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

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