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| [TGx]Downloaded from torrentgalaxy.to .txt | 585 B | ||
| [TutsNode.com] - Automate LTspice Circuit Simulation Using Python Scripting | |||
| 1. Introduction | |||
| 1. Introduction.mp4 | 31.39 MB | ||
| 1. Introduction.srt | 7.66 KB | ||
| 1.1 Sec1-1 Course overview.pdf | 1.62 MB | ||
| 2. Lecturer introduction.mp4 | 28.53 MB | ||
| 2. Lecturer introduction.srt | 3.81 KB | ||
| 2.1 Sec1-2 Lecturer intro.pdf | 1.54 MB | ||
| 2. Software Installation | |||
| 1. Install LTspice.html | 54 B | ||
| 1.1 Install LTspice.pdf | 425.04 KB | ||
| 2. Install Anaconda (including Spyder).html | 54 B | ||
| 2.1 Install Anaconda.pdf | 634.59 KB | ||
| 3. Download Course Material zip file.html | 338 B | ||
| 3.1 Material v1.16 (2020-07-19).zip | 40.5 MB | ||
| 3. Run LTspice using Python | |||
| 1. Introduction to low-pass filter.mp4 | 56.08 MB | ||
| 1. Introduction to low-pass filter.srt | 4.66 KB | ||
| 1.1 Sec3-1 Intro LPF.pdf | 899.17 KB | ||
| 10. Solution - Edit and Run AC .txt using Python.mp4 | 61.67 MB | ||
| 10. Solution - Edit and Run AC .txt using Python.srt | 6.01 KB | ||
| 10.1 Sec3-10 Python AC_Solution.pdf | 383.82 KB | ||
| 11. Summary.mp4 | 5.84 MB | ||
| 11. Summary.srt | 1.97 KB | ||
| 11.1 Sec3-11 Summary.pdf | 340.8 KB | ||
| 2. Transient LTspice simulation.mp4 | 45.49 MB | ||
| 2. Transient LTspice simulation.srt | 5.67 KB | ||
| 2.1 Sec3-2 TRAN LPF.pdf | 401.63 KB | ||
| 3. Transfer function, complex number and Bode plot.mp4 | 80.28 MB | ||
| 3. Transfer function, complex number and Bode plot.srt | 12.44 KB | ||
| 3.1 Sec3-3 Bode plot.pdf | 1.57 MB | ||
| 4. AC analysis in LTspice.mp4 | 52.68 MB | ||
| 4. AC analysis in LTspice.srt | 5.34 KB | ||
| 4.1 Sec3-4 AC LTspice.pdf | 930.58 KB | ||
| 5. Run TRAN .asc using Python.mp4 | 55.81 MB | ||
| 5. Run TRAN .asc using Python.srt | 8.33 KB | ||
| 5.1 Sec3-5 Python TRAN (asc).pdf | 830.61 KB | ||
| 6. Run TRAN .cir using Python.mp4 | 17.6 MB | ||
| 6. Run TRAN .cir using Python.srt | 2.92 KB | ||
| 6.1 Sec3-6 Python TRAN (.cir).pdf | 541.5 KB | ||
| 7. Run TRAN .txt using Python.mp4 | 26.87 MB | ||
| 7. Run TRAN .txt using Python.srt | 4.31 KB | ||
| 7.1 Sec3-7 Python TRAN (.txt).pdf | 770.3 KB | ||
| 8. Edit TRAN .txt using Python.mp4 | 69.23 MB | ||
| 8. Edit TRAN .txt using Python.srt | 8.36 KB | ||
| 8.1 Sec3-8 Python TRAN edit txt.pdf | 564.81 KB | ||
| 9. Exercise - Edit and Run AC .txt using Python.html | 793 B | ||
| 9.1 Sec3-9 Python AC_Exercise.pdf | 413.44 KB | ||
| 4. Read raw data using Python | |||
| 1. Introduction of reading .raw data into Python IDE.mp4 | 70.27 MB | ||
| 1. Introduction of reading .raw data into Python IDE.srt | 10.27 KB | ||
| 1.1 Sec4-1 Intro read raw data.pdf | 1.08 MB | ||
| 2. Raw data format of TRAN.mp4 | 34.05 MB | ||
| 2. Raw data format of TRAN.srt | 4.06 KB | ||
| 2.1 Sec4-2 Raw data format TRAN.pdf | 586.14 KB | ||
| 3. Raw data format of AC.mp4 | 40.03 MB | ||
| 3. Raw data format of AC.srt | 4.67 KB | ||
| 3.1 Sec4-3 Raw data format AC.pdf | 553.08 KB | ||
| 4. Raw data format of OP.mp4 | 30.97 MB | ||
| 4. Raw data format of OP.srt | 6.27 KB | ||
| 4.1 Sec4-4 Raw data format OP.pdf | 656.09 KB | ||
| 5. Raw data format of DC sweep.mp4 | 40.55 MB | ||
| 5. Raw data format of DC sweep.srt | 5.88 KB | ||
| 5.1 Sec4-5 Raw data format DC sweep.pdf | 699.68 KB | ||
| 6. Raw data format of DC sweep over voltage and temperature.mp4 | 42.55 MB | ||
| 6. Raw data format of DC sweep over voltage and temperature.srt | 7.23 KB | ||
| 6.1 Sec4-6 Raw data format DC sweep temp.pdf | 728.46 KB | ||
| 7. Raw data format DC transfer function (TF).mp4 | 44.09 MB | ||
| 7. Raw data format DC transfer function (TF).srt | 8.56 KB | ||
| 7.1 Sec4-7 Raw data format DC TF.pdf | 568.72 KB | ||
| 8. FFT data format.mp4 | 71.42 MB | ||
| 8. FFT data format.srt | 10.16 KB | ||
| 8.1 Sec4-8 FFT data format.pdf | 764.14 KB | ||
| 9. Summary.mp4 | 6.23 MB | ||
| 9. Summary.srt | 1.97 KB | ||
| 9.1 Sec4-9 Summary.pdf | 362.59 KB | ||
| 5. Plot data using Python | |||
| 1. Introduction.mp4 | 22.93 MB | ||
| 1. Introduction.srt | 3.68 KB | ||
| 1.1 Sec5-1 Intro.pdf | 814.12 KB | ||
| 2. Introduction to Matplotlib.mp4 | 58.98 MB | ||
| 2. Introduction to Matplotlib.srt | 13.01 KB | ||
| 2.1 Sec5-2 Intro to Matplotlib_update.pdf | 553.51 KB | ||
| 3. Pyplot figure(), savefig(), close().mp4 | 36.43 MB | ||
| 3. Pyplot figure(), savefig(), close().srt | 6.57 KB | ||
| 3.1 Sec5-3 Pyplot figure.pdf | 509.25 KB | ||
| 4. Pyplot TRAN raw data.mp4 | 24.67 MB | ||
| 4. Pyplot TRAN raw data.srt | 4.13 KB | ||
| 4.1 Sec5-4 Pyplot TRAN.pdf | 783.78 KB | ||
| 5. Pyplot AC raw data.mp4 | 55.34 MB | ||
| 5. Pyplot AC raw data.srt | 6.79 KB | ||
| 5.1 Sec5-5 Pyplot AC.pdf | 705.22 KB | ||
| 6. Read measurement log file using Python | |||
| 1. Introduction to Measurement in LTspice.mp4 | 69.4 MB | ||
| 1. Introduction to Measurement in LTspice.srt | 7.88 KB | ||
| 1.1 Sec6-1 Intro to MEAS.pdf | 667.39 KB | ||
| 2. Read Measurement data in log file.mp4 | 52.84 MB | ||
| 2. Read Measurement data in log file.srt | 7.87 KB | ||
| 2.1 Sec6-2 Read MEAS in log file.pdf | 901.04 KB | ||
| 3. Summary.mp4 | 4.45 MB | ||
| 3. Summary.srt | 1.64 KB | ||
| 3.1 Sec6-3 Summary.pdf | 363.91 KB | ||
| 7. Project the 2nd order Low-Pass Filter (LPF) | |||
| 1. Introduction of the 2nd order LPF.mp4 | 42.24 MB | ||
| 1. Introduction of the 2nd order LPF.srt | 6.74 KB | ||
| 1.1 Sec7-1 Intro of 2nd LPF.pdf | 694.92 KB | ||
| 2. Hardware demo of the 2nd order LPF.mp4 | 98.8 MB | ||
| 2. Hardware demo of the 2nd order LPF.srt | 5.05 KB | ||
| 2.1 Sec7-2 Hardware demo of 2nd LPF.pdf | 477.77 KB | ||
| 3. Project overview and requirement.mp4 | 17.87 MB | ||
| 3. Project overview and requirement.srt | 3.38 KB | ||
| 3.1 Sec7-3 Project overview.pdf | 826.51 KB | ||
| 4. Solution.mp4 | 44.55 MB | ||
| 4. Solution.srt | 5.38 KB | ||
| 4.1 Project Solution 2nd LPF.pdf | 1.26 MB | ||
| 8. Congratulations | |||
| 1. Congratulations.mp4 | 3.1 MB | ||
| 1. Congratulations.srt | 1.07 KB | ||
| 1.1 Sec8-1 Congratulations.pdf | 623.21 KB |

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
Last Updated 7/2020
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