Data animations in Python using Google-colabs
NOTE: You will need to add the following code to import necessary libraries:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import rc
rc('animation', html='jshtml')
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This video is part of a full-length course on Python programming, including 32+ hours of video instruction and 80+ hours of exercises. The course starts from the absolute basics (no prior knowledge of Python is necessary!) and builds up towards intermediate-level competency.
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Course topics include:
- Data types
- Indexing and slicing
- Functions
- Flow control
- Text and data visualization
Here's a list of all the projects you can complete:
- Project 1: Text search and replace
- Project 2: The Law of Large Numbers
- Project 3: Entropy of written English
- Project 4: State-space trajectories
- Project 5: Statistics
- Project 6: Spectral analysis
- Project 7: The colorful rainbow of noise
- Project 8: Awesome mathy stuff
- Project 9: Denoising noisy signals
- Project 10: Time series filtering
- Project 11: Descriptive stats without numpy
- Project 12: Clustering: PCA, t-SNE, and k-means
- Project 13: Index your Python code
- Project 14: Local minimum via gradient descent
- Project 15: Data curve fitting
- Project 16: Time-frequency analysis of EEG
- Project 17: Interpolation and extrapolation
- Project 18: Simulate a brain circuit
- Project 19: Data animations
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Inspiration for this video: / oc_prime_numbers_whenever_n_was_a_prime_nu...
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