from sympy.ntheory.residue_ntheory import * 求原根(如下2在模19意义下的所有幂占满了0到18): primitive_root(19) 2 求离散对数(如下73mod15=4173mod15=41): discrete_log(41, 15, 7) 3 总结 越研究越发现SymPy的强大,相信在科学计算方面SymPy已经能够解决日常遇到的多数计算问题了。本文列出的也只是其用法的一部分,更多的功能可以去SymPy的官网查找。
import sympy from Crypto.Util.number import * flag=sympy.discrete_log(n,c,m) print(long_to_bytes(flag)) 1. 2. 3. 4. 5. 6. 7.
import sympy x=sympy.Symbol('x') y=sympy.Symbol('y') factor_xy=sympy.factor(x**2-y**2) print(factor_xy) (x - y)*(x + y) 1. 2. 3. 4. 5. 6. 7. 8. #expend()用来合并多项式 import sympy x=sympy.Symbol('x') y=sympy.Symbol('y') expr=(x - y)*(x + y) expand_...
#第一个数为余数,第二个数为模数#方法1print(solve_congruence((2, 3), (3, 5), (2, 7)))#方法2#前三个数为模数,后三个为余数print(crt([3, 5, 7], [2, 3, 2]))#求离散对数(7^3mod15=41)print(discrete_log(41, 15, 7)) 运行结果: 2.求可以尺规作图的正n边形(n<100) 代码如...
Matplotlib是Python中最流行的数据可视化库之一,它提供了丰富的绘图功能,包括创建颜色条(colorbar)来表示数据的颜色映射。在使用颜色条时,有时我们需要调整颜色条标签的大小,以适应不同的图表布局或展示需求。本文将详细介绍如何使用Matplotlib减小颜色条标签的大小,并提供多个实用的示例代码。
SymPy provides symbolic mathematics and a computer algebra system. scikit-learn provides many functions related to machine learning tasks. scikit-image provides functions related to image processing, compatible with the similar library in SciPy. Tensorflow provides a common platform for many machine learni...
discrete-event simulation framework.statsmodels- Statistical modeling and econometrics in Python.SymPy- ...
SimPy - A process-based discrete-event simulation framework. statsmodels - Statistical modeling and econometrics in Python. SymPy - A Python library for symbolic mathematics. Zipline - A Pythonic algorithmic trading library. Search Libraries and software for indexing and performing search queries on dat...
SimPy - A process-based discrete-event simulation framework. statsmodels - Statistical modeling and econometrics in Python. SymPy - A Python library for symbolic mathematics. Zipline - A Pythonic algorithmic trading library. Search Libraries and software for indexing and performing search queries on dat...
Python is an open-source language widely used for general-purpose programming due to its high-level syntax. It has gained immense popularity in the data science world, leading the PyPL Popularity of Programming Language index with over 30% share. ...