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Название [FreeCourseSite.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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[CourseClub.ME].url 122б
[FCS Forum].url 133б
[FreeCourseSite.com].url 127б
1.1 CodeBundle.zip.zip 3.94Мб
1. Array Manipulation Routines (split, stack, flip).mp4 189.54Мб
1. Bitwise Operations on NumPy Arrays.mp4 22.07Мб
1. Course Objectives, Audience, and prerequisites.mp4 50.90Мб
1. Creating N-dimensional arrays, indexing, and slicing.mp4 129.15Мб
1. Dot Products.mp4 44.57Мб
1. Downloadable Code Bundle.html 77б
1. FFTs and Inverse FFT.mp4 90.67Мб
1. Hello World program on Windows.mp4 58.66Мб
1. Install NumPy and Matplotlib on Windows.mp4 46.66Мб
1. Install Python 3 on Windows.mp4 47.64Мб
1. Introduction to PyPI and pip.mp4 31.05Мб
1. Routines for Random.mp4 32.83Мб
1. Set Operations with NumPy.mp4 47.51Мб
1. Sin, Cos, Tan.mp4 29.08Мб
1. Sorting with NumPy.mp4 17.53Мб
1. Statistical Functions in NumPy.mp4 31.09Мб
1. What is Digital Image Processing.mp4 56.43Мб
1. What is Jupyter.mp4 103.33Мб
1. What is Raspberry Pi.mp4 156.19Мб
1. Working with .npy files.mp4 32.19Мб
1. Zeroes and Ones.mp4 47.51Мб
10. Logical Operations.mp4 74.45Мб
11. Histogram with NumPy and Matplotlib.mp4 125.60Мб
2.1 01 Image Datasets Online.pdf.pdf 190.97Кб
2.1 02 Installing NumPy and Matplotlib on Raspberry Pi.pdf.pdf 155.30Кб
2.1 02 Verifying Installation on Windows.pdf.pdf 155.24Кб
2.1 BONUS LECTURE.pdf.pdf 66.02Кб
2. Advanced FFTs.mp4 70.60Мб
2. BONUS LECTURE.html 88б
2. Counting non-zero elements in NumPy Ndarray.mp4 24.32Мб
2. Course Contents Walkthrough.mp4 29.09Мб
2. Hello World program on Raspberry Pi.mp4 117.06Мб
2. Image Datasets for Practicals.mp4 43.98Мб
2. Install Jupyter on Windows.mp4 53.22Мб
2. Install NumPy and Matplotlib on Raspberry Pi.mp4 62.88Мб
2. Matrices.mp4 30.26Мб
2. NumPy Ndarrays Properties.mp4 42.48Мб
2. pip on Windows.mp4 62.91Мб
2. Raspberry Pi Unboxing.mp4 79.26Мб
2. Sinh, Cosh, Tanh.mp4 19.12Мб
2. Vector Dot Product.mp4 20.12Мб
2. Verify Python 3 installation on Windows.mp4 46.85Мб
2. Working with .csv files.mp4 26.43Мб
3.1 02 Web URLs for downloads.pdf.pdf 110.35Кб
3. Exponent.mp4 18.56Мб
3. Inner Product.mp4 14.45Мб
3. Installing Pillow on Windows and Raspberry Pi.mp4 45.36Мб
3. Install Jupyter on Raspberry Pi.mp4 62.66Мб
3. NumPy Mathematical and Scientific Constants.mp4 16.72Мб
3. pip on Raspberry Pi.mp4 82.26Мб
3. Please do leave your feedback.mp4 3.66Мб
3. Python 3 Interpreter vs Script Mode.mp4 44.27Мб
3. Resources for Raspberry Pi Setup.html 54б
3. What is Matplotlib.mp4 15.76Мб
4.1 NumPy Datatypes.pdf.pdf 162.40Кб
4. Exploring IDLE.mp4 69.84Мб
4. Install PuTTY on Windows.mp4 37.39Мб
4. Logarithms.mp4 14.69Мб
4. NumPy Data Types.html 75б
4. NumPy Numerical Ranges and Matplotlib.mp4 102.75Мб
4. QR Decomposition.mp4 17.46Мб
4. Raspberry Pi Raspbian OS Setup Part 1.mp4 229.19Мб
4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 76.06Мб
4. Scientific Python Ecosystem.mp4 26.95Мб
5. Convolution.mp4 15.77Мб
5. Determining and Solving Linear Equations.mp4 38.85Мб
5. Introduction to NumPy.mp4 19.92Мб
5. NumPy for Image Processing and Computer Vision.mp4 115.25Мб
5. Raspberry Pi Raspbian OS Setup Part 2.mp4 183.93Мб
5. Remotely connect to a Jupyter notebook.mp4 52.75Мб
5. What platform to use.mp4 71.10Мб
6.1 06 URLs of projects in Scientific Python Ecosystem.pdf.pdf 113.46Кб
6. A brief Tour of Jupyter.mp4 153.27Мб
6. Image Statistics.mp4 21.41Мб
6. PDF of URLs of all the Scientific Python Libraries.html 96б
6. Remotely accessing Pi with VNC.mp4 106.31Мб
7.1 07 Jupyter Installation and Remote Connection.pdf.pdf 162.99Кб
7. Image Masks.mp4 55.14Мб
7. List of commands and other resources used in this section.html 79б
7. Python on Raspberry Pi.mp4 78.72Мб
8.1 06 Linux Commands used in the Course.pdf.pdf 158.06Кб
8. Image Channels.mp4 80.43Мб
8. List of Linux Commands used in Raspberry Pi Setup.html 90б
9. Arithmetic Operations.mp4 79.79Мб
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