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Python 3.7.0rc1 and 3.6.6rc1 now available for testing👆

Python 3.7.0rc1 and 3.6.6rc1 are now available. 3.7.0rc1 is the final planned release preview of Python 3.7, the next feature release of Python. 3.6.6rc1 is the release preview of the next maintenance release of Python 3.6, the current release of Python. Assuming no critical problems are found prior to 2018-06-27, the scheduled release dates for 3.7.0 and 3.6.6, no code changes are planned between these release candidates and the final releases. These release candidates are intended to give you the opportunity to test the new features and bug fixes in 3.7.0 and 3.6.6 and to prepare your projects to support them. We strongly encourage you to test your projects and report issues found to bugs.python.org as soon as possible. Please keep in mind that these are preview releases and, thus, their use is not recommended for production environments. Attention macOS users: there is now a new installer variant for macOS 10.9+ that includes a built-in version of Tcl/Tk 8.6. This variant will become the default version when 3.7.0 releases. Check it out!

You can find these releases and more information here:

https://www.python.org/downloads/release/python-370rc1/

https://www.python.org/downloads/release/python-366rc1/

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Async in Py4u

Async in the Python world I n the current Python ecosystem, packages tend to standardize around AsyncIO , provided in the Python standard library. AsyncIO can sometimes be judged as complex even by well known developers ; this is in part due to the necessity of supporting other older asynchronous projects like twisted or tornado , but it’s also what makes a lots of its power: One event loop to rule them all. Running a single async task requires you to learn about AsyncIO, write a non negligible amount of boilerplate code in order to fetch a single result. This can be especially cumbersome when doing interactive exploration, and likely will keep users from experimenting with AsyncIO code. As Raymond Hettinger would says (slamming hand on podium): “There must be a better way”. How to run a single async task in Python repl without async integration.

Foster Feast !!!

Face Recognition with Python, in Under 25 Lines of Code: Thrilled to know.? guess what to do next, its all about your fingers, yeah, click and start learning new..! ↓↓↓↓↓ ↓↓↓↓↓↓↓↓ ↓↓↓↓↓↓ Just enjoy coding..! ↑↑↑↑↑ ↑↑↑↑↑↑↑↑ ↑↑↑↑↑↑

Fortnite Season 6 - Absolute Schema

Inside Fortnite’s Massive Data Analytics Pipeline More than 125 million players around the world, Fortnite has set a new standard of success for massively multi-player games. But pulling together all the servers, databases, and data pipelines to manage 92 million events per minute was no small feat, as Epic Games’ director of platform Chris Dyl recently shared. Epic Games relies on Amazon Web Services ‘ (AWS) public cloud data centers to keep Fortnite running 24 hours a day, 365 days per year. Dyl appeared at a recent AWS Summit event in New York City to share his company’s AWS story. The scale of Fortnite infrastructure running on AWS is immense. According to Dyl, Fortnite runs across 12 AWS data centers, encompassing 24 Availability (AZs). The peak Fortnite load is 10x bigger than the smallest load, so Epic relies on the scale-up and scale-down features of AWS’s Elastic Cloud Compute (EC2) infrastructure to keep its computer bill (somewhat) manageabl...