Udemy - Master calculus 1 using Python derivatives and applications (1.2025)

Creation Time	Aug. 10, 2025, 6:26 p.m.
Last Access Time	Oct. 10, 2025, 6:44 p.m.
File Size	7.9 GB
Keywords	calculus derivatives and 2025 Python - Udemy 1 applications Master using
Total Requests	152
Total Files	354
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11. Applications/10. CodeChallenge Newt's roots, part 1.mp4 122.9 MB
07. Differentiation fundamentals/12. CodeChallenge trig derivatives.mp4 117.4 MB
13. Multivariate differentiation/13. CodeChallenge Gradient fields, part 2.mp4 110.2 MB
09. Differentiation rules and theorems/1. Section summary and goals.mp4 109.9 MB
09. Differentiation rules and theorems/20. CodeChallenge Implement the MVT algorithm.mp4 106.6 MB
07. Differentiation fundamentals/9. CodeChallenge Linearity of differentiation.mp4 104.6 MB
13. Multivariate differentiation/5. CodeChallenge 2D functions in sympy.mp4 103.2 MB
09. Differentiation rules and theorems/15. CodeChallenge Derivatives of derivatives... (part 1).mp4 102.7 MB
13. Multivariate differentiation/4. CodeChallenge Fun with 2D functions (numpy), part 2.mp4 102.0 MB
13. Multivariate differentiation/3. CodeChallenge Fun with 2D functions (numpy), part 1.mp4 100.7 MB
11. Applications/18. CodeChallenge Gradient descent using sympy.mp4 98.6 MB
13. Multivariate differentiation/12. CodeChallenge Gradient fields, part 1.mp4 98.0 MB
03. Functions/9. CodeChallenge polynomials, part 1.mp4 94.6 MB
05. Limits/17. CodeChallenge Trig limits in sympy, part 1.mp4 94.3 MB
03. Functions/32. CodeChallenge Infinite functions to sketch, part 1.mp4 93.1 MB
03. Functions/18. CodeChallenge trigonometry.mp4 91.0 MB
09. Differentiation rules and theorems/23. CodeChallenge More differentiation exercises, part 1.mp4 87.5 MB
09. Differentiation rules and theorems/7. CodeChallenge product and quotient rules.mp4 87.1 MB
05. Limits/18. CodeChallenge Trig limits in sympy, part 2.mp4 84.6 MB
11. Applications/6. Linear approximations.mp4 83.9 MB
11. Applications/7. CodeChallenge linear approximations, part 1.mp4 81.8 MB
13. Multivariate differentiation/15. CodeChallenge 2D gradient descent, part 1.mp4 81.2 MB
05. Limits/6. CodeChallenge limits in numpy & sympy, part 1.mp4 80.1 MB
05. Limits/8. CodeChallenge properties of limits, part 1.mp4 79.6 MB
03. Functions/31. Sketching functions by hand.mp4 78.7 MB
13. Multivariate differentiation/16. CodeChallenge 2D gradient descent, part 2.mp4 75.9 MB
05. Limits/11. CodeChallenge Limits at discontinuities, part 1.mp4 75.8 MB
11. Applications/4. Code challenge The second derivative test, part 1.mp4 75.8 MB
03. Functions/30. Function symmetry (even and odd).mp4 75.5 MB
11. Applications/15. CodeChallenge farmers and Qberts.mp4 75.2 MB
18. Python intro Sympy and latex/3. Intro to sympy, part 2.mp4 74.0 MB
11. Applications/5. Code challenge The second derivative test, part 2.mp4 73.2 MB
03. Functions/15. CodeChallenge Power and log, part 1.mp4 72.8 MB
03. Functions/33. CodeChallenge Infinite functions to sketch, part 2.mp4 72.6 MB
05. Limits/12. CodeChallenge Limits at discontinuities, part 2.mp4 72.1 MB
09. Differentiation rules and theorems/21. CodeChallenge Use the MVT to explore functions.mp4 72.1 MB
19. Python intro Text and data visualization/5. Images.mp4 71.0 MB
17. Python intro Flow control/4. While loops.mp4 70.7 MB
13. Multivariate differentiation/10. CodeChallenge Complete partial exercises.mp4 70.2 MB
03. Functions/13. CodeChallenge exp and log, part 1.mp4 68.4 MB
13. Multivariate differentiation/7. CodeChallenge Partial derivatives.mp4 68.3 MB
07. Differentiation fundamentals/19. CodeChallenge Infinite derivatives exercises.mp4 68.2 MB
18. Python intro Sympy and latex/2. Intro to LaTex.mp4 68.0 MB
05. Limits/7. CodeChallenge limits in numpy & sympy, part 2.mp4 67.1 MB
09. Differentiation rules and theorems/22. CodeChallenge numerical approximations to MVT.mp4 66.6 MB
11. Applications/13. Optimize for surface area.mp4 66.2 MB
09. Differentiation rules and theorems/13. CodeChallenge derivative of c^x and x^x.mp4 64.7 MB
11. Applications/17. CodeChallenge Gradient descent in numpy.mp4 63.8 MB
05. Limits/23. CodeChallenge Infinite limits exercises, part 2.mp4 62.4 MB
16. Python intro Functions/6. Generating random numbers.mp4 62.1 MB
03. Functions/24. CodeChallenge discontinuities, part 2.mp4 59.6 MB
07. Differentiation fundamentals/17. CodeChallenge Critical points in Python, part 1.mp4 59.6 MB
09. Differentiation rules and theorems/24. CodeChallenge More differentiation exercises, part 2.mp4 59.5 MB
19. Python intro Text and data visualization/4. Making the graphs look nicer.mp4 59.0 MB
07. Differentiation fundamentals/3. CodeChallenge Global and local slopes.mp4 58.2 MB
03. Functions/7. CodeChallenge math in python, part 2.mp4 56.4 MB
03. Functions/23. CodeChallenge discontinuities, part 1.mp4 55.6 MB
11. Applications/2. Racing functions to infinity and beyond!.mp4 54.4 MB
01. Introductions/3. Using the Udemy platform.mp4 54.3 MB
17. Python intro Flow control/2. If-else statements, part 2.mp4 53.2 MB
09. Differentiation rules and theorems/6. Quotient rule.mp4 52.4 MB
19. Python intro Text and data visualization/1. String interpolation and f-strings.mp4 51.7 MB
15. Python intro Indexing and slicing/1. Indexing.mp4 51.0 MB
09. Differentiation rules and theorems/11. CodeChallenge implicit differentiation, part 1.mp4 50.3 MB
09. Differentiation rules and theorems/18. Rolle's Theorem.mp4 49.8 MB
05. Limits/3. CodeChallenge Limits via Zeno's paradox.mp4 49.5 MB
09. Differentiation rules and theorems/4. Product rule.mp4 49.4 MB
11. Applications/8. CodeChallenge linear approximations, part 2.mp4 49.2 MB
05. Limits/16. Limits of trig functions, part 2.mp4 48.7 MB
03. Functions/20. CodeChallenge piecewise functions, part 1.mp4 48.2 MB
16. Python intro Functions/4. Creating functions.mp4 47.6 MB
13. Multivariate differentiation/11. Gradients and gradient fields.mp4 47.1 MB
09. Differentiation rules and theorems/14. Higher-order derivatives.mp4 46.1 MB
03. Functions/10. CodeChallenge polynomials, part 2.mp4 45.9 MB
14. Python intro Data types/6. Booleans.mp4 45.8 MB
03. Functions/14. CodeChallenge exp and log, part 2.mp4 44.8 MB
09. Differentiation rules and theorems/9. Implicit differentiation.mp4 44.6 MB
03. Functions/12. Exponential and log functions.mp4 44.5 MB
17. Python intro Flow control/7. Single-line loops (list comprehension).mp4 44.1 MB
03. Functions/6. CodeChallenge math in python, part 1.mp4 44.0 MB
17. Python intro Flow control/5. Initializing variables.mp4 43.6 MB
09. Differentiation rules and theorems/8. CodeChallenge chain rule.mp4 43.3 MB
03. Functions/28. CodeChallenge Composite and inverse, part 1.mp4 42.4 MB
03. Functions/16. CodeChallenge Power and log, part 2.mp4 41.6 MB
03. Functions/8. Polynomial functions.mp4 41.5 MB
19. Python intro Text and data visualization/3. Subplot geometry.mp4 41.4 MB
14. Python intro Data types/2. Variables.mp4 41.1 MB
13. Multivariate differentiation/8. Higher-order partial derivatives.mp4 40.8 MB
09. Differentiation rules and theorems/17. L'Hospital's Rule for indeterminant limits.mp4 40.7 MB
11. Applications/11. CodeChallenge Newt's roots, part 2.mp4 39.8 MB
16. Python intro Functions/5. Global and local variable scopes.mp4 39.1 MB
13. Multivariate differentiation/9. CodeChallenge Higher-order partial derivatives.mp4 38.5 MB
05. Limits/10. Continuity and discontinuities, revisited.mp4 38.1 MB
11. Applications/9. Newton's method for finding roots.mp4 37.9 MB
19. Python intro Text and data visualization/6. Export plots in low and high resolution.mp4 37.4 MB
07. Differentiation fundamentals/18. CodeChallenge Critical points in Python, part 2.mp4 37.4 MB
17. Python intro Flow control/3. For loops.mp4 37.3 MB
03. Functions/29. CodeChallenge Composite and inverse, part 2.mp4 36.9 MB
14. Python intro Data types/3. Math operators.mp4 35.9 MB
17. Python intro Flow control/1. If-else statements, part 1.mp4 35.7 MB
03. Functions/17. Trigonometric functions.mp4 35.6 MB
07. Differentiation fundamentals/4. Formal definition of the derivative.mp4 35.6 MB
03. Functions/5. Linear and nonlinear functions.mp4 35.0 MB
16. Python intro Functions/3. Getting help on functions.mp4 34.8 MB
05. Limits/22. CodeChallenge Infinite limits exercises, part 1.mp4 34.7 MB
05. Limits/9. CodeChallenge properties of limits, part 2.mp4 34.5 MB
07. Differentiation fundamentals/10. Derivatives of polynomials.mp4 34.0 MB
16. Python intro Functions/2. The numpy library.mp4 33.1 MB
07. Differentiation fundamentals/11. Derivatives of cosine and sine.mp4 32.7 MB
11. Applications/3. The second derivative test.mp4 32.3 MB
05. Limits/20. What the $% is an infinitesimal.mp4 32.1 MB
11. Applications/16. Gradient descent.mp4 31.6 MB
05. Limits/21. Sketching functions by hand, redux.mp4 30.2 MB
07. Differentiation fundamentals/7. CodeChallenge derivatives in sympy.mp4 29.4 MB
11. Applications/12. Solving simple optimization problems.mp4 29.2 MB
15. Python intro Indexing and slicing/2. Slicing.mp4 29.0 MB
03. Functions/1. Section summary and goals.mp4 27.1 MB
14. Python intro Data types/7. Dictionaries.mp4 27.1 MB
07. Differentiation fundamentals/16. Finding critical points.mp4 26.9 MB
05. Limits/15. Squeeze theorem.mp4 26.4 MB
11. Applications/14. Optimize for volume.mp4 25.9 MB
17. Python intro Flow control/6. Enumerate and zip iterables.mp4 25.5 MB
09. Differentiation rules and theorems/5. Chain rule.mp4 25.0 MB
09. Differentiation rules and theorems/19. Mean value theorem.mp4 24.9 MB
19. Python intro Text and data visualization/2. Plotting dots and lines.mp4 24.4 MB
14. Python intro Data types/4. Lists.mp4 24.4 MB
07. Differentiation fundamentals/6. Various notations of the derivative.mp4 24.3 MB
18. Python intro Sympy and latex/1. Intro to sympy, part 1.mp4 24.3 MB
03. Functions/3. What is a function.mp4 24.2 MB
03. Functions/21. CodeChallenge piecewise functions, part 2.mp4 24.0 MB
13. Multivariate differentiation/6. Partial derivatives.mp4 23.3 MB
09. Differentiation rules and theorems/16. CodeChallenge Derivatives of derivatives... (part 2).mp4 22.5 MB
03. Functions/27. Inverse functions.mp4 22.2 MB
03. Functions/2. Terminology in math vs. coding.mp4 22.1 MB
05. Limits/13. Limits of trig functions, part 1.mp4 21.9 MB
03. Functions/22. Continuous and discontinuous functions.mp4 20.9 MB
12. Tangent The joys and challenges of learning/1. Embrace difficulties.mp4 20.8 MB
03. Functions/26. Composite functions.mp4 20.5 MB
08. Tangent Where does math come from/1. Is math discovered or invented.mp4 20.4 MB
07. Differentiation fundamentals/15. Critical points Definition and applications.mp4 20.3 MB
05. Limits/2. Limits in geometry and algebra.mp4 20.3 MB
13. Multivariate differentiation/2. 2D functions.mp4 20.3 MB
03. Functions/4. Domain and range of a function.mp4 20.0 MB
06. Tangent Accountability in online learning/1. The pros and cons of self-directed learning.mp4 19.5 MB
07. Differentiation fundamentals/8. Interpreting derivatives plots.mp4 19.5 MB
09. Differentiation rules and theorems/12. CodeChallenge implicit differentiation, part 2.mp4 19.1 MB
10. Tangent Learn from multiple sources/1. Benefits of varied learning sources.mp4 19.0 MB
02. Download all course materials/1. IMPORTANT Downloading and using the code.mp4 18.5 MB
09. Differentiation rules and theorems/10. Implicit differentiation proofs (log, exp, power).mp4 17.9 MB
05. Limits/1. Section summary and goals.mp4 17.9 MB
05. Limits/19. Limited limits possibilities.mp4 17.6 MB
01. Introductions/2. Gradient fields forever (hands-on activity).mp4 17.5 MB
04. Tangent Levels of understanding/1. What does it mean to understand math.mp4 17.2 MB
07. Differentiation fundamentals/14. Derivatives of log and exp.mp4 16.6 MB
09. Differentiation rules and theorems/3. Theorem Differentiability implies continuity.mp4 16.5 MB
07. Differentiation fundamentals/2. Slope of a line.mp4 15.9 MB
14. Python intro Data types/5. Tuples.mp4 15.4 MB
07. Differentiation fundamentals/5. Derivative of a constant is 0 (proof).mp4 13.7 MB
16. Python intro Functions/1. Inputs and outputs.mp4 13.4 MB
05. Limits/4. Easy limits by plugging in or factoring.mp4 13.3 MB
05. Limits/5. One-sided limits and infinities.mp4 13.0 MB
03. Functions/25. Intermediate value theorem.mp4 12.9 MB
11. Applications/1. Section summary and goals.mp4 11.2 MB
07. Differentiation fundamentals/13. Derivatives of absolute value and square root.mp4 11.1 MB
01. Introductions/1. Prerequisites and how to rock this course.mp4 10.9 MB
06. Tangent Accountability in online learning/2. Suggestions for learning accountability.mp4 10.2 MB
09. Differentiation rules and theorems/2. Linearity of differentiation (proof).mp4 10.1 MB
07. Differentiation fundamentals/1. Section summary and goals.mp4 9.5 MB
13. Multivariate differentiation/1. Section summary and goals.mp4 8.3 MB
02. Download all course materials/3. Should you watch the Python tutorial.mp4 7.5 MB
03. Functions/19. Piecewise functions.mp4 7.4 MB
05. Limits/14. CodeChallenge Confirm the trig limits.mp4 7.1 MB
13. Multivariate differentiation/14. Gradient descent in 2D.mp4 6.4 MB
03. Functions/11. Transcendental functions.mp4 6.1 MB
04. Tangent Levels of understanding/2. Timescales of discovering vs. learning math.mp4 4.6 MB
02. Download all course materials/2. My policy on sharing code.mp4 3.9 MB
11. Applications/15. CodeChallenge farmers and Qberts.vtt 33.0 KB
09. Differentiation rules and theorems/9. Implicit differentiation.vtt 31.1 KB
09. Differentiation rules and theorems/13. CodeChallenge derivative of c^x and x^x.vtt 29.6 KB
09. Differentiation rules and theorems/17. L'Hospital's Rule for indeterminant limits.vtt 29.2 KB
03. Functions/31. Sketching functions by hand.vtt 29.0 KB
11. Applications/10. CodeChallenge Newt's roots, part 1.vtt 28.5 KB
09. Differentiation rules and theorems/20. CodeChallenge Implement the MVT algorithm.vtt 28.4 KB
13. Multivariate differentiation/13. CodeChallenge Gradient fields, part 2.vtt 28.0 KB
11. Applications/9. Newton's method for finding roots.vtt 27.5 KB
11. Applications/17. CodeChallenge Gradient descent in numpy.vtt 27.1 KB
05. Limits/12. CodeChallenge Limits at discontinuities, part 2.vtt 26.5 KB
16. Python intro Functions/4. Creating functions.vtt 26.0 KB
13. Multivariate differentiation/5. CodeChallenge 2D functions in sympy.vtt 25.9 KB
13. Multivariate differentiation/3. CodeChallenge Fun with 2D functions (numpy), part 1.vtt 25.8 KB
07. Differentiation fundamentals/9. CodeChallenge Linearity of differentiation.vtt 25.8 KB
13. Multivariate differentiation/12. CodeChallenge Gradient fields, part 1.vtt 25.6 KB
09. Differentiation rules and theorems/8. CodeChallenge chain rule.vtt 25.3 KB
09. Differentiation rules and theorems/15. CodeChallenge Derivatives of derivatives... (part 1).vtt 25.1 KB
11. Applications/7. CodeChallenge linear approximations, part 1.vtt 24.9 KB
11. Applications/18. CodeChallenge Gradient descent using sympy.vtt 24.7 KB
07. Differentiation fundamentals/19. CodeChallenge Infinite derivatives exercises.vtt 24.7 KB
11. Applications/6. Linear approximations.vtt 24.1 KB
03. Functions/15. CodeChallenge Power and log, part 1.vtt 24.1 KB
13. Multivariate differentiation/4. CodeChallenge Fun with 2D functions (numpy), part 2.vtt 24.0 KB
03. Functions/23. CodeChallenge discontinuities, part 1.vtt 24.0 KB
03. Functions/32. CodeChallenge Infinite functions to sketch, part 1.vtt 23.5 KB
05. Limits/6. CodeChallenge limits in numpy & sympy, part 1.vtt 23.2 KB
17. Python intro Flow control/4. While loops.vtt 23.2 KB
11. Applications/4. Code challenge The second derivative test, part 1.vtt 23.1 KB
05. Limits/17. CodeChallenge Trig limits in sympy, part 1.vtt 23.0 KB
07. Differentiation fundamentals/4. Formal definition of the derivative.vtt 22.8 KB
14. Python intro Data types/6. Booleans.vtt 22.8 KB
19. Python intro Text and data visualization/4. Making the graphs look nicer.vtt 22.7 KB
14. Python intro Data types/2. Variables.vtt 22.6 KB
03. Functions/9. CodeChallenge polynomials, part 1.vtt 22.6 KB
07. Differentiation fundamentals/12. CodeChallenge trig derivatives.vtt 22.5 KB
09. Differentiation rules and theorems/11. CodeChallenge implicit differentiation, part 1.vtt 22.5 KB
03. Functions/18. CodeChallenge trigonometry.vtt 22.4 KB
18. Python intro Sympy and latex/2. Intro to LaTex.vtt 22.4 KB
14. Python intro Data types/3. Math operators.vtt 22.2 KB
11. Applications/13. Optimize for surface area.vtt 22.0 KB
07. Differentiation fundamentals/3. CodeChallenge Global and local slopes.vtt 21.9 KB
07. Differentiation fundamentals/11. Derivatives of cosine and sine.vtt 21.9 KB
18. Python intro Sympy and latex/3. Intro to sympy, part 2.vtt 21.9 KB
05. Limits/3. CodeChallenge Limits via Zeno's paradox.vtt 21.7 KB
09. Differentiation rules and theorems/23. CodeChallenge More differentiation exercises, part 1.vtt 21.7 KB
11. Applications/3. The second derivative test.vtt 21.4 KB
03. Functions/20. CodeChallenge piecewise functions, part 1.vtt 21.0 KB
05. Limits/18. CodeChallenge Trig limits in sympy, part 2.vtt 21.0 KB
17. Python intro Flow control/3. For loops.vtt 20.9 KB
19. Python intro Text and data visualization/5. Images.vtt 20.9 KB
03. Functions/17. Trigonometric functions.vtt 20.9 KB
05. Limits/7. CodeChallenge limits in numpy & sympy, part 2.vtt 20.4 KB
03. Functions/13. CodeChallenge exp and log, part 1.vtt 20.4 KB
09. Differentiation rules and theorems/7. CodeChallenge product and quotient rules.vtt 20.2 KB
17. Python intro Flow control/5. Initializing variables.vtt 20.1 KB
13. Multivariate differentiation/16. CodeChallenge 2D gradient descent, part 2.vtt 19.9 KB
05. Limits/11. CodeChallenge Limits at discontinuities, part 1.vtt 19.4 KB
09. Differentiation rules and theorems/18. Rolle's Theorem.vtt 19.4 KB
19. Python intro Text and data visualization/1. String interpolation and f-strings.vtt 19.0 KB
13. Multivariate differentiation/7. CodeChallenge Partial derivatives.vtt 18.9 KB
05. Limits/23. CodeChallenge Infinite limits exercises, part 2.vtt 18.9 KB
17. Python intro Flow control/2. If-else statements, part 2.vtt 18.9 KB
03. Functions/30. Function symmetry (even and odd).vtt 18.8 KB
19. Python intro Text and data visualization/3. Subplot geometry.vtt 18.7 KB
03. Functions/28. CodeChallenge Composite and inverse, part 1.vtt 18.4 KB
17. Python intro Flow control/1. If-else statements, part 1.vtt 18.4 KB
03. Functions/12. Exponential and log functions.vtt 18.3 KB
17. Python intro Flow control/7. Single-line loops (list comprehension).vtt 18.3 KB
11. Applications/5. Code challenge The second derivative test, part 2.vtt 18.2 KB
03. Functions/24. CodeChallenge discontinuities, part 2.vtt 18.1 KB
07. Differentiation fundamentals/16. Finding critical points.vtt 17.9 KB
09. Differentiation rules and theorems/6. Quotient rule.vtt 17.7 KB
11. Applications/12. Solving simple optimization problems.vtt 17.6 KB
03. Functions/29. CodeChallenge Composite and inverse, part 2.vtt 17.6 KB
13. Multivariate differentiation/10. CodeChallenge Complete partial exercises.vtt 17.5 KB
03. Functions/10. CodeChallenge polynomials, part 2.vtt 17.4 KB
03. Functions/6. CodeChallenge math in python, part 1.vtt 17.4 KB
11. Applications/2. Racing functions to infinity and beyond!.vtt 17.3 KB
09. Differentiation rules and theorems/22. CodeChallenge numerical approximations to MVT.vtt 17.3 KB
07. Differentiation fundamentals/7. CodeChallenge derivatives in sympy.vtt 17.2 KB
05. Limits/21. Sketching functions by hand, redux.vtt 17.2 KB
03. Functions/14. CodeChallenge exp and log, part 2.vtt 17.2 KB
09. Differentiation rules and theorems/14. Higher-order derivatives.vtt 17.1 KB
13. Multivariate differentiation/15. CodeChallenge 2D gradient descent, part 1.vtt 16.7 KB
11. Applications/16. Gradient descent.vtt 16.7 KB
09. Differentiation rules and theorems/5. Chain rule.vtt 16.6 KB
05. Limits/8. CodeChallenge properties of limits, part 1.vtt 16.6 KB
16. Python intro Functions/2. The numpy library.vtt 16.5 KB
07. Differentiation fundamentals/18. CodeChallenge Critical points in Python, part 2.vtt 16.4 KB
16. Python intro Functions/5. Global and local variable scopes.vtt 16.4 KB
14. Python intro Data types/4. Lists.vtt 16.3 KB
11. Applications/14. Optimize for volume.vtt 16.2 KB
05. Limits/13. Limits of trig functions, part 1.vtt 16.0 KB
03. Functions/7. CodeChallenge math in python, part 2.vtt 16.0 KB
05. Limits/22. CodeChallenge Infinite limits exercises, part 1.vtt 16.0 KB
09. Differentiation rules and theorems/21. CodeChallenge Use the MVT to explore functions.vtt 15.5 KB
03. Functions/3. What is a function.vtt 15.4 KB
07. Differentiation fundamentals/17. CodeChallenge Critical points in Python, part 1.vtt 15.3 KB
03. Functions/27. Inverse functions.vtt 15.3 KB
01. Introductions/2. Gradient fields forever (hands-on activity).vtt 15.2 KB
09. Differentiation rules and theorems/4. Product rule.vtt 15.1 KB
15. Python intro Indexing and slicing/1. Indexing.vtt 15.0 KB
05. Limits/16. Limits of trig functions, part 2.vtt 14.9 KB
18. Python intro Sympy and latex/1. Intro to sympy, part 1.vtt 14.9 KB
15. Python intro Indexing and slicing/2. Slicing.vtt 14.9 KB
19. Python intro Text and data visualization/2. Plotting dots and lines.vtt 14.7 KB
05. Limits/15. Squeeze theorem.vtt 14.7 KB
13. Multivariate differentiation/8. Higher-order partial derivatives.vtt 14.6 KB
03. Functions/33. CodeChallenge Infinite functions to sketch, part 2.vtt 14.6 KB
13. Multivariate differentiation/6. Partial derivatives.vtt 14.3 KB
14. Python intro Data types/7. Dictionaries.vtt 14.0 KB
07. Differentiation fundamentals/8. Interpreting derivatives plots.vtt 13.9 KB
11. Applications/8. CodeChallenge linear approximations, part 2.vtt 13.7 KB
07. Differentiation fundamentals/10. Derivatives of polynomials.vtt 13.6 KB
03. Functions/8. Polynomial functions.vtt 13.5 KB
03. Functions/4. Domain and range of a function.vtt 13.4 KB
17. Python intro Flow control/6. Enumerate and zip iterables.vtt 13.4 KB
07. Differentiation fundamentals/15. Critical points Definition and applications.vtt 13.4 KB
05. Limits/20. What the $% is an infinitesimal.vtt 13.3 KB
03. Functions/22. Continuous and discontinuous functions.vtt 12.9 KB
09. Differentiation rules and theorems/10. Implicit differentiation proofs (log, exp, power).vtt 12.8 KB
13. Multivariate differentiation/11. Gradients and gradient fields.vtt 12.8 KB
09. Differentiation rules and theorems/19. Mean value theorem.vtt 12.7 KB
05. Limits/9. CodeChallenge properties of limits, part 2.vtt 12.4 KB
16. Python intro Functions/6. Generating random numbers.vtt 12.3 KB
13. Multivariate differentiation/2. 2D functions.vtt 12.3 KB
09. Differentiation rules and theorems/24. CodeChallenge More differentiation exercises, part 2.vtt 11.4 KB
03. Functions/5. Linear and nonlinear functions.vtt 11.2 KB
03. Functions/16. CodeChallenge Power and log, part 2.vtt 11.1 KB
07. Differentiation fundamentals/14. Derivatives of log and exp.vtt 11.1 KB
09. Differentiation rules and theorems/3. Theorem Differentiability implies continuity.vtt 11.1 KB
07. Differentiation fundamentals/6. Various notations of the derivative.vtt 11.0 KB
13. Multivariate differentiation/9. CodeChallenge Higher-order partial derivatives.vtt 11.0 KB
07. Differentiation fundamentals/2. Slope of a line.vtt 10.6 KB
09. Differentiation rules and theorems/12. CodeChallenge implicit differentiation, part 2.vtt 10.4 KB
03. Functions/26. Composite functions.vtt 10.4 KB
01. Introductions/3. Using the Udemy platform.vtt 10.3 KB
08. Tangent Where does math come from/1. Is math discovered or invented.vtt 10.2 KB
05. Limits/4. Easy limits by plugging in or factoring.vtt 10.1 KB
11. Applications/11. CodeChallenge Newt's roots, part 2.vtt 10.1 KB
14. Python intro Data types/5. Tuples.vtt 10.1 KB
09. Differentiation rules and theorems/16. CodeChallenge Derivatives of derivatives... (part 2).vtt 10.0 KB
03. Functions/21. CodeChallenge piecewise functions, part 2.vtt 9.9 KB
05. Limits/2. Limits in geometry and algebra.vtt 9.6 KB
19. Python intro Text and data visualization/6. Export plots in low and high resolution.vtt 9.5 KB
05. Limits/19. Limited limits possibilities.vtt 9.5 KB
16. Python intro Functions/3. Getting help on functions.vtt 9.3 KB
04. Tangent Levels of understanding/1. What does it mean to understand math.vtt 9.2 KB
16. Python intro Functions/1. Inputs and outputs.vtt 9.0 KB
06. Tangent Accountability in online learning/1. The pros and cons of self-directed learning.vtt 8.4 KB
03. Functions/25. Intermediate value theorem.vtt 8.4 KB
01. Introductions/1. Prerequisites and how to rock this course.vtt 8.1 KB
05. Limits/5. One-sided limits and infinities.vtt 7.8 KB
07. Differentiation fundamentals/13. Derivatives of absolute value and square root.vtt 7.6 KB
09. Differentiation rules and theorems/2. Linearity of differentiation (proof).vtt 7.6 KB
05. Limits/10. Continuity and discontinuities, revisited.vtt 7.4 KB
06. Tangent Accountability in online learning/2. Suggestions for learning accountability.vtt 7.0 KB
03. Functions/2. Terminology in math vs. coding.vtt 6.7 KB
02. Download all course materials/1. IMPORTANT Downloading and using the code.vtt 5.7 KB
03. Functions/1. Section summary and goals.vtt 5.7 KB
09. Differentiation rules and theorems/1. Section summary and goals.vtt 5.5 KB
05. Limits/1. Section summary and goals.vtt 5.3 KB
20. Bonus section/1. Bonus content.html 4.7 KB
07. Differentiation fundamentals/5. Derivative of a constant is 0 (proof).vtt 4.4 KB
03. Functions/19. Piecewise functions.vtt 4.4 KB
12. Tangent The joys and challenges of learning/1. Embrace difficulties.vtt 4.0 KB
05. Limits/14. CodeChallenge Confirm the trig limits.vtt 3.9 KB
13. Multivariate differentiation/1. Section summary and goals.vtt 3.8 KB
13. Multivariate differentiation/14. Gradient descent in 2D.vtt 3.7 KB
10. Tangent Learn from multiple sources/1. Benefits of varied learning sources.vtt 3.5 KB
02. Download all course materials/3. Should you watch the Python tutorial.vtt 3.5 KB
04. Tangent Levels of understanding/2. Timescales of discovering vs. learning math.vtt 3.1 KB
03. Functions/11. Transcendental functions.vtt 2.8 KB
11. Applications/1. Section summary and goals.vtt 2.3 KB
07. Differentiation fundamentals/1. Section summary and goals.vtt 2.2 KB
02. Download all course materials/2. My policy on sharing code.vtt 2.1 KB
14. Python intro Data types/1. Read this before the Python tutorials.html 100 bytes

Udemy - Master calculus 1 using Python derivatives and applications (1.2025)

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