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[Tutorialsplanet.NET] Udemy - Master Python programming by solving scientific projects

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种子名称: [Tutorialsplanet.NET] Udemy - Master Python programming by solving scientific projects
文件类型: 视频
文件数目: 168个文件
文件大小: 12.73 GB
收录时间: 2022-8-11 21:15
已经下载: 3
资源热度: 142
最近下载: 2024-6-15 08:17

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[Tutorialsplanet.NET] Udemy - Master Python programming by solving scientific projects.torrent
  • 01 - Introductions/001 Prerequisites and how to rock this course.mp444.15MB
  • 01 - Introductions/002 Code a Sierpinski triangle!.mp458MB
  • 01 - Introductions/003 Python via Google colab.mp433.3MB
  • 01 - Introductions/004 Local Jupyter notebooks via Anaconda.mp432.1MB
  • 01 - Introductions/005 Using the Q&A forum.mp435.25MB
  • 01 - Introductions/006 Index of functions in the course.mp452.27MB
  • 03 - Data types/001 Variables.mp474.64MB
  • 03 - Data types/002 Math operators.mp448.49MB
  • 03 - Data types/003 Printing and inputting.mp463.96MB
  • 03 - Data types/004 Lists.mp474.71MB
  • 03 - Data types/005 Tuples.mp437.02MB
  • 03 - Data types/006 Booleans.mp475.43MB
  • 03 - Data types/007 Dictionaries.mp468.74MB
  • 04 - Indexing and slicing/001 Indexing.mp452.8MB
  • 04 - Indexing and slicing/002 Slicing.mp438.63MB
  • 05 - Functions/001 Inputs and outputs.mp424.5MB
  • 05 - Functions/002 Python libraries (numpy).mp464.47MB
  • 05 - Functions/003 Python libraries (pandas).mp489.86MB
  • 05 - Functions/004 Getting help on functions.mp446.6MB
  • 05 - Functions/005 Creating functions.mp499.77MB
  • 05 - Functions/006 Global and local variable scopes.mp462.65MB
  • 05 - Functions/007 Classes and object-oriented programming.mp479.21MB
  • 06 - Flow control/001 If-else statements.mp4152.79MB
  • 06 - Flow control/002 For loops.mp489.35MB
  • 06 - Flow control/003 Continue.mp432.8MB
  • 06 - Flow control/004 While loops.mp4106.71MB
  • 06 - Flow control/005 Initializing variables.mp4125.93MB
  • 06 - Flow control/006 Function error checking and handling.mp499.96MB
  • 06 - Flow control/007 Multiple inputs with zip.mp448.79MB
  • 06 - Flow control/008 Single-line loops.mp483.51MB
  • 06 - Flow control/009 Broadcasting in numpy.mp4111.2MB
  • 07 - Text and data visualization/001 fprintf and f-strings.mp4139.86MB
  • 07 - Text and data visualization/002 Plotting dots and lines.mp471.79MB
  • 07 - Text and data visualization/003 Subplot geometry.mp493.47MB
  • 07 - Text and data visualization/004 Making the graphs look nicer.mp4136.49MB
  • 07 - Text and data visualization/005 Adding annotations.mp4101.08MB
  • 07 - Text and data visualization/006 Seaborn.mp488.54MB
  • 07 - Text and data visualization/007 Images.mp4102.54MB
  • 07 - Text and data visualization/008 Export plots in low and high resolution.mp455.93MB
  • 07 - Text and data visualization/009 Sierpinski pseudocode, part II.mp44.6MB
  • 08 - A brief aside on sharing code/001 Getting code from githubgoogle-drive.mp415.89MB
  • 10 - Download all course materials/001 IMPORTANT Download course materials.mp426.62MB
  • 10 - Download all course materials/002 Strategies for solving these projects.mp472.83MB
  • 11 - Project 1 Text search and replace/001 Project overview and goals.mp45.22MB
  • 11 - Project 1 Text search and replace/002 Import a text file.mp435.59MB
  • 11 - Project 1 Text search and replace/003 Remove formatting text.mp498.81MB
  • 11 - Project 1 Text search and replace/004 Replace 4-letter words and save to disk.mp470.65MB
  • 11 - Project 1 Text search and replace/005 Bonus Readability of scrambled words.mp4101.62MB
  • 12 - Project 2 The Law of Large Numbers/001 Project overview and goals.mp422.97MB
  • 12 - Project 2 The Law of Large Numbers/002 Generate a population of random numbers.mp464.83MB
  • 12 - Project 2 The Law of Large Numbers/003 Monte Carlo sampling.mp493.89MB
  • 12 - Project 2 The Law of Large Numbers/004 Cumulative averaging.mp4142.32MB
  • 12 - Project 2 The Law of Large Numbers/005 Bonus The Central Limit Theorem.mp463.93MB
  • 13 - Project 3 Entropy of written English/001 Project overview and goals.mp431.58MB
  • 13 - Project 3 Entropy of written English/002 Import text from the web.mp468.03MB
  • 13 - Project 3 Entropy of written English/003 Distribution of word lengths.mp467.31MB
  • 13 - Project 3 Entropy of written English/004 Letter frequencies.mp454.73MB
  • 13 - Project 3 Entropy of written English/005 Letter entropy.mp458.9MB
  • 13 - Project 3 Entropy of written English/006 Conditional (sequence) entropy.mp497.73MB
  • 13 - Project 3 Entropy of written English/007 Bonus Make a word cloud.mp422.72MB
  • 14 - Project 4 State-space trajectories/001 Project overview and goals.mp447.24MB
  • 14 - Project 4 State-space trajectories/002 Import and clean the data.mp4148.09MB
  • 14 - Project 4 State-space trajectories/003 Create a channel covariance matrix.mp486.2MB
  • 14 - Project 4 State-space trajectories/004 Run PCA and compute components.mp4103.47MB
  • 14 - Project 4 State-space trajectories/005 State-space trajectories.mp438.63MB
  • 14 - Project 4 State-space trajectories/006 Bonus Draw time using hues.mp446.7MB
  • 15 - Project 5 Statistics/001 Project overview and goals.mp421.62MB
  • 15 - Project 5 Statistics/002 Import and inspect the data.mp4138.29MB
  • 15 - Project 5 Statistics/003 T-test for acidity on wine quality.mp4112.54MB
  • 15 - Project 5 Statistics/004 Multiple regression.mp4105.25MB
  • 15 - Project 5 Statistics/005 Logistic regression.mp487.31MB
  • 15 - Project 5 Statistics/006 Bonus Transform to Gaussian.mp490.29MB
  • 16 - Project 6 Spectral analysis/001 Project overview and goals.mp439.92MB
  • 16 - Project 6 Spectral analysis/002 Simulate an AR process.mp465.2MB
  • 16 - Project 6 Spectral analysis/003 Code the Fourier transform.mp4104.92MB
  • 16 - Project 6 Spectral analysis/004 Zero-padding the FFT.mp473.32MB
  • 16 - Project 6 Spectral analysis/005 Welch's method.mp4130.94MB
  • 16 - Project 6 Spectral analysis/006 Bonus spectrogram.mp458.9MB
  • 17 - Project 7 The colorful rainbow of noise/001 Project overview and goals.mp430.81MB
  • 17 - Project 7 The colorful rainbow of noise/002 White and brown noise.mp4122.39MB
  • 17 - Project 7 The colorful rainbow of noise/003 Pink and blue noise.mp4120.75MB
  • 17 - Project 7 The colorful rainbow of noise/004 The colorful spectral rainbow.mp464.24MB
  • 17 - Project 7 The colorful rainbow of noise/005 Bonus How do they sound.mp419.88MB
  • 18 - Project 8 Awesome mathy stuff/001 Project overview and goals.mp45.32MB
  • 18 - Project 8 Awesome mathy stuff/002 Pascal's triangle.mp485.78MB
  • 18 - Project 8 Awesome mathy stuff/003 Euler's identity.mp489.75MB
  • 18 - Project 8 Awesome mathy stuff/004 Parameterized Gaussian.mp4134.6MB
  • 18 - Project 8 Awesome mathy stuff/005 Time dilation in special relativity.mp460.69MB
  • 18 - Project 8 Awesome mathy stuff/006 Eigenvalues on the complex circle.mp490.59MB
  • 18 - Project 8 Awesome mathy stuff/007 Bonus I heart math.mp425.5MB
  • 19 - Project 9 Denoising noisy signals/001 Project overview and goals.mp412.73MB
  • 19 - Project 9 Denoising noisy signals/002 Smoothing via running-mean filter.mp4128MB
  • 19 - Project 9 Denoising noisy signals/003 Smoothing via Gaussian convolution.mp4211.23MB
  • 19 - Project 9 Denoising noisy signals/004 Despeckling via median filter.mp4102.65MB
  • 19 - Project 9 Denoising noisy signals/005 Denoise these biomedical data!.mp492.41MB
  • 19 - Project 9 Denoising noisy signals/006 Bonus Highlight plot areas.mp470.46MB
  • 20 - Project 10 Time series filtering/001 Project overview and goals.mp428.97MB
  • 20 - Project 10 Time series filtering/002 Generate a signal with random noise.mp483.4MB
  • 20 - Project 10 Time series filtering/003 Notch out line noise.mp494.87MB
  • 20 - Project 10 Time series filtering/004 High-pass FIR filter.mp473.67MB
  • 20 - Project 10 Time series filtering/005 Low-pass IIR (Butterworth) filter.mp446.72MB
  • 20 - Project 10 Time series filtering/006 Bonus Desert landscape.mp465.42MB
  • 21 - Project 11 Descriptive stats without numpy/001 Project overview and goals.mp411.82MB
  • 21 - Project 11 Descriptive stats without numpy/002 Mean and median.mp450.81MB
  • 21 - Project 11 Descriptive stats without numpy/003 Frequencies table.mp4101.7MB
  • 21 - Project 11 Descriptive stats without numpy/004 Mode.mp450.09MB
  • 21 - Project 11 Descriptive stats without numpy/005 Standard deviation.mp443.64MB
  • 21 - Project 11 Descriptive stats without numpy/006 Bonus Create a csv report file.mp482.62MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/001 Project overview and goals.mp424.17MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/002 Import and normalize the cloud data.mp4129.1MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/003 Compute and inspect covariance matrices.mp4109.16MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/004 Determine the number of components using PCA.mp453.88MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/005 Cluster the data using t-SNE and k-means.mp4113.46MB
  • 22 - Project 12 Clustering PCA, t-SNE, and k-means/006 Bonus Make a 2D likelihood density plot.mp4132.45MB
  • 23 - Project 13 Index your Python code/001 Project overview and goals.mp49.64MB
  • 23 - Project 13 Index your Python code/002 Import multiple ipynb files.mp455.2MB
  • 23 - Project 13 Index your Python code/003 Identify function calls.mp4118.15MB
  • 23 - Project 13 Index your Python code/004 Create an alphabetized function index.mp4152.46MB
  • 23 - Project 13 Index your Python code/005 Alphabetize the function list.mp415.22MB
  • 23 - Project 13 Index your Python code/006 Create an alphabetized file list.mp452.76MB
  • 23 - Project 13 Index your Python code/007 Bonus Which file has the most points.mp488.04MB
  • 24 - Project 14 Local minimum via gradient descent/001 Project overview and goals.mp444.23MB
  • 24 - Project 14 Local minimum via gradient descent/002 The function and its derivative.mp434.69MB
  • 24 - Project 14 Local minimum via gradient descent/003 Gradient descent.mp495.75MB
  • 24 - Project 14 Local minimum via gradient descent/004 Repeat in 2D.mp4153.23MB
  • 24 - Project 14 Local minimum via gradient descent/005 Bonus Visualize in 3D.mp449.95MB
  • 25 - Project 15 Data curve fitting/001 Project overview and goals.mp410.6MB
  • 25 - Project 15 Data curve fitting/002 Fit a Gaussian.mp4100.95MB
  • 25 - Project 15 Data curve fitting/003 Fit an exponential decay.mp449.67MB
  • 25 - Project 15 Data curve fitting/004 Use a user-defined function (sigmoid).mp459.6MB
  • 25 - Project 15 Data curve fitting/005 Conjunctive model fitting.mp441.08MB
  • 25 - Project 15 Data curve fitting/006 Multivariate model-fitting.mp490.77MB
  • 25 - Project 15 Data curve fitting/007 Bonus The eye of Sauron!.mp454.49MB
  • 26 - Project 16 Time-frequency analysis of EEG/001 Project overview and goals.mp445.39MB
  • 26 - Project 16 Time-frequency analysis of EEG/002 Real-valued Morlet wavelets.mp477.21MB
  • 26 - Project 16 Time-frequency analysis of EEG/003 Complex-valued Morlet wavelets.mp456.63MB
  • 26 - Project 16 Time-frequency analysis of EEG/004 Create a wavelet family.mp4113.66MB
  • 26 - Project 16 Time-frequency analysis of EEG/005 Import and visualize the data.mp464MB
  • 26 - Project 16 Time-frequency analysis of EEG/006 Wavelet convolution.mp4109.37MB
  • 26 - Project 16 Time-frequency analysis of EEG/007 Create a time-frequency map.mp445.77MB
  • 26 - Project 16 Time-frequency analysis of EEG/008 Bonus Phase map with cyclic colormap.mp462.99MB
  • 27 - Project 17 Interpolation and extrapolation/001 Project overview and goals.mp412.35MB
  • 27 - Project 17 Interpolation and extrapolation/002 Downupsample a time series.mp484.15MB
  • 27 - Project 17 Interpolation and extrapolation/003 1D interpolation.mp493.13MB
  • 27 - Project 17 Interpolation and extrapolation/004 1D extrapolation.mp467.26MB
  • 27 - Project 17 Interpolation and extrapolation/005 Resampling revisited.mp442.51MB
  • 27 - Project 17 Interpolation and extrapolation/006 Fix corrupted image with interpolation.mp4183.88MB
  • 27 - Project 17 Interpolation and extrapolation/007 Bonus Draw a Necker cube.mp468.59MB
  • 28 - Project 18 Simulate a brain circuit/001 Project overview and goals.mp476.16MB
  • 28 - Project 18 Simulate a brain circuit/002 Simulate one brain cell.mp479.23MB
  • 28 - Project 18 Simulate a brain circuit/003 Create a circuit of 1000 neurons.mp4110.31MB
  • 28 - Project 18 Simulate a brain circuit/004 Simulate the neural circuit.mp4175.58MB
  • 28 - Project 18 Simulate a brain circuit/005 Visualize population activity.mp499.93MB
  • 28 - Project 18 Simulate a brain circuit/006 Run some experiments!.mp4148.4MB
  • 28 - Project 18 Simulate a brain circuit/007 Bonus Separate excitation and inhibition.mp4102.16MB
  • 29 - Project 19 Animate data/001 Project overview and goals.mp416.86MB
  • 29 - Project 19 Animate data/002 Wavey wavelets in plotly, part 1.mp4127.45MB
  • 29 - Project 19 Animate data/003 Wavey wavelets in plotly, part 2.mp474.51MB
  • 29 - Project 19 Animate data/004 Wavey wavelets in matplotlib.mp4105.36MB
  • 29 - Project 19 Animate data/005 Mobius transform in matplotlib.mp4136.34MB
  • 29 - Project 19 Animate data/006 Bonus the wandering primes.mp4149.43MB
  • 30 - Project 20 Cryptocurrency investing/001 Project overview and goals.mp486.4MB
  • 30 - Project 20 Cryptocurrency investing/002 Import and average data from one coin.mp4126.03MB
  • 30 - Project 20 Cryptocurrency investing/003 Create a dataframe of selected coins.mp4129.82MB
  • 30 - Project 20 Cryptocurrency investing/004 Data dimensionality via PCA.mp4133.3MB
  • 30 - Project 20 Cryptocurrency investing/005 Simulating DCA investments (instructions).mp463.06MB
  • 30 - Project 20 Cryptocurrency investing/006 Simulating DCA investments (code).mp4178.68MB
  • 30 - Project 20 Cryptocurrency investing/007 Bonus Which coin should you have bought.mp4137.04MB