PortadaGruposCharlasMásPanorama actual
Buscar en el sitio
Este sitio utiliza cookies para ofrecer nuestros servicios, mejorar el rendimiento, análisis y (si no estás registrado) publicidad. Al usar LibraryThing reconoces que has leído y comprendido nuestros términos de servicio y política de privacidad. El uso del sitio y de los servicios está sujeto a estas políticas y términos.

Resultados de Google Books

Pulse en una miniatura para ir a Google Books.

Julia 1.0 Programming Cookbook: Over 100…
Cargando...

Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow (edición 2018)

por Bogumil Kaminski (Autor)

MiembrosReseñasPopularidadValoración promediaConversaciones
2Ninguno5,256,590 (4)Ninguno
Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. Key Features Address the core problems of programming in Julia with the most popular packages for common tasks Tackle issues while working with Databases and Parallel data processing with Julia Explore advanced features such as metaprogramming, functional programming, and user defined types Book Description Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What you will learn Boost your code's performance using Julia's unique features Organize data in to fundamental types of collections: arrays and dictionaries Organize data science processes within Julia and solve related problems Scale Julia computations with cloud computing Write data to IO streams with Julia and handle web transfer Define your own immutable and mutable types Speed up the development process using metaprogramming Who this book is for This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.… (más)
Miembro:hakank
Título:Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow
Autores:Bogumil Kaminski (Autor)
Información:Packt Publishing (2018), 460 pages
Colecciones:Tu biblioteca
Valoración:****
Etiquetas:Ninguno

Información de la obra

Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow por Bogumil Kaminski

Añadido recientemente porhakank, sbnicar
Ninguno
Cargando...

Inscríbete en LibraryThing para averiguar si este libro te gustará.

Actualmente no hay Conversaciones sobre este libro.

Ninguna reseña
sin reseñas | añadir una reseña
Debes iniciar sesión para editar los datos de Conocimiento Común.
Para más ayuda, consulta la página de ayuda de Conocimiento Común.
Título canónico
Título original
Títulos alternativos
Fecha de publicación original
Personas/Personajes
Lugares importantes
Acontecimientos importantes
Películas relacionadas
Epígrafe
Dedicatoria
Primeras palabras
Citas
Últimas palabras
Aviso de desambiguación
Editores de la editorial
Blurbistas
Idioma original
DDC/MDS Canónico
LCC canónico

Referencias a esta obra en fuentes externas.

Wikipedia en inglés

Ninguno

Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. Key Features Address the core problems of programming in Julia with the most popular packages for common tasks Tackle issues while working with Databases and Parallel data processing with Julia Explore advanced features such as metaprogramming, functional programming, and user defined types Book Description Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What you will learn Boost your code's performance using Julia's unique features Organize data in to fundamental types of collections: arrays and dictionaries Organize data science processes within Julia and solve related problems Scale Julia computations with cloud computing Write data to IO streams with Julia and handle web transfer Define your own immutable and mutable types Speed up the development process using metaprogramming Who this book is for This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.

No se han encontrado descripciones de biblioteca.

Descripción del libro
Resumen Haiku

Debates activos

Ninguno

Cubiertas populares

Enlaces rápidos

Valoración

Promedio: (4)
0.5
1
1.5
2
2.5
3
3.5
4 1
4.5
5

¿Eres tú?

Conviértete en un Autor de LibraryThing.

 

Acerca de | Contactar | LibraryThing.com | Privacidad/Condiciones | Ayuda/Preguntas frecuentes | Blog | Tienda | APIs | TinyCat | Bibliotecas heredadas | Primeros reseñadores | Conocimiento común | 204,814,927 libros! | Barra superior: Siempre visible