Applying-Math-with-Python-master.zip

[{"title":"（ 94 个子文件 493KB ） Applying-Math-with-Python-master.zip","children":[{"title":"Applying-Math-with-Python-master","children":[{"title":"Chapter 05","children":[{"title":"generating-the-adjacency-matrix-for-a-network.py <span style='color:#111;'> 382B </span>","children":null,"spread":false},{"title":"finding-shortest-paths.py <span style='color:#111;'> 551B </span>","children":null,"spread":false},{"title":"visualising-networks.py <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"coloring-a-network.py <span style='color:#111;'> 565B </span>","children":null,"spread":false},{"title":"getting-the-basic-characteristics-of-networks.py <span style='color:#111;'> 822B </span>","children":null,"spread":false},{"title":"quantifying-clustering-in-a-network.py <span style='color:#111;'> 639B </span>","children":null,"spread":false},{"title":"creating-networks-in-python.py <span style='color:#111;'> 218B </span>","children":null,"spread":false},{"title":"finding-minimum-spanning-trees-and-dominating-sets.py <span style='color:#111;'> 684B </span>","children":null,"spread":false},{"title":"creating-directed-and-weighted-networks.py <span style='color:#111;'> 632B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 08","children":[{"title":"finding-interior-points.py <span style='color:#111;'> 685B </span>","children":null,"spread":false},{"title":"triangulating-polygonal-regions.py <span style='color:#111;'> 967B </span>","children":null,"spread":false},{"title":"constructing-bezier-curves.py <span style='color:#111;'> 906B </span>","children":null,"spread":false},{"title":"mandelbrot.png <span style='color:#111;'> 296.22KB </span>","children":null,"spread":false},{"title":"finding-edges-in-images.py <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"visualizing-two-dimensional-geometric-figures.py <span style='color:#111;'> 532B </span>","children":null,"spread":false},{"title":"swisscheese-grid-10411.csv <span style='color:#111;'> 772.22KB </span>","children":null,"spread":false},{"title":"computing-convex-hulls.py <span style='color:#111;'> 506B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 04","children":[{"title":"estimating-parameters-with-monte-carlo-simulations.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"changing-the-random-number-generator.py <span style='color:#111;'> 200B </span>","children":null,"spread":false},{"title":"working-with-random-processes.py <span style='color:#111;'> 1021B </span>","children":null,"spread":false},{"title":"creating-random-samples-of-data.py <span style='color:#111;'> 116B </span>","children":null,"spread":false},{"title":"selecting-items-at-random.py <span style='color:#111;'> 579B </span>","children":null,"spread":false},{"title":"generating-normally-distributed-random-numbers.py <span style='color:#111;'> 582B </span>","children":null,"spread":false},{"title":"analysing-conversion-rates-with-bayesian-techniques.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"generating-random-data.py <span style='color:#111;'> 830B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 06","children":[{"title":"creating-series-and-dataframes.py <span style='color:#111;'> 356B </span>","children":null,"spread":false},{"title":"understanding-a-population-using-sampling.py <span style='color:#111;'> 880B </span>","children":null,"spread":false},{"title":"manipulating-data-frames.py <span style='color:#111;'> 596B </span>","children":null,"spread":false},{"title":"plotting-data-from-a-DataFrame.py <span style='color:#111;'> 526B </span>","children":null,"spread":false},{"title":"testing-hypotheses-for-non-parametric-data.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"testing-hypotheses-using-t-tests.py <span style='color:#111;'> 697B </span>","children":null,"spread":false},{"title":"getting-descriptive-statistics-from-dataframes.py <span style='color:#111;'> 983B </span>","children":null,"spread":false},{"title":"creating-interactive-plots-with-Bokeh.py <span style='color:#111;'> 551B </span>","children":null,"spread":false},{"title":"testing-hypotheses-using-ANOVA.py <span style='color:#111;'> 591B </span>","children":null,"spread":false},{"title":"loading-and-storing-data-from-a-dataframe.py <span style='color:#111;'> 385B </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Chapter 02","children":[{"title":"saving-matplotlib-figures.py <span style='color:#111;'> 279B </span>","children":null,"spread":false},{"title":"adding-labels-and-legends-to-plots.py <span style='color:#111;'> 417B </span>","children":null,"spread":false},{"title":"surface-and-contour-plots.py <span style='color:#111;'> 554B </span>","children":null,"spread":false},{"title":"customising-3d-plots.py <span style='color:#111;'> 606B </span>","children":null,"spread":false},{"title":"basic-plotting-with-matplotlib.py <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"adding-subplots.py <span style='color:#111;'> 694B </span>","children":null,"spread":false},{"title":"changing-the-plotting-style.py <span style='color:#111;'> 261B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 4.37KB </span>","children":null,"spread":false},{"title":"Chapter 01","children":[{"title":"numpy-arrays.py <span style='color:#111;'> 427B </span>","children":null,"spread":false},{"title":"fraction-type.py <span style='color:#111;'> 107B </span>","children":null,"spread":false},{"title":"useful-array-creation-routines.py <span style='color:#111;'> 130B </span>","children":null,"spread":false},{"title":"array-arithmetic-and-functions.py <span style='color:#111;'> 349B </span>","children":null,"spread":false},{"title":"complex-type.py <span style='color:#111;'> 48B </span>","children":null,"spread":false},{"title":"basic-mathematical-functions.py <span style='color:#111;'> 586B </span>","children":null,"spread":false},{"title":"systems-of-equations.py <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"matrix-properties-of-numpy-arrays.py <span style='color:#111;'> 799B </span>","children":null,"spread":false},{"title":"decimal-type.py <span style='color:#111;'> 425B </span>","children":null,"spread":false},{"title":"matrices-and-n-dimensional-arrays.py <span style='color:#111;'> 397B </span>","children":null,"spread":false},{"title":"sparse-matrices.py <span style='color:#111;'> 436B </span>","children":null,"spread":false},{"title":"eigenvalus-and-eigenvectors.py <span style='color:#111;'> 456B </span>","children":null,"spread":false},{"title":"solving-equations.py <span style='color:#111;'> 308B </span>","children":null,"spread":false}],"spread":false},{"title":"Chapter 10","children":[{"title":"working-with-data-streams.py <span style='color:#111;'> 773B </span>","children":null,"spread":false},{"title":"distributing-computations-with-dask.py <span style='color:#111;'> 258B </span>","children":null,"spread":false},{"title":"working-with-geographical-data.py <span style='color:#111;'> 401B </span>","children":null,"spread":false},{"title":"accouting-for-uncertainty-in-calculations.py <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"keeping-track-of-units-with-pint.py <span style='color:#111;'> 449B </span>","children":null,"spread":false},{"title":"accelerating-code-with-cython","children":[{"title":"run.py <span style='color:#111;'> 900B </span>","children":null,"spread":false},{"title":"mandelbrot","children":[{"title":"python_mandel.py <span style='color:#111;'> 685B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 590B </span>","children":null,"spread":false},{"title":"cython_mandel.pyx <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"validating-data.py <span style='color:#111;'> 676B </span>","children":null,"spread":false},{"title":"sample.csv <span style='color:#111;'> 4.75KB </span>","children":null,"spread":false},{"title":"sample.ipynb <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"loading-and-storing-data-from-netcdf.py <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 53B </span>","children":null,"spread":false},{"title":"Chapter 09","children":[{"title":"minimising-a-non-linear-system.py <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"using-gradient-descent-methods.py <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"using-least-squares-to-fit-a-curve-to-data.py <span style='color:#111;'> 785B </span>","children":null,"spread":false},{"title":"minimising-simple-linear-systems.py <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"analyzing-simple-two-player-games.py <span style='color:#111;'> 370B </span>","children":null,"spread":false},{"title":"computing-nash-equilibria.py <span style='color:#111;'> 385B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 03","children":[{"title":"polynomials-and-calculus.py <span style='color:#111;'> 869B </span>","children":null,"spread":false},{"title":"solving-simple-differential-equations-numerically.py <span style='color:#111;'> 646B </span>","children":null,"spread":false},{"title":"numerical-integration.py <span style='color:#111;'> 326B </span>","children":null,"spread":false},{"title":"discrete-fourier-transforms-for-signals-processing.py <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"solving-systems-of-differential-equations.py <span style='color:#111;'> 735B </span>","children":null,"spread":false},{"title":"partial-differential-equations.py <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false},{"title":"symbolic-calculus-using-sympy.py <span style='color:#111;'> 272B </span>","children":null,"spread":false},{"title":"solving-equations.py <span style='color:#111;'> 308B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 07","children":[{"title":"using-prophet-to-model-time-series.py <span style='color:#111;'> 866B </span>","children":null,"spread":false},{"title":"forecasting-seasonal-data-with-arima.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"tsdata.py <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"using-multilinear-regression.py <span style='color:#111;'> 942B </span>","children":null,"spread":false},{"title":"using-linear-regression.py <span style='color:#111;'> 901B </span>","children":null,"spread":false},{"title":"classifying-using-logarithmic-regression.py <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"modelling-time-series-data-with-arma.py <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"forecasting-from-time-series-data-using-arima.py <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]