💹 Economics and Finance

ARCH

• Description: Autoregressive Conditional Heteroskedasticity (ARCH) modeling in Python.

• Use Case: Used for modeling and estimating volatility in financial markets.

• Documentation: ARCH Documentation

• GitHub Repository: ARCH GitHub

Bokeh

• Description: A library for creating interactive visualizations for modern web browsers.

• Use Case: Creating interactive, dynamic financial charts and visualizations.

• Documentation: Bokeh Documentation

• GitHub Repository: Bokeh GitHub

Dash by Plotly

• Description: A Python framework for building analytical web applications.

• Use Case: Developing interactive, web-based financial dashboards and applications.

• Documentation: Dash Documentation

• GitHub Repository: Dash GitHub

fbprophet

• Description: A tool for producing high-quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

• Use Case: Time series forecasting in finance, like stock price predictions or economic trend analysis.

• Documentation: fbprophet Documentation

• GitHub Repository: fbprophet GitHub

Matplotlib

• Description: A library for creating static, animated, and interactive visualizations in Python.

• Use Case: Standard tool for plotting and visualizing financial data and economic models.

• Documentation: Matplotlib Documentation

• GitHub Repository: Matplotlib GitHub

NumPy

• Description: The fundamental package for numerical computation in Python.

• Use Case: Basic numerical operations and calculations in finance and economics.

• Documentation: NumPy Documentation

• GitHub Repository: NumPy GitHub

Pandas

• Description: A powerful data analysis and manipulation library.

• Use Case: Data manipulation and analysis, especially useful for financial time-series data.

• Documentation: Pandas Documentation

• GitHub Repository: Pandas GitHub

Pandas-datareader

• Description: A remote data access for Pandas.

• Use Case: Extracting financial and economic data from various sources directly into Pandas DataFrames.

• Documentation: Pandas-datareader Documentation

• GitHub Repository: Pandas-datareader GitHub

Plotly

• Description: An interactive graphing library.

• Use Case: Creating interactive financial plots and dashboards.

• Documentation: Plotly Documentation

• GitHub Repository: Plotly GitHub

PyMC3

• Description: Bayesian modeling and probabilistic machine learning with Theano.

• Use Case: Applying Bayesian inference for econometric models and financial data analysis.

• Documentation: PyMC3 Documentation

• GitHub Repository: PyMC3 GitHub

QuantLib

• Description: A library for quantitative finance.

• Use Case: Modeling, trading, and risk management in finance.

• Documentation: QuantLib Documentation

• GitHub Repository: QuantLib GitHub

Quandl

• Description: A platform for financial, economic, and alternative data.

• Use Case: Accessing a wide range of financial and economic datasets.

• Documentation: Quandl Documentation

• GitHub Repository: Quandl GitHub

Scikit-learn

• Description: Machine learning in Python.

• Use Case: Predictive modeling and statistical analysis in economics and finance.

• Documentation: Scikit-learn Documentation

• GitHub Repository: Scikit-learn GitHub

Statsmodels

• Description: Statistical modeling and econometrics in Python.

• Use Case: Econometric and statistical analysis of financial data.

• Documentation: Statsmodels Documentation

• GitHub Repository: Statsmodels GitHub

TA-Lib

• Description: A Python wrapper for technical analysis library.

• Use Case: Performing technical analysis on financial market data.

• Documentation: TA-Lib Documentation

• GitHub Repository: TA-Lib GitHub

TensorFlow

• Description: An end-to-end open-source platform for machine learning.

• Use Case: Developing complex models for financial forecasting and analysis.

• Documentation: TensorFlow Documentation

• GitHub Repository: TensorFlow GitHub

XGBoost

• Description: An optimized distributed gradient boosting library.

• Use Case: Efficient and scalable machine learning models for economic and financial data analysis.

• Documentation: XGBoost Documentation

• GitHub Repository: XGBoost GitHub