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  • Bokeh
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  1. Disciplines

๐Ÿ“’ Accounting and Finance

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Last updated 1 year ago

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Bokeh

  • Description: An interactive visualization library for modern web browsers.

  • Use Case: Creating interactive charts and plots for financial data analysis and reporting.

  • Documentation:

  • GitHub Repository:

Dash by Plotly

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

  • Use Case: Developing interactive web-based dashboards for financial data visualization.

  • Documentation:

  • GitHub Repository:

FinancePy

  • Description: A library focused on financial markets and products, particularly derivatives pricing and risk management.

  • Use Case: Pricing and analyzing financial derivatives, fixed income products, and risk management.

  • Documentation:

  • GitHub Repository:

Matplotlib

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

  • Use Case: Generating a wide range of static and interactive plots and charts for financial data.

  • Managed by: NumFOCUS

NumPy

  • Description: The fundamental package for scientific computing with Python.

  • Use Case: Handling numerical calculations in financial modeling and quantitative finance.

Pandas

  • Description: A data analysis and manipulation library.

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

Plotly

  • Description: A graphing library that makes interactive, publication-quality graphs online.

  • Use Case: Creating interactive financial charts and dashboards.

PyAlgoTrade

  • Description: A Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading.

  • Use Case: Algorithmic trading strategy development and testing.

Pyfolio

  • Description: A Python library for performance and risk analysis of financial portfolios.

  • Use Case: Portfolio performance analysis, including risk and return metrics.

PyRisk

  • Description: A financial risk analysis library.

  • Use Case: Performing various financial risk assessments including market, credit, and liquidity risk.

QuantLib

  • Description: A library for quantitative finance.

  • Use Case: Modeling, trading, and risk management in real-life, particularly for derivatives pricing.

  • Managed by: NumFOCUS

Quandl

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

  • Use Case: Fetching financial and economic datasets for analysis.

scikit-learn

  • Description: Machine learning in Python.

  • Use Case: Predictive modeling and data analysis in finance.

  • Managed by: NumFOCUS

Se

aborn

  • Description: A statistical data visualization library based on Matplotlib.

  • Use Case: Creating attractive and informative statistical graphics in finance.

Statsmodels

  • Description: Statistical modeling and econometrics in Python.

  • Use Case: Econometric analysis, statistical modeling, and hypothesis testing in finance.

Zipline

  • Description: An open-source algorithmic trading simulator.

  • Use Case: Backtesting and developing trading algorithms using historical data.

Documentation:

GitHub Repository:

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GitHub Repository:

GitHub Repository:

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GitHub Repository:

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GitHub Repository:

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GitHub Repository:

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Bokeh Documentation
Bokeh GitHub
Dash Documentation
Dash GitHub
FinancePy Documentation
FinancePy GitHub
Matplotlib Documentation
Matplotlib GitHub
NumPy Documentation
NumPy GitHub
Pandas Documentation
Pandas GitHub
Plotly Documentation
Plotly GitHub
PyAlgoTrade Documentation
PyAlgoTrade GitHub
Pyfolio Documentation
Pyfolio GitHub
PyRisk GitHub
QuantLib Documentation
QuantLib GitHub
Quandl Documentation
Quandl GitHub
Scikit-learn Documentation
Scikit-learn GitHub
Seaborn Documentation
Seaborn GitHub
Statsmodels Documentation
Statsmodels GitHub
Zipline Documentation
Zipline GitHub
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