种子简介
种子名称：
[FreeCourseLab.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：
3.96 GB
收录时间：
2019-2-4 02:01
已经下载：
3次
资源热度：
119
最近下载：
2024-6-26 09:49
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magnet:?xt=urn:btih:739d3e9ea08fdce0343d766326e40ed715456a1b&dn=[FreeCourseLab.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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种子包含的文件
[FreeCourseLab.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy.torrent
1. Introduction/1. Course Objectives, Audience, and prerequisites.mp450.91MB
1. Introduction/2. Course Contents Walkthrough.mp429.1MB
1. Introduction/3. Please do leave your feedback.mp43.66MB
1. Introduction/4. Scientific Python Ecosystem.mp428.32MB
1. Introduction/5. Introduction to NumPy.mp419.93MB
10. Routines for Random/1. Routines for Random.mp432.85MB
11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4189.78MB
12. Bitwise Operations on NumPy Arrays/1. Bitwise Operations on NumPy Arrays.mp421.84MB
13. Statistical Functions in NumPy/1. Statistical Functions in NumPy.mp430.51MB
14. FFTs/1. FFTs and Inverse FFT.mp490.17MB
14. FFTs/2. Advanced FFTs.mp470.16MB
15. Matrices and Linear Algebra/1. Dot Products.mp445.79MB
15. Matrices and Linear Algebra/2. Vector Dot Product.mp419.52MB
15. Matrices and Linear Algebra/3. Inner Product.mp413.83MB
15. Matrices and Linear Algebra/4. QR Decomposition.mp417.2MB
15. Matrices and Linear Algebra/5. Determining and Solving Linear Equations.mp438.4MB
16. Mathematical and Trigonometric Functions/1. Sin, Cos, Tan.mp430.36MB
16. Mathematical and Trigonometric Functions/2. Sinh, Cosh, Tanh.mp418.81MB
16. Mathematical and Trigonometric Functions/3. Exponent.mp418.89MB
16. Mathematical and Trigonometric Functions/4. Logarithms.mp414.96MB
16. Mathematical and Trigonometric Functions/5. Convolution.mp415.38MB
17. Digital Image Processing with NumPy and Matplotlib/1. What is Digital Image Processing.mp458.09MB
17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp479.91MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4126.05MB
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.mp446.65MB
17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp478.39MB
17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4113.77MB
17. Digital Image Processing with NumPy and Matplotlib/6. Image Statistics.mp420.97MB
17. Digital Image Processing with NumPy and Matplotlib/7. Image Masks.mp456.09MB
17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp481.81MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp479.45MB
18. File Operations with NumPy/1. Working with .npy files.mp432.2MB
18. File Operations with NumPy/2. Working with .csv files.mp426.44MB
19. Set Operations with NumPy/1. Set Operations with NumPy.mp447.67MB
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.mp446.86MB
20. Sorting and Counting Routines in NumPy/1. Sorting with NumPy.mp417.65MB
20. Sorting and Counting Routines in NumPy/2. Counting non-zero elements in NumPy Ndarray.mp424.15MB
3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp445.36MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp484.53MB
3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.2MB
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.mp4106.32MB
3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp478.73MB
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.mp444.28MB
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.mp482.27MB
6. NumPy and Matplotlib installation/1. Install NumPy and Matplotlib on Windows.mp446.65MB
6. NumPy and Matplotlib installation/2. Install NumPy and Matplotlib on Raspberry Pi.mp462.89MB
7. Jupyter/1. What is Jupyter.mp4103.34MB
7. Jupyter/2. Install Jupyter on Windows.mp453.23MB
7. Jupyter/3. Install Jupyter on Raspberry Pi.mp462.67MB
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.mp4153.28MB
8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4129.88MB
8. Getting Started with NumPy/2. NumPy Ndarrays Properties.mp442.76MB
8. Getting Started with NumPy/3. NumPy Mathematical and Scientific Constants.mp416.41MB
9. Array Creation Routines and Matplotlib/1. Zeroes and Ones.mp448.28MB
9. Array Creation Routines and Matplotlib/2. Matrices.mp431.63MB
9. Array Creation Routines and Matplotlib/3. What is Matplotlib.mp415.64MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4102.21MB
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