Creating Dashboards in Python

Creating Dashboards in Python

This course will teach you how to step from research-level code in notebooks to creating rapid prototypes of interactive web-based dashboards. It will also teach you best practices for scaling your dashboard apps in complexity while keeping them maintainable and performant.

Prerequisites

Prior completion of Python Charmers' Introduction to Python course or equivalent programming experience (3+ months of daily use if self-taught).

Expected Outcomes

This course teaches you how to create web dashboards with Python and the Streamlit package.

Course Syllabus

Session 1: Creating Dashboards in Python

The course will start by giving you an overview of the broad ecosystem of techniques and Python packages for creating dashboards and GUIs. It will then dive deep into creating web-based dashboards using Streamlit:

  • Basic input and output widgets
  • Best practices for maintainability and efficiency with Streamlit
  • Charts / plots in various formats; layout containers
  • Caching: memory and disk caching
  • Forms; session state
  • Worked examples
  • Optional: Deploying Streamlit apps

Personal help

We are happy to offer on-the-spot problem-solving after each day of the training for you to ask one-on-one questions — whether about the course content and exercises or about specific problems you face in your work and how to solve them. If you would like us to prepare for this in advance, you are welcome to send us background info before the course.

Other information

Format:

Courses are conducted online via video meeting using Python Charmers' cloud notebook server for sharing code with the trainer(s).

Computer:

Hardware: a webcam and headset mic or quiet room. Preferably also multiple screens.

Software: a modern browser: Chrome, Firefox, or Safari (not IE or Edge); and Zoom.

Coding: we have a cloud-based coding server that supports running code and sharing code with the trainer(s).

Timing:

Most courses will run from 9:00 to roughly 17:00 (AEST/AEDT) each day, with breaks of 50 minutes for lunch and 20 minutes each for morning and afternoon tea.

Certificate of completion:

We will provide you a certificate if you complete the course and successfully answer the majority of the exercise questions.

Materials:

We will provide you course notes (PDF), Jupyter notebooks, exercise solutions, cheat sheets, sample datasets, and documentation on Python and the third-party packages covered in the course.

Testimonials

“The course was delivered by trainers who were extremely knowledgeable in their field. It was really good to learn from the best!”

- Marius Roman

“Great course. Enjoyed it and will follow up with some practical implementation of some of the work.”

- Adam Grace

“One of the best training courses I've been on.”

- David Scurrah

“I loved it. Ed was inspiring.”

- Onoriode Coast

“Really impressed by Python's capability and excited to use as alternative to MatLab, as is free and better supported.”

- Carsten Hofmann

“Very comprehensive intro to every aspect of python. Highly qualified trainer. Beyond my expectation on every aspect.”

- Baichuan Sun

“The VM setup and USB is great. Ed is an excellent instructor - he presents well and welcomes any questions. He is clearly a super smart guy who has a great grasp on what he is teaching - able to just prototype on the fly and the course overall really opened my eyes to python.”

- Jack Hendy

“Course content was well presented and easily digested. Practical exercises were an essential part of the course – a good ratio of lecture/play was achieved. Well done Ed and Henry!”

- Steve Zegelin

“Simply awesome!!”

- James Park

“Both Ed and Henry presented well…. The course structure was adjusted to suit the participants quickly and easily.”

- Jenet Austin

“Excellent training course, excellently presented. Perhaps the best that I have had in the area of IT / programming.”

- George Grozev

“One of the best programming courses I have attended - thanks!”

- Giant Billen

“This course has shown me how I could have done the work I was doing just last week 10x more efficiently in Python.”

- Maruf Rahman

“It was a pleasure ... Shared feedback from all involved was that it’s been one of the most beneficial and well delivered training courses we’ve been a part of.”

- Dylan Matthews

“Was the most fulfilling and rewarding class I have taken since "general relativity" at uni. Was extremely well run. Excellent all round!”

- Dr Millicent Maier

“Very impressed with the course, delivery. And depth of knowledge of Ed and Henry. Far exceeded my expectations and has greatly improved my core skills as well as inspired so many new ideas for my current work / projects. Thank you!”

- Kelsey Druken