Python civil engineering basics easy de dave bansari (3 resultados)

Autor
Título
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (3)

  • Nuevo (3)

a

Intervalo de precios personalizado (EUR)

a

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2024

      6207453611 / 9786207453610

      • Tapa blanda

      Librería: preigu, Osnabrück, Alemaniapreigu

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 52,55

      Envío por EUR 70,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 5 disponibles

      Taschenbuch. Condición: Neu. Python for Civil Engineering-Basics | Easy steps to learn Python | Bansari Dave | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207453610 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2026

      6209661114 / 9786209661112

      • Tapa blanda
      • Impresión bajo demanda

      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 87,23

      Envío por EUR 30,50 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Python is a flexible and popular programming language noted for its readability and simplicity. Python, which was developed by Guido van Rossum and originally made available in 1991, has since grown incredibly popular among programmers, researchers, data analysts, and web developers. It offers a fantastic combination between simplicity of use and potent functionality, making it suited for both inexperienced and seasoned developers.Python is an interpreted language, therefore it can be used without first being compiled. A shorter development cycle and quick prototyping are made possible by this functionality. Additionally, it supports a variety of paradigms for programming, such as procedural, object-oriented, and functional programming.Python's large library and framework ecosystem allows programmers to easily complete a variety of jobs without having to start from scratch. These libraries cover a wide range of topics, including machine learning (TensorFlow, scikit-learn), data analysis (NumPy, Pandas), scientific computing (SciPy), and web development (Django, Flask). This is the reason why Python is useful for Civil Engineering.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2024

      6207453611 / 9786207453610

      • Tapa blanda
      • Impresión bajo demanda

      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 87,23

      Envío por EUR 30,50 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Python is a flexible and popular programming language noted for its readability and simplicity. Python, which was developed by Guido van Rossum and originally made available in 1991, has since grown incredibly popular among programmers, researchers, data analysts, and web developers. It offers a fantastic combination between simplicity of use and potent functionality, making it suited for both inexperienced and seasoned developers.Python is an interpreted language, therefore it can be used without first being compiled. A shorter development cycle and quick prototyping are made possible by this functionality. Additionally, it supports a variety of paradigms for programming, such as procedural, object-oriented, and functional programming.Python's large library and framework ecosystem allows programmers to easily complete a variety of jobs without having to start from scratch. These libraries cover a wide range of topics, including machine learning (TensorFlow, scikit-learn), data analysis (NumPy, Pandas), scientific computing (SciPy), and web development (Django, Flask). This is the reason why Python is useful for Civil Engineering.