Udemy - Master Math by Coding in Python

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[FreeCourseWorld.Com] Udemy - Master Math by Coding in Python 1. Introductions and installations
  • 1. (Important) How to get the most out of this course!.mp4 (36.7 MB)
  • 1. (Important) How to get the most out of this course!.srt (8.3 KB)
  • 2. Using Python through Jupyter (installing Anaconda).mp4 (41.3 MB)
  • 2. Using Python through Jupyter (installing Anaconda).srt (9.4 KB)
  • 3. Using Python online (no installation!).mp4 (60.0 MB)
  • 3. Using Python online (no installation!).srt (12.3 KB)
  • 4. Create a beautiful harmonograph!.mp4 (55.6 MB)
  • 4. Create a beautiful harmonograph!.srt (10.0 KB)
  • 4.1 MXC_pymath_harmonograph.zip.zip (0.9 KB)
  • 5. Getting help in Python.mp4 (51.3 MB)
  • 5. Getting help in Python.srt (13.5 KB)
10. Calculus
  • 1. Python code for this section.html (0.1 KB)
  • 1.1 pymath_calc.zip.zip (6.8 KB)
  • 10. Graphing a function tangent line.mp4 (70.3 MB)
  • 10. Graphing a function tangent line.srt (18.1 KB)
  • 11. Graphing tangent lines exercise.mp4 (61.1 MB)
  • 11. Graphing tangent lines exercise.srt (16.2 KB)
  • 12. Finding critical points.mp4 (83.5 MB)
  • 12. Finding critical points.srt (21.8 KB)
  • 13. Finding critical points exercise.mp4 (89.6 MB)
  • 13. Finding critical points exercise.srt (19.9 KB)
  • 14. Partial derivatives.mp4 (55.6 MB)
  • 14. Partial derivatives.srt (14.6 KB)
  • 15. Indefinite and definite integrals.mp4 (60.8 MB)
  • 15. Indefinite and definite integrals.srt (20.2 KB)
  • 16. Exercise The fundamental theorem of calculus.mp4 (19.7 MB)
  • 16. Exercise The fundamental theorem of calculus.srt (6.2 KB)
  • 17. Area between two curves.mp4 (59.4 MB)
  • 17. Area between two curves.srt (16.4 KB)
  • 18. Area between two curves exercise.mp4 (76.1 MB)
  • 18. Area between two curves exercise.srt (17.9 KB)
  • 19. Calculus bug hunt!.mp4 (104.6 MB)
  • 19. Calculus bug hunt!.srt (21.3 KB)
  • 2. Mathematical proofs vs. intuition with examples.mp4 (20.2 MB)
  • 2. Mathematical proofs vs. intuition with examples.srt (4.3 KB)
  • 3. Computing limits of a function.mp4 (65.0 MB)
  • 3. Computing limits of a function.srt (18.2 KB)
  • 4. Computing limits exercise.mp4 (60.3 MB)
  • 4. Computing limits exercise.srt (15.2 KB)
  • 5. Piecewise functions.mp4 (76.6 MB)
  • 5. Piecewise functions.srt (21.0 KB)
  • 6. Derivatives of polynomials.mp4 (65.7 MB)
  • 6. Derivatives of polynomials.srt (18.9 KB)
  • 7. Derivatives of polynomials exercise.mp4 (54.8 MB)
  • 7. Derivatives of polynomials exercise.srt (11.8 KB)
  • 8. Derivatives of trig functions.mp4 (56.0 MB)
  • 8. Derivatives of trig functions.srt (15.2 KB)
  • 9. Derivatives of trig functions exercise.mp4 (48.8 MB)
  • 9. Derivatives of trig functions exercise.srt (10.9 KB)
11. Linear algebra
  • 1. Python code for this section.html (0.1 KB)
  • 1.1 pymath_linalg.zip.zip (408.2 KB)
  • 10. Matrix inverse.mp4 (52.3 MB)
  • 10. Matrix inverse.srt (15.4 KB)
  • 11. Matrix pseudoinverse exercise.mp4 (62.1 MB)
  • 11. Matrix pseudoinverse exercise.srt (13.3 KB)
  • 12. Solving a system of equations.mp4 (92.3 MB)
  • 12. Solving a system of equations.srt (24.5 KB)
  • 13. Visualizing matrix-vector multiplication.mp4 (65.3 MB)
  • 13. Visualizing matrix-vector multiplication.srt (18.8 KB)
  • 14. Eigenvalues and eigenvectors.mp4 (69.4 MB)
  • 14. Eigenvalues and eigenvectors.srt (17.7 KB)
  • 15. Eigendecomposition Exercise.mp4 (66.4 MB)
  • 15. Eigendecomposition Exercise.srt (16.5 KB)
  • 16. Singular value decomposition.mp4 (64.2 MB)
  • 16. Singular value decomposition.srt (16.3 KB)
  • 17. SVD of Einstein exercise.mp4 (73.1 MB)
  • 17. SVD of Einstein exercise.srt (16.3 KB)
  • 18. Linear algebra BUG HUNT!.mp4 (123.6 MB)
  • 18. Linear algebra BUG HUNT!.srt (26.9 KB)
  • 2. Row and column vectors.mp4 (75.0 MB)
  • 2. Row and column vectors.srt (22.3 KB)
  • 3. Adding and scalar-multiplying vectors.mp4 (69.8 MB)
  • 3. Adding and scalar-multiplying vectors.srt (21.3 KB)
  • 4. The dot product.mp4 (72.3 MB)
  • 4. The dot product.srt (20.1 KB)
  • 5. Dot product application Correlation coefficient.mp4 (56.4 MB)
  • 5. Dot product application Correlation coefficient.srt (16.2 KB)
  • 6. The outer product.mp4 (52.6 MB)
  • 6. The outer product.srt (13.8 KB)
  • 7. Matrix multiplication.mp4 (78.4 MB)
  • 7. Matrix multiplication.srt (21.3 KB)
  • 8. Transposing vectors and matrices.mp4 (59.6 MB)
  • 8. Transposing vectors and matrices.srt (17.7 KB)
  • 9. Various special matrices.mp4 (90.3 MB)
  • 9. Various special matrices.srt (24.1 KB)
12. Probabilities and histograms
  • 1. Python codes for this section.html (0.0 KB)
  • 1.1 pymath_probability_pythonCodes.zip.zip (430.3 KB)
  • 10. Joint probability distributions.mp4 (77.6 MB)
  • 10. Joint probability distributions.srt (20.3 KB)
  • 11. Probability bug hunt!.mp4 (74.7 MB)
  • 11. Probability bug hunt!.srt (13.8 KB)
  • 2. Histograms and probability densities.mp4 (68.4 MB)
  • 2. Histograms and probability densities.srt (17.2 KB)
  • 3. Probability exercise math functions.mp4 (58.8 MB)
  • 3. Probability exercise math functions.srt (15.6 KB)
  • 4. Virtual coin tosses.mp4 (60.8 MB)
  • 4. Virtual coin tosses.srt (17.8 KB)
  • 5. Exercise Virtual weighted dice.mp4 (71.4 MB)
  • 5. Exercise Virtual weighted dice.srt (19.7 KB)
  • 6. Building distributions from random numbers.mp4 (95.5 MB)
  • 6. Building distributions from random numbers.srt (23.9 KB)
  • 7. Exercise Normalize any distribution to Gaussian.mp4 (66.5 MB)
  • 7. Exercise Normalize any distribution to Gaussian.srt (15.2 KB)
  • 8. The central limit theorem.mp4 (86.3 MB)
  • 8. The central limit theorem.srt (19.0 KB)
  • 9. Exercise the central limit theorem.mp4 (72.0 MB)
  • 9. Exercise the central lim

Description

Master Math by Coding in Python

Many people don't know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That's exactly what you'll learn in this course.

Created by Codestars by Rob Percival, Mike X Cohen
Last updated 2/2020
English
English [Auto-generated]

For More Courses Visit: https://freecourseworld.com



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Udemy - Master Math by Coding in Python


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9.2 GB
seeders:31
leechers:35
Udemy - Master Math by Coding in Python


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