Introduction to Python

Introduction to Python

This intensive, hands-on, practical training course will teach you the core concepts of Python and how to use Python to solve real problems, fromworking with APIs to analyzing and visualizing datasets.

Prerequisites

Some familiarity with programming concepts (in any language) is helpful but prior programming experience is not required.

Expected Outcomes

You will learn the fundamentals of Python’s powerful data types and how to manipulate tabular data with ease in a variety of formats, including CSV, Excel, SQL databases, and time-series. You will learn about Python-based tools for rapid prototyping and interactive data visualization. 

You will also learn about the elegance and power of the Python language and the breadth of its amazing ecosystem of powerful packages for solving many kinds of problems. You will be well-placed to continue learning more in the future.

Course Syllabus

Session 1: Python Basics

Day 1 introduces Python through hands-on examples, focusing on Python's core language features and data types needed to write clear, reliable scripts and small automation tools.

  • Why Python? What’s possible?
  • The Jupyter notebook for rapid prototyping
  • Modules and packages
  • Core Python concepts, introduced through examples
  • Essential data types: strings, tuples, lists, dictionaries
  • Raising and handling exceptions
  • Worked example: retrieving real-time data from a REST web API

Session 2: Handling, Analyzing, and Presenting Data in Python

Python offers amazingly productive tools like Polars for working with different kinds of data. Day 2 gives a thorough introduction to analyzing and visualizing data easily:

  • Reading and writing essential data formats: CSV, Excel, SQL, time-series (others on request)
  • Selecting and filtering data in Polars
  • Data fusion: joining datasets
  • Aggregation with “group by” operations; pivot tables
  • Visualization and statistical graphics with Plotly Express
  • Preview: turning Python analysis into interactive dashboards with Streamlit

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