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

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