Overview of Python for Engineering Programming – Online Short Course (Starts March 12, 2024) 12 March - 28 March 2024 Online

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Instructed by Dr. John Peng Ho, Boeing Designated Expert on engineering software development

✓   From March 12 – 28, 2024 (6 Classes, 4 hours each, 24 Hours Total)

✓   Every Tuesday and Thursday from 1200-1600 Eastern Time (900-1300 Pacific Time) (all sessions will be recorded and available for reply; course notes will be available for download) 

✓   The essential overview of Python for engineering programming, this course was taught for many years exclusively to Boeing employees and is now available to the public.

✓   All students will receive an AIAA Certificate of Completion at the end of the course


Learning programming languages is overrated. Learning programming is underrated.

Proficient programming takes more than familiarity with the syntax of any programming language. One needs awareness of existing standard and third-party libraries to avoid re-implementing the “wheel.” Another vital skill is the art of posing problems in ways to exploit the features and capabilities of the language. This last aspect of programming is rarely covered in courses or books.

In this popular course, taught for years at Boeing by the instructor, the Python programming language and its rich ecosystem are introduced. It will focus on engineering applications with practice examples of implementing elegant and efficient algorithms.

Students will be required to use a computer for the class with the provided Anaconda Python Distribution (www.anaconda.com) loaded onto it.


  • Understand essential concepts to use Python effectively
  • Understand the NumPy add-on library and its practical applications to numerical computations
  • Introductions to libraries valuable for aerospace engineering applications
  • Accessing documentation
  • Software quality assurance and documentation generation

AUDIENCE: This course is intended for any engineer, scientist, researcher, or manager with programming needs and/or interests.


"This class is filled with extremely helpful information. The exceptionally well prepared course materials were a huge benefit."

"I thought the class was great. I really liked the examples of Propulsion issues that were resolved using Python scripts, and the instructor had a very thorough knowledge of the subject matter."

"The class covered a wide range of content that went over just about everything someone would need to know to make a helpful python program."

"The example codes are very easy to follow and a fantastic resource to catch up on when needed. Perfect notes!"

"Being built on Jupyter was amazing to set up the examples as well as challenge the students with interpretations, mods, and spin-offs. It was a great way to learn. And the way Dr. Ho built up his lessons and examples built concepts layered as nominal, sufficient, and complex solutions. So that you could learn from each level. It was an overall great experience."

"Great professor, great course!"

COURSE FEES (Sign-In to Register)

Non-Member Price: $1095 USD
AIAA Member Price: $895 USD
AIAA Student Member Price: $495 USD

CLASSROOM HOURS / CEUs: 24 classroom hours / 2.4 CEU/PDH 

Cancellation Policy: A refund less a $50.00 cancellation fee will be assessed for all cancellations made in writing prior to 5 days before the start of the event. After that time, no refunds will be provided.

Contact: Please contact Lisa Le or Customer Service if you have any questions about the course or group discounts.


Course Outline

Fundamentals of Python

  • Python native data types
  • Python syntax
  • Loops
  • Branching
  • Exceptions
  • Packages and Modules
  • Name spaces
  • Examples and applications

NumPy and matplotlib Libraries

  • NumbPy add-on
  • matplotlib
  • Examples and applications

Survey of other libraries useful for aerospace engineering applications such as:

  • The Jupyter Notebook environment.
  • The matplotlib plotting package.
  • The standard libraries, in particular Regular expression.
  • The scientific/engineering routines in SciPy.
  • The Pandas data analytics package.
  • Integration with other languages.
  • Course Delivery/Materials:

    • The course lectures will be delivered via Zoom. You can test your connection here: https://zoom.us/test
    • Students will be required to use a computer for the class with Anaconda Python Distribution (www.anaconda.com) loaded onto it.
    • Software installation instructions, course material, and access to the Zoom classroom will be provided to registrants near the course start date.
    • Between lectures, the instructor will be available via email for technical questions and comments.
Dr. John Peng Ho has been involved in engineering software development and maintenance for his entire career and is a Boeing Designated Expert on engineering software development. Over fifteen years ago, he selected Python as his primary programming language and developed a dozen projects using Python; as well as using it for data analysis and machine learning. He actively coaches engineers at Boeing in Python and effective use of the language and ecosystem. He strongly advocates for software quality assurance and documentation best practices in engineering software.


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