Libros de Programación, página 63 de 342

En este libro, Anaya Multimedia muestra a los lectores el funcionamiento de este programa mediante ejemplos prácticos diseñados especialmente para su compresión.En los diferentes apartados, el lector adquirira todos los conocimientos imprescindibles sobre la ejecucion del programa, creacion de la primera base de datos, introducir y editar datos en la tabla, propiedades de la tabla y de la base de datos, añadir, editar, filtrar y modificar registros, expresiones, crear consultas, diseño, operaciones basicas y modificacion de formularios, incrustar y vincular objetos, relaciones entre tablas, diseño y utilizacion de macros.El libro incluye un apendice para que el lector realize una correcta instalacion de Access.La metodologia utilizada en este libro, comenzando por las nociones mas basicas y terminando por los conceptos avanzados, garantizan un aprendizaje facil.Mayo 97

Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R.

Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.

Overcome performance difficulties in R with a range of exciting techniques and solutionsAbout This BookBenchmark and profile R programs to solve performance bottlenecksCombine the ease of use and flexibility of R with the power of big data toolsFilled with practical techniques and useful code examples to process large data sets more efficientlyWho This Book Is ForThis book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem.