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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：9fc899f2889267a83185cbaf5e995f6b49d4b79f
文件大小： 7.86G
已经下载：111次
下载速度：极快
收录时间：2025-07-30
最近下载：2025-10-11

地址随时变，回家记住路

小野猫.com黑猫警长.com哆啦a猫.com御猫.com科目三.com猫哭老鼠.com女猫.com☜☜☜找最新地址请保存左面网址

磁力链接

magnet:?xt=urn:btih:9FC899F2889267A83185CBAF5E995F6B49D4B79F
推荐使用PIKPAK网盘下载资源，PIKPAK是目前最好用网盘，10T超大空间，不和谐任何资源，支持无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 在线观看 世界之窗 含羞草 极乐禁地 91视频 51品茶 逼哩逼哩 萝莉岛 欲漫涩 91短视频 成人快手 抖阴破解版 ai色色 pilipili 草榴社区 哆哔涩漫 好色先生 疯马秀 TikTok成人版 悠悠禁区 波多 听泉鉴鲍 xvideo 外网天堂 PornHub 抖音Max 呦乐园 拔萝卜 糖心视频 麻豆Vlog 暗网Xvideo

资源截图

API Integration

最近搜索

文件列表

  • 11. Applications/10. CodeChallenge Newt's roots, part 1.mp4 128.9 MB
  • 07. Differentiation fundamentals/12. CodeChallenge trig derivatives.mp4 123.1 MB
  • 13. Multivariate differentiation/13. CodeChallenge Gradient fields, part 2.mp4 115.5 MB
  • 09. Differentiation rules and theorems/1. Section summary and goals.mp4 115.2 MB
  • 09. Differentiation rules and theorems/20. CodeChallenge Implement the MVT algorithm.mp4 111.8 MB
  • 07. Differentiation fundamentals/9. CodeChallenge Linearity of differentiation.mp4 109.7 MB
  • 13. Multivariate differentiation/5. CodeChallenge 2D functions in sympy.mp4 108.2 MB
  • 09. Differentiation rules and theorems/15. CodeChallenge Derivatives of derivatives... (part 1).mp4 107.7 MB
  • 13. Multivariate differentiation/4. CodeChallenge Fun with 2D functions (numpy), part 2.mp4 106.9 MB
  • 13. Multivariate differentiation/3. CodeChallenge Fun with 2D functions (numpy), part 1.mp4 105.6 MB
  • 11. Applications/18. CodeChallenge Gradient descent using sympy.mp4 103.4 MB
  • 13. Multivariate differentiation/12. CodeChallenge Gradient fields, part 1.mp4 102.8 MB
  • 03. Functions/9. CodeChallenge polynomials, part 1.mp4 99.2 MB
  • 05. Limits/17. CodeChallenge Trig limits in sympy, part 1.mp4 98.8 MB
  • 03. Functions/32. CodeChallenge Infinite functions to sketch, part 1.mp4 97.7 MB
  • 03. Functions/18. CodeChallenge trigonometry.mp4 95.4 MB
  • 09. Differentiation rules and theorems/23. CodeChallenge More differentiation exercises, part 1.mp4 91.8 MB
  • 09. Differentiation rules and theorems/7. CodeChallenge product and quotient rules.mp4 91.3 MB
  • 05. Limits/18. CodeChallenge Trig limits in sympy, part 2.mp4 88.7 MB
  • 11. Applications/6. Linear approximations.mp4 88.0 MB
  • 11. Applications/7. CodeChallenge linear approximations, part 1.mp4 85.7 MB
  • 13. Multivariate differentiation/15. CodeChallenge 2D gradient descent, part 1.mp4 85.2 MB
  • 05. Limits/6. CodeChallenge limits in numpy & sympy, part 1.mp4 84.0 MB
  • 05. Limits/8. CodeChallenge properties of limits, part 1.mp4 83.5 MB
  • 03. Functions/31. Sketching functions by hand.mp4 82.5 MB
  • 13. Multivariate differentiation/16. CodeChallenge 2D gradient descent, part 2.mp4 79.6 MB
  • 05. Limits/11. CodeChallenge Limits at discontinuities, part 1.mp4 79.5 MB
  • 11. Applications/4. Code challenge The second derivative test, part 1.mp4 79.5 MB
  • 03. Functions/30. Function symmetry (even and odd).mp4 79.2 MB
  • 11. Applications/15. CodeChallenge farmers and Qberts.mp4 78.9 MB
  • 18. Python intro Sympy and latex/3. Intro to sympy, part 2.mp4 77.6 MB
  • 11. Applications/5. Code challenge The second derivative test, part 2.mp4 76.8 MB
  • 03. Functions/15. CodeChallenge Power and log, part 1.mp4 76.3 MB
  • 03. Functions/33. CodeChallenge Infinite functions to sketch, part 2.mp4 76.1 MB
  • 05. Limits/12. CodeChallenge Limits at discontinuities, part 2.mp4 75.6 MB
  • 09. Differentiation rules and theorems/21. CodeChallenge Use the MVT to explore functions.mp4 75.6 MB
  • 19. Python intro Text and data visualization/5. Images.mp4 74.5 MB
  • 17. Python intro Flow control/4. While loops.mp4 74.2 MB
  • 13. Multivariate differentiation/10. CodeChallenge Complete partial exercises.mp4 73.6 MB
  • 03. Functions/13. CodeChallenge exp and log, part 1.mp4 71.7 MB
  • 13. Multivariate differentiation/7. CodeChallenge Partial derivatives.mp4 71.6 MB
  • 07. Differentiation fundamentals/19. CodeChallenge Infinite derivatives exercises.mp4 71.5 MB
  • 18. Python intro Sympy and latex/2. Intro to LaTex.mp4 71.3 MB
  • 05. Limits/7. CodeChallenge limits in numpy & sympy, part 2.mp4 70.4 MB
  • 09. Differentiation rules and theorems/22. CodeChallenge numerical approximations to MVT.mp4 69.8 MB
  • 11. Applications/13. Optimize for surface area.mp4 69.4 MB
  • 09. Differentiation rules and theorems/13. CodeChallenge derivative of c^x and x^x.mp4 67.8 MB
  • 11. Applications/17. CodeChallenge Gradient descent in numpy.mp4 66.9 MB
  • 05. Limits/23. CodeChallenge Infinite limits exercises, part 2.mp4 65.5 MB
  • 16. Python intro Functions/6. Generating random numbers.mp4 65.1 MB
  • 03. Functions/24. CodeChallenge discontinuities, part 2.mp4 62.5 MB
  • 07. Differentiation fundamentals/17. CodeChallenge Critical points in Python, part 1.mp4 62.5 MB
  • 09. Differentiation rules and theorems/24. CodeChallenge More differentiation exercises, part 2.mp4 62.3 MB
  • 19. Python intro Text and data visualization/4. Making the graphs look nicer.mp4 61.9 MB
  • 07. Differentiation fundamentals/3. CodeChallenge Global and local slopes.mp4 61.0 MB
  • 03. Functions/7. CodeChallenge math in python, part 2.mp4 59.1 MB
  • 03. Functions/23. CodeChallenge discontinuities, part 1.mp4 58.3 MB
  • 11. Applications/2. Racing functions to infinity and beyond!.mp4 57.1 MB
  • 01. Introductions/3. Using the Udemy platform.mp4 56.9 MB
  • 17. Python intro Flow control/2. If-else statements, part 2.mp4 55.7 MB
  • 09. Differentiation rules and theorems/6. Quotient rule.mp4 54.9 MB
  • 19. Python intro Text and data visualization/1. String interpolation and f-strings.mp4 54.2 MB
  • 15. Python intro Indexing and slicing/1. Indexing.mp4 53.5 MB
  • 09. Differentiation rules and theorems/11. CodeChallenge implicit differentiation, part 1.mp4 52.7 MB
  • 09. Differentiation rules and theorems/18. Rolle's Theorem.mp4 52.2 MB
  • 05. Limits/3. CodeChallenge Limits via Zeno's paradox.mp4 51.9 MB
  • 09. Differentiation rules and theorems/4. Product rule.mp4 51.8 MB
  • 11. Applications/8. CodeChallenge linear approximations, part 2.mp4 51.6 MB
  • 05. Limits/16. Limits of trig functions, part 2.mp4 51.1 MB
  • 03. Functions/20. CodeChallenge piecewise functions, part 1.mp4 50.6 MB
  • 16. Python intro Functions/4. Creating functions.mp4 49.9 MB
  • 13. Multivariate differentiation/11. Gradients and gradient fields.mp4 49.4 MB
  • 09. Differentiation rules and theorems/14. Higher-order derivatives.mp4 48.4 MB
  • 03. Functions/10. CodeChallenge polynomials, part 2.mp4 48.2 MB
  • 14. Python intro Data types/6. Booleans.mp4 48.0 MB
  • 03. Functions/14. CodeChallenge exp and log, part 2.mp4 47.0 MB
  • 09. Differentiation rules and theorems/9. Implicit differentiation.mp4 46.8 MB
  • 03. Functions/12. Exponential and log functions.mp4 46.7 MB
  • 17. Python intro Flow control/7. Single-line loops (list comprehension).mp4 46.2 MB
  • 03. Functions/6. CodeChallenge math in python, part 1.mp4 46.1 MB
  • 17. Python intro Flow control/5. Initializing variables.mp4 45.7 MB
  • 09. Differentiation rules and theorems/8. CodeChallenge chain rule.mp4 45.4 MB
  • 03. Functions/28. CodeChallenge Composite and inverse, part 1.mp4 44.5 MB
  • 03. Functions/16. CodeChallenge Power and log, part 2.mp4 43.6 MB
  • 03. Functions/8. Polynomial functions.mp4 43.5 MB
  • 19. Python intro Text and data visualization/3. Subplot geometry.mp4 43.4 MB
  • 14. Python intro Data types/2. Variables.mp4 43.1 MB
  • 13. Multivariate differentiation/8. Higher-order partial derivatives.mp4 42.8 MB
  • 09. Differentiation rules and theorems/17. L'Hospital's Rule for indeterminant limits.mp4 42.7 MB
  • 11. Applications/11. CodeChallenge Newt's roots, part 2.mp4 41.7 MB
  • 16. Python intro Functions/5. Global and local variable scopes.mp4 41.0 MB
  • 13. Multivariate differentiation/9. CodeChallenge Higher-order partial derivatives.mp4 40.4 MB
  • 05. Limits/10. Continuity and discontinuities, revisited.mp4 39.9 MB
  • 11. Applications/9. Newton's method for finding roots.mp4 39.7 MB
  • 19. Python intro Text and data visualization/6. Export plots in low and high resolution.mp4 39.2 MB
  • 07. Differentiation fundamentals/18. CodeChallenge Critical points in Python, part 2.mp4 39.2 MB
  • 17. Python intro Flow control/3. For loops.mp4 39.1 MB
  • 03. Functions/29. CodeChallenge Composite and inverse, part 2.mp4 38.7 MB
  • 14. Python intro Data types/3. Math operators.mp4 37.6 MB
  • 17. Python intro Flow control/1. If-else statements, part 1.mp4 37.4 MB
  • 03. Functions/17. Trigonometric functions.mp4 37.3 MB
  • 07. Differentiation fundamentals/4. Formal definition of the derivative.mp4 37.3 MB
  • 03. Functions/5. Linear and nonlinear functions.mp4 36.7 MB
  • 16. Python intro Functions/3. Getting help on functions.mp4 36.5 MB
  • 05. Limits/22. CodeChallenge Infinite limits exercises, part 1.mp4 36.4 MB
  • 05. Limits/9. CodeChallenge properties of limits, part 2.mp4 36.2 MB
  • 07. Differentiation fundamentals/10. Derivatives of polynomials.mp4 35.6 MB
  • 16. Python intro Functions/2. The numpy library.mp4 34.7 MB
  • 07. Differentiation fundamentals/11. Derivatives of cosine and sine.mp4 34.3 MB
  • 11. Applications/3. The second derivative test.mp4 33.9 MB
  • 05. Limits/20. What the $% is an infinitesimal.mp4 33.7 MB
  • 11. Applications/16. Gradient descent.mp4 33.1 MB
  • 05. Limits/21. Sketching functions by hand, redux.mp4 31.7 MB
  • 07. Differentiation fundamentals/7. CodeChallenge derivatives in sympy.mp4 30.9 MB
  • 11. Applications/12. Solving simple optimization problems.mp4 30.6 MB
  • 15. Python intro Indexing and slicing/2. Slicing.mp4 30.4 MB
  • 03. Functions/1. Section summary and goals.mp4 28.4 MB
  • 14. Python intro Data types/7. Dictionaries.mp4 28.4 MB
  • 07. Differentiation fundamentals/16. Finding critical points.mp4 28.2 MB
  • 05. Limits/15. Squeeze theorem.mp4 27.7 MB
  • 11. Applications/14. Optimize for volume.mp4 27.2 MB
  • 17. Python intro Flow control/6. Enumerate and zip iterables.mp4 26.8 MB
  • 09. Differentiation rules and theorems/5. Chain rule.mp4 26.2 MB
  • 09. Differentiation rules and theorems/19. Mean value theorem.mp4 26.2 MB
  • 19. Python intro Text and data visualization/2. Plotting dots and lines.mp4 25.6 MB
  • 14. Python intro Data types/4. Lists.mp4 25.6 MB
  • 07. Differentiation fundamentals/6. Various notations of the derivative.mp4 25.5 MB
  • 18. Python intro Sympy and latex/1. Intro to sympy, part 1.mp4 25.5 MB
  • 03. Functions/3. What is a function.mp4 25.4 MB
  • 03. Functions/21. CodeChallenge piecewise functions, part 2.mp4 25.1 MB
  • 13. Multivariate differentiation/6. Partial derivatives.mp4 24.4 MB
  • 09. Differentiation rules and theorems/16. CodeChallenge Derivatives of derivatives... (part 2).mp4 23.6 MB
  • 03. Functions/27. Inverse functions.mp4 23.3 MB
  • 03. Functions/2. Terminology in math vs. coding.mp4 23.1 MB
  • 05. Limits/13. Limits of trig functions, part 1.mp4 23.0 MB
  • 03. Functions/22. Continuous and discontinuous functions.mp4 21.9 MB
  • 12. Tangent The joys and challenges of learning/1. Embrace difficulties.mp4 21.9 MB
  • 03. Functions/26. Composite functions.mp4 21.5 MB
  • 08. Tangent Where does math come from/1. Is math discovered or invented.mp4 21.4 MB
  • 07. Differentiation fundamentals/15. Critical points Definition and applications.mp4 21.3 MB
  • 05. Limits/2. Limits in geometry and algebra.mp4 21.3 MB
  • 13. Multivariate differentiation/2. 2D functions.mp4 21.3 MB
  • 03. Functions/4. Domain and range of a function.mp4 21.0 MB
  • 06. Tangent Accountability in online learning/1. The pros and cons of self-directed learning.mp4 20.5 MB
  • 07. Differentiation fundamentals/8. Interpreting derivatives plots.mp4 20.5 MB
  • 09. Differentiation rules and theorems/12. CodeChallenge implicit differentiation, part 2.mp4 20.0 MB
  • 10. Tangent Learn from multiple sources/1. Benefits of varied learning sources.mp4 19.9 MB
  • 02. Download all course materials/1. IMPORTANT Downloading and using the code.mp4 19.4 MB
  • 09. Differentiation rules and theorems/10. Implicit differentiation proofs (log, exp, power).mp4 18.8 MB
  • 05. Limits/1. Section summary and goals.mp4 18.7 MB
  • 05. Limits/19. Limited limits possibilities.mp4 18.5 MB
  • 01. Introductions/2. Gradient fields forever (hands-on activity).mp4 18.3 MB
  • 04. Tangent Levels of understanding/1. What does it mean to understand math.mp4 18.0 MB
  • 07. Differentiation fundamentals/14. Derivatives of log and exp.mp4 17.4 MB
  • 09. Differentiation rules and theorems/3. Theorem Differentiability implies continuity.mp4 17.3 MB
  • 07. Differentiation fundamentals/2. Slope of a line.mp4 16.7 MB
  • 14. Python intro Data types/5. Tuples.mp4 16.1 MB
  • 07. Differentiation fundamentals/5. Derivative of a constant is 0 (proof).mp4 14.3 MB
  • 16. Python intro Functions/1. Inputs and outputs.mp4 14.1 MB
  • 05. Limits/4. Easy limits by plugging in or factoring.mp4 14.0 MB
  • 05. Limits/5. One-sided limits and infinities.mp4 13.6 MB
  • 03. Functions/25. Intermediate value theorem.mp4 13.5 MB
  • 11. Applications/1. Section summary and goals.mp4 11.8 MB
  • 07. Differentiation fundamentals/13. Derivatives of absolute value and square root.mp4 11.6 MB
  • 01. Introductions/1. Prerequisites and how to rock this course.mp4 11.4 MB
  • 06. Tangent Accountability in online learning/2. Suggestions for learning accountability.mp4 10.7 MB
  • 09. Differentiation rules and theorems/2. Linearity of differentiation (proof).mp4 10.6 MB
  • 07. Differentiation fundamentals/1. Section summary and goals.mp4 10.0 MB
  • 13. Multivariate differentiation/1. Section summary and goals.mp4 8.8 MB
  • 02. Download all course materials/3. Should you watch the Python tutorial.mp4 7.8 MB
  • 03. Functions/19. Piecewise functions.mp4 7.8 MB
  • 05. Limits/14. CodeChallenge Confirm the trig limits.mp4 7.4 MB
  • 13. Multivariate differentiation/14. Gradient descent in 2D.mp4 6.7 MB
  • 03. Functions/11. Transcendental functions.mp4 6.3 MB
  • 04. Tangent Levels of understanding/2. Timescales of discovering vs. learning math.mp4 4.8 MB
  • 02. Download all course materials/2. My policy on sharing code.mp4 4.1 MB
  • 11. Applications/15. CodeChallenge farmers and Qberts.vtt 33.8 kB
  • 09. Differentiation rules and theorems/9. Implicit differentiation.vtt 31.9 kB
  • 09. Differentiation rules and theorems/13. CodeChallenge derivative of c^x and x^x.vtt 30.3 kB
  • 09. Differentiation rules and theorems/17. L'Hospital's Rule for indeterminant limits.vtt 29.9 kB
  • 03. Functions/31. Sketching functions by hand.vtt 29.7 kB
  • 11. Applications/10. CodeChallenge Newt's roots, part 1.vtt 29.2 kB
  • 09. Differentiation rules and theorems/20. CodeChallenge Implement the MVT algorithm.vtt 29.1 kB
  • 13. Multivariate differentiation/13. CodeChallenge Gradient fields, part 2.vtt 28.7 kB
  • 11. Applications/9. Newton's method for finding roots.vtt 28.2 kB
  • 11. Applications/17. CodeChallenge Gradient descent in numpy.vtt 27.8 kB
  • 05. Limits/12. CodeChallenge Limits at discontinuities, part 2.vtt 27.2 kB
  • 16. Python intro Functions/4. Creating functions.vtt 26.7 kB
  • 13. Multivariate differentiation/5. CodeChallenge 2D functions in sympy.vtt 26.5 kB
  • 13. Multivariate differentiation/3. CodeChallenge Fun with 2D functions (numpy), part 1.vtt 26.5 kB
  • 07. Differentiation fundamentals/9. CodeChallenge Linearity of differentiation.vtt 26.4 kB
  • 13. Multivariate differentiation/12. CodeChallenge Gradient fields, part 1.vtt 26.2 kB
  • 09. Differentiation rules and theorems/8. CodeChallenge chain rule.vtt 26.0 kB
  • 09. Differentiation rules and theorems/15. CodeChallenge Derivatives of derivatives... (part 1).vtt 25.7 kB
  • 11. Applications/7. CodeChallenge linear approximations, part 1.vtt 25.4 kB
  • 11. Applications/18. CodeChallenge Gradient descent using sympy.vtt 25.3 kB
  • 07. Differentiation fundamentals/19. CodeChallenge Infinite derivatives exercises.vtt 25.2 kB
  • 11. Applications/6. Linear approximations.vtt 24.7 kB
  • 03. Functions/15. CodeChallenge Power and log, part 1.vtt 24.7 kB
  • 13. Multivariate differentiation/4. CodeChallenge Fun with 2D functions (numpy), part 2.vtt 24.6 kB
  • 03. Functions/23. CodeChallenge discontinuities, part 1.vtt 24.5 kB
  • 03. Functions/32. CodeChallenge Infinite functions to sketch, part 1.vtt 24.0 kB
  • 05. Limits/6. CodeChallenge limits in numpy & sympy, part 1.vtt 23.7 kB
  • 17. Python intro Flow control/4. While loops.vtt 23.7 kB
  • 11. Applications/4. Code challenge The second derivative test, part 1.vtt 23.7 kB
  • 05. Limits/17. CodeChallenge Trig limits in sympy, part 1.vtt 23.5 kB
  • 07. Differentiation fundamentals/4. Formal definition of the derivative.vtt 23.4 kB
  • 14. Python intro Data types/6. Booleans.vtt 23.4 kB
  • 19. Python intro Text and data visualization/4. Making the graphs look nicer.vtt 23.2 kB
  • 14. Python intro Data types/2. Variables.vtt 23.1 kB
  • 03. Functions/9. CodeChallenge polynomials, part 1.vtt 23.1 kB
  • 07. Differentiation fundamentals/12. CodeChallenge trig derivatives.vtt 23.1 kB
  • 09. Differentiation rules and theorems/11. CodeChallenge implicit differentiation, part 1.vtt 23.1 kB
  • 03. Functions/18. CodeChallenge trigonometry.vtt 23.0 kB
  • 18. Python intro Sympy and latex/2. Intro to LaTex.vtt 22.9 kB
  • 14. Python intro Data types/3. Math operators.vtt 22.7 kB
  • 11. Applications/13. Optimize for surface area.vtt 22.5 kB
  • 07. Differentiation fundamentals/3. CodeChallenge Global and local slopes.vtt 22.5 kB
  • 07. Differentiation fundamentals/11. Derivatives of cosine and sine.vtt 22.5 kB
  • 18. Python intro Sympy and latex/3. Intro to sympy, part 2.vtt 22.4 kB
  • 05. Limits/3. CodeChallenge Limits via Zeno's paradox.vtt 22.2 kB
  • 09. Differentiation rules and theorems/23. CodeChallenge More differentiation exercises, part 1.vtt 22.2 kB
  • 11. Applications/3. The second derivative test.vtt 22.0 kB
  • 03. Functions/20. CodeChallenge piecewise functions, part 1.vtt 21.5 kB
  • 05. Limits/18. CodeChallenge Trig limits in sympy, part 2.vtt 21.5 kB
  • 17. Python intro Flow control/3. For loops.vtt 21.4 kB
  • 19. Python intro Text and data visualization/5. Images.vtt 21.4 kB
  • 03. Functions/17. Trigonometric functions.vtt 21.4 kB
  • 05. Limits/7. CodeChallenge limits in numpy & sympy, part 2.vtt 20.9 kB
  • 03. Functions/13. CodeChallenge exp and log, part 1.vtt 20.9 kB
  • 09. Differentiation rules and theorems/7. CodeChallenge product and quotient rules.vtt 20.6 kB
  • 17. Python intro Flow control/5. Initializing variables.vtt 20.6 kB
  • 13. Multivariate differentiation/16. CodeChallenge 2D gradient descent, part 2.vtt 20.4 kB
  • 05. Limits/11. CodeChallenge Limits at discontinuities, part 1.vtt 19.9 kB
  • 09. Differentiation rules and theorems/18. Rolle's Theorem.vtt 19.9 kB
  • 19. Python intro Text and data visualization/1. String interpolation and f-strings.vtt 19.5 kB
  • 13. Multivariate differentiation/7. CodeChallenge Partial derivatives.vtt 19.4 kB
  • 05. Limits/23. CodeChallenge Infinite limits exercises, part 2.vtt 19.4 kB
  • 17. Python intro Flow control/2. If-else statements, part 2.vtt 19.3 kB
  • 03. Functions/30. Function symmetry (even and odd).vtt 19.2 kB
  • 19. Python intro Text and data visualization/3. Subplot geometry.vtt 19.2 kB
  • 03. Functions/28. CodeChallenge Composite and inverse, part 1.vtt 18.9 kB
  • 17. Python intro Flow control/1. If-else statements, part 1.vtt 18.9 kB
  • 03. Functions/12. Exponential and log functions.vtt 18.8 kB
  • 17. Python intro Flow control/7. Single-line loops (list comprehension).vtt 18.7 kB
  • 11. Applications/5. Code challenge The second derivative test, part 2.vtt 18.6 kB
  • 03. Functions/24. CodeChallenge discontinuities, part 2.vtt 18.6 kB
  • 07. Differentiation fundamentals/16. Finding critical points.vtt 18.3 kB
  • 09. Differentiation rules and theorems/6. Quotient rule.vtt 18.2 kB
  • 11. Applications/12. Solving simple optimization problems.vtt 18.0 kB
  • 03. Functions/29. CodeChallenge Composite and inverse, part 2.vtt 18.0 kB
  • 13. Multivariate differentiation/10. CodeChallenge Complete partial exercises.vtt 17.9 kB
  • 03. Functions/10. CodeChallenge polynomials, part 2.vtt 17.8 kB
  • 03. Functions/6. CodeChallenge math in python, part 1.vtt 17.8 kB
  • 11. Applications/2. Racing functions to infinity and beyond!.vtt 17.8 kB
  • 09. Differentiation rules and theorems/22. CodeChallenge numerical approximations to MVT.vtt 17.7 kB
  • 07. Differentiation fundamentals/7. CodeChallenge derivatives in sympy.vtt 17.6 kB
  • 05. Limits/21. Sketching functions by hand, redux.vtt 17.6 kB
  • 03. Functions/14. CodeChallenge exp and log, part 2.vtt 17.6 kB
  • 09. Differentiation rules and theorems/14. Higher-order derivatives.vtt 17.5 kB
  • 13. Multivariate differentiation/15. CodeChallenge 2D gradient descent, part 1.vtt 17.1 kB
  • 11. Applications/16. Gradient descent.vtt 17.1 kB
  • 09. Differentiation rules and theorems/5. Chain rule.vtt 17.0 kB
  • 05. Limits/8. CodeChallenge properties of limits, part 1.vtt 17.0 kB
  • 16. Python intro Functions/2. The numpy library.vtt 16.9 kB
  • 07. Differentiation fundamentals/18. CodeChallenge Critical points in Python, part 2.vtt 16.8 kB
  • 16. Python intro Functions/5. Global and local variable scopes.vtt 16.8 kB
  • 14. Python intro Data types/4. Lists.vtt 16.7 kB
  • 11. Applications/14. Optimize for volume.vtt 16.6 kB
  • 05. Limits/13. Limits of trig functions, part 1.vtt 16.4 kB
  • 03. Functions/7. CodeChallenge math in python, part 2.vtt 16.4 kB
  • 05. Limits/22. CodeChallenge Infinite limits exercises, part 1.vtt 16.4 kB
  • 09. Differentiation rules and theorems/21. CodeChallenge Use the MVT to explore functions.vtt 15.9 kB
  • 03. Functions/3. What is a function.vtt 15.7 kB
  • 07. Differentiation fundamentals/17. CodeChallenge Critical points in Python, part 1.vtt 15.7 kB
  • 03. Functions/27. Inverse functions.vtt 15.7 kB
  • 01. Introductions/2. Gradient fields forever (hands-on activity).vtt 15.5 kB
  • 09. Differentiation rules and theorems/4. Product rule.vtt 15.4 kB
  • 15. Python intro Indexing and slicing/1. Indexing.vtt 15.3 kB
  • 05. Limits/16. Limits of trig functions, part 2.vtt 15.3 kB
  • 18. Python intro Sympy and latex/1. Intro to sympy, part 1.vtt 15.3 kB
  • 15. Python intro Indexing and slicing/2. Slicing.vtt 15.3 kB
  • 19. Python intro Text and data visualization/2. Plotting dots and lines.vtt 15.0 kB
  • 05. Limits/15. Squeeze theorem.vtt 15.0 kB
  • 13. Multivariate differentiation/8. Higher-order partial derivatives.vtt 15.0 kB
  • 03. Functions/33. CodeChallenge Infinite functions to sketch, part 2.vtt 14.9 kB
  • 13. Multivariate differentiation/6. Partial derivatives.vtt 14.7 kB
  • 14. Python intro Data types/7. Dictionaries.vtt 14.3 kB
  • 07. Differentiation fundamentals/8. Interpreting derivatives plots.vtt 14.2 kB
  • 11. Applications/8. CodeChallenge linear approximations, part 2.vtt 14.0 kB
  • 07. Differentiation fundamentals/10. Derivatives of polynomials.vtt 14.0 kB
  • 03. Functions/8. Polynomial functions.vtt 13.9 kB
  • 03. Functions/4. Domain and range of a function.vtt 13.8 kB
  • 17. Python intro Flow control/6. Enumerate and zip iterables.vtt 13.7 kB
  • 07. Differentiation fundamentals/15. Critical points Definition and applications.vtt 13.7 kB
  • 05. Limits/20. What the $% is an infinitesimal.vtt 13.6 kB
  • 03. Functions/22. Continuous and discontinuous functions.vtt 13.2 kB
  • 09. Differentiation rules and theorems/10. Implicit differentiation proofs (log, exp, power).vtt 13.1 kB
  • 13. Multivariate differentiation/11. Gradients and gradient fields.vtt 13.1 kB
  • 09. Differentiation rules and theorems/19. Mean value theorem.vtt 13.0 kB
  • 05. Limits/9. CodeChallenge properties of limits, part 2.vtt 12.7 kB
  • 16. Python intro Functions/6. Generating random numbers.vtt 12.6 kB
  • 13. Multivariate differentiation/2. 2D functions.vtt 12.6 kB
  • 09. Differentiation rules and theorems/24. CodeChallenge More differentiation exercises, part 2.vtt 11.7 kB
  • 03. Functions/5. Linear and nonlinear functions.vtt 11.5 kB
  • 03. Functions/16. CodeChallenge Power and log, part 2.vtt 11.4 kB
  • 07. Differentiation fundamentals/14. Derivatives of log and exp.vtt 11.4 kB
  • 09. Differentiation rules and theorems/3. Theorem Differentiability implies continuity.vtt 11.3 kB
  • 07. Differentiation fundamentals/6. Various notations of the derivative.vtt 11.2 kB
  • 13. Multivariate differentiation/9. CodeChallenge Higher-order partial derivatives.vtt 11.2 kB
  • 07. Differentiation fundamentals/2. Slope of a line.vtt 10.9 kB
  • 09. Differentiation rules and theorems/12. CodeChallenge implicit differentiation, part 2.vtt 10.7 kB
  • 03. Functions/26. Composite functions.vtt 10.6 kB
  • 01. Introductions/3. Using the Udemy platform.vtt 10.5 kB
  • 08. Tangent Where does math come from/1. Is math discovered or invented.vtt 10.4 kB
  • 05. Limits/4. Easy limits by plugging in or factoring.vtt 10.4 kB
  • 11. Applications/11. CodeChallenge Newt's roots, part 2.vtt 10.4 kB
  • 14. Python intro Data types/5. Tuples.vtt 10.3 kB
  • 09. Differentiation rules and theorems/16. CodeChallenge Derivatives of derivatives... (part 2).vtt 10.3 kB
  • 03. Functions/21. CodeChallenge piecewise functions, part 2.vtt 10.2 kB
  • 05. Limits/2. Limits in geometry and algebra.vtt 9.8 kB
  • 19. Python intro Text and data visualization/6. Export plots in low and high resolution.vtt 9.7 kB
  • 05. Limits/19. Limited limits possibilities.vtt 9.7 kB
  • 16. Python intro Functions/3. Getting help on functions.vtt 9.5 kB
  • 04. Tangent Levels of understanding/1. What does it mean to understand math.vtt 9.4 kB
  • 16. Python intro Functions/1. Inputs and outputs.vtt 9.2 kB
  • 06. Tangent Accountability in online learning/1. The pros and cons of self-directed learning.vtt 8.6 kB
  • 03. Functions/25. Intermediate value theorem.vtt 8.6 kB
  • 01. Introductions/1. Prerequisites and how to rock this course.vtt 8.3 kB
  • 05. Limits/5. One-sided limits and infinities.vtt 8.0 kB
  • 07. Differentiation fundamentals/13. Derivatives of absolute value and square root.vtt 7.8 kB
  • 09. Differentiation rules and theorems/2. Linearity of differentiation (proof).vtt 7.8 kB
  • 05. Limits/10. Continuity and discontinuities, revisited.vtt 7.5 kB
  • 06. Tangent Accountability in online learning/2. Suggestions for learning accountability.vtt 7.2 kB
  • 03. Functions/2. Terminology in math vs. coding.vtt 6.8 kB
  • 02. Download all course materials/1. IMPORTANT Downloading and using the code.vtt 5.9 kB
  • 03. Functions/1. Section summary and goals.vtt 5.8 kB
  • 09. Differentiation rules and theorems/1. Section summary and goals.vtt 5.7 kB
  • 05. Limits/1. Section summary and goals.vtt 5.4 kB
  • 20. Bonus section/1. Bonus content.html 4.8 kB
  • 07. Differentiation fundamentals/5. Derivative of a constant is 0 (proof).vtt 4.5 kB
  • 03. Functions/19. Piecewise functions.vtt 4.5 kB
  • 12. Tangent The joys and challenges of learning/1. Embrace difficulties.vtt 4.1 kB
  • 05. Limits/14. CodeChallenge Confirm the trig limits.vtt 4.0 kB
  • 13. Multivariate differentiation/1. Section summary and goals.vtt 3.9 kB
  • 13. Multivariate differentiation/14. Gradient descent in 2D.vtt 3.8 kB
  • 10. Tangent Learn from multiple sources/1. Benefits of varied learning sources.vtt 3.6 kB
  • 02. Download all course materials/3. Should you watch the Python tutorial.vtt 3.6 kB
  • 04. Tangent Levels of understanding/2. Timescales of discovering vs. learning math.vtt 3.1 kB
  • 03. Functions/11. Transcendental functions.vtt 2.9 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

温馨提示

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！