(final Release)

Такие дела, дорогие камрады, просто удивительные. Не успел я вот в этом посте выложить для вас предыдущую версию этой наиполезнейшей для фотографов программы, как аглицкие умельцы шустро выпустили ее финальный релиз, который я незамедлительно вам нынче и представляю. Ловите этот отличный RAW-конвертер, и пользуйтесь на здоровье!

Learn the things you need for a complete game, such as translations and tutorials, and improve the things you've already written to raise their standard to a professional level.

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all–IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and JavaScript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries.

If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi.