods. This is possible by leveraging PyScript.

This course will make you understand how to create web-ready visualizations directly with Python that you can share on- or offline without needing a complicated setup. Also, you can take existing Python scripts and share them with non-technical users without packaging or environments.

What you'll learn—and how you can apply it

By the end of this hands-on course, you’ll understand:

• Basic functions and application of PyScript
• How PyScript can be used to display and share data visualizations
• How to visualize data on the web using Python APIs with little setup
• How to interact with data and Python on the web

And you’ll be able to:

• Create a basic PyScript application
• Run Python in the browser
• Create a basic data dashboard using Python

This training is for you because…

• You’re a student or experienced data scientist looking to learn a new way to bring data visualizations to the web
• You work with data and create visualizations
• You wish to become a data analyst or data scientist
• You want to learn to make visualization apps in Python that can be shared easily

Prerequisites

• Essential: Any code editor of choice for coding exercises
• Essential: A free PyScript.com account 
• Optional: A free Alpha Vantage account (by clicking "Get Your Free API Key Today")
• Basic understanding of Python, including lists, variables, and functions
• Basic knowledge of pandas is recommended but not essential
• Fundamental knowledge of HTML/JS is recommended but not essential

Recommended preparation

• Review the PyScript Docs
  • Recommended:
    • Tutorials
    • How to Pass Objects from PyScript to Javascript (and Vice Versa)
    • How to make HTTP requests using PyScript, in pure Python
• For users just getting started with Python (Recommended):
  • Introduction to Python Programming 
  • Data Cleaning with Pandas 
  • Introduction to Data Visualization with Python

About the instructor

Blake Rayfield is an Associate Professor of Finance at Northern Arizona University with a demonstrated history of working in the higher education industry. He holds an M.S. in Financial Economics and a Ph.D. in Financial Economics from The University of New Orleans. He has published in several peer-reviewed journals, including the Journal of Financial Research, Quarterly Review of Economics and Finance, and the Review of Behavioral Finance, among others. His research interests are in Corporate Finance and Investments, and he incorporates Python and data visualization in all projects. You can find him here: LinkedIn | GitHub | ResearchGate.

Cost: $49. Anaconda Learning subscription is not required.

You may cancel your registration at any time before the course airs. Once the course is live, there are no refunds or credits. All registered users will receive a Zoom recording of the live course one day after the course airs.

Important info:

The tutorial will be conducted using Zoom Meetings. It is important that the name you used to register for the event is the same as the name you use when you login to Zoom. If this will not be the case, please email learning@anaconda.com to let us know.

All participants will have their microphones muted and cameras off upon entry to help minimize distractions during the live event. Support and Q&A will be conducted via the Chat function within Zoom.

Questions? Issues? Contact learning@anaconda.com.