Overview of Python for Engineering Programming – Online Short Course (Starts April 11, 2023) 11 April - 27 April 2023 Online

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

✓   From April 11 – 27, 2023 (6 Classes, 4 hours each, 24 Hours Total)

✓   Tuesdays and Thursdays from 1200-1400 Eastern Time (900-1300 Pacific Time)

✓   Class recordings available 24/7 for future reference, or if you need to miss a class

✓   Taught for many years exclusively for Boeing employees

✓   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 is introduced. It will focus on engineering applications with practice examples on implementing elegant and efficient algorithms.

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

Learning Objectives

  • 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
  • (See Detailed outline below)

Who Should Attend: This course is intended for any engineers, scientist, researcher, or manager with programming needs and/or interests. 


"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 build 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: $1045 USD
AIAA Member Price: $845 USD
AIAA Student Member Price: $495 USD

Classroom hours / CEUs: 
24 classroom hours / 2.4 CEUs

Cancellation Policy: A refund less a $100.00 cancellation fee will be assessed for all cancellations made in writing prior to 14 days before the start of the event. After that time, no refunds will be provided.

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 and Materials

  • Course Lectures
    • The course lectures will be delivered via Zoom. You can test your connection here: https://zoom.us/test
  • Software
    • Students will be required to use a computer for the class with Anaconda Python Distribution (www.anaconda.com) loaded onto it.
    • Anaconda Distribution is free for instructional use. https://www.anaconda.com/products/distribution
    • Software installation instructions, course material, and access to the Zoom classroom will be provided to registrants.
  • Course Material
    • Course material is entirely digital and will be provided by the instructor. The material is Boeing copyrighted.
    • Copyright: No part of these materials may be reproduced, distributed, or transmitted, unless for course participants. All rights reserved.
  • Questions: Between lectures, the instructors 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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