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Automate LTspice Circuit Simulation Using Python Scripting

Description

Update history

07/19/2020: Course material “Material v1.16 (2020-07-19).zip” is uploaded: “ltspy3meas” module is updated to fix a bug in reading the measurement name list

06/28/2020: Course material “Material v1.15 (2020-06-28).zip” is uploaded: New Section “Sec5-6 Spyder graphics backend setting”.

06/15/2020: Course material “Material v1.14 (2020-06-15).zip” is uploaded: “ltspy3meas” has been updated to import .step measurement.

06/10/2020: Course material “Material v1.13 (2020-06-10).zip” is uploaded. The output solution waveforms of the 2nd order LPF project are corrected.

05/05/2020: Note that 1080p video is NOW available. Just go to video “settings” and enable the “Auto option”. Then 1080p streaming will become possible for you!

05/06/2020: the pdf of “Sec5-2 Intro to Matplotlib” is updated on page 3 to avoid some potential bugs.

05/05/2020: The Matlab file name for Sec3-3 Bode Plot is changed to “BodePlot_Matlab.m”

04/19/2020: A bug is fixed in “ltspy3meas” for Section 6 Lecture 32: Read Measurement data in log file

  • A detailed step-by-step tutorial about how to automate LTspice circuit simulation using Python scripting
  • LTspice is the #1 SPICE simulation tools that is free, robust and fast. But it requires a lot of human efforts to run manually.
  • Python can automate LTspice for you!
  • Python is so easy to learn that is prefect for electrical engineers
  • Python can unleash the full potential of LTspice
  • Python can save you time and money from tedious and time-consuming LTspice simulation
  • Read raw data into Python and plot it as figures
  • Python opens the door for you to the world of data science

Who this course is for:

  • Anyone who is interested in both LTspice and Python
  • Electrical engineers who have been curious about Python language
  • Extend the LTspice simulation capability
  • Anyone who want to avoid repetitive and tedious workload in LTspice simulation
  • Impress at work and boost the career

Requirements

  • Basics of SPICE circuit simulation (LTspice preferable)
  • Basics of programming experience (Python preferable)
  • A windows OS PC with LTspice XVII installed
  • A windows OS PC with Python IDE (e.g., Anaconda and Spyder)
  • Sorry this course is NOT prepared in macOS

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