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| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| 001 Bonus.html |
3.64Кб |
| 001 fprintf and f-strings_en.vtt |
27.29Кб |
| 001 fprintf and f-strings.mp4 |
139.86Мб |
| 001 Getting code from githubgoogle-drive_en.vtt |
3.50Кб |
| 001 Getting code from githubgoogle-drive.mp4 |
15.89Мб |
| 001 If-else statements_en.vtt |
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| 001 If-else statements.mp4 |
152.79Мб |
| 001 IMPORTANT Download course materials_en.vtt |
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| 001 IMPORTANT Download course materials.mp4 |
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| 001 Indexing_en.vtt |
13.59Кб |
| 001 Indexing.mp4 |
52.80Мб |
| 001 Inputs and outputs_en.vtt |
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| 001 Inputs and outputs.mp4 |
24.50Мб |
| 001 Part 1 The basics.html |
142б |
| 001 Part 2 The projects.html |
113б |
| 001 Prerequisites and how to rock this course_en.vtt |
8.79Кб |
| 001 Prerequisites and how to rock this course.mp4 |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals_en.vtt |
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| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
76.16Мб |
| 001 Project overview and goals.mp4 |
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| 001 Project overview and goals.mp4 |
86.40Мб |
| 001 Variables_en.vtt |
21.50Кб |
| 001 Variables.mp4 |
74.64Мб |
| 002 Code a Sierpinski triangle!_en.vtt |
13.82Кб |
| 002 Code a Sierpinski triangle!.mp4 |
58.00Мб |
| 002 Downupsample a time series_en.vtt |
16.88Кб |
| 002 Downupsample a time series.mp4 |
84.15Мб |
| 002 Fit a Gaussian_en.vtt |
18.49Кб |
| 002 Fit a Gaussian.mp4 |
100.95Мб |
| 002 For loops_en.vtt |
20.43Кб |
| 002 For loops.mp4 |
89.35Мб |
| 002 Generate a population of random numbers_en.vtt |
13.46Кб |
| 002 Generate a population of random numbers.mp4 |
64.83Мб |
| 002 Generate a signal with random noise_en.vtt |
16.96Кб |
| 002 Generate a signal with random noise.mp4 |
83.40Мб |
| 002 Import and average data from one coin_en.vtt |
23.79Кб |
| 002 Import and average data from one coin.mp4 |
126.03Мб |
| 002 Import and clean the data_en.vtt |
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| 002 Import and clean the data.mp4 |
148.09Мб |
| 002 Import and inspect the data_en.vtt |
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| 002 Import and inspect the data.mp4 |
138.29Мб |
| 002 Import and normalize the cloud data_en.vtt |
21.96Кб |
| 002 Import and normalize the cloud data.mp4 |
129.10Мб |
| 002 Import a text file_en.vtt |
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| 002 Import a text file.mp4 |
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| 002 Import multiple ipynb files_en.vtt |
10.83Кб |
| 002 Import multiple ipynb files.mp4 |
55.20Мб |
| 002 Import text from the web_en.vtt |
10.14Кб |
| 002 Import text from the web.mp4 |
68.03Мб |
| 002 Math operators_en.vtt |
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| 002 Math operators.mp4 |
48.49Мб |
| 002 Mean and median_en.vtt |
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| 002 Mean and median.mp4 |
50.81Мб |
| 002 Pascal's triangle_en.vtt |
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| 002 Pascal's triangle.mp4 |
85.78Мб |
| 002 Plotting dots and lines_en.vtt |
16.15Кб |
| 002 Plotting dots and lines.mp4 |
71.79Мб |
| 002 Python libraries (numpy)_en.vtt |
15.32Кб |
| 002 Python libraries (numpy).mp4 |
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| 002 Real-valued Morlet wavelets_en.vtt |
16.76Кб |
| 002 Real-valued Morlet wavelets.mp4 |
77.21Мб |
| 002 Simulate an AR process_en.vtt |
15.63Кб |
| 002 Simulate an AR process.mp4 |
65.20Мб |
| 002 Simulate one brain cell_en.vtt |
18.39Кб |
| 002 Simulate one brain cell.mp4 |
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| 002 Slicing_en.vtt |
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| 002 Slicing.mp4 |
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| 002 Smoothing via running-mean filter_en.vtt |
27.67Кб |
| 002 Smoothing via running-mean filter.mp4 |
128.00Мб |
| 002 Strategies for solving these projects_en.vtt |
16.33Кб |
| 002 Strategies for solving these projects.mp4 |
72.83Мб |
| 002 The function and its derivative_en.vtt |
9.48Кб |
| 002 The function and its derivative.mp4 |
34.69Мб |
| 002 Wavey wavelets in plotly, part 1_en.vtt |
26.63Кб |
| 002 Wavey wavelets in plotly, part 1.mp4 |
127.45Мб |
| 002 White and brown noise_en.vtt |
25.98Кб |
| 002 White and brown noise.mp4 |
122.39Мб |
| 003 1D interpolation_en.vtt |
17.43Кб |
| 003 1D interpolation.mp4 |
93.13Мб |
| 003 Code the Fourier transform_en.vtt |
19.65Кб |
| 003 Code the Fourier transform.mp4 |
104.92Мб |
| 003 Complex-valued Morlet wavelets_en.vtt |
10.80Кб |
| 003 Complex-valued Morlet wavelets.mp4 |
56.63Мб |
| 003 Compute and inspect covariance matrices_en.vtt |
17.93Кб |
| 003 Compute and inspect covariance matrices.mp4 |
109.16Мб |
| 003 Continue_en.vtt |
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| 003 Continue.mp4 |
32.80Мб |
| 003 Create a channel covariance matrix_en.vtt |
13.94Кб |
| 003 Create a channel covariance matrix.mp4 |
86.20Мб |
| 003 Create a circuit of 1000 neurons_en.vtt |
20.31Кб |
| 003 Create a circuit of 1000 neurons.mp4 |
110.31Мб |
| 003 Create a dataframe of selected coins_en.vtt |
26.29Кб |
| 003 Create a dataframe of selected coins.mp4 |
129.82Мб |
| 003 Distribution of word lengths_en.vtt |
14.38Кб |
| 003 Distribution of word lengths.mp4 |
67.31Мб |
| 003 Euler's identity_en.vtt |
20.27Кб |
| 003 Euler's identity.mp4 |
89.75Мб |
| 003 Fit an exponential decay_en.vtt |
11.11Кб |
| 003 Fit an exponential decay.mp4 |
49.67Мб |
| 003 Frequencies table_en.vtt |
21.36Кб |
| 003 Frequencies table.mp4 |
101.70Мб |
| 003 Gradient descent_en.vtt |
20.78Кб |
| 003 Gradient descent.mp4 |
95.75Мб |
| 003 Identify function calls_en.vtt |
22.64Кб |
| 003 Identify function calls.mp4 |
118.15Мб |
| 003 Monte Carlo sampling_en.vtt |
16.33Кб |
| 003 Monte Carlo sampling.mp4 |
93.89Мб |
| 003 Notch out line noise_en.vtt |
16.58Кб |
| 003 Notch out line noise.mp4 |
94.87Мб |
| 003 Pink and blue noise_en.vtt |
22.40Кб |
| 003 Pink and blue noise.mp4 |
120.75Мб |
| 003 Printing and inputting_en.vtt |
13.87Кб |
| 003 Printing and inputting.mp4 |
63.96Мб |
| 003 Python libraries (pandas)_en.vtt |
18.21Кб |
| 003 Python libraries (pandas).mp4 |
89.86Мб |
| 003 Python via Google colab_en.vtt |
7.10Кб |
| 003 Python via Google colab.mp4 |
33.30Мб |
| 003 Remove formatting text_en.vtt |
16.03Кб |
| 003 Remove formatting text.mp4 |
98.81Мб |
| 003 Smoothing via Gaussian convolution_en.vtt |
39.56Кб |
| 003 Smoothing via Gaussian convolution.mp4 |
211.23Мб |
| 003 Subplot geometry_en.vtt |
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| 003 Subplot geometry.mp4 |
93.47Мб |
| 003 T-test for acidity on wine quality_en.vtt |
23.33Кб |
| 003 T-test for acidity on wine quality.mp4 |
112.54Мб |
| 003 Wavey wavelets in plotly, part 2_en.vtt |
12.28Кб |
| 003 Wavey wavelets in plotly, part 2.mp4 |
74.51Мб |
| 004 1D extrapolation_en.vtt |
10.08Кб |
| 004 1D extrapolation.mp4 |
67.26Мб |
| 004 Create an alphabetized function index_en.vtt |
29.12Кб |
| 004 Create an alphabetized function index.mp4 |
152.46Мб |
| 004 Create a wavelet family_en.vtt |
18.94Кб |
| 004 Create a wavelet family.mp4 |
113.66Мб |
| 004 Cumulative averaging_en.vtt |
22.05Кб |
| 004 Cumulative averaging.mp4 |
142.32Мб |
| 004 Data dimensionality via PCA_en.vtt |
28.40Кб |
| 004 Data dimensionality via PCA.mp4 |
133.30Мб |
| 004 Despeckling via median filter_en.vtt |
23.60Кб |
| 004 Despeckling via median filter.mp4 |
102.65Мб |
| 004 Determine the number of components using PCA_en.vtt |
12.26Кб |
| 004 Determine the number of components using PCA.mp4 |
53.88Мб |
| 004 Getting help on functions_en.vtt |
11.21Кб |
| 004 Getting help on functions.mp4 |
46.60Мб |
| 004 High-pass FIR filter_en.vtt |
13.99Кб |
| 004 High-pass FIR filter.mp4 |
73.67Мб |
| 004 Letter frequencies_en.vtt |
11.80Кб |
| 004 Letter frequencies.mp4 |
54.73Мб |
| 004 Lists_en.vtt |
20.25Кб |
| 004 Lists.mp4 |
74.71Мб |
| 004 Local Jupyter notebooks via Anaconda_en.vtt |
7.20Кб |
| 004 Local Jupyter notebooks via Anaconda.mp4 |
32.10Мб |
| 004 Making the graphs look nicer_en.vtt |
29.39Кб |
| 004 Making the graphs look nicer.mp4 |
136.49Мб |
| 004 Mode_en.vtt |
10.96Кб |
| 004 Mode.mp4 |
50.09Мб |
| 004 Multiple regression_en.vtt |
16.60Кб |
| 004 Multiple regression.mp4 |
105.25Мб |
| 004 Parameterized Gaussian_en.vtt |
26.73Кб |
| 004 Parameterized Gaussian.mp4 |
134.60Мб |
| 004 Repeat in 2D_en.vtt |
29.88Кб |
| 004 Repeat in 2D.mp4 |
153.23Мб |
| 004 Replace 4-letter words and save to disk_en.vtt |
11.08Кб |
| 004 Replace 4-letter words and save to disk.mp4 |
70.65Мб |
| 004 Run PCA and compute components_en.vtt |
23.38Кб |
| 004 Run PCA and compute components.mp4 |
103.47Мб |
| 004 Simulate the neural circuit_en.vtt |
27.56Кб |
| 004 Simulate the neural circuit.mp4 |
175.58Мб |
| 004 The colorful spectral rainbow_en.vtt |
12.20Кб |
| 004 The colorful spectral rainbow.mp4 |
64.24Мб |
| 004 Use a user-defined function (sigmoid)_en.vtt |
13.15Кб |
| 004 Use a user-defined function (sigmoid).mp4 |
59.60Мб |
| 004 Wavey wavelets in matplotlib_en.vtt |
15.44Кб |
| 004 Wavey wavelets in matplotlib.mp4 |
105.36Мб |
| 004 While loops_en.vtt |
23.01Кб |
| 004 While loops.mp4 |
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| 004 Zero-padding the FFT_en.vtt |
14.96Кб |
| 004 Zero-padding the FFT.mp4 |
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| 005 Adding annotations_en.vtt |
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| 005 Adding annotations.mp4 |
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| 005 Alphabetize the function list_en.vtt |
2.30Кб |
| 005 Alphabetize the function list.mp4 |
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| 005 Bonus How do they sound_en.vtt |
5.26Кб |
| 005 Bonus How do they sound.mp4 |
19.88Мб |
| 005 Bonus Readability of scrambled words_en.vtt |
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| 005 Bonus Readability of scrambled words.mp4 |
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| 005 Bonus The Central Limit Theorem_en.vtt |
11.87Кб |
| 005 Bonus The Central Limit Theorem.mp4 |
63.93Мб |
| 005 Bonus Visualize in 3D_en.vtt |
9.96Кб |
| 005 Bonus Visualize in 3D.mp4 |
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| 005 Cluster the data using t-SNE and k-means_en.vtt |
17.43Кб |
| 005 Cluster the data using t-SNE and k-means.mp4 |
113.46Мб |
| 005 Conjunctive model fitting_en.vtt |
8.96Кб |
| 005 Conjunctive model fitting.mp4 |
41.08Мб |
| 005 Creating functions_en.vtt |
23.42Кб |
| 005 Creating functions.mp4 |
99.77Мб |
| 005 Denoise these biomedical data!_en.vtt |
18.44Кб |
| 005 Denoise these biomedical data!.mp4 |
92.41Мб |
| 005 Import and visualize the data_en.vtt |
12.90Кб |
| 005 Import and visualize the data.mp4 |
64.00Мб |
| 005 Initializing variables_en.vtt |
26.90Кб |
| 005 Initializing variables.mp4 |
125.93Мб |
| 005 Letter entropy_en.vtt |
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| 005 Letter entropy.mp4 |
58.90Мб |
| 005 Logistic regression_en.vtt |
18.03Кб |
| 005 Logistic regression.mp4 |
87.31Мб |
| 005 Low-pass IIR (Butterworth) filter_en.vtt |
10.44Кб |
| 005 Low-pass IIR (Butterworth) filter.mp4 |
46.72Мб |
| 005 Mobius transform in matplotlib_en.vtt |
25.96Кб |
| 005 Mobius transform in matplotlib.mp4 |
136.34Мб |
| 005 Resampling revisited_en.vtt |
8.31Кб |
| 005 Resampling revisited.mp4 |
42.51Мб |
| 005 Simulating DCA investments (instructions)_en.vtt |
15.52Кб |
| 005 Simulating DCA investments (instructions).mp4 |
63.06Мб |
| 005 Standard deviation_en.vtt |
10.09Кб |
| 005 Standard deviation.mp4 |
43.64Мб |
| 005 State-space trajectories_en.vtt |
8.06Кб |
| 005 State-space trajectories.mp4 |
38.63Мб |
| 005 Time dilation in special relativity_en.vtt |
12.95Кб |
| 005 Time dilation in special relativity.mp4 |
60.69Мб |
| 005 Tuples_en.vtt |
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| 005 Tuples.mp4 |
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| 005 Using the Q&A forum_en.vtt |
6.83Кб |
| 005 Using the Q&A forum.mp4 |
35.25Мб |
| 005 Visualize population activity_en.vtt |
14.23Кб |
| 005 Visualize population activity.mp4 |
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| 005 Welch's method_en.vtt |
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| 005 Welch's method.mp4 |
130.94Мб |
| 006 Bonus Create a csv report file_en.vtt |
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| 006 Bonus Create a csv report file.mp4 |
82.62Мб |
| 006 Bonus Desert landscape_en.vtt |
12.50Кб |
| 006 Bonus Desert landscape.mp4 |
65.42Мб |
| 006 Bonus Draw time using hues_en.vtt |
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| 006 Bonus Draw time using hues.mp4 |
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| 006 Bonus Highlight plot areas_en.vtt |
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| 006 Bonus Highlight plot areas.mp4 |
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| 006 Bonus Make a 2D likelihood density plot_en.vtt |
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| 006 Bonus Make a 2D likelihood density plot.mp4 |
132.45Мб |
| 006 Bonus spectrogram_en.vtt |
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| 006 Bonus spectrogram.mp4 |
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| 006 Bonus the wandering primes_en.vtt |
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| 006 Bonus the wandering primes.mp4 |
149.43Мб |
| 006 Bonus Transform to Gaussian_en.vtt |
19.57Кб |
| 006 Bonus Transform to Gaussian.mp4 |
90.29Мб |
| 006 Booleans_en.vtt |
19.88Кб |
| 006 Booleans.mp4 |
75.43Мб |
| 006 Conditional (sequence) entropy_en.vtt |
18.99Кб |
| 006 Conditional (sequence) entropy.mp4 |
97.73Мб |
| 006 Create an alphabetized file list_en.vtt |
9.53Кб |
| 006 Create an alphabetized file list.mp4 |
52.76Мб |
| 006 Eigenvalues on the complex circle_en.vtt |
17.44Кб |
| 006 Eigenvalues on the complex circle.mp4 |
90.59Мб |
| 006 Fix corrupted image with interpolation_en.vtt |
29.88Кб |
| 006 Fix corrupted image with interpolation.mp4 |
183.88Мб |
| 006 Function error checking and handling_en.vtt |
21.20Кб |
| 006 Function error checking and handling.mp4 |
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| 006 Global and local variable scopes_en.vtt |
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| 006 Global and local variable scopes.mp4 |
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| 006 Index of functions in the course_en.vtt |
5.66Кб |
| 006 Index of functions in the course.mp4 |
52.27Мб |
| 006 Multivariate model-fitting_en.vtt |
18.20Кб |
| 006 Multivariate model-fitting.mp4 |
90.77Мб |
| 006 Run some experiments!_en.vtt |
20.38Кб |
| 006 Run some experiments!.mp4 |
148.40Мб |
| 006 Seaborn_en.vtt |
18.93Кб |
| 006 Seaborn.mp4 |
88.54Мб |
| 006 Simulating DCA investments (code)_en.vtt |
31.61Кб |
| 006 Simulating DCA investments (code).mp4 |
178.68Мб |
| 006 Wavelet convolution_en.vtt |
19.53Кб |
| 006 Wavelet convolution.mp4 |
109.37Мб |
| 007 Bonus Draw a Necker cube_en.vtt |
15.95Кб |
| 007 Bonus Draw a Necker cube.mp4 |
68.59Мб |
| 007 Bonus I heart math_en.vtt |
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| 007 Bonus I heart math.mp4 |
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| 007 Bonus Make a word cloud_en.vtt |
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| 007 Bonus Make a word cloud.mp4 |
22.72Мб |
| 007 Bonus Separate excitation and inhibition_en.vtt |
12.90Кб |
| 007 Bonus Separate excitation and inhibition.mp4 |
102.16Мб |
| 007 Bonus The eye of Sauron!_en.vtt |
10.46Кб |
| 007 Bonus The eye of Sauron!.mp4 |
54.49Мб |
| 007 Bonus Which coin should you have bought_en.vtt |
27.65Кб |
| 007 Bonus Which coin should you have bought.mp4 |
137.04Мб |
| 007 Bonus Which file has the most points_en.vtt |
18.30Кб |
| 007 Bonus Which file has the most points.mp4 |
88.04Мб |
| 007 Classes and object-oriented programming_en.vtt |
14.92Кб |
| 007 Classes and object-oriented programming.mp4 |
79.21Мб |
| 007 Create a time-frequency map_en.vtt |
8.47Кб |
| 007 Create a time-frequency map.mp4 |
45.77Мб |
| 007 Dictionaries_en.vtt |
17.17Кб |
| 007 Dictionaries.mp4 |
68.74Мб |
| 007 Images_en.vtt |
21.54Кб |
| 007 Images.mp4 |
102.54Мб |
| 007 Multiple inputs with zip_en.vtt |
11.13Кб |
| 007 Multiple inputs with zip.mp4 |
48.79Мб |
| 008 Bonus Phase map with cyclic colormap_en.vtt |
6.78Кб |
| 008 Bonus Phase map with cyclic colormap.mp4 |
62.99Мб |
| 008 Export plots in low and high resolution_en.vtt |
11.29Кб |
| 008 Export plots in low and high resolution.mp4 |
55.93Мб |
| 008 Single-line loops_en.vtt |
18.88Кб |
| 008 Single-line loops.mp4 |
83.51Мб |
| 009 Broadcasting in numpy_en.vtt |
24.97Кб |
| 009 Broadcasting in numpy.mp4 |
111.20Мб |
| 009 Sierpinski pseudocode, part II_en.vtt |
1.68Кб |
| 009 Sierpinski pseudocode, part II.mp4 |
4.60Мб |
| 28641931-MasPy-functionlist.xlsx |
24.97Кб |
| 38871374-MasterPython-CodeAndData.zip |
70.14Мб |