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种子名称： Complete NumPy Masterclass Go from Zero to Hero in Numpy
文件类型： 视频
文件数目： 68个文件
文件大小： 4.05 GB
收录时间： 2021-5-5 11:04
已经下载： 3次
资源热度： 183
最近下载： 2024-10-30 05:03

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Complete NumPy Masterclass Go from Zero to Hero in Numpy.torrent

1. Introduction/1. Course Objectives, Audience, and prerequisites.mp450.9MB

1. Introduction/2. Course Contents Walkthrough.mp429.09MB

1. Introduction/3. Please do leave your feedback.mp43.66MB

1. Introduction/4. Scientific Python Ecosystem.mp426.95MB

1. Introduction/5. Introduction to NumPy.mp419.92MB

10. Routines for Random/1. Routines for Random.mp432.83MB

11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4189.54MB

12. Bitwise Operations on NumPy Arrays/1. Bitwise Operations on NumPy Arrays.mp422.07MB

13. Statistical Functions in NumPy/1. Statistical Functions in NumPy.mp431.09MB

14. FFTs/1. FFTs and Inverse FFT.mp490.67MB

14. FFTs/2. Advanced FFTs.mp470.6MB

15. Matrices and Linear Algebra/1. Dot Products.mp444.57MB

15. Matrices and Linear Algebra/2. Vector Dot Product.mp420.12MB

15. Matrices and Linear Algebra/3. Inner Product.mp414.45MB

15. Matrices and Linear Algebra/4. QR Decomposition.mp417.46MB

15. Matrices and Linear Algebra/5. Determining and Solving Linear Equations.mp438.85MB

16. Mathematical and Trigonometric Functions/1. Sin, Cos, Tan.mp429.08MB

16. Mathematical and Trigonometric Functions/2. Sinh, Cosh, Tanh.mp419.12MB

16. Mathematical and Trigonometric Functions/3. Exponent.mp418.56MB

16. Mathematical and Trigonometric Functions/4. Logarithms.mp414.69MB

16. Mathematical and Trigonometric Functions/5. Convolution.mp415.77MB

17. Digital Image Processing with NumPy and Matplotlib/1. What is Digital Image Processing.mp456.43MB

17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp474.45MB

17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4125.6MB

17. Digital Image Processing with NumPy and Matplotlib/2. Image Datasets for Practicals.mp443.98MB

17. Digital Image Processing with NumPy and Matplotlib/3. Installing Pillow on Windows and Raspberry Pi.mp445.36MB

17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp476.06MB

17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4115.25MB

17. Digital Image Processing with NumPy and Matplotlib/6. Image Statistics.mp421.41MB

17. Digital Image Processing with NumPy and Matplotlib/7. Image Masks.mp455.14MB

17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp480.43MB

17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp479.79MB

18. File Operations with NumPy/1. Working with .npy files.mp432.19MB

18. File Operations with NumPy/2. Working with .csv files.mp426.43MB

19. Set Operations with NumPy/1. Set Operations with NumPy.mp447.51MB

2. Python 3 on Windows/1. Install Python 3 on Windows.mp447.64MB

2. Python 3 on Windows/2. Verify Python 3 installation on Windows.mp446.85MB

20. Sorting and Counting Routines in NumPy/1. Sorting with NumPy.mp417.53MB

20. Sorting and Counting Routines in NumPy/2. Counting non-zero elements in NumPy Ndarray.mp424.32MB

3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4156.19MB

3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp479.26MB

3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.19MB

3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4183.93MB

3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4106.31MB

3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp478.72MB

4. Basics of Python 3/1. Hello World program on Windows.mp458.66MB

4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4117.06MB

4. Basics of Python 3/3. Python 3 Interpreter vs Script Mode.mp444.27MB

4. Basics of Python 3/4. Exploring IDLE.mp469.84MB

4. Basics of Python 3/5. What platform to use.mp471.1MB

5. Python Package Index and pip/1. Introduction to PyPI and pip.mp431.05MB

5. Python Package Index and pip/2. pip on Windows.mp462.91MB

5. Python Package Index and pip/3. pip on Raspberry Pi.mp482.26MB

6. NumPy and Matplotlib installation/1. Install NumPy and Matplotlib on Windows.mp446.66MB

6. NumPy and Matplotlib installation/2. Install NumPy and Matplotlib on Raspberry Pi.mp462.88MB

7. Jupyter/1. What is Jupyter.mp4103.33MB

7. Jupyter/2. Install Jupyter on Windows.mp453.22MB

7. Jupyter/3. Install Jupyter on Raspberry Pi.mp462.66MB

7. Jupyter/4. Install PuTTY on Windows.mp437.39MB

7. Jupyter/5. Remotely connect to a Jupyter notebook.mp452.75MB

7. Jupyter/6. A brief Tour of Jupyter.mp4153.27MB

8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4129.15MB

8. Getting Started with NumPy/2. NumPy Ndarrays Properties.mp442.48MB

8. Getting Started with NumPy/3. NumPy Mathematical and Scientific Constants.mp416.72MB

9. Array Creation Routines and Matplotlib/1. Zeroes and Ones.mp447.51MB

9. Array Creation Routines and Matplotlib/2. Matrices.mp430.26MB

9. Array Creation Routines and Matplotlib/3. What is Matplotlib.mp415.76MB

9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4102.75MB