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Master calculus 1 using Python: derivatives and applications [1/2025, ENG]

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Master calculus 1 using Python: derivatives and applications [1/2025, ENG] (Size: 7.86 GB)
  01. Introductions
  1. Prerequisites and how to rock this course.mp4 10.91 MB
  1. Prerequisites and how to rock this course.vtt 8.1 KB
  2. Gradient fields forever (hands-on activity).mp4 17.5 MB
  2. Gradient fields forever (hands-on activity).vtt 15.16 KB
  3. Using the Udemy platform.mp4 54.3 MB
  3. Using the Udemy platform.vtt 10.26 KB
  02. Download all course materials
  1. IMPORTANT Downloading and using the code.mp4 18.54 MB
  1. IMPORTANT Downloading and using the code.vtt 5.73 KB
  2. My policy on sharing code.mp4 3.87 MB
  2. My policy on sharing code.vtt 2.07 KB
  3. Should you watch the Python tutorial.mp4 7.46 MB
  3. Should you watch the Python tutorial.vtt 3.51 KB
  03. Functions
  1. Section summary and goals.mp4 27.07 MB
  1. Section summary and goals.vtt 5.66 KB
  10. CodeChallenge polynomials, part 2.mp4 45.93 MB
  10. CodeChallenge polynomials, part 2.vtt 17.36 KB
  11. Transcendental functions.mp4 6.05 MB
  11. Transcendental functions.vtt 2.83 KB
  12. Exponential and log functions.mp4 44.5 MB
  12. Exponential and log functions.vtt 18.34 KB
  13. CodeChallenge exp and log, part 1.mp4 68.35 MB
  13. CodeChallenge exp and log, part 1.vtt 20.41 KB
  14. CodeChallenge exp and log, part 2.mp4 44.8 MB
  14. CodeChallenge exp and log, part 2.vtt 17.16 KB
  15. CodeChallenge Power and log, part 1.mp4 72.78 MB
  15. CodeChallenge Power and log, part 1.vtt 24.13 KB
  16. CodeChallenge Power and log, part 2.mp4 41.61 MB
  16. CodeChallenge Power and log, part 2.vtt 11.13 KB
  17. Trigonometric functions.mp4 35.61 MB
  17. Trigonometric functions.vtt 20.89 KB
  18. CodeChallenge trigonometry.mp4 90.98 MB
  18. CodeChallenge trigonometry.vtt 22.43 KB
  19. Piecewise functions.mp4 7.4 MB
  19. Piecewise functions.vtt 4.37 KB
  2. Terminology in math vs. coding.mp4 22.07 MB
  2. Terminology in math vs. coding.vtt 6.67 KB
  20. CodeChallenge piecewise functions, part 1.mp4 48.22 MB
  20. CodeChallenge piecewise functions, part 1.vtt 21.04 KB
  21. CodeChallenge piecewise functions, part 2.mp4 23.96 MB
  21. CodeChallenge piecewise functions, part 2.vtt 9.92 KB
  22. Continuous and discontinuous functions.mp4 20.9 MB
  22. Continuous and discontinuous functions.vtt 12.88 KB
  23. CodeChallenge discontinuities, part 1.mp4 55.56 MB
  23. CodeChallenge discontinuities, part 1.vtt 23.96 KB
  24. CodeChallenge discontinuities, part 2.mp4 59.62 MB
  24. CodeChallenge discontinuities, part 2.vtt 18.12 KB
  25. Intermediate value theorem.mp4 12.86 MB
  25. Intermediate value theorem.vtt 8.35 KB
  26. Composite functions.mp4 20.54 MB
  26. Composite functions.vtt 10.36 KB
  27. Inverse functions.mp4 22.18 MB
  27. Inverse functions.vtt 15.32 KB
  28. CodeChallenge Composite and inverse, part 1.mp4 42.41 MB
  28. CodeChallenge Composite and inverse, part 1.vtt 18.43 KB
  29. CodeChallenge Composite and inverse, part 2.mp4 36.89 MB
  29. CodeChallenge Composite and inverse, part 2.vtt 17.57 KB
  3. What is a function.mp4 24.19 MB
  3. What is a function.vtt 15.37 KB
  30. Function symmetry (even and odd).mp4 75.53 MB
  30. Function symmetry (even and odd).vtt 18.79 KB
  31. Sketching functions by hand.mp4 78.66 MB
  31. Sketching functions by hand.vtt 28.97 KB
  32. CodeChallenge Infinite functions to sketch, part 1.mp4 93.13 MB
  32. CodeChallenge Infinite functions to sketch, part 1.vtt 23.46 KB
  33. CodeChallenge Infinite functions to sketch, part 2.mp4 72.56 MB
  33. CodeChallenge Infinite functions to sketch, part 2.vtt 14.56 KB
  4. Domain and range of a function.mp4 20.03 MB
  4. Domain and range of a function.vtt 13.43 KB
  5. Linear and nonlinear functions.mp4 34.98 MB
  5. Linear and nonlinear functions.vtt 11.2 KB
  6. CodeChallenge math in python, part 1.mp4 43.96 MB
  6. CodeChallenge math in python, part 1.vtt 17.35 KB
  7. CodeChallenge math in python, part 2.mp4 56.35 MB
  7. CodeChallenge math in python, part 2.vtt 16.05 KB
  8. Polynomial functions.mp4 41.46 MB
  8. Polynomial functions.vtt 13.53 KB
  9. CodeChallenge polynomials, part 1.mp4 94.63 MB
  9. CodeChallenge polynomials, part 1.vtt 22.57 KB
  04. Tangent Levels of understanding
  1. What does it mean to understand math.mp4 17.2 MB
  1. What does it mean to understand math.vtt 9.15 KB
  2. Timescales of discovering vs. learning math.mp4 4.58 MB
  2. Timescales of discovering vs. learning math.vtt 3.07 KB
  05. Limits
  1. Section summary and goals.mp4 17.86 MB
  1. Section summary and goals.vtt 5.32 KB
  10. Continuity and discontinuities, revisited.mp4 38.08 MB
  10. Continuity and discontinuities, revisited.vtt 7.36 KB
  11. CodeChallenge Limits at discontinuities, part 1.mp4 75.84 MB
  11. CodeChallenge Limits at discontinuities, part 1.vtt 19.45 KB
  12. CodeChallenge Limits at discontinuities, part 2.mp4 72.13 MB
  12. CodeChallenge Limits at discontinuities, part 2.vtt 26.52 KB
  13. Limits of trig functions, part 1.mp4 21.92 MB
  13. Limits of trig functions, part 1.vtt 16.05 KB
  14. CodeChallenge Confirm the trig limits.mp4 7.07 MB
  14. CodeChallenge Confirm the trig limits.vtt 3.93 KB
  15. Squeeze theorem.mp4 26.41 MB
  15. Squeeze theorem.vtt 14.66 KB
  16. Limits of trig functions, part 2.mp4 48.73 MB
  16. Limits of trig functions, part 2.vtt 14.9 KB
  17. CodeChallenge Trig limits in sympy, part 1.mp4 94.27 MB
  17. CodeChallenge Trig limits in sympy, part 1.vtt 22.96 KB
  18. CodeChallenge Trig limits in sympy, part 2.mp4 84.58 MB
  18. CodeChallenge Trig limits in sympy, part 2.vtt 20.98 KB
  19. Limited limits possibilities.mp4 17.6 MB
  19. Limited limits possibilities.vtt 9.49 KB
  2. Limits in geometry and algebra.mp4 20.34 MB
  2. Limits in geometry and algebra.vtt 9.61 KB
  20. What the $% is an infinitesimal.mp4 32.15 MB
  20. What the $% is an infinitesimal.vtt 13.25 KB
  21. Sketching functions by hand, redux.mp4 30.24 MB
  21. Sketching functions by hand, redux.vtt 17.22 KB
  22. CodeChallenge Infinite limits exercises, part 1.mp4 34.7 MB
  22. CodeChallenge Infinite limits exercises, part 1.vtt 16 KB
  23. CodeChallenge Infinite limits exercises, part 2.mp4 62.45 MB
  23. CodeChallenge Infinite limits exercises, part 2.vtt 18.91 KB
  3. CodeChallenge Limits via Zeno's paradox.mp4 49.49 MB
  3. CodeChallenge Limits via Zeno's paradox.vtt 21.72 KB
  4. Easy limits by plugging in or factoring.mp4 13.34 MB
  4. Easy limits by plugging in or factoring.vtt 10.14 KB
  5. One-sided limits and infinities.mp4 12.95 MB
  5. One-sided limits and infinities.vtt 7.83 KB
  6. CodeChallenge limits in numpy & sympy, part 1.mp4 80.11 MB
  6. CodeChallenge limits in numpy & sympy, part 1.vtt 23.18 KB
  7. CodeChallenge limits in numpy & sympy, part 2.mp4 67.12 MB
  7. CodeChallenge limits in numpy & sympy, part 2.vtt 20.42 KB
  8. CodeChallenge properties of limits, part 1.mp4 79.61 MB
  8. CodeChallenge properties of limits, part 1.vtt 16.58 KB
  9. CodeChallenge properties of limits, part 2.mp4 34.52 MB
  9. CodeChallenge properties of limits, part 2.vtt 12.41 KB
  06. Tangent Accountability in online learning
  1. The pros and cons of self-directed learning.mp4 19.54 MB
  1. The pros and cons of self-directed learning.vtt 8.36 KB
  2. Suggestions for learning accountability.mp4 10.23 MB
  2. Suggestions for learning accountability.vtt 7.03 KB
  07. Differentiation fundamentals
  1. Section summary and goals.mp4 9.53 MB
  1. Section summary and goals.vtt 2.16 KB
  10. Derivatives of polynomials.mp4 33.96 MB
  10. Derivatives of polynomials.vtt 13.64 KB
  11. Derivatives of cosine and sine.mp4 32.71 MB
  11. Derivatives of cosine and sine.vtt 21.93 KB
  12. CodeChallenge trig derivatives.mp4 117.43 MB
  12. CodeChallenge trig derivatives.vtt 22.54 KB
  13. Derivatives of absolute value and square root.mp4 11.1 MB
  13. Derivatives of absolute value and square root.vtt 7.63 KB
  14. Derivatives of log and exp.mp4 16.6 MB
  14. Derivatives of log and exp.vtt 11.11 KB
  15. Critical points Definition and applications.mp4 20.34 MB
  15. Critical points Definition and applications.vtt 13.39 KB
  16. Finding critical points.mp4 26.93 MB
  16. Finding critical points.vtt 17.88 KB
  17. CodeChallenge Critical points in Python, part 1.mp4 59.58 MB
  17. CodeChallenge Critical points in Python, part 1.vtt 15.33 KB
  18. CodeChallenge Critical points in Python, part 2.mp4 37.35 MB
  18. CodeChallenge Critical points in Python, part 2.vtt 16.38 KB
  19. CodeChallenge Infinite derivatives exercises.mp4 68.23 MB
  19. CodeChallenge Infinite derivatives exercises.vtt 24.65 KB
  2. Slope of a line.mp4 15.93 MB
  2. Slope of a line.vtt 10.63 KB
  3. CodeChallenge Global and local slopes.mp4 58.17 MB
  3. CodeChallenge Global and local slopes.vtt 21.95 KB
  4. Formal definition of the derivative.mp4 35.56 MB
  4. Formal definition of the derivative.vtt 22.83 KB
  5. Derivative of a constant is 0 (proof).mp4 13.68 MB
  5. Derivative of a constant is 0 (proof).vtt 4.43 KB
  6. Various notations of the derivative.mp4 24.35 MB
  6. Various notations of the derivative.vtt 10.97 KB
  7. CodeChallenge derivatives in sympy.mp4 29.45 MB
  7. CodeChallenge derivatives in sympy.vtt 17.23 KB
  8. Interpreting derivatives plots.mp4 19.53 MB
  8. Interpreting derivatives plots.vtt 13.86 KB
  9. CodeChallenge Linearity of differentiation.mp4 104.63 MB
  9. CodeChallenge Linearity of differentiation.vtt 25.76 KB
  08. Tangent Where does math come from
  1. Is math discovered or invented.mp4 20.36 MB
  1. Is math discovered or invented.vtt 10.17 KB
  09. Differentiation rules and theorems
  1. Section summary and goals.mp4 109.86 MB
  1. Section summary and goals.vtt 5.54 KB
  10. Implicit differentiation proofs (log, exp, power).mp4 17.9 MB
  10. Implicit differentiation proofs (log, exp, power).vtt 12.77 KB
  11. CodeChallenge implicit differentiation, part 1.mp4 50.29 MB
  11. CodeChallenge implicit differentiation, part 1.vtt 22.52 KB
  12. CodeChallenge implicit differentiation, part 2.mp4 19.1 MB
  12. CodeChallenge implicit differentiation, part 2.vtt 10.42 KB
  13. CodeChallenge derivative of c^x and x^x.mp4 64.68 MB
  13. CodeChallenge derivative of c^x and x^x.vtt 29.59 KB
  14. Higher-order derivatives.mp4 46.11 MB
  14. Higher-order derivatives.vtt 17.07 KB
  15. CodeChallenge Derivatives of derivatives... (part 1).mp4 102.71 MB
  15. CodeChallenge Derivatives of derivatives... (part 1).vtt 25.12 KB
  16. CodeChallenge Derivatives of derivatives... (part 2).mp4 22.47 MB
  16. CodeChallenge Derivatives of derivatives... (part 2).vtt 10.04 KB
  17. L'Hospital's Rule for indeterminant limits.mp4 40.69 MB
  17. L'Hospital's Rule for indeterminant limits.vtt 29.16 KB
  18. Rolle's Theorem.mp4 49.81 MB
  18. Rolle's Theorem.vtt 19.45 KB
  19. Mean value theorem.mp4 24.94 MB
  19. Mean value theorem.vtt 12.65 KB
  2. Linearity of differentiation (proof).mp4 10.13 MB
  2. Linearity of differentiation (proof).vtt 7.59 KB
  20. CodeChallenge Implement the MVT algorithm.mp4 106.61 MB
  20. CodeChallenge Implement the MVT algorithm.vtt 28.42 KB
  21. CodeChallenge Use the MVT to explore functions.mp4 72.07 MB
  21. CodeChallenge Use the MVT to explore functions.vtt 15.51 KB
  22. CodeChallenge numerical approximations to MVT.mp4 66.58 MB
  22. CodeChallenge numerical approximations to MVT.vtt 17.33 KB
  23. CodeChallenge More differentiation exercises, part 1.mp4 87.52 MB
  23. CodeChallenge More differentiation exercises, part 1.vtt 21.68 KB
  24. CodeChallenge More differentiation exercises, part 2.mp4 59.46 MB
  24. CodeChallenge More differentiation exercises, part 2.vtt 11.44 KB
  3. Theorem Differentiability implies continuity.mp4 16.47 MB
  3. Theorem Differentiability implies continuity.vtt 11.07 KB
  4. Product rule.mp4 49.41 MB
  4. Product rule.vtt 15.08 KB
  5. Chain rule.mp4 24.99 MB
  5. Chain rule.vtt 16.64 KB
  6. Quotient rule.mp4 52.36 MB
  6. Quotient rule.vtt 17.74 KB
  7. CodeChallenge product and quotient rules.mp4 87.07 MB
  7. CodeChallenge product and quotient rules.vtt 20.16 KB
  8. CodeChallenge chain rule.mp4 43.32 MB
  8. CodeChallenge chain rule.vtt 25.35 KB
  9. Implicit differentiation.mp4 44.65 MB
  9. Implicit differentiation.vtt 31.11 KB
  10. Tangent Learn from multiple sources
  1. Benefits of varied learning sources.mp4 19.02 MB
  1. Benefits of varied learning sources.vtt 3.51 KB
  11. Applications
  1. Section summary and goals.mp4 11.22 MB
  1. Section summary and goals.vtt 2.27 KB
  10. CodeChallenge Newt's roots, part 1.mp4 122.9 MB
  10. CodeChallenge Newt's roots, part 1.vtt 28.48 KB
  11. CodeChallenge Newt's roots, part 2.mp4 39.77 MB
  11. CodeChallenge Newt's roots, part 2.vtt 10.13 KB
  12. Solving simple optimization problems.mp4 29.21 MB
  12. Solving simple optimization problems.vtt 17.58 KB
  13. Optimize for surface area.mp4 66.18 MB
  13. Optimize for surface area.vtt 22 KB
  14. Optimize for volume.mp4 25.91 MB
  14. Optimize for volume.vtt 16.21 KB
  15. CodeChallenge farmers and Qberts.mp4 75.22 MB
  15. CodeChallenge farmers and Qberts.vtt 32.98 KB
  16. Gradient descent.mp4 31.61 MB
  16. Gradient descent.vtt 16.66 KB
  17. CodeChallenge Gradient descent in numpy.mp4 63.83 MB
  17. CodeChallenge Gradient descent in numpy.vtt 27.13 KB
  18. CodeChallenge Gradient descent using sympy.mp4 98.61 MB
  18. CodeChallenge Gradient descent using sympy.vtt 24.74 KB
  2. Racing functions to infinity and beyond!.mp4 54.44 MB
  2. Racing functions to infinity and beyond!.vtt 17.34 KB
  3. The second derivative test.mp4 32.29 MB
  3. The second derivative test.vtt 21.44 KB
  4. Code challenge The second derivative test, part 1.mp4 75.79 MB
  4. Code challenge The second derivative test, part 1.vtt 23.13 KB
  5. Code challenge The second derivative test, part 2.mp4 73.2 MB
  5. Code challenge The second derivative test, part 2.vtt 18.21 KB
  6. Linear approximations.mp4 83.94 MB
  6. Linear approximations.vtt 24.14 KB
  7. CodeChallenge linear approximations, part 1.mp4 81.76 MB
  7. CodeChallenge linear approximations, part 1.vtt 24.85 KB
  8. CodeChallenge linear approximations, part 2.mp4 49.23 MB
  8. CodeChallenge linear approximations, part 2.vtt 13.68 KB
  9. Newton's method for finding roots.mp4 37.89 MB
  9. Newton's method for finding roots.vtt 27.52 KB
  12. Tangent The joys and challenges of learning
  1. Embrace difficulties.mp4 20.85 MB
  1. Embrace difficulties.vtt 4 KB
  13. Multivariate differentiation
  1. Section summary and goals.mp4 8.35 MB
  1. Section summary and goals.vtt 3.81 KB
  10. CodeChallenge Complete partial exercises.mp4 70.16 MB
  10. CodeChallenge Complete partial exercises.vtt 17.48 KB
  11. Gradients and gradient fields.mp4 47.12 MB
  11. Gradients and gradient fields.vtt 12.75 KB
  12. CodeChallenge Gradient fields, part 1.mp4 98.04 MB
  12. CodeChallenge Gradient fields, part 1.vtt 25.6 KB
  13. CodeChallenge Gradient fields, part 2.mp4 110.18 MB
  13. CodeChallenge Gradient fields, part 2.vtt 27.98 KB
  14. Gradient descent in 2D.mp4 6.43 MB
  14. Gradient descent in 2D.vtt 3.74 KB
  15. CodeChallenge 2D gradient descent, part 1.mp4 81.21 MB
  15. CodeChallenge 2D gradient descent, part 1.vtt 16.7 KB
  16. CodeChallenge 2D gradient descent, part 2.mp4 75.93 MB
  16. CodeChallenge 2D gradient descent, part 2.vtt 19.91 KB
  2. 2D functions.mp4 20.29 MB
  2. 2D functions.vtt 12.28 KB
  3. CodeChallenge Fun with 2D functions (numpy), part 1.mp4 100.7 MB
  3. CodeChallenge Fun with 2D functions (numpy), part 1.vtt 25.83 KB
  4. CodeChallenge Fun with 2D functions (numpy), part 2.mp4 101.99 MB
  4. CodeChallenge Fun with 2D functions (numpy), part 2.vtt 23.98 KB
  5. CodeChallenge 2D functions in sympy.mp4 103.16 MB
  5. CodeChallenge 2D functions in sympy.vtt 25.87 KB
  6. Partial derivatives.mp4 23.32 MB
  6. Partial derivatives.vtt 14.33 KB
  7. CodeChallenge Partial derivatives.mp4 68.29 MB
  7. CodeChallenge Partial derivatives.vtt 18.94 KB
  8. Higher-order partial derivatives.mp4 40.82 MB
  8. Higher-order partial derivatives.vtt 14.6 KB
  9. CodeChallenge Higher-order partial derivatives.mp4 38.49 MB
  9. CodeChallenge Higher-order partial derivatives.vtt 10.96 KB
  14. Python intro Data types
  1. Read this before the Python tutorials.html 100 B
  2. Variables.mp4 41.06 MB
  2. Variables.vtt 22.57 KB
  3. Math operators.mp4 35.87 MB
  3. Math operators.vtt 22.18 KB
  4. Lists.mp4 24.41 MB
  4. Lists.vtt 16.33 KB
  5. Tuples.mp4 15.35 MB
  5. Tuples.vtt 10.07 KB
  6. Booleans.mp4 45.75 MB
  6. Booleans.vtt 22.82 KB
  7. Dictionaries.mp4 27.07 MB
  7. Dictionaries.vtt 14.01 KB
  15. Python intro Indexing and slicing
  1. Indexing.mp4 50.98 MB
  1. Indexing.vtt 14.95 KB
  2. Slicing.mp4 28.97 MB
  2. Slicing.vtt 14.89 KB
  16. Python intro Functions
  1. Inputs and outputs.mp4 13.42 MB
  1. Inputs and outputs.vtt 8.98 KB
  2. The numpy library.mp4 33.11 MB
  2. The numpy library.vtt 16.5 KB
  3. Getting help on functions.mp4 34.84 MB
  3. Getting help on functions.vtt 9.29 KB
  4. Creating functions.mp4 47.56 MB
  4. Creating functions.vtt 26.03 KB
  5. Global and local variable scopes.mp4 39.1 MB
  5. Global and local variable scopes.vtt 16.37 KB
  6. Generating random numbers.mp4 62.08 MB
  6. Generating random numbers.vtt 12.29 KB
  17. Python intro Flow control
  1. If-else statements, part 1.mp4 35.71 MB
  1. If-else statements, part 1.vtt 18.41 KB
  2. If-else statements, part 2.mp4 53.15 MB
  2. If-else statements, part 2.vtt 18.88 KB
  3. For loops.mp4 37.32 MB
  3. For loops.vtt 20.94 KB
  4. While loops.mp4 70.75 MB
  4. While loops.vtt 23.17 KB
  5. Initializing variables.mp4 43.6 MB
  5. Initializing variables.vtt 20.11 KB
  6. Enumerate and zip iterables.mp4 25.52 MB
  6. Enumerate and zip iterables.vtt 13.41 KB
  7. Single-line loops (list comprehension).mp4 44.07 MB
  7. Single-line loops (list comprehension).vtt 18.27 KB
  18. Python intro Sympy and latex
  1. Intro to sympy, part 1.mp4 24.33 MB
  1. Intro to sympy, part 1.vtt 14.9 KB
  2. Intro to LaTex.mp4 67.99 MB
  2. Intro to LaTex.vtt 22.4 KB
  3. Intro to sympy, part 2.mp4 73.98 MB
  3. Intro to sympy, part 2.vtt 21.85 KB
  19. Python intro Text and data visualization
  1. String interpolation and f-strings.mp4 51.67 MB
  1. String interpolation and f-strings.vtt 19.01 KB
  2. Plotting dots and lines.mp4 24.42 MB
  2. Plotting dots and lines.vtt 14.68 KB
  3. Subplot geometry.mp4 41.36 MB
  3. Subplot geometry.vtt 18.74 KB
  4. Making the graphs look nicer.mp4 59.02 MB
  4. Making the graphs look nicer.vtt 22.67 KB
  5. Images.mp4 71.01 MB
  5. Images.vtt 20.93 KB
  6. Export plots in low and high resolution.mp4 37.39 MB
  6. Export plots in low and high resolution.vtt 9.51 KB
  20. Bonus section
  1. Bonus content.html 4.68 KB
  ▲ 354 total files

Description


Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)

Master calculus 1 using Python: derivatives and applications

Год выпуска: 1/2025
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/pycalc1_x/
Автор: Mike X Cohen
Продолжительность: 41h 23m 24s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:
[spoiler="What you'll learn"]
Differential calculus
Mathematical functions (rational, polynomial, transcendantal, trig)
Limits and tricks for solving limits problems
Differentiation rules
Tips and tricks for differentiation
Proofs
Python (numpy and sympy)
Numerical processing
Applied calculus
Visualizing math functions (matplotlib)
[/spoiler]
Requirements Basic high-school math
No programming experience needed
No prior experience with calculus needed! Description

The beauty and importance of calculus

Calculus is a beautiful topic in mathematics. No, really!

At its heart, calculus is about change. Life is full of change, and calculus is the language that humans developed (invented or discovered -- that's an ongoing debate!) to understand how physical, biological, and abstract systems change. Calculus is more than just some equations you have to memorize; it's a way of looking at the world and trying to understand how the tiniest infinitesimal changes can lead to gigantic complexity bigger than the imagination.

OK, but aside from all that fluff, calculus is also really important for basically every piece of engineering and digital technology that has touched humanity. Indeed, the history of calculus is the history of civilization. You want to learn data science? => You need calculus.
You want to learn machine-learning? => You need calculus.
You want to learn deep learning? => You need calculus.
You want to learn computational science? => You need calculus.
You want to learn... I think you see the pattern here
[spoiler="Why learn calculus?"]
There are three reasons to learn calculus. It has applications for understanding data science and machine-learning algorithms, but it's also a beautiful topic in its own right.
Learning math will train your critical thinking and reasoning skills. Any branch of mathematics will train your brain, but calculus especially so, because doing calculus is a lot of like running scientific experiments -- generate hypotheses, test them in experiments by holding variables constant, and measuring the output.
It's a better hobby than sitting around watching netflix. Seriously. Learning math will help protect you from age-related cognitive decline. Challenge your mind to keep it sharp!
[/spoiler]
Learn calculus the traditional way or the modern way?

So, how do you learn calculus? You can learn it the way most people do -- by watching someone else scratch on a chalkboard while you furiously take notes and try to decipher their sloppy handwriting, all the while having a little voice in your head telling you that you don't get it because you're not smart enough.

Or you can try a different approach.

I follow the maxim "you can learn a lot of math with a bit of coding." In this course, you will use Python (mostly the numpy and sympy libraries) as a novel tool to help you learn concepts, proofs, visualizations, and algorithms in calculus.

There are three reasons to use Python to learn calculus: Practical applications: Calculus is essential for understanding data science, machine learning, deep learning, computational science, and many other fields.
Mental exercise: Learning calculus, particularly in combination with Python, will train your critical thinking and reasoning skills.
Lifelong benefits: Engaging your mind with calculus can help protect against age-related cognitive decline and offer a fulfilling alternative to passive leisure activities. So this is just about coding math?

No, this course is not about coding math. And it's not about using Python to cheat on your math homework. Python's symbolic math and plotting engines are incredibly powerful -- and yet underutilized -- tools to help you learn math. By translating formulas into code, implementing algorithms, and solving challenging coding exercises, you will gain a deep knowledge of concepts in calculus.

And the graphics engine in Python will let you see equations and functions in a way that helps you develop intuition for why functions behave the way they do.

You will also learn the limits of computers for learning calculus, and why you still need to use your brain and freshly developed calculus skills.

New to Python?

Python is a versatile and user-friendly programming language that complements calculus, especially when using libraries like NumPy and SymPy. By incorporating Python into your calculus studies, you can gain a deeper understanding of mathematical concepts, proofs, visualizations, and algorithms.

If you are new to Python, then don't worry! This course comes with a 7+ hour Python coding tutorial (potentially up to 12 hours if you complete all the exercises) that is designed for beginners and will teach you the coding skills you'll need for this course.
[spoiler="Are there exercises?"]
Everyone knows that you need to solve math problems to learn math. This course has exercises for you to solve in nearly every video -- and I explain the answers to every single exercise (not only the odd-numbered ones, lol).

But wait, there's more! I don't just give you problems to work on; I will teach you how to create your own exercises (and solutions) so you can custom-tailor your own homework assignments to practice exactly the skills you most need to work on. Because you know, "give someone a fish" versus "teach someone to fish."
[/spoiler]
Is this the right course for you?

One thing I've learned from 20+ years of teaching is that no two learners are the same, which means that no course will be right for everyone. I hope you find this course a valuable learning resource -- and fun to work through! -- but the reality is that this course won't be ideal for everyone. Please watch the preview videos and check out the reviews before enrolling.

And if you enroll but then decide that this course isn't a good match for you, then that's fine! Check out Udemy's 30-day return guarantee.
[spoiler="Who this course is for:"]
Calculus students looking for better educational material
Mathematicians who want to implement math in code
Coders who want to use Python to learn math
Data scientists (current or aspiring)
Machine-learning and A.I. enthusiasts
Anyone curious about the amazing beauty of calculus on computers!
Anyone looking for an intellectually stimulating hobby
[/spoiler]
Here is the link to the second part of this course: [Udemy, Mike X Cohen] Master calculus 2 using Python: integration, intuition, code [4/2025, ENG]

Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30.000 к/с, 448 кб/с
Аудио: aac lc sbr, 44.1 кгц, 62.8 кб/с, 2 аудио
[spoiler="Изменения/Changes"]
Version 2025/1 has increased by 2 minutes compared to 2022/11.
[/spoiler]
[spoiler="MediaInfo"]
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Title : English
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Alternate group : 1
[/spoiler]
[spoiler="Скриншоты"]

[/spoiler]

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