[Tutorialsplanet.NET] Udemy - Master Python programming by solving scientific projects
File List
- 19 - Project 9 Denoising noisy signals/003 Smoothing via Gaussian convolution.mp4 211.2 MB
- 27 - Project 17 Interpolation and extrapolation/006 Fix corrupted image with interpolation.mp4 183.9 MB
- 30 - Project 20 Cryptocurrency investing/006 Simulating DCA investments (code).mp4 178.7 MB
- 28 - Project 18 Simulate a brain circuit/004 Simulate the neural circuit.mp4 175.6 MB
- 24 - Project 14 Local minimum via gradient descent/004 Repeat in 2D.mp4 153.2 MB
- 06 - Flow control/001 If-else statements.mp4 152.8 MB
- 23 - Project 13 Index your Python code/004 Create an alphabetized function index.mp4 152.5 MB
- 29 - Project 19 Animate data/006 Bonus the wandering primes.mp4 149.4 MB
- 28 - Project 18 Simulate a brain circuit/006 Run some experiments!.mp4 148.4 MB
- 14 - Project 4 State-space trajectories/002 Import and clean the data.mp4 148.1 MB
- 12 - Project 2 The Law of Large Numbers/004 Cumulative averaging.mp4 142.3 MB
- 07 - Text and data visualization/001 fprintf and f-strings.mp4 139.9 MB
- 15 - Project 5 Statistics/002 Import and inspect the data.mp4 138.3 MB
- 30 - Project 20 Cryptocurrency investing/007 Bonus Which coin should you have bought.mp4 137.0 MB
- 07 - Text and data visualization/004 Making the graphs look nicer.mp4 136.5 MB
- 29 - Project 19 Animate data/005 Mobius transform in matplotlib.mp4 136.3 MB
- 18 - Project 8 Awesome mathy stuff/004 Parameterized Gaussian.mp4 134.6 MB
- 30 - Project 20 Cryptocurrency investing/004 Data dimensionality via PCA.mp4 133.3 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/006 Bonus Make a 2D likelihood density plot.mp4 132.4 MB
- 16 - Project 6 Spectral analysis/005 Welch's method.mp4 130.9 MB
- 30 - Project 20 Cryptocurrency investing/003 Create a dataframe of selected coins.mp4 129.8 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/002 Import and normalize the cloud data.mp4 129.1 MB
- 19 - Project 9 Denoising noisy signals/002 Smoothing via running-mean filter.mp4 128.0 MB
- 29 - Project 19 Animate data/002 Wavey wavelets in plotly, part 1.mp4 127.4 MB
- 30 - Project 20 Cryptocurrency investing/002 Import and average data from one coin.mp4 126.0 MB
- 06 - Flow control/005 Initializing variables.mp4 125.9 MB
- 17 - Project 7 The colorful rainbow of noise/002 White and brown noise.mp4 122.4 MB
- 17 - Project 7 The colorful rainbow of noise/003 Pink and blue noise.mp4 120.7 MB
- 23 - Project 13 Index your Python code/003 Identify function calls.mp4 118.2 MB
- 26 - Project 16 Time-frequency analysis of EEG/004 Create a wavelet family.mp4 113.7 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/005 Cluster the data using t-SNE and k-means.mp4 113.5 MB
- 15 - Project 5 Statistics/003 T-test for acidity on wine quality.mp4 112.5 MB
- 06 - Flow control/009 Broadcasting in numpy.mp4 111.2 MB
- 28 - Project 18 Simulate a brain circuit/003 Create a circuit of 1000 neurons.mp4 110.3 MB
- 26 - Project 16 Time-frequency analysis of EEG/006 Wavelet convolution.mp4 109.4 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/003 Compute and inspect covariance matrices.mp4 109.2 MB
- 06 - Flow control/004 While loops.mp4 106.7 MB
- 29 - Project 19 Animate data/004 Wavey wavelets in matplotlib.mp4 105.4 MB
- 15 - Project 5 Statistics/004 Multiple regression.mp4 105.3 MB
- 16 - Project 6 Spectral analysis/003 Code the Fourier transform.mp4 104.9 MB
- 14 - Project 4 State-space trajectories/004 Run PCA and compute components.mp4 103.5 MB
- 19 - Project 9 Denoising noisy signals/004 Despeckling via median filter.mp4 102.7 MB
- 07 - Text and data visualization/007 Images.mp4 102.5 MB
- 28 - Project 18 Simulate a brain circuit/007 Bonus Separate excitation and inhibition.mp4 102.2 MB
- 21 - Project 11 Descriptive stats without numpy/003 Frequencies table.mp4 101.7 MB
- 11 - Project 1 Text search and replace/005 Bonus Readability of scrambled words.mp4 101.6 MB
- 07 - Text and data visualization/005 Adding annotations.mp4 101.1 MB
- 25 - Project 15 Data curve fitting/002 Fit a Gaussian.mp4 101.0 MB
- 06 - Flow control/006 Function error checking and handling.mp4 100.0 MB
- 28 - Project 18 Simulate a brain circuit/005 Visualize population activity.mp4 99.9 MB
- 05 - Functions/005 Creating functions.mp4 99.8 MB
- 11 - Project 1 Text search and replace/003 Remove formatting text.mp4 98.8 MB
- 13 - Project 3 Entropy of written English/006 Conditional (sequence) entropy.mp4 97.7 MB
- 24 - Project 14 Local minimum via gradient descent/003 Gradient descent.mp4 95.8 MB
- 20 - Project 10 Time series filtering/003 Notch out line noise.mp4 94.9 MB
- 12 - Project 2 The Law of Large Numbers/003 Monte Carlo sampling.mp4 93.9 MB
- 07 - Text and data visualization/003 Subplot geometry.mp4 93.5 MB
- 27 - Project 17 Interpolation and extrapolation/003 1D interpolation.mp4 93.1 MB
- 19 - Project 9 Denoising noisy signals/005 Denoise these biomedical data!.mp4 92.4 MB
- 25 - Project 15 Data curve fitting/006 Multivariate model-fitting.mp4 90.8 MB
- 18 - Project 8 Awesome mathy stuff/006 Eigenvalues on the complex circle.mp4 90.6 MB
- 15 - Project 5 Statistics/006 Bonus Transform to Gaussian.mp4 90.3 MB
- 05 - Functions/003 Python libraries (pandas).mp4 89.9 MB
- 18 - Project 8 Awesome mathy stuff/003 Euler's identity.mp4 89.8 MB
- 06 - Flow control/002 For loops.mp4 89.3 MB
- 07 - Text and data visualization/006 Seaborn.mp4 88.5 MB
- 23 - Project 13 Index your Python code/007 Bonus Which file has the most points.mp4 88.0 MB
- 15 - Project 5 Statistics/005 Logistic regression.mp4 87.3 MB
- 30 - Project 20 Cryptocurrency investing/001 Project overview and goals.mp4 86.4 MB
- 14 - Project 4 State-space trajectories/003 Create a channel covariance matrix.mp4 86.2 MB
- 18 - Project 8 Awesome mathy stuff/002 Pascal's triangle.mp4 85.8 MB
- 27 - Project 17 Interpolation and extrapolation/002 Downupsample a time series.mp4 84.2 MB
- 06 - Flow control/008 Single-line loops.mp4 83.5 MB
- 20 - Project 10 Time series filtering/002 Generate a signal with random noise.mp4 83.4 MB
- 21 - Project 11 Descriptive stats without numpy/006 Bonus Create a csv report file.mp4 82.6 MB
- 28 - Project 18 Simulate a brain circuit/002 Simulate one brain cell.mp4 79.2 MB
- 05 - Functions/007 Classes and object-oriented programming.mp4 79.2 MB
- 26 - Project 16 Time-frequency analysis of EEG/002 Real-valued Morlet wavelets.mp4 77.2 MB
- 28 - Project 18 Simulate a brain circuit/001 Project overview and goals.mp4 76.2 MB
- 03 - Data types/006 Booleans.mp4 75.4 MB
- 03 - Data types/004 Lists.mp4 74.7 MB
- 03 - Data types/001 Variables.mp4 74.6 MB
- 29 - Project 19 Animate data/003 Wavey wavelets in plotly, part 2.mp4 74.5 MB
- 20 - Project 10 Time series filtering/004 High-pass FIR filter.mp4 73.7 MB
- 16 - Project 6 Spectral analysis/004 Zero-padding the FFT.mp4 73.3 MB
- 10 - Download all course materials/002 Strategies for solving these projects.mp4 72.8 MB
- 07 - Text and data visualization/002 Plotting dots and lines.mp4 71.8 MB
- 11 - Project 1 Text search and replace/004 Replace 4-letter words and save to disk.mp4 70.6 MB
- 19 - Project 9 Denoising noisy signals/006 Bonus Highlight plot areas.mp4 70.5 MB
- 10 - Download all course materials/38871374-MasterPython-CodeAndData.zip 70.1 MB
- 03 - Data types/007 Dictionaries.mp4 68.7 MB
- 27 - Project 17 Interpolation and extrapolation/007 Bonus Draw a Necker cube.mp4 68.6 MB
- 13 - Project 3 Entropy of written English/002 Import text from the web.mp4 68.0 MB
- 13 - Project 3 Entropy of written English/003 Distribution of word lengths.mp4 67.3 MB
- 27 - Project 17 Interpolation and extrapolation/004 1D extrapolation.mp4 67.3 MB
- 20 - Project 10 Time series filtering/006 Bonus Desert landscape.mp4 65.4 MB
- 16 - Project 6 Spectral analysis/002 Simulate an AR process.mp4 65.2 MB
- 12 - Project 2 The Law of Large Numbers/002 Generate a population of random numbers.mp4 64.8 MB
- 05 - Functions/002 Python libraries (numpy).mp4 64.5 MB
- 17 - Project 7 The colorful rainbow of noise/004 The colorful spectral rainbow.mp4 64.2 MB
- 26 - Project 16 Time-frequency analysis of EEG/005 Import and visualize the data.mp4 64.0 MB
- 03 - Data types/003 Printing and inputting.mp4 64.0 MB
- 12 - Project 2 The Law of Large Numbers/005 Bonus The Central Limit Theorem.mp4 63.9 MB
- 30 - Project 20 Cryptocurrency investing/005 Simulating DCA investments (instructions).mp4 63.1 MB
- 26 - Project 16 Time-frequency analysis of EEG/008 Bonus Phase map with cyclic colormap.mp4 63.0 MB
- 05 - Functions/006 Global and local variable scopes.mp4 62.6 MB
- 18 - Project 8 Awesome mathy stuff/005 Time dilation in special relativity.mp4 60.7 MB
- 25 - Project 15 Data curve fitting/004 Use a user-defined function (sigmoid).mp4 59.6 MB
- 13 - Project 3 Entropy of written English/005 Letter entropy.mp4 58.9 MB
- 16 - Project 6 Spectral analysis/006 Bonus spectrogram.mp4 58.9 MB
- 01 - Introductions/002 Code a Sierpinski triangle!.mp4 58.0 MB
- 26 - Project 16 Time-frequency analysis of EEG/003 Complex-valued Morlet wavelets.mp4 56.6 MB
- 07 - Text and data visualization/008 Export plots in low and high resolution.mp4 55.9 MB
- 23 - Project 13 Index your Python code/002 Import multiple ipynb files.mp4 55.2 MB
- 13 - Project 3 Entropy of written English/004 Letter frequencies.mp4 54.7 MB
- 25 - Project 15 Data curve fitting/007 Bonus The eye of Sauron!.mp4 54.5 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/004 Determine the number of components using PCA.mp4 53.9 MB
- 04 - Indexing and slicing/001 Indexing.mp4 52.8 MB
- 23 - Project 13 Index your Python code/006 Create an alphabetized file list.mp4 52.8 MB
- 01 - Introductions/006 Index of functions in the course.mp4 52.3 MB
- 21 - Project 11 Descriptive stats without numpy/002 Mean and median.mp4 50.8 MB
- 21 - Project 11 Descriptive stats without numpy/004 Mode.mp4 50.1 MB
- 24 - Project 14 Local minimum via gradient descent/005 Bonus Visualize in 3D.mp4 49.9 MB
- 25 - Project 15 Data curve fitting/003 Fit an exponential decay.mp4 49.7 MB
- 06 - Flow control/007 Multiple inputs with zip.mp4 48.8 MB
- 03 - Data types/002 Math operators.mp4 48.5 MB
- 14 - Project 4 State-space trajectories/001 Project overview and goals.mp4 47.2 MB
- 20 - Project 10 Time series filtering/005 Low-pass IIR (Butterworth) filter.mp4 46.7 MB
- 14 - Project 4 State-space trajectories/006 Bonus Draw time using hues.mp4 46.7 MB
- 05 - Functions/004 Getting help on functions.mp4 46.6 MB
- 26 - Project 16 Time-frequency analysis of EEG/007 Create a time-frequency map.mp4 45.8 MB
- 26 - Project 16 Time-frequency analysis of EEG/001 Project overview and goals.mp4 45.4 MB
- 24 - Project 14 Local minimum via gradient descent/001 Project overview and goals.mp4 44.2 MB
- 01 - Introductions/001 Prerequisites and how to rock this course.mp4 44.1 MB
- 21 - Project 11 Descriptive stats without numpy/005 Standard deviation.mp4 43.6 MB
- 27 - Project 17 Interpolation and extrapolation/005 Resampling revisited.mp4 42.5 MB
- 25 - Project 15 Data curve fitting/005 Conjunctive model fitting.mp4 41.1 MB
- 16 - Project 6 Spectral analysis/001 Project overview and goals.mp4 39.9 MB
- 04 - Indexing and slicing/002 Slicing.mp4 38.6 MB
- 14 - Project 4 State-space trajectories/005 State-space trajectories.mp4 38.6 MB
- 03 - Data types/005 Tuples.mp4 37.0 MB
- 11 - Project 1 Text search and replace/002 Import a text file.mp4 35.6 MB
- 01 - Introductions/005 Using the Q&A forum.mp4 35.2 MB
- 24 - Project 14 Local minimum via gradient descent/002 The function and its derivative.mp4 34.7 MB
- 01 - Introductions/003 Python via Google colab.mp4 33.3 MB
- 06 - Flow control/003 Continue.mp4 32.8 MB
- 01 - Introductions/004 Local Jupyter notebooks via Anaconda.mp4 32.1 MB
- 13 - Project 3 Entropy of written English/001 Project overview and goals.mp4 31.6 MB
- 17 - Project 7 The colorful rainbow of noise/001 Project overview and goals.mp4 30.8 MB
- 20 - Project 10 Time series filtering/001 Project overview and goals.mp4 29.0 MB
- 10 - Download all course materials/001 IMPORTANT Download course materials.mp4 26.6 MB
- 18 - Project 8 Awesome mathy stuff/007 Bonus I heart math.mp4 25.5 MB
- 05 - Functions/001 Inputs and outputs.mp4 24.5 MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/001 Project overview and goals.mp4 24.2 MB
- 12 - Project 2 The Law of Large Numbers/001 Project overview and goals.mp4 23.0 MB
- 13 - Project 3 Entropy of written English/007 Bonus Make a word cloud.mp4 22.7 MB
- 15 - Project 5 Statistics/001 Project overview and goals.mp4 21.6 MB
- 17 - Project 7 The colorful rainbow of noise/005 Bonus How do they sound.mp4 19.9 MB
- 29 - Project 19 Animate data/001 Project overview and goals.mp4 16.9 MB
- 08 - A brief aside on sharing code/001 Getting code from githubgoogle-drive.mp4 15.9 MB
- 23 - Project 13 Index your Python code/005 Alphabetize the function list.mp4 15.2 MB
- 19 - Project 9 Denoising noisy signals/001 Project overview and goals.mp4 12.7 MB
- 27 - Project 17 Interpolation and extrapolation/001 Project overview and goals.mp4 12.3 MB
- 21 - Project 11 Descriptive stats without numpy/001 Project overview and goals.mp4 11.8 MB
- 25 - Project 15 Data curve fitting/001 Project overview and goals.mp4 10.6 MB
- 23 - Project 13 Index your Python code/001 Project overview and goals.mp4 9.6 MB
- 18 - Project 8 Awesome mathy stuff/001 Project overview and goals.mp4 5.3 MB
- 11 - Project 1 Text search and replace/001 Project overview and goals.mp4 5.2 MB
- 07 - Text and data visualization/009 Sierpinski pseudocode, part II.mp4 4.6 MB
- 19 - Project 9 Denoising noisy signals/003 Smoothing via Gaussian convolution_en.vtt 39.6 KB
- 30 - Project 20 Cryptocurrency investing/006 Simulating DCA investments (code)_en.vtt 31.6 KB
- 06 - Flow control/001 If-else statements_en.vtt 31.1 KB
- 29 - Project 19 Animate data/006 Bonus the wandering primes_en.vtt 30.4 KB
- 24 - Project 14 Local minimum via gradient descent/004 Repeat in 2D_en.vtt 29.9 KB
- 27 - Project 17 Interpolation and extrapolation/006 Fix corrupted image with interpolation_en.vtt 29.9 KB
- 07 - Text and data visualization/004 Making the graphs look nicer_en.vtt 29.4 KB
- 23 - Project 13 Index your Python code/004 Create an alphabetized function index_en.vtt 29.1 KB
- 30 - Project 20 Cryptocurrency investing/004 Data dimensionality via PCA_en.vtt 28.4 KB
- 19 - Project 9 Denoising noisy signals/002 Smoothing via running-mean filter_en.vtt 27.7 KB
- 30 - Project 20 Cryptocurrency investing/007 Bonus Which coin should you have bought_en.vtt 27.6 KB
- 28 - Project 18 Simulate a brain circuit/004 Simulate the neural circuit_en.vtt 27.6 KB
- 07 - Text and data visualization/001 fprintf and f-strings_en.vtt 27.3 KB
- 06 - Flow control/005 Initializing variables_en.vtt 26.9 KB
- 18 - Project 8 Awesome mathy stuff/004 Parameterized Gaussian_en.vtt 26.7 KB
- 29 - Project 19 Animate data/002 Wavey wavelets in plotly, part 1_en.vtt 26.6 KB
- 14 - Project 4 State-space trajectories/002 Import and clean the data_en.vtt 26.4 KB
- 30 - Project 20 Cryptocurrency investing/003 Create a dataframe of selected coins_en.vtt 26.3 KB
- 17 - Project 7 The colorful rainbow of noise/002 White and brown noise_en.vtt 26.0 KB
- 29 - Project 19 Animate data/005 Mobius transform in matplotlib_en.vtt 26.0 KB
- 16 - Project 6 Spectral analysis/005 Welch's method_en.vtt 25.6 KB
- 15 - Project 5 Statistics/002 Import and inspect the data_en.vtt 25.1 KB
- 01 - Introductions/28641931-MasPy-functionlist.xlsx 25.0 KB
- 06 - Flow control/009 Broadcasting in numpy_en.vtt 25.0 KB
- 30 - Project 20 Cryptocurrency investing/002 Import and average data from one coin_en.vtt 23.8 KB
- 19 - Project 9 Denoising noisy signals/004 Despeckling via median filter_en.vtt 23.6 KB
- 05 - Functions/005 Creating functions_en.vtt 23.4 KB
- 14 - Project 4 State-space trajectories/004 Run PCA and compute components_en.vtt 23.4 KB
- 15 - Project 5 Statistics/003 T-test for acidity on wine quality_en.vtt 23.3 KB
- 06 - Flow control/004 While loops_en.vtt 23.0 KB
- 23 - Project 13 Index your Python code/003 Identify function calls_en.vtt 22.6 KB
- 17 - Project 7 The colorful rainbow of noise/003 Pink and blue noise_en.vtt 22.4 KB
- 12 - Project 2 The Law of Large Numbers/004 Cumulative averaging_en.vtt 22.0 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/002 Import and normalize the cloud data_en.vtt 22.0 KB
- 07 - Text and data visualization/007 Images_en.vtt 21.5 KB
- 03 - Data types/001 Variables_en.vtt 21.5 KB
- 21 - Project 11 Descriptive stats without numpy/003 Frequencies table_en.vtt 21.4 KB
- 18 - Project 8 Awesome mathy stuff/002 Pascal's triangle_en.vtt 21.3 KB
- 06 - Flow control/006 Function error checking and handling_en.vtt 21.2 KB
- 24 - Project 14 Local minimum via gradient descent/003 Gradient descent_en.vtt 20.8 KB
- 06 - Flow control/002 For loops_en.vtt 20.4 KB
- 28 - Project 18 Simulate a brain circuit/006 Run some experiments!_en.vtt 20.4 KB
- 28 - Project 18 Simulate a brain circuit/003 Create a circuit of 1000 neurons_en.vtt 20.3 KB
- 18 - Project 8 Awesome mathy stuff/003 Euler's identity_en.vtt 20.3 KB
- 03 - Data types/004 Lists_en.vtt 20.2 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/006 Bonus Make a 2D likelihood density plot_en.vtt 20.2 KB
- 03 - Data types/006 Booleans_en.vtt 19.9 KB
- 16 - Project 6 Spectral analysis/003 Code the Fourier transform_en.vtt 19.7 KB
- 15 - Project 5 Statistics/006 Bonus Transform to Gaussian_en.vtt 19.6 KB
- 26 - Project 16 Time-frequency analysis of EEG/006 Wavelet convolution_en.vtt 19.5 KB
- 11 - Project 1 Text search and replace/005 Bonus Readability of scrambled words_en.vtt 19.3 KB
- 07 - Text and data visualization/005 Adding annotations_en.vtt 19.3 KB
- 13 - Project 3 Entropy of written English/006 Conditional (sequence) entropy_en.vtt 19.0 KB
- 26 - Project 16 Time-frequency analysis of EEG/004 Create a wavelet family_en.vtt 18.9 KB
- 07 - Text and data visualization/006 Seaborn_en.vtt 18.9 KB
- 06 - Flow control/008 Single-line loops_en.vtt 18.9 KB
- 07 - Text and data visualization/003 Subplot geometry_en.vtt 18.5 KB
- 25 - Project 15 Data curve fitting/002 Fit a Gaussian_en.vtt 18.5 KB
- 19 - Project 9 Denoising noisy signals/005 Denoise these biomedical data!_en.vtt 18.4 KB
- 28 - Project 18 Simulate a brain circuit/002 Simulate one brain cell_en.vtt 18.4 KB
- 23 - Project 13 Index your Python code/007 Bonus Which file has the most points_en.vtt 18.3 KB
- 05 - Functions/003 Python libraries (pandas)_en.vtt 18.2 KB
- 25 - Project 15 Data curve fitting/006 Multivariate model-fitting_en.vtt 18.2 KB
- 15 - Project 5 Statistics/005 Logistic regression_en.vtt 18.0 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/003 Compute and inspect covariance matrices_en.vtt 17.9 KB
- 18 - Project 8 Awesome mathy stuff/006 Eigenvalues on the complex circle_en.vtt 17.4 KB
- 27 - Project 17 Interpolation and extrapolation/003 1D interpolation_en.vtt 17.4 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/005 Cluster the data using t-SNE and k-means_en.vtt 17.4 KB
- 30 - Project 20 Cryptocurrency investing/001 Project overview and goals_en.vtt 17.3 KB
- 03 - Data types/007 Dictionaries_en.vtt 17.2 KB
- 20 - Project 10 Time series filtering/002 Generate a signal with random noise_en.vtt 17.0 KB
- 27 - Project 17 Interpolation and extrapolation/002 Downupsample a time series_en.vtt 16.9 KB
- 26 - Project 16 Time-frequency analysis of EEG/002 Real-valued Morlet wavelets_en.vtt 16.8 KB
- 15 - Project 5 Statistics/004 Multiple regression_en.vtt 16.6 KB
- 20 - Project 10 Time series filtering/003 Notch out line noise_en.vtt 16.6 KB
- 10 - Download all course materials/002 Strategies for solving these projects_en.vtt 16.3 KB
- 12 - Project 2 The Law of Large Numbers/003 Monte Carlo sampling_en.vtt 16.3 KB
- 07 - Text and data visualization/002 Plotting dots and lines_en.vtt 16.2 KB
- 11 - Project 1 Text search and replace/003 Remove formatting text_en.vtt 16.0 KB
- 27 - Project 17 Interpolation and extrapolation/007 Bonus Draw a Necker cube_en.vtt 15.9 KB
- 16 - Project 6 Spectral analysis/002 Simulate an AR process_en.vtt 15.6 KB
- 30 - Project 20 Cryptocurrency investing/005 Simulating DCA investments (instructions)_en.vtt 15.5 KB
- 29 - Project 19 Animate data/004 Wavey wavelets in matplotlib_en.vtt 15.4 KB
- 05 - Functions/002 Python libraries (numpy)_en.vtt 15.3 KB
- 16 - Project 6 Spectral analysis/004 Zero-padding the FFT_en.vtt 15.0 KB
- 05 - Functions/007 Classes and object-oriented programming_en.vtt 14.9 KB
- 28 - Project 18 Simulate a brain circuit/001 Project overview and goals_en.vtt 14.8 KB
- 13 - Project 3 Entropy of written English/003 Distribution of word lengths_en.vtt 14.4 KB
- 28 - Project 18 Simulate a brain circuit/005 Visualize population activity_en.vtt 14.2 KB
- 20 - Project 10 Time series filtering/004 High-pass FIR filter_en.vtt 14.0 KB
- 14 - Project 4 State-space trajectories/003 Create a channel covariance matrix_en.vtt 13.9 KB
- 03 - Data types/003 Printing and inputting_en.vtt 13.9 KB
- 01 - Introductions/002 Code a Sierpinski triangle!_en.vtt 13.8 KB
- 04 - Indexing and slicing/001 Indexing_en.vtt 13.6 KB
- 12 - Project 2 The Law of Large Numbers/002 Generate a population of random numbers_en.vtt 13.5 KB
- 19 - Project 9 Denoising noisy signals/006 Bonus Highlight plot areas_en.vtt 13.3 KB
- 16 - Project 6 Spectral analysis/006 Bonus spectrogram_en.vtt 13.3 KB
- 25 - Project 15 Data curve fitting/004 Use a user-defined function (sigmoid)_en.vtt 13.2 KB
- 05 - Functions/006 Global and local variable scopes_en.vtt 13.0 KB
- 03 - Data types/002 Math operators_en.vtt 13.0 KB
- 18 - Project 8 Awesome mathy stuff/005 Time dilation in special relativity_en.vtt 13.0 KB
- 26 - Project 16 Time-frequency analysis of EEG/005 Import and visualize the data_en.vtt 12.9 KB
- 28 - Project 18 Simulate a brain circuit/007 Bonus Separate excitation and inhibition_en.vtt 12.9 KB
- 21 - Project 11 Descriptive stats without numpy/006 Bonus Create a csv report file_en.vtt 12.9 KB
- 21 - Project 11 Descriptive stats without numpy/002 Mean and median_en.vtt 12.5 KB
- 20 - Project 10 Time series filtering/006 Bonus Desert landscape_en.vtt 12.5 KB
- 29 - Project 19 Animate data/003 Wavey wavelets in plotly, part 2_en.vtt 12.3 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/004 Determine the number of components using PCA_en.vtt 12.3 KB
- 17 - Project 7 The colorful rainbow of noise/004 The colorful spectral rainbow_en.vtt 12.2 KB
- 12 - Project 2 The Law of Large Numbers/005 Bonus The Central Limit Theorem_en.vtt 11.9 KB
- 13 - Project 3 Entropy of written English/004 Letter frequencies_en.vtt 11.8 KB
- 07 - Text and data visualization/008 Export plots in low and high resolution_en.vtt 11.3 KB
- 05 - Functions/004 Getting help on functions_en.vtt 11.2 KB
- 04 - Indexing and slicing/002 Slicing_en.vtt 11.2 KB
- 13 - Project 3 Entropy of written English/005 Letter entropy_en.vtt 11.2 KB
- 06 - Flow control/007 Multiple inputs with zip_en.vtt 11.1 KB
- 25 - Project 15 Data curve fitting/003 Fit an exponential decay_en.vtt 11.1 KB
- 11 - Project 1 Text search and replace/004 Replace 4-letter words and save to disk_en.vtt 11.1 KB
- 21 - Project 11 Descriptive stats without numpy/004 Mode_en.vtt 11.0 KB
- 23 - Project 13 Index your Python code/002 Import multiple ipynb files_en.vtt 10.8 KB
- 26 - Project 16 Time-frequency analysis of EEG/003 Complex-valued Morlet wavelets_en.vtt 10.8 KB
- 14 - Project 4 State-space trajectories/001 Project overview and goals_en.vtt 10.8 KB
- 25 - Project 15 Data curve fitting/007 Bonus The eye of Sauron!_en.vtt 10.5 KB
- 20 - Project 10 Time series filtering/005 Low-pass IIR (Butterworth) filter_en.vtt 10.4 KB
- 13 - Project 3 Entropy of written English/002 Import text from the web_en.vtt 10.1 KB
- 21 - Project 11 Descriptive stats without numpy/005 Standard deviation_en.vtt 10.1 KB
- 27 - Project 17 Interpolation and extrapolation/004 1D extrapolation_en.vtt 10.1 KB
- 24 - Project 14 Local minimum via gradient descent/005 Bonus Visualize in 3D_en.vtt 10.0 KB
- 16 - Project 6 Spectral analysis/001 Project overview and goals_en.vtt 9.6 KB
- 23 - Project 13 Index your Python code/006 Create an alphabetized file list_en.vtt 9.5 KB
- 24 - Project 14 Local minimum via gradient descent/002 The function and its derivative_en.vtt 9.5 KB
- 14 - Project 4 State-space trajectories/006 Bonus Draw time using hues_en.vtt 9.2 KB
- 25 - Project 15 Data curve fitting/005 Conjunctive model fitting_en.vtt 9.0 KB
- 01 - Introductions/001 Prerequisites and how to rock this course_en.vtt 8.8 KB
- 03 - Data types/005 Tuples_en.vtt 8.8 KB
- 06 - Flow control/003 Continue_en.vtt 8.6 KB
- 26 - Project 16 Time-frequency analysis of EEG/007 Create a time-frequency map_en.vtt 8.5 KB
- 27 - Project 17 Interpolation and extrapolation/005 Resampling revisited_en.vtt 8.3 KB
- 14 - Project 4 State-space trajectories/005 State-space trajectories_en.vtt 8.1 KB
- 24 - Project 14 Local minimum via gradient descent/001 Project overview and goals_en.vtt 7.8 KB
- 11 - Project 1 Text search and replace/002 Import a text file_en.vtt 7.8 KB
- 20 - Project 10 Time series filtering/001 Project overview and goals_en.vtt 7.7 KB
- 13 - Project 3 Entropy of written English/001 Project overview and goals_en.vtt 7.2 KB
- 01 - Introductions/004 Local Jupyter notebooks via Anaconda_en.vtt 7.2 KB
- 01 - Introductions/003 Python via Google colab_en.vtt 7.1 KB
- 26 - Project 16 Time-frequency analysis of EEG/001 Project overview and goals_en.vtt 7.0 KB
- 01 - Introductions/005 Using the Q&A forum_en.vtt 6.8 KB
- 26 - Project 16 Time-frequency analysis of EEG/008 Bonus Phase map with cyclic colormap_en.vtt 6.8 KB
- 17 - Project 7 The colorful rainbow of noise/001 Project overview and goals_en.vtt 6.6 KB
- 05 - Functions/001 Inputs and outputs_en.vtt 6.5 KB
- 01 - Introductions/006 Index of functions in the course_en.vtt 5.7 KB
- 17 - Project 7 The colorful rainbow of noise/005 Bonus How do they sound_en.vtt 5.3 KB
- 18 - Project 8 Awesome mathy stuff/007 Bonus I heart math_en.vtt 5.2 KB
- 12 - Project 2 The Law of Large Numbers/001 Project overview and goals_en.vtt 5.1 KB
- 10 - Download all course materials/001 IMPORTANT Download course materials_en.vtt 4.8 KB
- 27 - Project 17 Interpolation and extrapolation/001 Project overview and goals_en.vtt 4.0 KB
- 31 - Bonus/001 Bonus.html 3.6 KB
- 13 - Project 3 Entropy of written English/007 Bonus Make a word cloud_en.vtt 3.5 KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/001 Project overview and goals_en.vtt 3.5 KB
- 08 - A brief aside on sharing code/001 Getting code from githubgoogle-drive_en.vtt 3.5 KB
- 15 - Project 5 Statistics/001 Project overview and goals_en.vtt 3.4 KB
- 19 - Project 9 Denoising noisy signals/001 Project overview and goals_en.vtt 3.0 KB
- 29 - Project 19 Animate data/001 Project overview and goals_en.vtt 2.8 KB
- 23 - Project 13 Index your Python code/005 Alphabetize the function list_en.vtt 2.3 KB
- 25 - Project 15 Data curve fitting/001 Project overview and goals_en.vtt 2.3 KB
- 21 - Project 11 Descriptive stats without numpy/001 Project overview and goals_en.vtt 2.2 KB
- 23 - Project 13 Index your Python code/001 Project overview and goals_en.vtt 1.7 KB
- 07 - Text and data visualization/009 Sierpinski pseudocode, part II_en.vtt 1.7 KB
- 18 - Project 8 Awesome mathy stuff/001 Project overview and goals_en.vtt 1.3 KB
- 11 - Project 1 Text search and replace/001 Project overview and goals_en.vtt 1.0 KB
- 02 - ------------ Part 1 The basics ------------/001 Part 1 The basics.html 142 bytes
- 14 - Project 4 State-space trajectories/[Tutorialsplanet.NET].url 128 bytes
- 25 - Project 15 Data curve fitting/[Tutorialsplanet.NET].url 128 bytes
- 31 - Bonus/[Tutorialsplanet.NET].url 128 bytes
- [Tutorialsplanet.NET].url 128 bytes
- 09 - ------------ Part 2 The projects ------------/001 Part 2 The projects.html 113 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.