Free Intro to Python Class Online

Tuesday, 18 May

4:30 6:30 am EDT

Online (Online)

Questions? Read our FAQs

Free Intro to Python Class Online | May 18

Alistair Walsh Photo

PhD Candidate, The Melbourne Brain Centre


Tuesday, 18 May

4:30 6:30 am EDT

GA Sydney (Livestream)

Online Class
Regular Ticket

Questions? Read our FAQs

About This Workshop

Build apps for the web and unlock data-driven insights with code.

Explore the intersection of coding and data with General Assembly. During our Python-focused intro class, you’ll learn all about Python - including how to get started, advantages and disadvantages of Python, essentials of programming in Python, and tools available to build applications in Python.

  • Touch on fundamental Python programming techniques and tools.
  • Discuss its applications in data analysis and web development — and the types of problems it can solve.
  • See where Python programming fits into the data and web workflow.
  • Apply your new skills to solve a real-world problem with Python.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set with Python skills in our 10-week, part-time Python Programming course.


  • Learn how to get set up and install Python and libraries.
  • Find out how to write your first Python script.
  • Figure out what tools to use for your next Python projects.


  • This class requires a computer and strong internet connection.
  • For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).
  • The latest version of Python (current version 3.7).

To install Python, complete the following: - Head to - Click the button to download the version for Python 3.7. - Once downloaded, run the installation prompts.

Optional: Install a text editor like Sublime Text 3. or Atom on your computer.

About the Instructor

Alistair Walsh Photo

PhD Candidate,
The Melbourne Brain Centre

Alistair Walsh is a PhD candidate at the Melbourne Brain Centre. His thesis is in the use of Machine Learning and Artificial Intelligence in predicting recovery trajectories following stroke. He has previously worked for the Australian Defence Force's Science and Technology Organisation, developing Physiological Measures of Cognitive Load. Prior to working in the scientific field, Alistair was a professional musician producing electronic dance music. His special areas of interest are - Social media data mining, cryptocurrency and IoT.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.

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