- 【影视】 [FreeCourseLab.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
- 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 199.0 MB
- 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
- 7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
- 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 136.2 MB
- 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 132.2 MB
- 4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
- 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 119.3 MB
- 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
- 7. Jupyter/1. What is Jupyter.mp4 108.4 MB
- 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.2 MB
- 14. FFTs/1. FFTs and Inverse FFT.mp4 94.6 MB
- 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 88.6 MB
- 5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 85.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 83.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.3 MB
- 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.6 MB
- 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 82.2 MB
- 4. Basics of Python 3/5. What platform to use.mp4 74.6 MB
- 猜你喜欢: Hero Complete Masterclass Udemy Zero com Go FreeCourseLab NumPy Numpy
- 【影视】 [FreeCourseSite.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
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- 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
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- 7. Jupyter/1. What is Jupyter.mp4 108.3 MB
- 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
- 14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
- 5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
- 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
- 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
- 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
- 猜你喜欢: Hero Complete FreeCourseSite Masterclass Udemy Zero com Go NumPy Numpy
- 【影视】 Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
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- Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/1. What is Jupyter.mp4 108.3 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
- Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
- 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
- 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
- 3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
- 7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
- 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
- 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
- 4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
- 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
- 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
- 7. Jupyter/1. What is Jupyter.mp4 108.3 MB
- 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
- 14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
- 5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
- 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
- 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
- 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
- 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
- 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
- 7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
- 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
- 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
- 4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
- 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
- 7. Jupyter/1. What is Jupyter.mp4 108.3 MB
- 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
- 14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
- 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 88.6 MB
- 5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
- 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
- 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
- 4. Basics of Python 3/5. What platform to use.mp4 74.6 MB
- 猜你喜欢: Hero Complete FreeCourseSite Masterclass Udemy Zero com Go NumPy Numpy
- 【影视】 Complete NumPy Masterclass Go from Zero to Hero in Numpy
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- 3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
- 11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
- 3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
- 3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
- 7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
- 8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
- 17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
- 4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
- 17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
- 3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
- 7. Jupyter/1. What is Jupyter.mp4 108.3 MB
- 9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
- 14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
- 5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
- 17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
- 3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
- 3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
- 17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
- 17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
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- ~Get Your Files Here !/03 - Accessing numpy array/004 NumPy - Iterating Over Array.mp4 142.0 MB
- ~Get Your Files Here !/04 - Operations on numpy array/005 NumPy - Statistical Functions.mp4 138.0 MB
- ~Get Your Files Here !/03 - Accessing numpy array/001 NumPy - Indexing & Slicing.mp4 134.8 MB
- ~Get Your Files Here !/05 - Advanced operations on numpy array/004 NumPy - Matplotlib.mp4 112.6 MB
- ~Get Your Files Here !/03 - Accessing numpy array/002 NumPy - Advanced Indexing.mp4 111.3 MB
- ~Get Your Files Here !/04 - Operations on numpy array/004 NumPy - Arithmetic Operations.mp4 110.3 MB
- ~Get Your Files Here !/02 - NumPy Array Creation/002 NumPy - Array From Existing Data.mp4 105.9 MB
- ~Get Your Files Here !/01 - Introduction to numpy/004 NumPy - Data Types.mp4 99.9 MB
- ~Get Your Files Here !/02 - NumPy Array Creation/003 NumPy - Array From Numerical Ranges.mp4 94.9 MB
- ~Get Your Files Here !/05 - Advanced operations on numpy array/001 NumPy - Copies & Views.mp4 86.4 MB
- ~Get Your Files Here !/04 - Operations on numpy array/001 NumPy - Array Manipulation.mp4 80.9 MB
- ~Get Your Files Here !/03 - Accessing numpy array/003 NumPy - Broadcasting.mp4 76.3 MB
- ~Get Your Files Here !/01 - Introduction to numpy/005 NumPy - Array Attributes.mp4 72.3 MB
- ~Get Your Files Here !/05 - Advanced operations on numpy array/002 NumPy - Matrix Library.mp4 68.2 MB
- ~Get Your Files Here !/02 - NumPy Array Creation/001 NumPy - Array Creation Routines.mp4 66.8 MB
- ~Get Your Files Here !/01 - Introduction to numpy/003 NumPy - Ndarray Object.mp4 65.6 MB
- ~Get Your Files Here !/05 - Advanced operations on numpy array/005 NumPy - Histogram Using Matplotlib.mp4 43.8 MB
- ~Get Your Files Here !/04 - Operations on numpy array/006 NumPy - Sort, Search & Counting Functions.mp4 43.6 MB
- ~Get Your Files Here !/04 - Operations on numpy array/003 NumPy - Mathematical Functions.mp4 41.6 MB
- ~Get Your Files Here !/05 - Advanced operations on numpy array/006 IO with NumPy.mp4 39.4 MB
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- 收录时间:2020-02-03 文档个数:29 文档大小:255.2 MB 最近下载:2024-09-30 人气:252 磁力链接
- 06 Appendix/027 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
- 04 Matplotlib/021 Plotting Images.mp4 15.9 MB
- 02 Numpy/009 More Matrix Operations.mp4 13.2 MB
- 02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
- 05 Scipy/026 Other Interesting Scipy Functions.mp4 11.6 MB
- 01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
- 05 Scipy/024 Sampling from a Gaussian Distribution Spherical and Axis-aligned Elliptical.mp4 10.1 MB
- 03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
- 03 Pandas/012 Manual Data Loading.mp4 9.5 MB
- 02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
- 05 Scipy/022 Gaussian PDF and CDF.mp4 8.8 MB
- 02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
- 04 Matplotlib/020 Histogram.mp4 7.7 MB
- 03 Pandas/013 DataFrames.mp4 7.5 MB
- 04 Matplotlib/019 Scatterplot.mp4 7.4 MB
- 01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
- 02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
- 04 Matplotlib/018 Line Chart.mp4 6.6 MB
- 03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
- 03 Pandas/016 The apply Function.mp4 5.9 MB
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- 06 Appendix/027 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
- 04 Matplotlib/021 Plotting Images.mp4 15.9 MB
- 02 Numpy/009 More Matrix Operations.mp4 13.2 MB
- 02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
- 05 Scipy/026 Other Interesting Scipy Functions.mp4 11.6 MB
- 01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
- 05 Scipy/024 Sampling from a Gaussian Distribution Spherical and Axis-aligned Elliptical.mp4 10.1 MB
- 03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
- 03 Pandas/012 Manual Data Loading.mp4 9.5 MB
- 02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
- 05 Scipy/022 Gaussian PDF and CDF.mp4 8.8 MB
- 02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
- 04 Matplotlib/020 Histogram.mp4 7.7 MB
- 03 Pandas/013 DataFrames.mp4 7.5 MB
- 04 Matplotlib/019 Scatterplot.mp4 7.4 MB
- 01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
- 02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
- 04 Matplotlib/018 Line Chart.mp4 6.6 MB
- 03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
- 03 Pandas/016 The apply Function.mp4 5.9 MB
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- 收录时间:2020-02-29 文档个数:3 文档大小:2.6 GB 最近下载:2024-09-23 人气:5104 磁力链接
- 3.mp4 1.3 GB
- 2.mp4 857.9 MB
- 1.mp4 408.6 MB
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- 收录时间:2020-03-01 文档个数:95 文档大小:3.1 GB 最近下载:2024-09-02 人气:2048 磁力链接
- 8. Client Element and Datasets/3. Adding Email and Client Name.mp4 116.6 MB
- 8. Client Element and Datasets/1. Indexing the Client Element.mp4 111.2 MB
- 7. Database and Chat App/2. Commands for Creating a Table.mp4 105.2 MB
- 7. Database and Chat App/5. Query from Database.mp4 96.8 MB
- 10. Numpy Arrays/2. Different Dimensional Array in Numpy.mp4 96.5 MB
- 10. Numpy Arrays/1. Creating Numpy Arrays.mp4 94.9 MB
- 5. Socket Programming/2. Writing the Client and Server Code.mp4 90.3 MB
- 8. Client Element and Datasets/6. Converting Temperature using List comprehension.mp4 89.1 MB
- 8. Client Element and Datasets/2. Connection from Client at Address.mp4 89.0 MB
- 3. Nuts and Bolts/3. Learning the Bolt Structure.mp4 84.4 MB
- 10. Numpy Arrays/4. Slicing.mp4 83.3 MB
- 7. Database and Chat App/4. Connecting Between Database and Python Code.mp4 80.5 MB
- 6. ChatBot App/4. Creating and Importing Client Socket.mp4 78.5 MB
- 10. Numpy Arrays/9. Using Scalers with Numpy Arrays.mp4 77.4 MB
- 7. Database and Chat App/6. Making changes in Chat App.mp4 76.6 MB
- 3. Nuts and Bolts/2. Methods of the List.mp4 76.4 MB
- 6. ChatBot App/5. Creating Message for Client.mp4 75.4 MB
- 8. Client Element and Datasets/4. Analyzing the Data Sets.mp4 72.5 MB
- 10. Numpy Arrays/6. Arrays of Ones and Zeros.mp4 72.3 MB
- 10. Numpy Arrays/10. Matrix Multiplication.mp4 72.0 MB
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- 收录时间:2020-03-02 文档个数:88 文档大小:629.4 MB 最近下载:2024-10-07 人气:1523 磁力链接
- 16-Broadcasting.mp4 31.4 MB
- 38-Brain teasers.mp4 31.3 MB
- 17-Structured and record arrays.mp4 29.0 MB
- 13-linspace, zeros, ones, data types.mp4 25.3 MB
- 27-Add and remove elements.mp4 24.3 MB
- 07-Notebook basics.mp4 22.0 MB
- 37-Statistics.mp4 21.4 MB
- 35-Linear algebra.mp4 20.6 MB
- 39-Magic squares and NumPy.mp4 20.5 MB
- 36-Finding patterns.mp4 20.2 MB
- 28-Join and split arrays.mp4 20.1 MB
- 25-Views and copies.mp4 20.1 MB
- 14-Slice arrays.mp4 19.0 MB
- 12-Intrinsic creation using NumPy methods.mp4 18.5 MB
- 11-Create arrays from Python structures.mp4 18.5 MB
- 40-Adjacency matrix.mp4 17.5 MB
- 20-Multiple lines, single plot.mp4 17.3 MB
- 41-Magic characteristics.mp4 15.8 MB
- 22-Plot annotations.mp4 14.6 MB
- 19-Figures and subplots.mp4 13.6 MB
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- 03. Python 3 on Raspberry Pi/4. Raspbian OS Installation Part 1.mp4 240.4 MB
- 11. Array Manipulation Routines/1. Array Manipulation Routines.mp4 198.8 MB
- 03. Python 3 on Raspberry Pi/5. Raspbian OS Installation Part 2.mp4 192.8 MB
- 18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.1 MB
- 07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.4 MB
- 14. Plotting in detail/3. Grid Axes and Labels.mp4 138.2 MB
- 08. Getting Started with NumPy/2. Ndarrays, Indexing, and Slicing.mp4 135.4 MB
- 03. Python 3 on Raspberry Pi/6. Remote connection with VNC.mp4 128.7 MB
- 18. Python and MySQL/4. Exploring SQL Workbench.mp4 117.6 MB
- 17. Data Acquisition with Python, NumPy, and Matplotlib/3. Handling Excel File.mp4 116.4 MB
- 07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.3 MB
- 19. Series and DataFrame in Pandas/2. Pandas Dataframe.mp4 110.3 MB
- 09. Creation of Arrays and Matplotlib/4. Numerical Rages Visualised.mp4 107.8 MB
- 18. Python and MySQL/6. Connect MySQL with Python 3.mp4 102.8 MB
- 16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
- 18. Python and MySQL/7. Execute DDL.mp4 96.4 MB
- 18. Python and MySQL/8. INSERT.mp4 95.7 MB
- 04. Basics of Python 3/4. IDLE.mp4 95.5 MB
- 19. Series and DataFrame in Pandas/1. Pandas Series.mp4 91.2 MB
- 20. Data Acquisition with Pandas/5. Pandas and Web.mp4 91.1 MB
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- 16-Broadcasting.mp4 31.4 MB
- 38-Brain teasers.mp4 31.3 MB
- 17-Structured and record arrays.mp4 29.0 MB
- 13-linspace, zeros, ones, data types.mp4 25.3 MB
- 27-Add and remove elements.mp4 24.3 MB
- 07-Notebook basics.mp4 22.0 MB
- 37-Statistics.mp4 21.4 MB
- 35-Linear algebra.mp4 20.6 MB
- 39-Magic squares and NumPy.mp4 20.5 MB
- 36-Finding patterns.mp4 20.2 MB
- 28-Join and split arrays.mp4 20.1 MB
- 25-Views and copies.mp4 20.1 MB
- 14-Slice arrays.mp4 19.0 MB
- 12-Intrinsic creation using NumPy methods.mp4 18.5 MB
- 11-Create arrays from Python structures.mp4 18.5 MB
- 40-Adjacency matrix.mp4 17.5 MB
- 20-Multiple lines, single plot.mp4 17.3 MB
- 41-Magic characteristics.mp4 15.8 MB
- 22-Plot annotations.mp4 14.6 MB
- 19-Figures and subplots.mp4 13.6 MB
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- 收录时间:2020-05-08 文档个数:3 文档大小:2.6 GB 最近下载:2024-10-08 人气:26804 磁力链接
- 3.mp4 1.3 GB
- 2.mp4 857.9 MB
- 1.mp4 408.6 MB
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- 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
- 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
- 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
- 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
- 3. Pandas/7. .values vs .as_matrix().mp4 34.9 MB
- 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.7 MB
- 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
- 6. Appendix FAQ/1. Exercises.mp4 17.5 MB
- 4. Matplotlib/4. Plotting Images.mp4 12.8 MB
- 2. Numpy/7. More Matrix Operations.mp4 12.6 MB
- 2. Numpy/1. Lists vs. Arrays.mp4 11.2 MB
- 1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4 10.6 MB
- 5. Scipy/5. Other Interesting Scipy Functions.mp4 10.5 MB
- 5. Scipy/1. Gaussian PDF and CDF.mp4 8.9 MB
- 3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4 8.6 MB
- 2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.6 MB
- 3. Pandas/1. Manual Data Loading.mp4 8.5 MB
- 1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4 7.9 MB
- 5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4 7.9 MB
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- 9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
- 9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
- 5. Python Exercises/2. Solutions.mp4 114.7 MB
- 1. Introduction/1. What is Data analysis.mp4 100.4 MB
- 6. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
- 18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
- 17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
- 8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
- 6. Numpy/1. Creating NumPy array.mp4 89.3 MB
- 8. Data Frame Pandas/13. sorting values.mp4 88.9 MB
- 8. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
- 1. Introduction/2. Introduction to Pandas.mp4 82.2 MB
- 8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
- 2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
- 1. Introduction/3. Course FAQ.mp4 77.2 MB
- 8. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
- 14. Working with Text Data/3. More String methods.mp4 74.4 MB
- 8. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
- 11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
- 12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB
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- 收录时间:2020-07-17 文档个数:263 文档大小:4.5 GB 最近下载:2024-10-06 人气:4007 磁力链接
- 09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
- 09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
- 05. Python Exercises/2. Solutions.mp4 114.7 MB
- 01. Introduction/1. What is Data analysis.mp4 100.4 MB
- 06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
- 18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
- 17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
- 08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
- 06. Numpy/1. Creating NumPy array.mp4 89.3 MB
- 08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
- 08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
- 01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
- 08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
- 02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
- 01. Introduction/3. Course FAQ.mp4 77.2 MB
- 08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
- 14. Working with Text Data/3. More String methods.mp4 74.4 MB
- 08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
- 11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
- 12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB
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- 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
- 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
- 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
- 2. Numpy (New)/5. Matrices.mp4 60.0 MB
- 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
- 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
- 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
- 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
- 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
- 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
- 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
- 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
- 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
- 1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
- 2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
- 4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
- 5. Scipy (New)/3. Convolution.mp4 22.5 MB
- 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
- 3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
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- 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
- 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 2. Numpy (New)/7. Generating Data.mp4 66.3 MB
- 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
- 2. Numpy (New)/5. Matrices.mp4 60.0 MB
- 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
- 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
- 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
- 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
- 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
- 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
- 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
- 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
- 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
- 1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
- 2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
- 4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
- 5. Scipy (New)/3. Convolution.mp4 22.5 MB
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