Python Training

Python for Programmers

We offer intensive 4-day courses in Python for programmers. By the end of the Python for Programmers course, you will understand Python in depth and be able to make rapid progress with using Python.

We also offer abbreviated course options (2 days and 3 days) for people with prior experience programming in Python.


Prior experience with programming (in any language) is assumed.

Expected Outcomes

By the end of the course, you will have a good understanding of the core Python language, Python’s excellent built-in data types, and the fundamentals of object-oriented programming in Python. You will have experience using expressive Python idioms, understand how modules and packages work, Python’s coding style guidelines, and how to write unit tests for Python code. You will also know about how to read, write, visualise, and perform powerful descriptive analytics on tabular datasets (including CSV, Excel, and SQL) and how to use Python to consume web APIs and to create your own web APIs. You will also understand the elegance and power of the language and you will be well-placed to continue learning more as you use it day-to-day.

Course Syllabus

Day 1: Python Basics

Day 1 covers how to use Python for basic scripting and automation tasks, including tips and tricks for making this easy. The syllabus is as follows:

  • Why use Python? What’s possible?
  • Setting up your Python development environment (IDE, Jupyter)
  • The Jupyter notebook and shell for rapid prototyping and automated reporting
  • Modules and packages
  • Python concepts: an introduction through examples
  • Essential data types, tips and tricks
  • Raising and handling exceptions
  • Worked example: consuming web APIs

Day 2: Handling, Analysing, and Presenting Data in Python

The Pandas package is an amazingly productive tool for working with different kinds of data in Python. Day 2 gives a comprehensive introduction to reading and writing the most important data formats and how to analyse and visualise data easily.

  • Reading and writing essential data formats: CSV, Excel, SQL databases, JSON, time-series
  • Indexing and selecting data in Pandas
  • Data fusion: joining & merging datasets
  • Summarisation with “group by” operations; pivot tables
  • Time-series analysis: parsing dates, resampling
  • Visualisation and statistical graphics with Seaborn

Day 3: Real-world programming in Python

Day 3 shows you intermediate-level language features, tools, techniques, and best practices for writing maintainable Python code in teams.


  • Elegant features of Python: keyword arguments, comprehensions, sequence unpacking
  • Defining classes: custom data types; inheritance
  • Iterators and generators
  • Functional programming with toolz


  • Integrated development environments; debugging tools
  • Python style and docstring conventions; linting tools
  • Elegant code beyond PEP8: class special methods, context managers, decorators
  • Creating modules and installable packages; structuring Python projects
  • Automated unit-testing with py.test and property-based testing with hypothesis
  • Managing isolated environments for team projects with conda; specifying package requirements

Day 4: Web APIs

Day 4 will show you how to consume and create web APIs in depth:

  • Consuming web APIs: the requests package in more depth; oauth; sessions; rate limits
  • Background: creating dynamic websites with Flask
  • Templating; sessions; deployment; security
  • Creating web APIs with Flask and Flask-RESTful
  • Documenting web APIs with OpenAPI (Swagger)

Supplemental materials

We will supply you with printed course notes and a USB stick containing electronic versions of the course notes as Jupyter notebooks, solutions to the programming exercises, several written tutorials, and reference documentation on Python and the third-party packages covered in the course.

Other information

Personal help:
Your trainer(s) will be available after the course each day for you to ask any one-on-one questions you like — whether about the course material and exercises or about specific problems you face in your work and how to use Python to solve them.
Food and drink:
We will provide lunch, morning and afternoon tea, and drinks.
The course will run from 9:00 to roughly 17:00 each day, with a breaks of an hour for lunch and 15 minutes each for morning and afternoon tea.

Upcoming Courses

There are currently no events. Contact Us to arrange an event in your location.

Upcoming Public Courses


Python for Geospatial Analysis:
26 Nov – 30 Nov 2018

Level 4, 54 Marcus Clarke Street, Civic

View Details Brochure Sold Out Waitlist


Python for Scientists & Engineers:
26 Nov – 29 Nov 2018

Level 4, 50 Marcus Clarke Street, Civic

View Details Brochure Sold Out Waitlist


Introduction to Python:
26 Nov – 27 Nov 2018

Level 4, 54 Marcus Clarke Street, Civic

View Details Brochure Sold Out Waitlist


Introduction to Python:
03 Dec – 04 Dec 2018

Level 4, 60 Clarence Street, Sydney CBD

View Details Brochure Book Now


Python for Predictive Data Analytics:
03 Dec – 06 Dec 2018

Level 4, 60 Clarence Street, Sydney CBD

View Details Brochure Book Now


Python for Geospatial Analysis:
10 Dec – 14 Dec 2018

Mezzanine Level, 50 Queen Street, Melbourne CBD

View Details Brochure Book Now


Introduction to Python:
10 Dec – 11 Dec 2018

Mezzanine Level, 50 Queen Street, Melbourne CBD

View Details Brochure Book Now


Python for Scientists & Engineers:
10 Dec – 13 Dec 2018

Mezzanine Level, 50 Queen Street, Melbourne

View Details Brochure Book Now

Register Your interest

Other courses and locations
Dates TBA

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“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