Pinned Repositories
BAP
Bayesian Analysis with Python (Second Edition)
cloud-python
Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.
CompEcon
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
conda-docs
Conda documentation
Coursera-Machine-Learning
Coursera Machine Learning - Python code
ISLR-python
An Introduction to Statistical Learning with Applications in R (James, Witten, Hastie, Tibshirani, 2013): Python code
LaTeX-Template-Cn
\LaTeX 中文模版收集。
py2neo
Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
py4fi
Python for Finance (O'Reilly)
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
JacksonTCS's Repositories
JacksonTCS/LaTeX-Template-Cn
\LaTeX 中文模版收集。
JacksonTCS/BAP
Bayesian Analysis with Python (Second Edition)
JacksonTCS/cloud-python
Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.
JacksonTCS/CompEcon
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
JacksonTCS/conda-docs
Conda documentation
JacksonTCS/Coursera-Machine-Learning
Coursera Machine Learning - Python code
JacksonTCS/ISLR-python
An Introduction to Statistical Learning with Applications in R (James, Witten, Hastie, Tibshirani, 2013): Python code
JacksonTCS/py2neo
Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
JacksonTCS/py4fi
Python for Finance (O'Reilly)
JacksonTCS/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
JacksonTCS/dawp
Derivatives Analytics with Python (Wiley Finance)
JacksonTCS/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
JacksonTCS/docs
What is a Sponsorware project and how can YOU start one?
JacksonTCS/dx
DX Analytics is a Python-based financial analytics library
JacksonTCS/glmnet_python
JacksonTCS/Intro_Python
Introducción rápida a Python y librerías numéricas y de análisis de datos
JacksonTCS/ipython_notebooks
Code snippets for reference
JacksonTCS/lvvd
Listed Volatility and Variance Derivatives (Wiley Finance)
JacksonTCS/py4fi2nd
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
JacksonTCS/pydlon15
Open Source Tools for Financial Time Series Analysis and Visualization
JacksonTCS/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
JacksonTCS/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
JacksonTCS/tstables
A Python package to store time series data in HDF5 files using PyTables
JacksonTCS/ucasthesis
[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences