GitHub - stats9/math-and-python: This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems. · GitHub

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.vscode		.vscode
Acceptance_Rejection_Normal_Beta_files/figure-commonmark		Acceptance_Rejection_Normal_Beta_files/figure-commonmark
EMalgorithm		EMalgorithm
NobelPrize		NobelPrize
PCA_python_BiPlot_sample_Code_files		PCA_python_BiPlot_sample_Code_files
SVM_SVR		SVM_SVR
Simulation_RandomWalk_files/figure-commonmark		Simulation_RandomWalk_files/figure-commonmark
acceptance_rejection_files/figure-commonmark		acceptance_rejection_files/figure-commonmark
data		data
scrap_web		scrap_web
.env.development		.env.development
Acceptance_Rejection_Normal_Beta.md		Acceptance_Rejection_Normal_Beta.md
Acceptance_Rejection_Normal_Beta.qmd		Acceptance_Rejection_Normal_Beta.qmd
BallGame_Template.py		BallGame_Template.py
Bayesian_Approach_sample_code.md		Bayesian_Approach_sample_code.md
Bayesian_Approach_sample_code.qmd		Bayesian_Approach_sample_code.qmd
CounterExample_For_Least_Square_Model - Copy.aux		CounterExample_For_Least_Square_Model - Copy.aux
CounterExample_For_Least_Square_Model - Copy.fdb_latexmk		CounterExample_For_Least_Square_Model - Copy.fdb_latexmk
CounterExample_For_Least_Square_Model - Copy.fls		CounterExample_For_Least_Square_Model - Copy.fls
CounterExample_For_Least_Square_Model - Copy.ipynb		CounterExample_For_Least_Square_Model - Copy.ipynb
CounterExample_For_Least_Square_Model - Copy.log		CounterExample_For_Least_Square_Model - Copy.log
CounterExample_For_Least_Square_Model - Copy.out		CounterExample_For_Least_Square_Model - Copy.out
CounterExample_For_Least_Square_Model - Copy.pdf		CounterExample_For_Least_Square_Model - Copy.pdf
CounterExample_For_Least_Square_Model - Copy.synctex.gz		CounterExample_For_Least_Square_Model - Copy.synctex.gz
CounterExample_For_Least_Square_Model - Copy.tex		CounterExample_For_Least_Square_Model - Copy.tex
CounterExample_For_Least_Square_Model - Copy.xdv		CounterExample_For_Least_Square_Model - Copy.xdv
CounterExample_For_Least_Square_Model.ipynb		CounterExample_For_Least_Square_Model.ipynb
Cox_Regression_python_R.md		Cox_Regression_python_R.md
Cox_Regression_python_R.qmd		Cox_Regression_python_R.qmd
Gambler_Ruin.ipynb		Gambler_Ruin.ipynb
Halton_Sequence_Numbers.md		Halton_Sequence_Numbers.md
Halton_Sequence_Numbers.qmd		Halton_Sequence_Numbers.qmd
Joint_Normal_Distributed_2.ipynb		Joint_Normal_Distributed_2.ipynb
Joint_Prob_for_independent_continuous_variables.md		Joint_Prob_for_independent_continuous_variables.md
Joint_Prob_for_independent_continuous_variables.qmd		Joint_Prob_for_independent_continuous_variables.qmd
MA_Enterance_Examination.ipynb		MA_Enterance_Examination.ipynb
Maste_test_Probability_1400_q62.html		Maste_test_Probability_1400_q62.html
Maste_test_Probability_1400_q62.ipynb		Maste_test_Probability_1400_q62.ipynb
Maste_test_Probability_1400_q62.pdf		Maste_test_Probability_1400_q62.pdf
Minimzing_With_condition_using_python.md		Minimzing_With_condition_using_python.md
Minimzing_With_condition_using_python.qmd		Minimzing_With_condition_using_python.qmd
Overfitting_Generate_data.ipynb		Overfitting_Generate_data.ipynb
PCA_python_BiPlot_sample_Code.docx		PCA_python_BiPlot_sample_Code.docx
PCA_python_BiPlot_sample_Code.html		PCA_python_BiPlot_sample_Code.html
PCA_python_BiPlot_sample_Code.md		PCA_python_BiPlot_sample_Code.md
PCA_python_BiPlot_sample_Code.qmd		PCA_python_BiPlot_sample_Code.qmd
Permutaion_Exercise_I.md		Permutaion_Exercise_I.md
Permutaion_Exercise_I.qmd		Permutaion_Exercise_I.qmd
Probabitly_Space_for_max_or_min_in_throwing_Dices.md		Probabitly_Space_for_max_or_min_in_throwing_Dices.md
Probabitly_Space_for_max_or_min_in_throwing_Dices.qmd		Probabitly_Space_for_max_or_min_in_throwing_Dices.qmd
Python_Project_RTO.ipynb		Python_Project_RTO.ipynb
Python_Project_RTO_Edit_2.ipynb		Python_Project_RTO_Edit_2.ipynb
Quantile_Regression.ipynb		Quantile_Regression.ipynb
README.md		README.md
Second_driveative_poisson_distribution.ipynb		Second_driveative_poisson_distribution.ipynb
Simulate_random_variable_with_Inverse_transform_method.ipynb		Simulate_random_variable_with_Inverse_transform_method.ipynb
Simulation_RandomWalk.md		Simulation_RandomWalk.md
Simulation_RandomWalk.qmd		Simulation_RandomWalk.qmd
Triangular_Distribution_Characteristic_Fonction_CF.ipynb		Triangular_Distribution_Characteristic_Fonction_CF.ipynb
Trigonometric_transformation_random_variable_uniform_distribution.ipynb		Trigonometric_transformation_random_variable_uniform_distribution.ipynb
UMVE_one_sample_poisson_cut_distribution.ipynb		UMVE_one_sample_poisson_cut_distribution.ipynb
UMVE_one_sample_poisson_cut_distribution.qmd		UMVE_one_sample_poisson_cut_distribution.qmd
UMVUE_normal.ipynb		UMVUE_normal.ipynb
Variance_xbar_Normal_distribution.ipynb		Variance_xbar_Normal_distribution.ipynb
acceptance_rejection.md		acceptance_rejection.md
acceptance_rejection.qmd		acceptance_rejection.qmd
counting_Quastion1.md		counting_Quastion1.md
counting_Quastion1.qmd		counting_Quastion1.qmd
expectation_problem_1.ipynb		expectation_problem_1.ipynb
expeted_Normal_random_variable.html		expeted_Normal_random_variable.html
expeted_Normal_random_variable.ipynb		expeted_Normal_random_variable.ipynb
expeted_Normal_random_variable.pdf		expeted_Normal_random_variable.pdf
for_template_get_max_min_from_DataFrame.md		for_template_get_max_min_from_DataFrame.md
for_template_get_max_min_from_DataFrame.qmd		for_template_get_max_min_from_DataFrame.qmd
joint_dist_X_abs_X_normal_dist.aux		joint_dist_X_abs_X_normal_dist.aux
joint_dist_X_abs_X_normal_dist.fdb_latexmk		joint_dist_X_abs_X_normal_dist.fdb_latexmk
joint_dist_X_abs_X_normal_dist.fls		joint_dist_X_abs_X_normal_dist.fls
joint_dist_X_abs_X_normal_dist.ipynb		joint_dist_X_abs_X_normal_dist.ipynb
joint_dist_X_abs_X_normal_dist.log		joint_dist_X_abs_X_normal_dist.log
joint_dist_X_abs_X_normal_dist.out		joint_dist_X_abs_X_normal_dist.out
joint_dist_X_abs_X_normal_dist.pdf		joint_dist_X_abs_X_normal_dist.pdf
joint_dist_X_abs_X_normal_dist.synctex.gz		joint_dist_X_abs_X_normal_dist.synctex.gz
joint_dist_X_abs_X_normal_dist.tex		joint_dist_X_abs_X_normal_dist.tex
joint_dist_X_abs_X_normal_dist.xdv		joint_dist_X_abs_X_normal_dist.xdv
masking_for_split_array_data_into_train_and_test.ipynb		masking_for_split_array_data_into_train_and_test.ipynb
optimization_with_python.ipynb		optimization_with_python.ipynb
temp_alaki.py		temp_alaki.py

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python and math

This repository was created to demonstrate the use of Python in mathematical theory problems.

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This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.

Topics

data expectation math mathematics probability python quantile-regression regression statistics umvue variance

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