skip to main content
Idioma:
Tipo de recurso Mostra resultados com: Mostra resultados com: Índice

Python for finance mastering data-driven finance

Yves J Hilpisch author

Sebastopol O'Reilly Media 2019

Emprestado de FEA - Fac. Econ. Adm. Contab. e Atuária    (332.0285 H655p 2.ed. )(Acessar)

  • Título:
    Python for finance mastering data-driven finance
  • Autor: Yves J Hilpisch author
  • Assuntos: Finance -- Statistical methods -- Data processing; Financial engineering -- Data processing; Python (Computer program language); Programming languages (Electronic computers); FINANÇAS -- MODELOS ECONOMÉTRICOS; PROCESSAMENTO ELETRÔNICO DE DADOS; PYTHON; BIG DATA
  • Notas: Includes index
  • Descrição: Part 1. Python and finance. Why Python for finance -- Python infrastructure -- Part 2. Mastering the basics. Data types and structures -- Numerical computing with NumPy -- Data analysis with pandas -- Object-oriented programming -- Part 3. Financial data science. Data visualization -- Financial time series -- Input/output operations -- Performance Python -- Mathematical tools -- Stochastics -- Statistics -- Part 4. Algorithmic trading. The FXCM trading platform -- Trading strategies -- Automated trading -- Part 5. Derivatives analytics. Valuation framework -- Simulation of financial models -- Derivatives valuation -- Portfolio valuation -- Market-based valuation
    Python has become the programming language of choice for data-driven and AI-first finance. Some of the largest investment banks and hedge funds now use Python and its ecosystem for building core trading and risk management systems. In the second edition of this guide, Yves Hilpisch shows developers and quantitative analysts how to use Python packages and tools for financial data science, algorithmic trading, and computational finance
  • Editor: Sebastopol O'Reilly Media
  • Data de criação/publicação: 2019
  • Formato: xviii, 691 pages illustrations 24 cm.
  • Idioma: Inglês
Links
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  7 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.