Creating Dashboards in Python
You will learn how to go from scientific code in notebooks to rapid prototypes of dashboards and GUI apps. You will also learn best practices for building scaling your dashboard apps in complexity while keeping them maintainable and performant.
Prerequisites
Prior experience with programming in Python.
Expected Outcomes
This course teaches you how to create dashboards and GUIs with Python and the Streamlit package, with a focus on scientific appli- actions.
Course Syllabus
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
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Format:
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Courses are conducted online via video meeting using Python Charmers' cloud notebook server for sharing code with the trainer(s).
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Computer:
Hardware: we recommend ≥ 8 GB of RAM and a webcam. Preferably also multiple screens and a quiet room (or headset mic).
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).
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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:
You will have access to all the course materials via the cloud server. We will also send you a bound copy of the course notes, cheat sheets, and a USB stick containing the materials, exercise solutions, and further resources.
Upcoming Public Courses
Virtual
Intermediate Geospatial Analysis in Python:
5–7 February 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Introduction to Python:
23–25 February 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Machine Learning:
23–27 February 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Scientists & Engineers:
23–28 February 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Geospatial Analysis:
23–28 February 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Creating Dashboards in Python:
2–3 April 2025
- 02 Apr 2025 22:00 - 03 Apr 2025 06:00 UTC (convert)
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Data Analysis with Polars:
21–23 April 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Deep Learning with PyTorch:
6–9 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Data Analysis with Polars:
18–20 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Introduction to Python:
25–27 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Machine Learning:
25–29 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Scientists & Engineers:
25–30 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Geospatial Analysis:
25–30 May 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Intermediate Python for Software Development:
2–4 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Deep Learning with PyTorch:
10–13 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Introduction to Python:
22–24 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Machine Learning:
22–26 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Scientists & Engineers:
22–27 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Geospatial Analysis:
22–27 June 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Creating Dashboards in Python:
30 June 2025 – 1 July 2025
- 30 Jun 2025 23:00 - 01 Jul 2025 07:00 UTC (convert)
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Data Analysis with Polars:
6–8 August 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Introduction to Python:
31 August 2025 – 2 September 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Machine Learning:
31 August 2025 – 4 September 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Scientists & Engineers:
31 August 2025 – 5 September 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Python for Geospatial Analysis:
31 August 2025 – 5 September 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Deep Learning with PyTorch:
8–11 September 2025
Online live instructor-led training: 9am to 5pm AEST
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Virtual
Intermediate Python for Software Development:
13–15 October 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Creating Dashboards in Python:
22–23 October 2025
- 22 Oct 2025 22:00 - 23 Oct 2025 06:00 UTC (convert)
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Data Analysis with Polars:
16–18 November 2025
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Introduction to Python:
23–25 November 2025
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Machine Learning:
23–27 November 2025
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Scientists & Engineers:
23–28 November 2025
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Geospatial Analysis:
23–28 November 2025
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
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Testimonials
“The course was delivered by trainers who were extremely knowledgeable in their field. It was really good to learn from the best!”
“Great course. Enjoyed it and will follow up with some practical implementation of some of the work.”
“One of the best training courses I've been on.”
“I loved it. Ed was inspiring.”
“Really impressed by Python's capability and excited to use as alternative to MatLab, as is free and better supported.”
“Very comprehensive intro to every aspect of python. Highly qualified trainer. Beyond my expectation on every aspect.”
“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.”
“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!”
“Simply awesome!!”
“Both Ed and Henry presented well…. The course structure was adjusted to suit the participants quickly and easily.”
“Excellent training course, excellently presented. Perhaps the best that I have had in the area of IT / programming.”
“One of the best programming courses I have attended - thanks!”
“This course has shown me how I could have done the work I was doing just last week 10x more efficiently in Python.”
“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.”
“Was the most fulfilling and rewarding class I have taken since "general relativity" at uni. Was extremely well run. Excellent all round!”
“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!”
