种子简介
种子名称：
[FreeCourseSite.com] Udemy - 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：
3.94 GB
收录时间：
2023-4-12 12:05
已经下载：
3次
资源热度：
122
最近下载：
2024-6-6 04:45
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种子包含的文件
[FreeCourseSite.com] Udemy - 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.mp426.96MB
1. Introduction/5. Introduction to NumPy.mp419.93MB
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.mp422.08MB
13. Statistical Functions in NumPy/1. Statistical Functions in NumPy.mp431.1MB
14. FFTs/1. FFTs and Inverse FFT.mp490.67MB
14. FFTs/2. Advanced FFTs.mp470.61MB
15. Matrices and Linear Algebra/1. Dot Products.mp444.58MB
15. Matrices and Linear Algebra/2. Vector Dot Product.mp420.11MB
15. Matrices and Linear Algebra/3. Inner Product.mp414.46MB
15. Matrices and Linear Algebra/4. QR Decomposition.mp417.46MB
15. Matrices and Linear Algebra/5. Determining and Solving Linear Equations.mp438.86MB
16. Mathematical and Trigonometric Functions/1. Sin, Cos, Tan.mp429.08MB
16. Mathematical and Trigonometric Functions/2. Sinh, Cosh, Tanh.mp419.13MB
16. Mathematical and Trigonometric Functions/3. Exponent.mp418.56MB
16. Mathematical and Trigonometric Functions/4. Logarithms.mp414.7MB
16. Mathematical and Trigonometric Functions/5. Convolution.mp415.78MB
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.mp474.46MB
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.mp421.4MB
17. Digital Image Processing with NumPy and Matplotlib/7. Image Masks.mp455.15MB
17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp480.43MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp479.8MB
18. File Operations with NumPy/1. Working with .npy files.mp432.2MB
18. File Operations with NumPy/2. Working with .csv files.mp426.43MB
19. Set Operations with NumPy/1. Set Operations with NumPy.mp447.5MB
2. Python 3 on Windows/1. Install Python 3 on Windows.mp447.65MB
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.mp445.36MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp484.52MB
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.mp4183.94MB
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.mp458.67MB
4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4117.07MB
4. Basics of Python 3/3. Python 3 Interpreter vs Script Mode.mp444.28MB
4. Basics of Python 3/4. Exploring IDLE.mp469.85MB
4. Basics of Python 3/5. What platform to use.mp471.11MB
5. Python Package Index and pip/1. Introduction to PyPI and pip.mp431.06MB
5. Python Package Index and pip/2. pip on Windows.mp462.92MB
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.mp462.89MB
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.mp437.4MB
7. Jupyter/5. Remotely connect to a Jupyter notebook.mp452.75MB
7. Jupyter/6. A brief Tour of Jupyter.mp4153.28MB
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.mp447.52MB
9. Array Creation Routines and Matplotlib/2. Matrices.mp430.27MB
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
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