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[Tutorialsplanet.NET] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy

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视频 2020-2-12 14:57 2024-12-4 18:20 142 4.05 GB 68
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文件列表
  1. 1. Introduction/1. Course Objectives, Audience, and prerequisites.mp450.9MB
  2. 1. Introduction/2. Course Contents Walkthrough.mp429.09MB
  3. 1. Introduction/3. Please do leave your feedback.mp43.66MB
  4. 1. Introduction/4. Scientific Python Ecosystem.mp426.95MB
  5. 1. Introduction/5. Introduction to NumPy.mp419.92MB
  6. 10. Routines for Random/1. Routines for Random.mp432.83MB
  7. 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4189.54MB
  8. 12. Bitwise Operations on NumPy Arrays/1. Bitwise Operations on NumPy Arrays.mp422.07MB
  9. 13. Statistical Functions in NumPy/1. Statistical Functions in NumPy.mp431.09MB
  10. 14. FFTs/1. FFTs and Inverse FFT.mp490.67MB
  11. 14. FFTs/2. Advanced FFTs.mp470.6MB
  12. 15. Matrices and Linear Algebra/1. Dot Products.mp444.57MB
  13. 15. Matrices and Linear Algebra/2. Vector Dot Product.mp420.12MB
  14. 15. Matrices and Linear Algebra/3. Inner Product.mp414.45MB
  15. 15. Matrices and Linear Algebra/4. QR Decomposition.mp417.46MB
  16. 15. Matrices and Linear Algebra/5. Determining and Solving Linear Equations.mp438.85MB
  17. 16. Mathematical and Trigonometric Functions/1. Sin, Cos, Tan.mp429.08MB
  18. 16. Mathematical and Trigonometric Functions/2. Sinh, Cosh, Tanh.mp419.12MB
  19. 16. Mathematical and Trigonometric Functions/3. Exponent.mp418.56MB
  20. 16. Mathematical and Trigonometric Functions/4. Logarithms.mp414.69MB
  21. 16. Mathematical and Trigonometric Functions/5. Convolution.mp415.77MB
  22. 17. Digital Image Processing with NumPy and Matplotlib/1. What is Digital Image Processing.mp456.43MB
  23. 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp474.45MB
  24. 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4125.6MB
  25. 17. Digital Image Processing with NumPy and Matplotlib/2. Image Datasets for Practicals.mp443.98MB
  26. 17. Digital Image Processing with NumPy and Matplotlib/3. Installing Pillow on Windows and Raspberry Pi.mp445.36MB
  27. 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp476.06MB
  28. 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4115.25MB
  29. 17. Digital Image Processing with NumPy and Matplotlib/6. Image Statistics.mp421.41MB
  30. 17. Digital Image Processing with NumPy and Matplotlib/7. Image Masks.mp455.14MB
  31. 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp480.43MB
  32. 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp479.79MB
  33. 18. File Operations with NumPy/1. Working with .npy files.mp432.19MB
  34. 18. File Operations with NumPy/2. Working with .csv files.mp426.43MB
  35. 19. Set Operations with NumPy/1. Set Operations with NumPy.mp447.51MB
  36. 2. Python 3 on Windows/1. Install Python 3 on Windows.mp447.64MB
  37. 2. Python 3 on Windows/2. Verify Python 3 installation on Windows.mp446.85MB
  38. 20. Sorting and Counting Routines in NumPy/1. Sorting with NumPy.mp417.53MB
  39. 20. Sorting and Counting Routines in NumPy/2. Counting non-zero elements in NumPy Ndarray.mp424.32MB
  40. 3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4156.19MB
  41. 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp479.26MB
  42. 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.19MB
  43. 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4183.93MB
  44. 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4106.31MB
  45. 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp478.72MB
  46. 4. Basics of Python 3/1. Hello World program on Windows.mp458.66MB
  47. 4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4117.06MB
  48. 4. Basics of Python 3/3. Python 3 Interpreter vs Script Mode.mp444.27MB
  49. 4. Basics of Python 3/4. Exploring IDLE.mp469.84MB
  50. 4. Basics of Python 3/5. What platform to use.mp471.1MB
  51. 5. Python Package Index and pip/1. Introduction to PyPI and pip.mp431.05MB
  52. 5. Python Package Index and pip/2. pip on Windows.mp462.91MB
  53. 5. Python Package Index and pip/3. pip on Raspberry Pi.mp482.26MB
  54. 6. NumPy and Matplotlib installation/1. Install NumPy and Matplotlib on Windows.mp446.66MB
  55. 6. NumPy and Matplotlib installation/2. Install NumPy and Matplotlib on Raspberry Pi.mp462.88MB
  56. 7. Jupyter/1. What is Jupyter.mp4103.33MB
  57. 7. Jupyter/2. Install Jupyter on Windows.mp453.22MB
  58. 7. Jupyter/3. Install Jupyter on Raspberry Pi.mp462.66MB
  59. 7. Jupyter/4. Install PuTTY on Windows.mp437.39MB
  60. 7. Jupyter/5. Remotely connect to a Jupyter notebook.mp452.75MB
  61. 7. Jupyter/6. A brief Tour of Jupyter.mp4153.27MB
  62. 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4129.15MB
  63. 8. Getting Started with NumPy/2. NumPy Ndarrays Properties.mp442.48MB
  64. 8. Getting Started with NumPy/3. NumPy Mathematical and Scientific Constants.mp416.72MB
  65. 9. Array Creation Routines and Matplotlib/1. Zeroes and Ones.mp447.51MB
  66. 9. Array Creation Routines and Matplotlib/2. Matrices.mp430.26MB
  67. 9. Array Creation Routines and Matplotlib/3. What is Matplotlib.mp415.76MB
  68. 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4102.75MB
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