SciPy
2024年8月20日 · SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems.
SciPy documentation — SciPy v1.14.1 Manual
SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. User guide The user guide provides in-depth information on the key concepts of SciPy with useful background information and explanation.
SciPy User Guide — SciPy v1.14.1 Manual
SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
SciPy.org
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages: NumPy
SciPy library — SciPy.org
The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines, such as routines for numerical integration, interpolation, optimization, linear algebra, and statistics.
Introduction — SciPy v1.9.0 Manual
SciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data.
Scientific computing tools for Python — SciPy.org
The SciPy library, a collection of numerical algorithms and domain-specific toolboxes, including signal processing, optimization, statistics, and much more. Matplotlib, a mature and popular plotting package that provides publication-quality 2-D plotting, as well as rudimentary 3-D plotting.
Numpy and Scipy Documentation
Numpy and Scipy Documentation¶. Welcome! This is the documentation for Numpy and Scipy. For contributors:
SciPy - Installation
You can install SciPy from PyPI with pip: python -m pip install scipy Installing via Conda# You can install SciPy from the defaults or conda-forge channels with conda: conda install scipy Install system-wide via a package manager# System package managers can install the most common Python packages.
Documentation — SciPy.org
Documentation for the core SciPy Stack projects: NumPy. SciPy. Matplotlib. IPython. SymPy. pandas. The Getting started page contains links to several good tutorials dealing with the SciPy stack.