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Udemy - Python for STEM

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Added 4 years ago by freecoursewb in Other
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Udemy - Python for STEM (Size: 2.8 GB)
  1. Colors & Colormaps - Pt. 1.mp4 43.4 MB
  1. Colors & Colormaps - Pt. 1.srt 9.6 KB
  1. Installing Anaconda.mp4 40.9 MB
  1. Installing Anaconda.srt 5.8 KB
  1. Monte Carlo Method - Pt. 1.mp4 21.3 MB
  1. Monte Carlo Method - Pt. 1.srt 3.6 KB
  1. Particle Tracking - Pt. 1.mp4 52.4 MB
  1. Particle Tracking - Pt. 1.srt 8.5 KB
  1. Welcome!.mp4 35.1 MB
  1. Welcome!.srt 2.4 KB
  1.1 brownian_motion.mp4 63.2 MB
  1.1 color accessibility.html 102.4 B
  1.1 sandbox_estimate_pi.ipynb 2.7 KB
  1.2 color generator.html 102.4 B
  1.2 info.obj 15.9 KB
  1.2 solution_estimate_pi.ipynb 53.9 KB
  1.3 colorblind-safe colors.html 102.4 B
  1.3 sandbox.ipynb 4 KB
  1.4 matplotlib colormaps.html 102.4 B
  1.4 solution.ipynb 411.6 KB
  1.5 sandbox.ipynb 3.4 KB
  1.6 solution.ipynb 228.8 KB
  10. Figure Export & Post-Processing - Pt. 2.mp4 53.5 MB
  10. Figure Export & Post-Processing - Pt. 2.srt 10.9 KB
  10. Harmonic Oscillator - Pt. 2.mp4 39.7 MB
  10. Harmonic Oscillator - Pt. 2.srt 7.9 KB
  10. Parameter Estimation - Pt. 6.mp4 22.3 MB
  10. Parameter Estimation - Pt. 6.srt 3.1 KB
  11. Figure Export & Post-Processing - Pt. 3.mp4 63.2 MB
  11. Figure Export & Post-Processing - Pt. 3.srt 8.8 KB
  11. Harmonic Oscillator - Pt. 3.mp4 50.6 MB
  11. Harmonic Oscillator - Pt. 3.srt 9.7 KB
  11. Statistics - Pt. 1.mp4 61.4 MB
  11. Statistics - Pt. 1.srt 11.2 KB
  11.1 kaggle dataset.html 102.4 B
  11.2 sandbox.ipynb 7.5 KB
  11.3 solution.ipynb 95.8 KB
  12. Satellite Orbit - Pt. 1.mp4 54.1 MB
  12. Satellite Orbit - Pt. 1.srt 11.8 KB
  12. Statistics - Pt. 2.mp4 39.3 MB
  12. Statistics - Pt. 2.srt 6.6 KB
  12.1 sandbox.ipynb 3.9 KB
  12.2 solution.ipynb 94.4 KB
  13. Satellite Orbit - Pt. 2.mp4 65.9 MB
  13. Satellite Orbit - Pt. 2.srt 9.6 KB
  13. Statistics - Pt. 3.mp4 72.8 MB
  13. Statistics - Pt. 3.srt 11.7 KB
  14. Satellite Orbit - Pt. 3.mp4 32.7 MB
  14. Satellite Orbit - Pt. 3.srt 6.2 KB
  14. Statistics - Pt. 4.mp4 77.3 MB
  14. Statistics - Pt. 4.srt 10 KB
  15. Satellite Orbit - Pt. 4.mp4 81.2 MB
  15. Satellite Orbit - Pt. 4.srt 12.5 KB
  15. Statistics - Pt. 5.mp4 45.4 MB
  15. Statistics - Pt. 5.srt 6.7 KB
  16. Brownian Motion - Pt. 1.mp4 52.4 MB
  16. Brownian Motion - Pt. 1.srt 7.7 KB
  16. Statistics - Pt. 6.mp4 71.6 MB
  16. Statistics - Pt. 6.srt 11.5 KB
  16.1 diffusion coefficient.html 102.4 B
  16.2 sandbox.ipynb 4.7 KB
  16.3 solution.ipynb 258.8 KB
  17. Brownian Motion - Pt. 2.mp4 46.8 MB
  17. Brownian Motion - Pt. 2.srt 8.3 KB
  18. Brownian Motion - Pt. 3.mp4 32.8 MB
  18. Brownian Motion - Pt. 3.srt 5.9 KB
  19. Brownian Motion - Pt. 4.mp4 74 MB
  19. Brownian Motion - Pt. 4.srt 11.9 KB
  2. Coding With Spyder.mp4 36.8 MB
  2. Coding With Spyder.srt 7 KB
  2. Colors & Colormaps - Pt. 2.mp4 56.9 MB
  2. Colors & Colormaps - Pt. 2.srt 9.7 KB
  2. Monte Carlo Method - Pt. 2.mp4 41.3 MB
  2. Monte Carlo Method - Pt. 2.srt 6.3 KB
  2. Particle Tracking - Pt. 2.mp4 32.5 MB
  2. Particle Tracking - Pt. 2.srt 4.8 KB
  3. Coding With Notepad++.mp4 43.5 MB
  3. Coding With Notepad++.srt 7.6 KB
  3. Colors & Colormaps - Pt. 3.mp4 55.3 MB
  3. Colors & Colormaps - Pt. 3.srt 9.1 KB
  3. Monte Carlo Method - Pt. 3.mp4 44.1 MB
  3. Monte Carlo Method - Pt. 3.srt 7.2 KB
  3. Particle Tracking - Pt. 3.mp4 71.2 MB
  3. Particle Tracking - Pt. 3.srt 12.2 KB
  4. Coding With JupyterLab.mp4 63.4 MB
  4. Coding With JupyterLab.srt 14 KB
  4. Colors & Colormaps - Pt. 4.mp4 28.9 MB
  4. Colors & Colormaps - Pt. 4.srt 6.5 KB
  4. Monte Carlo Method - Pt. 4.mp4 61.5 MB
  4. Monte Carlo Method - Pt. 4.srt 11 KB
  4. Particle Tracking - Pt. 4.mp4 58.2 MB
  4. Particle Tracking - Pt. 4.srt 9.4 KB
  4.1 generate_video.ipynb 38.8 KB
  4.2 particle_tracking.mp4 164.9 MB
  5. Creating Custom Styles - Pt. 1.mp4 38.3 MB
  5. Creating Custom Styles - Pt. 1.srt 5.1 KB
  5. Monte Carlo Integration - Pt. 1.mp4 12.3 MB
  5. Monte Carlo Integration - Pt. 1.srt 2.2 KB
  5. Parameter Estimation - Pt. 1.mp4 56.7 MB
  5. Parameter Estimation - Pt. 1.srt 9.5 KB
  5.1 sandbox.ipynb 2.8 KB
  5.1 sandbox_estimate_integral.ipynb 3.8 KB
  5.2 sandbox.ipynb 9.5 KB
  5.2 solution.ipynb 85.9 KB
  5.2 solution_estimate_integral.ipynb 82.1 KB
  5.3 solution.ipynb 256.6 KB
  5.3 style sheets.html 102.4 B
  6. Creating Custom Styles - Pt. 2.mp4 35 MB
  6. Creating Custom Styles - Pt. 2.srt 6.1 KB
  6. Monte Carlo Integration - Pt. 2.mp4 51.1 MB
  6. Monte Carlo Integration - Pt. 2.srt 9.3 KB
  6. Parameter Estimation - Pt. 2.mp4 114.6 MB
  6. Parameter Estimation - Pt. 2.srt 16.1 KB
  7. Creating Custom Styles - Pt. 3.mp4 39.7 MB
  7. Creating Custom Styles - Pt. 3.srt 7.8 KB
  7. Monte Carlo Integration - Pt. 3.mp4 44.1 MB
  7. Monte Carlo Integration - Pt. 3.srt 5.9 KB
  7. Parameter Estimation - Pt. 3.mp4 46.3 MB
  7. Parameter Estimation - Pt. 3.srt 7.3 KB
  8. Creating Custom Styles - Pt. 4.mp4 59 MB
  8. Creating Custom Styles - Pt. 4.srt 10.3 KB
  8. Monte Carlo Integration - Pt. 4.mp4 80.4 MB
  8. Monte Carlo Integration - Pt. 4.srt 13.5 KB
  8. Parameter Estimation - Pt. 4.mp4 93.2 MB
  8. Parameter Estimation - Pt. 4.srt 12.4 KB
  8.1 custom_style.mplstyle 512 B
  9. Figure Export & Post-Processing - Pt. 1.mp4 44.4 MB
  9. Figure Export & Post-Processing - Pt. 1.srt 7.9 KB
  9. Harmonic Oscillator - Pt. 1.mp4 76.1 MB
  9. Harmonic Oscillator - Pt. 1.srt 12.5 KB
  9. Parameter Estimation - Pt. 5.mp4 65.6 MB
  9. Parameter Estimation - Pt. 5.srt 9.3 KB
  9.1 discrete-time Fourier transform.html 102.4 B
  9.1 sandbox.ipynb 2.5 KB
  9.2 harmonic oscillator.html 102.4 B
  9.2 solution.ipynb 37.7 KB
  9.3 sandbox.ipynb 5 KB
  9.4 solution.ipynb 144.5 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  multi_spectrum-checkpoint.txt 18.9 KB
  multi_spectrum.txt 18.9 KB
  multi_spectrum_weighted.txt 19 KB
  noise_spectrum_0.txt 19.2 KB
  noise_spectrum_1.txt 19.2 KB
  noise_spectrum_10.txt 19.2 KB
  noise_spectrum_11.txt 19.2 KB
  noise_spectrum_12.txt 19.2 KB
  noise_spectrum_13.txt 19.2 KB
  noise_spectrum_14.txt 19.2 KB
  noise_spectrum_15.txt 19.2 KB
  noise_spectrum_16.txt 19.2 KB
  noise_spectrum_17.txt 19.2 KB
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  noise_spectrum_2.txt 19.2 KB
  noise_spectrum_20.txt 19.2 KB
  noise_spectrum_21.txt 19.2 KB
  noise_spectrum_22.txt 19.2 KB
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  noise_spectrum_24.txt 19.2 KB
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  noise_spectrum_27.txt 19.2 KB
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  noise_spectrum_3.txt 19.2 KB
  noise_spectrum_30.txt 19.1 KB
  noise_spectrum_31.txt 19.2 KB
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  noise_spectrum_36.txt 19.1 KB
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  noise_spectrum_4.txt 19.2 KB
  noise_spectrum_40.txt 19.2 KB
  noise_spectrum_41.txt 19.2 KB
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  noise_spectrum_5.txt 19.2 KB
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  noise_spectrum_6.txt 19.2 KB
  noise_spectrum_60.txt 19.2 KB
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  noise_spectrum_7.txt 19.1 KB
  noise_spectrum_70.txt 19.2 KB
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  noise_spectrum_9.txt 19.2 KB
  noise_spectrum_90.txt 19.2 KB
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  noise_spectrum_92.txt 19.2 KB
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  noise_spectrum_96.txt 19.2 KB
  noise_spectrum_97.txt 19.2 KB
  noise_spectrum_98.txt 19.2 KB
  noise_spectrum_99.txt 19.2 KB
  single_spectrum-checkpoint.txt 0 B
  single_spectrum.txt 19.2 KB
  ▲ 245 total files

Description


Python for STEM
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 51 lectures (6h 45m) | Size: 2.6 GB
Learn how to solve problems from science & engineering with Python!
What you'll learn:
Solving typical problems in the STEM disciplines with Python
Implementing Monte Carlo methods with NumPy
Solving differential equations with SciPy
Simulating & tracking particle diffusion with OpenCV & SciPy
Estimating parameters and optimization with SciPy
Performing statistical analysis with Pandas
Creating high-quality figures with Matplotlib

Requirements
Intermediate Python skills (i.e. knowledge of using NumPy, Matplotlib, or SciPy)
Knowledge of advanced calculus and algebra (i.e. familiar with differential equations, vectors, or matrices)

Description
This course teaches you how to approach and solve typical problems that occur in science, technology, engineering, and maths (STEM). You will learn how to master some of the most popular Python packages including

Numpy

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