How can you take advantage of the HipHop Virtual Machine (HHVM) and the Hack programming language, two new technologies that Facebook developed to run their web servers?
How can you take advantage of the HipHop Virtual Machine (HHVM) and the Hack programming language, two new technologies that Facebook developed to run their web servers?
Programming WCF Services is the authoritative, bestselling guide to Microsofts unified platform for developing modern, service-oriented applications on Windows.
Programming WCF Services is the authoritative, bestselling guide to Microsofts unified platform for developing modern, service-oriented applications on Windows.
Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite.
Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite.
Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among todays most popular programming languages.
Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among todays most popular programming languages.
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
Advances in 3D visualization and physics-based simulation technology make it possible for game developers to create compelling, visually immersive gaming environments that were only dreamed of years ago.
Perl, acrnimo para Practical Extraction and Report Language, es un lenguaje de programacin interpretado, diseado por Larry Wall, quien liber la primera versin en 1987.
Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.
This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.
Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.