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SciPy Curriculum: 2 Chapters, 11 Lessons — pelatihan.org
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SciPy Curriculum
Learn SciPy online with 11 structured lessons, code examples, and 55 quiz questions.
11 lessons
2 chapters
55 questions
Summaries and key points are free to preview. Full lessons, code examples, and quizzes require a subscription.
01
SciPy Tutorial
11 lessons
01
SciPy Home
SciPy is a Python library for scientific computing built on top of NumPy, containing modules for optimization, interpolation, linear algebra, statistics, and sparse data…
02
SciPy Intro
SciPy provides ready-made algorithms for applied mathematics such as function optimization, equation roots, numerical integration, and statistics. This library is written in…
03
SciPy Getting Started
To get started with SciPy, you need to install NumPy and SciPy through a package manager like pip, and then import it into a Python script. The basic concept used is the NumPy…
04
SciPy Constants
The scipy.constants module contains a physics constant and a unit conversion often used in scientific calculations, such as the value of pi, the speed of light, and the style of…
05
SciPy Optimizers
SciPy optimizers are used to find the best value of a function, such as minimum cost or maximum profit. The scipy.optimize module provides minimize, minimize_scalar, and…
06
SciPy Sparse Data
Sparse data is data that is mostly zero-valued, commonly found on large matrices such as grid charts or matrix coefficients of equations. SciPy provides scipy.sparse modules with…
07
SciPy Graphs
The scipy.sparse.csgraph module provides algorithms to work with graphs represented as adjacency matrices, such as shortest_path, connected_components, and minimum_spanning_tree.…
08
SciPy Spatial Data
It contains algorithms for spatially dimensional data, such as calculations of distance between dots, convex hulls, and Voronoi space division. The DistanceMetric module provides…
09
SciPy Matlab Arrays
The scipy.io module provides a loadmat function to read the resulting MATLAB storage file so that old data can be reused in Python. In addition, the savemat function allows…
10
SciPy Interpolation
Interpolation is the technique of estimating the value between known data dots to form a continuous function. It provides a variety of methods ranging from linear, cubic, to…
11
SciPy Significance Tests
Statistical significance testing helps determine whether the difference between two data sets is caused by real factors or by chance. It provides a t-test that compares the…