Cosmopolitan Philippines – October 2016
English | 136 pages | True PDF | 30 MB
Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and system reliability managers how to prevent an application from becoming slow, inconsistent, or downright unavailable as it grows.
The process of art-making has long been known to have meditative and healing effects on the mind, body and soul. In Incite 4: Relax, Restore, Renew, 120 artists from around the globe share the most restorative and revitalizing aspects of their art-making through painting, collage, encaustic, art journaling, jewelry art and more.
If you’re a passionate photographer and you’re ready to take your work to the next level, The Enthusiast’s Guide book series was created just for you. Whether you’re diving head first into a new topic or exploring a classic theme, Enthusiast’s Guides are designed to help you quickly learn more about a topic or subject so that you can improve your photography. These handy books don’t waste your time covering all the photography basics you already know. Instead, they build on that knowledge so you can quickly advance your photography skills.
If you’re a passionate photographer and you’re ready to take your work to the next level, The Enthusiast’s Guide book series was created just for you. Whether you’re diving head first into a new topic or exploring a classic theme, Enthusiast’s Guides are designed to help you quickly learn more about a topic or subject so that you can improve your photography.
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.