[] Udemy - Master Python programming by solving scientific projects
- 收录时间:2023-05-02 03:08:20
- 文件大小:13GB
- 下载次数:1
- 最近下载:2023-05-02 03:08:20
- 磁力链接:
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文件列表
- 19 - Project 9 Denoising noisy signals/003 Smoothing via Gaussian convolution.mp4 211MB
- 27 - Project 17 Interpolation and extrapolation/006 Fix corrupted image with interpolation.mp4 184MB
- 30 - Project 20 Cryptocurrency investing/006 Simulating DCA investments (code).mp4 179MB
- 28 - Project 18 Simulate a brain circuit/004 Simulate the neural circuit.mp4 176MB
- 24 - Project 14 Local minimum via gradient descent/004 Repeat in 2D.mp4 153MB
- 06 - Flow control/001 If-else statements.mp4 153MB
- 23 - Project 13 Index your Python code/004 Create an alphabetized function index.mp4 152MB
- 29 - Project 19 Animate data/006 Bonus the wandering primes.mp4 149MB
- 28 - Project 18 Simulate a brain circuit/006 Run some experiments!.mp4 148MB
- 14 - Project 4 State-space trajectories/002 Import and clean the data.mp4 148MB
- 12 - Project 2 The Law of Large Numbers/004 Cumulative averaging.mp4 142MB
- 07 - Text and data visualization/001 fprintf and f-strings.mp4 140MB
- 15 - Project 5 Statistics/002 Import and inspect the data.mp4 138MB
- 30 - Project 20 Cryptocurrency investing/007 Bonus Which coin should you have bought.mp4 137MB
- 07 - Text and data visualization/004 Making the graphs look nicer.mp4 136MB
- 29 - Project 19 Animate data/005 Mobius transform in matplotlib.mp4 136MB
- 18 - Project 8 Awesome mathy stuff/004 Parameterized Gaussian.mp4 135MB
- 30 - Project 20 Cryptocurrency investing/004 Data dimensionality via PCA.mp4 133MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/006 Bonus Make a 2D likelihood density plot.mp4 132MB
- 16 - Project 6 Spectral analysis/005 Welch's method.mp4 131MB
- 30 - Project 20 Cryptocurrency investing/003 Create a dataframe of selected coins.mp4 130MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/002 Import and normalize the cloud data.mp4 129MB
- 19 - Project 9 Denoising noisy signals/002 Smoothing via running-mean filter.mp4 128MB
- 29 - Project 19 Animate data/002 Wavey wavelets in plotly, part 1.mp4 127MB
- 30 - Project 20 Cryptocurrency investing/002 Import and average data from one coin.mp4 126MB
- 06 - Flow control/005 Initializing variables.mp4 126MB
- 17 - Project 7 The colorful rainbow of noise/002 White and brown noise.mp4 122MB
- 17 - Project 7 The colorful rainbow of noise/003 Pink and blue noise.mp4 121MB
- 23 - Project 13 Index your Python code/003 Identify function calls.mp4 118MB
- 26 - Project 16 Time-frequency analysis of EEG/004 Create a wavelet family.mp4 114MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/005 Cluster the data using t-SNE and k-means.mp4 113MB
- 15 - Project 5 Statistics/003 T-test for acidity on wine quality.mp4 113MB
- 06 - Flow control/009 Broadcasting in numpy.mp4 111MB
- 28 - Project 18 Simulate a brain circuit/003 Create a circuit of 1000 neurons.mp4 110MB
- 26 - Project 16 Time-frequency analysis of EEG/006 Wavelet convolution.mp4 109MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/003 Compute and inspect covariance matrices.mp4 109MB
- 06 - Flow control/004 While loops.mp4 107MB
- 29 - Project 19 Animate data/004 Wavey wavelets in matplotlib.mp4 105MB
- 15 - Project 5 Statistics/004 Multiple regression.mp4 105MB
- 16 - Project 6 Spectral analysis/003 Code the Fourier transform.mp4 105MB
- 14 - Project 4 State-space trajectories/004 Run PCA and compute components.mp4 103MB
- 19 - Project 9 Denoising noisy signals/004 Despeckling via median filter.mp4 103MB
- 07 - Text and data visualization/007 Images.mp4 103MB
- 28 - Project 18 Simulate a brain circuit/007 Bonus Separate excitation and inhibition.mp4 102MB
- 21 - Project 11 Descriptive stats without numpy/003 Frequencies table.mp4 102MB
- 11 - Project 1 Text search and replace/005 Bonus Readability of scrambled words.mp4 102MB
- 07 - Text and data visualization/005 Adding annotations.mp4 101MB
- 25 - Project 15 Data curve fitting/002 Fit a Gaussian.mp4 101MB
- 06 - Flow control/006 Function error checking and handling.mp4 100MB
- 28 - Project 18 Simulate a brain circuit/005 Visualize population activity.mp4 100MB
- 05 - Functions/005 Creating functions.mp4 100MB
- 11 - Project 1 Text search and replace/003 Remove formatting text.mp4 99MB
- 13 - Project 3 Entropy of written English/006 Conditional (sequence) entropy.mp4 98MB
- 24 - Project 14 Local minimum via gradient descent/003 Gradient descent.mp4 96MB
- 20 - Project 10 Time series filtering/003 Notch out line noise.mp4 95MB
- 12 - Project 2 The Law of Large Numbers/003 Monte Carlo sampling.mp4 94MB
- 07 - Text and data visualization/003 Subplot geometry.mp4 93MB
- 27 - Project 17 Interpolation and extrapolation/003 1D interpolation.mp4 93MB
- 19 - Project 9 Denoising noisy signals/005 Denoise these biomedical data!.mp4 92MB
- 25 - Project 15 Data curve fitting/006 Multivariate model-fitting.mp4 91MB
- 18 - Project 8 Awesome mathy stuff/006 Eigenvalues on the complex circle.mp4 91MB
- 15 - Project 5 Statistics/006 Bonus Transform to Gaussian.mp4 90MB
- 05 - Functions/003 Python libraries (pandas).mp4 90MB
- 18 - Project 8 Awesome mathy stuff/003 Euler's identity.mp4 90MB
- 06 - Flow control/002 For loops.mp4 89MB
- 07 - Text and data visualization/006 Seaborn.mp4 89MB
- 23 - Project 13 Index your Python code/007 Bonus Which file has the most points.mp4 88MB
- 15 - Project 5 Statistics/005 Logistic regression.mp4 87MB
- 30 - Project 20 Cryptocurrency investing/001 Project overview and goals.mp4 86MB
- 14 - Project 4 State-space trajectories/003 Create a channel covariance matrix.mp4 86MB
- 18 - Project 8 Awesome mathy stuff/002 Pascal's triangle.mp4 86MB
- 27 - Project 17 Interpolation and extrapolation/002 Downupsample a time series.mp4 84MB
- 06 - Flow control/008 Single-line loops.mp4 84MB
- 20 - Project 10 Time series filtering/002 Generate a signal with random noise.mp4 83MB
- 21 - Project 11 Descriptive stats without numpy/006 Bonus Create a csv report file.mp4 83MB
- 28 - Project 18 Simulate a brain circuit/002 Simulate one brain cell.mp4 79MB
- 05 - Functions/007 Classes and object-oriented programming.mp4 79MB
- 26 - Project 16 Time-frequency analysis of EEG/002 Real-valued Morlet wavelets.mp4 77MB
- 28 - Project 18 Simulate a brain circuit/001 Project overview and goals.mp4 76MB
- 03 - Data types/006 Booleans.mp4 75MB
- 03 - Data types/004 Lists.mp4 75MB
- 03 - Data types/001 Variables.mp4 75MB
- 29 - Project 19 Animate data/003 Wavey wavelets in plotly, part 2.mp4 75MB
- 20 - Project 10 Time series filtering/004 High-pass FIR filter.mp4 74MB
- 16 - Project 6 Spectral analysis/004 Zero-padding the FFT.mp4 73MB
- 10 - Download all course materials/002 Strategies for solving these projects.mp4 73MB
- 07 - Text and data visualization/002 Plotting dots and lines.mp4 72MB
- 11 - Project 1 Text search and replace/004 Replace 4-letter words and save to disk.mp4 71MB
- 19 - Project 9 Denoising noisy signals/006 Bonus Highlight plot areas.mp4 70MB
- 10 - Download all course materials/38871374-MasterPython-CodeAndData.zip 70MB
- 03 - Data types/007 Dictionaries.mp4 69MB
- 27 - Project 17 Interpolation and extrapolation/007 Bonus Draw a Necker cube.mp4 69MB
- 13 - Project 3 Entropy of written English/002 Import text from the web.mp4 68MB
- 13 - Project 3 Entropy of written English/003 Distribution of word lengths.mp4 67MB
- 27 - Project 17 Interpolation and extrapolation/004 1D extrapolation.mp4 67MB
- 20 - Project 10 Time series filtering/006 Bonus Desert landscape.mp4 65MB
- 16 - Project 6 Spectral analysis/002 Simulate an AR process.mp4 65MB
- 12 - Project 2 The Law of Large Numbers/002 Generate a population of random numbers.mp4 65MB
- 05 - Functions/002 Python libraries (numpy).mp4 64MB
- 17 - Project 7 The colorful rainbow of noise/004 The colorful spectral rainbow.mp4 64MB
- 26 - Project 16 Time-frequency analysis of EEG/005 Import and visualize the data.mp4 64MB
- 03 - Data types/003 Printing and inputting.mp4 64MB
- 12 - Project 2 The Law of Large Numbers/005 Bonus The Central Limit Theorem.mp4 64MB
- 30 - Project 20 Cryptocurrency investing/005 Simulating DCA investments (instructions).mp4 63MB
- 26 - Project 16 Time-frequency analysis of EEG/008 Bonus Phase map with cyclic colormap.mp4 63MB
- 05 - Functions/006 Global and local variable scopes.mp4 63MB
- 18 - Project 8 Awesome mathy stuff/005 Time dilation in special relativity.mp4 61MB
- 25 - Project 15 Data curve fitting/004 Use a user-defined function (sigmoid).mp4 60MB
- 13 - Project 3 Entropy of written English/005 Letter entropy.mp4 59MB
- 16 - Project 6 Spectral analysis/006 Bonus spectrogram.mp4 59MB
- 01 - Introductions/002 Code a Sierpinski triangle!.mp4 58MB
- 26 - Project 16 Time-frequency analysis of EEG/003 Complex-valued Morlet wavelets.mp4 57MB
- 07 - Text and data visualization/008 Export plots in low and high resolution.mp4 56MB
- 23 - Project 13 Index your Python code/002 Import multiple ipynb files.mp4 55MB
- 13 - Project 3 Entropy of written English/004 Letter frequencies.mp4 55MB
- 25 - Project 15 Data curve fitting/007 Bonus The eye of Sauron!.mp4 54MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/004 Determine the number of components using PCA.mp4 54MB
- 04 - Indexing and slicing/001 Indexing.mp4 53MB
- 23 - Project 13 Index your Python code/006 Create an alphabetized file list.mp4 53MB
- 01 - Introductions/006 Index of functions in the course.mp4 52MB
- 21 - Project 11 Descriptive stats without numpy/002 Mean and median.mp4 51MB
- 21 - Project 11 Descriptive stats without numpy/004 Mode.mp4 50MB
- 24 - Project 14 Local minimum via gradient descent/005 Bonus Visualize in 3D.mp4 50MB
- 25 - Project 15 Data curve fitting/003 Fit an exponential decay.mp4 50MB
- 06 - Flow control/007 Multiple inputs with zip.mp4 49MB
- 03 - Data types/002 Math operators.mp4 48MB
- 14 - Project 4 State-space trajectories/001 Project overview and goals.mp4 47MB
- 20 - Project 10 Time series filtering/005 Low-pass IIR (Butterworth) filter.mp4 47MB
- 14 - Project 4 State-space trajectories/006 Bonus Draw time using hues.mp4 47MB
- 05 - Functions/004 Getting help on functions.mp4 47MB
- 26 - Project 16 Time-frequency analysis of EEG/007 Create a time-frequency map.mp4 46MB
- 26 - Project 16 Time-frequency analysis of EEG/001 Project overview and goals.mp4 45MB
- 24 - Project 14 Local minimum via gradient descent/001 Project overview and goals.mp4 44MB
- 01 - Introductions/001 Prerequisites and how to rock this course.mp4 44MB
- 21 - Project 11 Descriptive stats without numpy/005 Standard deviation.mp4 44MB
- 27 - Project 17 Interpolation and extrapolation/005 Resampling revisited.mp4 43MB
- 25 - Project 15 Data curve fitting/005 Conjunctive model fitting.mp4 41MB
- 16 - Project 6 Spectral analysis/001 Project overview and goals.mp4 40MB
- 04 - Indexing and slicing/002 Slicing.mp4 39MB
- 14 - Project 4 State-space trajectories/005 State-space trajectories.mp4 39MB
- 03 - Data types/005 Tuples.mp4 37MB
- 11 - Project 1 Text search and replace/002 Import a text file.mp4 36MB
- 01 - Introductions/005 Using the Q&A forum.mp4 35MB
- 24 - Project 14 Local minimum via gradient descent/002 The function and its derivative.mp4 35MB
- 01 - Introductions/003 Python via Google colab.mp4 33MB
- 06 - Flow control/003 Continue.mp4 33MB
- 01 - Introductions/004 Local Jupyter notebooks via Anaconda.mp4 32MB
- 13 - Project 3 Entropy of written English/001 Project overview and goals.mp4 32MB
- 17 - Project 7 The colorful rainbow of noise/001 Project overview and goals.mp4 31MB
- 20 - Project 10 Time series filtering/001 Project overview and goals.mp4 29MB
- 10 - Download all course materials/001 IMPORTANT Download course materials.mp4 27MB
- 18 - Project 8 Awesome mathy stuff/007 Bonus I heart math.mp4 25MB
- 05 - Functions/001 Inputs and outputs.mp4 25MB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/001 Project overview and goals.mp4 24MB
- 12 - Project 2 The Law of Large Numbers/001 Project overview and goals.mp4 23MB
- 13 - Project 3 Entropy of written English/007 Bonus Make a word cloud.mp4 23MB
- 15 - Project 5 Statistics/001 Project overview and goals.mp4 22MB
- 17 - Project 7 The colorful rainbow of noise/005 Bonus How do they sound.mp4 20MB
- 29 - Project 19 Animate data/001 Project overview and goals.mp4 17MB
- 08 - A brief aside on sharing code/001 Getting code from githubgoogle-drive.mp4 16MB
- 23 - Project 13 Index your Python code/005 Alphabetize the function list.mp4 15MB
- 19 - Project 9 Denoising noisy signals/001 Project overview and goals.mp4 13MB
- 27 - Project 17 Interpolation and extrapolation/001 Project overview and goals.mp4 12MB
- 21 - Project 11 Descriptive stats without numpy/001 Project overview and goals.mp4 12MB
- 25 - Project 15 Data curve fitting/001 Project overview and goals.mp4 11MB
- 23 - Project 13 Index your Python code/001 Project overview and goals.mp4 10MB
- 18 - Project 8 Awesome mathy stuff/001 Project overview and goals.mp4 5MB
- 11 - Project 1 Text search and replace/001 Project overview and goals.mp4 5MB
- 07 - Text and data visualization/009 Sierpinski pseudocode, part II.mp4 5MB
- 19 - Project 9 Denoising noisy signals/003 Smoothing via Gaussian convolution_en.vtt 40KB
- 30 - Project 20 Cryptocurrency investing/006 Simulating DCA investments (code)_en.vtt 32KB
- 06 - Flow control/001 If-else statements_en.vtt 31KB
- 29 - Project 19 Animate data/006 Bonus the wandering primes_en.vtt 30KB
- 24 - Project 14 Local minimum via gradient descent/004 Repeat in 2D_en.vtt 30KB
- 27 - Project 17 Interpolation and extrapolation/006 Fix corrupted image with interpolation_en.vtt 30KB
- 07 - Text and data visualization/004 Making the graphs look nicer_en.vtt 29KB
- 23 - Project 13 Index your Python code/004 Create an alphabetized function index_en.vtt 29KB
- 30 - Project 20 Cryptocurrency investing/004 Data dimensionality via PCA_en.vtt 28KB
- 19 - Project 9 Denoising noisy signals/002 Smoothing via running-mean filter_en.vtt 28KB
- 30 - Project 20 Cryptocurrency investing/007 Bonus Which coin should you have bought_en.vtt 28KB
- 28 - Project 18 Simulate a brain circuit/004 Simulate the neural circuit_en.vtt 28KB
- 07 - Text and data visualization/001 fprintf and f-strings_en.vtt 27KB
- 06 - Flow control/005 Initializing variables_en.vtt 27KB
- 18 - Project 8 Awesome mathy stuff/004 Parameterized Gaussian_en.vtt 27KB
- 29 - Project 19 Animate data/002 Wavey wavelets in plotly, part 1_en.vtt 27KB
- 14 - Project 4 State-space trajectories/002 Import and clean the data_en.vtt 26KB
- 30 - Project 20 Cryptocurrency investing/003 Create a dataframe of selected coins_en.vtt 26KB
- 17 - Project 7 The colorful rainbow of noise/002 White and brown noise_en.vtt 26KB
- 29 - Project 19 Animate data/005 Mobius transform in matplotlib_en.vtt 26KB
- 16 - Project 6 Spectral analysis/005 Welch's method_en.vtt 26KB
- 15 - Project 5 Statistics/002 Import and inspect the data_en.vtt 25KB
- 01 - Introductions/28641931-MasPy-functionlist.xlsx 25KB
- 06 - Flow control/009 Broadcasting in numpy_en.vtt 25KB
- 30 - Project 20 Cryptocurrency investing/002 Import and average data from one coin_en.vtt 24KB
- 19 - Project 9 Denoising noisy signals/004 Despeckling via median filter_en.vtt 24KB
- 05 - Functions/005 Creating functions_en.vtt 23KB
- 14 - Project 4 State-space trajectories/004 Run PCA and compute components_en.vtt 23KB
- 15 - Project 5 Statistics/003 T-test for acidity on wine quality_en.vtt 23KB
- 06 - Flow control/004 While loops_en.vtt 23KB
- 23 - Project 13 Index your Python code/003 Identify function calls_en.vtt 23KB
- 17 - Project 7 The colorful rainbow of noise/003 Pink and blue noise_en.vtt 22KB
- 12 - Project 2 The Law of Large Numbers/004 Cumulative averaging_en.vtt 22KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/002 Import and normalize the cloud data_en.vtt 22KB
- 07 - Text and data visualization/007 Images_en.vtt 22KB
- 03 - Data types/001 Variables_en.vtt 22KB
- 21 - Project 11 Descriptive stats without numpy/003 Frequencies table_en.vtt 21KB
- 18 - Project 8 Awesome mathy stuff/002 Pascal's triangle_en.vtt 21KB
- 06 - Flow control/006 Function error checking and handling_en.vtt 21KB
- 24 - Project 14 Local minimum via gradient descent/003 Gradient descent_en.vtt 21KB
- 06 - Flow control/002 For loops_en.vtt 20KB
- 28 - Project 18 Simulate a brain circuit/006 Run some experiments!_en.vtt 20KB
- 28 - Project 18 Simulate a brain circuit/003 Create a circuit of 1000 neurons_en.vtt 20KB
- 18 - Project 8 Awesome mathy stuff/003 Euler's identity_en.vtt 20KB
- 03 - Data types/004 Lists_en.vtt 20KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/006 Bonus Make a 2D likelihood density plot_en.vtt 20KB
- 03 - Data types/006 Booleans_en.vtt 20KB
- 16 - Project 6 Spectral analysis/003 Code the Fourier transform_en.vtt 20KB
- 15 - Project 5 Statistics/006 Bonus Transform to Gaussian_en.vtt 20KB
- 26 - Project 16 Time-frequency analysis of EEG/006 Wavelet convolution_en.vtt 20KB
- 11 - Project 1 Text search and replace/005 Bonus Readability of scrambled words_en.vtt 19KB
- 07 - Text and data visualization/005 Adding annotations_en.vtt 19KB
- 13 - Project 3 Entropy of written English/006 Conditional (sequence) entropy_en.vtt 19KB
- 26 - Project 16 Time-frequency analysis of EEG/004 Create a wavelet family_en.vtt 19KB
- 07 - Text and data visualization/006 Seaborn_en.vtt 19KB
- 06 - Flow control/008 Single-line loops_en.vtt 19KB
- 07 - Text and data visualization/003 Subplot geometry_en.vtt 18KB
- 25 - Project 15 Data curve fitting/002 Fit a Gaussian_en.vtt 18KB
- 19 - Project 9 Denoising noisy signals/005 Denoise these biomedical data!_en.vtt 18KB
- 28 - Project 18 Simulate a brain circuit/002 Simulate one brain cell_en.vtt 18KB
- 23 - Project 13 Index your Python code/007 Bonus Which file has the most points_en.vtt 18KB
- 05 - Functions/003 Python libraries (pandas)_en.vtt 18KB
- 25 - Project 15 Data curve fitting/006 Multivariate model-fitting_en.vtt 18KB
- 15 - Project 5 Statistics/005 Logistic regression_en.vtt 18KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/003 Compute and inspect covariance matrices_en.vtt 18KB
- 18 - Project 8 Awesome mathy stuff/006 Eigenvalues on the complex circle_en.vtt 17KB
- 27 - Project 17 Interpolation and extrapolation/003 1D interpolation_en.vtt 17KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/005 Cluster the data using t-SNE and k-means_en.vtt 17KB
- 30 - Project 20 Cryptocurrency investing/001 Project overview and goals_en.vtt 17KB
- 03 - Data types/007 Dictionaries_en.vtt 17KB
- 20 - Project 10 Time series filtering/002 Generate a signal with random noise_en.vtt 17KB
- 27 - Project 17 Interpolation and extrapolation/002 Downupsample a time series_en.vtt 17KB
- 26 - Project 16 Time-frequency analysis of EEG/002 Real-valued Morlet wavelets_en.vtt 17KB
- 15 - Project 5 Statistics/004 Multiple regression_en.vtt 17KB
- 20 - Project 10 Time series filtering/003 Notch out line noise_en.vtt 17KB
- 10 - Download all course materials/002 Strategies for solving these projects_en.vtt 16KB
- 12 - Project 2 The Law of Large Numbers/003 Monte Carlo sampling_en.vtt 16KB
- 07 - Text and data visualization/002 Plotting dots and lines_en.vtt 16KB
- 11 - Project 1 Text search and replace/003 Remove formatting text_en.vtt 16KB
- 27 - Project 17 Interpolation and extrapolation/007 Bonus Draw a Necker cube_en.vtt 16KB
- 16 - Project 6 Spectral analysis/002 Simulate an AR process_en.vtt 16KB
- 30 - Project 20 Cryptocurrency investing/005 Simulating DCA investments (instructions)_en.vtt 16KB
- 29 - Project 19 Animate data/004 Wavey wavelets in matplotlib_en.vtt 15KB
- 05 - Functions/002 Python libraries (numpy)_en.vtt 15KB
- 16 - Project 6 Spectral analysis/004 Zero-padding the FFT_en.vtt 15KB
- 05 - Functions/007 Classes and object-oriented programming_en.vtt 15KB
- 28 - Project 18 Simulate a brain circuit/001 Project overview and goals_en.vtt 15KB
- 13 - Project 3 Entropy of written English/003 Distribution of word lengths_en.vtt 14KB
- 28 - Project 18 Simulate a brain circuit/005 Visualize population activity_en.vtt 14KB
- 20 - Project 10 Time series filtering/004 High-pass FIR filter_en.vtt 14KB
- 14 - Project 4 State-space trajectories/003 Create a channel covariance matrix_en.vtt 14KB
- 03 - Data types/003 Printing and inputting_en.vtt 14KB
- 01 - Introductions/002 Code a Sierpinski triangle!_en.vtt 14KB
- 04 - Indexing and slicing/001 Indexing_en.vtt 14KB
- 12 - Project 2 The Law of Large Numbers/002 Generate a population of random numbers_en.vtt 13KB
- 19 - Project 9 Denoising noisy signals/006 Bonus Highlight plot areas_en.vtt 13KB
- 16 - Project 6 Spectral analysis/006 Bonus spectrogram_en.vtt 13KB
- 25 - Project 15 Data curve fitting/004 Use a user-defined function (sigmoid)_en.vtt 13KB
- 05 - Functions/006 Global and local variable scopes_en.vtt 13KB
- 03 - Data types/002 Math operators_en.vtt 13KB
- 18 - Project 8 Awesome mathy stuff/005 Time dilation in special relativity_en.vtt 13KB
- 26 - Project 16 Time-frequency analysis of EEG/005 Import and visualize the data_en.vtt 13KB
- 28 - Project 18 Simulate a brain circuit/007 Bonus Separate excitation and inhibition_en.vtt 13KB
- 21 - Project 11 Descriptive stats without numpy/006 Bonus Create a csv report file_en.vtt 13KB
- 21 - Project 11 Descriptive stats without numpy/002 Mean and median_en.vtt 13KB
- 20 - Project 10 Time series filtering/006 Bonus Desert landscape_en.vtt 12KB
- 29 - Project 19 Animate data/003 Wavey wavelets in plotly, part 2_en.vtt 12KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/004 Determine the number of components using PCA_en.vtt 12KB
- 17 - Project 7 The colorful rainbow of noise/004 The colorful spectral rainbow_en.vtt 12KB
- 12 - Project 2 The Law of Large Numbers/005 Bonus The Central Limit Theorem_en.vtt 12KB
- 13 - Project 3 Entropy of written English/004 Letter frequencies_en.vtt 12KB
- 07 - Text and data visualization/008 Export plots in low and high resolution_en.vtt 11KB
- 05 - Functions/004 Getting help on functions_en.vtt 11KB
- 04 - Indexing and slicing/002 Slicing_en.vtt 11KB
- 13 - Project 3 Entropy of written English/005 Letter entropy_en.vtt 11KB
- 06 - Flow control/007 Multiple inputs with zip_en.vtt 11KB
- 25 - Project 15 Data curve fitting/003 Fit an exponential decay_en.vtt 11KB
- 11 - Project 1 Text search and replace/004 Replace 4-letter words and save to disk_en.vtt 11KB
- 21 - Project 11 Descriptive stats without numpy/004 Mode_en.vtt 11KB
- 23 - Project 13 Index your Python code/002 Import multiple ipynb files_en.vtt 11KB
- 26 - Project 16 Time-frequency analysis of EEG/003 Complex-valued Morlet wavelets_en.vtt 11KB
- 14 - Project 4 State-space trajectories/001 Project overview and goals_en.vtt 11KB
- 25 - Project 15 Data curve fitting/007 Bonus The eye of Sauron!_en.vtt 10KB
- 20 - Project 10 Time series filtering/005 Low-pass IIR (Butterworth) filter_en.vtt 10KB
- 13 - Project 3 Entropy of written English/002 Import text from the web_en.vtt 10KB
- 21 - Project 11 Descriptive stats without numpy/005 Standard deviation_en.vtt 10KB
- 27 - Project 17 Interpolation and extrapolation/004 1D extrapolation_en.vtt 10KB
- 24 - Project 14 Local minimum via gradient descent/005 Bonus Visualize in 3D_en.vtt 10KB
- 16 - Project 6 Spectral analysis/001 Project overview and goals_en.vtt 10KB
- 23 - Project 13 Index your Python code/006 Create an alphabetized file list_en.vtt 10KB
- 24 - Project 14 Local minimum via gradient descent/002 The function and its derivative_en.vtt 9KB
- 14 - Project 4 State-space trajectories/006 Bonus Draw time using hues_en.vtt 9KB
- 25 - Project 15 Data curve fitting/005 Conjunctive model fitting_en.vtt 9KB
- 01 - Introductions/001 Prerequisites and how to rock this course_en.vtt 9KB
- 03 - Data types/005 Tuples_en.vtt 9KB
- 06 - Flow control/003 Continue_en.vtt 9KB
- 26 - Project 16 Time-frequency analysis of EEG/007 Create a time-frequency map_en.vtt 8KB
- 27 - Project 17 Interpolation and extrapolation/005 Resampling revisited_en.vtt 8KB
- 14 - Project 4 State-space trajectories/005 State-space trajectories_en.vtt 8KB
- 24 - Project 14 Local minimum via gradient descent/001 Project overview and goals_en.vtt 8KB
- 11 - Project 1 Text search and replace/002 Import a text file_en.vtt 8KB
- 20 - Project 10 Time series filtering/001 Project overview and goals_en.vtt 8KB
- 13 - Project 3 Entropy of written English/001 Project overview and goals_en.vtt 7KB
- 01 - Introductions/004 Local Jupyter notebooks via Anaconda_en.vtt 7KB
- 01 - Introductions/003 Python via Google colab_en.vtt 7KB
- 26 - Project 16 Time-frequency analysis of EEG/001 Project overview and goals_en.vtt 7KB
- 01 - Introductions/005 Using the Q&A forum_en.vtt 7KB
- 26 - Project 16 Time-frequency analysis of EEG/008 Bonus Phase map with cyclic colormap_en.vtt 7KB
- 17 - Project 7 The colorful rainbow of noise/001 Project overview and goals_en.vtt 7KB
- 05 - Functions/001 Inputs and outputs_en.vtt 6KB
- 01 - Introductions/006 Index of functions in the course_en.vtt 6KB
- 17 - Project 7 The colorful rainbow of noise/005 Bonus How do they sound_en.vtt 5KB
- 18 - Project 8 Awesome mathy stuff/007 Bonus I heart math_en.vtt 5KB
- 12 - Project 2 The Law of Large Numbers/001 Project overview and goals_en.vtt 5KB
- 10 - Download all course materials/001 IMPORTANT Download course materials_en.vtt 5KB
- 27 - Project 17 Interpolation and extrapolation/001 Project overview and goals_en.vtt 4KB
- 31 - Bonus/001 Bonus.html 4KB
- 13 - Project 3 Entropy of written English/007 Bonus Make a word cloud_en.vtt 4KB
- 22 - Project 12 Clustering PCA, t-SNE, and k-means/001 Project overview and goals_en.vtt 4KB
- 08 - A brief aside on sharing code/001 Getting code from githubgoogle-drive_en.vtt 3KB
- 15 - Project 5 Statistics/001 Project overview and goals_en.vtt 3KB
- 19 - Project 9 Denoising noisy signals/001 Project overview and goals_en.vtt 3KB
- 29 - Project 19 Animate data/001 Project overview and goals_en.vtt 3KB
- 23 - Project 13 Index your Python code/005 Alphabetize the function list_en.vtt 2KB
- 25 - Project 15 Data curve fitting/001 Project overview and goals_en.vtt 2KB
- 21 - Project 11 Descriptive stats without numpy/001 Project overview and goals_en.vtt 2KB
- 23 - Project 13 Index your Python code/001 Project overview and goals_en.vtt 2KB
- 07 - Text and data visualization/009 Sierpinski pseudocode, part II_en.vtt 2KB
- 18 - Project 8 Awesome mathy stuff/001 Project overview and goals_en.vtt 1KB
- 11 - Project 1 Text search and replace/001 Project overview and goals_en.vtt 1KB
- 02 - ------------ Part 1 The basics ------------/001 Part 1 The basics.html 142B
- 14 - Project 4 State-space trajectories/[Tutorialsplanet.NET].url 128B
- 25 - Project 15 Data curve fitting/[Tutorialsplanet.NET].url 128B
- 31 - Bonus/[Tutorialsplanet.NET].url 128B
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