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[FreeCourseLab.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy

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视频 2019-2-4 02:01 2024-12-3 12:33 145 3.96 GB 68
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文件列表
  1. 1. Introduction/1. Course Objectives, Audience, and prerequisites.mp450.91MB
  2. 1. Introduction/2. Course Contents Walkthrough.mp429.1MB
  3. 1. Introduction/3. Please do leave your feedback.mp43.66MB
  4. 1. Introduction/4. Scientific Python Ecosystem.mp428.32MB
  5. 1. Introduction/5. Introduction to NumPy.mp419.93MB
  6. 10. Routines for Random/1. Routines for Random.mp432.85MB
  7. 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4189.78MB
  8. 12. Bitwise Operations on NumPy Arrays/1. Bitwise Operations on NumPy Arrays.mp421.84MB
  9. 13. Statistical Functions in NumPy/1. Statistical Functions in NumPy.mp430.51MB
  10. 14. FFTs/1. FFTs and Inverse FFT.mp490.17MB
  11. 14. FFTs/2. Advanced FFTs.mp470.16MB
  12. 15. Matrices and Linear Algebra/1. Dot Products.mp445.79MB
  13. 15. Matrices and Linear Algebra/2. Vector Dot Product.mp419.52MB
  14. 15. Matrices and Linear Algebra/3. Inner Product.mp413.83MB
  15. 15. Matrices and Linear Algebra/4. QR Decomposition.mp417.2MB
  16. 15. Matrices and Linear Algebra/5. Determining and Solving Linear Equations.mp438.4MB
  17. 16. Mathematical and Trigonometric Functions/1. Sin, Cos, Tan.mp430.36MB
  18. 16. Mathematical and Trigonometric Functions/2. Sinh, Cosh, Tanh.mp418.81MB
  19. 16. Mathematical and Trigonometric Functions/3. Exponent.mp418.89MB
  20. 16. Mathematical and Trigonometric Functions/4. Logarithms.mp414.96MB
  21. 16. Mathematical and Trigonometric Functions/5. Convolution.mp415.38MB
  22. 17. Digital Image Processing with NumPy and Matplotlib/1. What is Digital Image Processing.mp458.09MB
  23. 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp479.91MB
  24. 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4126.05MB
  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.mp446.65MB
  27. 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp478.39MB
  28. 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4113.77MB
  29. 17. Digital Image Processing with NumPy and Matplotlib/6. Image Statistics.mp420.97MB
  30. 17. Digital Image Processing with NumPy and Matplotlib/7. Image Masks.mp456.09MB
  31. 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp481.81MB
  32. 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp479.45MB
  33. 18. File Operations with NumPy/1. Working with .npy files.mp432.2MB
  34. 18. File Operations with NumPy/2. Working with .csv files.mp426.44MB
  35. 19. Set Operations with NumPy/1. Set Operations with NumPy.mp447.67MB
  36. 2. Python 3 on Windows/1. Install Python 3 on Windows.mp447.65MB
  37. 2. Python 3 on Windows/2. Verify Python 3 installation on Windows.mp446.86MB
  38. 20. Sorting and Counting Routines in NumPy/1. Sorting with NumPy.mp417.65MB
  39. 20. Sorting and Counting Routines in NumPy/2. Counting non-zero elements in NumPy Ndarray.mp424.15MB
  40. 3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp445.36MB
  41. 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp484.53MB
  42. 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.2MB
  43. 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4183.94MB
  44. 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4106.32MB
  45. 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp478.73MB
  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.mp444.28MB
  49. 4. Basics of Python 3/4. Exploring IDLE.mp469.85MB
  50. 4. Basics of Python 3/5. What platform to use.mp471.11MB
  51. 5. Python Package Index and pip/1. Introduction to PyPI and pip.mp431.06MB
  52. 5. Python Package Index and pip/2. pip on Windows.mp462.92MB
  53. 5. Python Package Index and pip/3. pip on Raspberry Pi.mp482.27MB
  54. 6. NumPy and Matplotlib installation/1. Install NumPy and Matplotlib on Windows.mp446.65MB
  55. 6. NumPy and Matplotlib installation/2. Install NumPy and Matplotlib on Raspberry Pi.mp462.89MB
  56. 7. Jupyter/1. What is Jupyter.mp4103.34MB
  57. 7. Jupyter/2. Install Jupyter on Windows.mp453.23MB
  58. 7. Jupyter/3. Install Jupyter on Raspberry Pi.mp462.67MB
  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.mp4153.28MB
  62. 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4129.88MB
  63. 8. Getting Started with NumPy/2. NumPy Ndarrays Properties.mp442.76MB
  64. 8. Getting Started with NumPy/3. NumPy Mathematical and Scientific Constants.mp416.41MB
  65. 9. Array Creation Routines and Matplotlib/1. Zeroes and Ones.mp448.28MB
  66. 9. Array Creation Routines and Matplotlib/2. Matrices.mp431.63MB
  67. 9. Array Creation Routines and Matplotlib/3. What is Matplotlib.mp415.64MB
  68. 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4102.21MB
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