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A couple weeks ago I started doing Project Euler problems. Unfortunately this was during their security breach so login was disabled so I couldn’t get credit for any of the problems I solved. Now that account functionality is restored, I want to resubmit my answers (about 60 of them) on my actual login. Since they have a 30 second rate limiting between answer submissions, it would’ve taken me half
Kivy has been built to be easy to use, cross-platform and fast. With a single codebase, you will be able to deploy apps on Windows, Linux, macOS, iOS and Android. Business Friendly Kivy is released under the MIT License, is 100% free to use, and is professionally developed, backed and maintained. Companies and individuals are using Kivy for their projects every day.
VMware vFabric Cloud Application Platform — Build, Scale and Run Data-Intensive Applications On-Premise and in the Cloud Instagram is one of the poster children for social media site successes. Founded in 2010, the photo sharing site now supports upwards of 90 million active photo-sharing users. As with every social media site, part of the fun is that photos and comments appear instantly so your f
Understanding the Internet. Parsing Big Data Learn about the power of Python: what the language program is, the capabilities, and resources available on Python. About What is Python? Simply put, Python is a programming language. Python is considered a very sraightforward language due to its syntax and readability. In addition, the progam has a wealth of support for packages that allow a large amou
A Celery library that makes your user-responsive long-running jobs totally awesomer. jobtastic- Celery tasks plus more awesome Jobtastic makes your user-responsive long-running Celery jobs totally awesomer. Celery is the ubiquitous python job queueing tool and jobtastic is a python library that adds useful features to your Celery tasks. Specifically, these are features you probably want if the res
In 2013, I spent 6 months converting 0install's 29,215 lines of Python to OCaml (learning OCaml along the way). In this post, I'll describe the approach I took and how it went. There will be graphs. If you don't want to read the whole thing, the take-away is this: The new code is a similar length (slightly shorter), runs around 10x faster, and is statically type checked. ( This post also appeared
Streamparse lets you run Python code against real-time streams of data via Apache Storm. With streamparse you can create Storm bolts and spouts in Python without having to write a single line of Java. It also provides handy CLI utilities for managing Storm clusters and projects. The Storm/streamparse combo can be viewed as a more robust alternative to Python worker-and-queue systems, as might be b
from yuppy import * # Yuppy classes must either use the base yuppy.ClassType metaclass or use # the @yuppy.yuppy decorator. # In this case, we're creating an abstract base class "Apple" with a # couple of abstract methods for getting attributes. @abstract class Apple(object): """An abstract apple.""" @abstract def get_color(self): """Gets the apple color.""" @abstract def set_color(self): """Sets
Welcome to Plan¶ Welcome to Plan’s documentation. This documentation is mainly divided into two parts. You can get started with Installation and then have a look at Quickstart in order to have a feel about how plan looks like. You can head over to Tutorial if you want to know how to use Plan in real life. The rest part of the user’s guide is about how to define one specific job or plan object and
JMESPath (pronounced "james path") allows you to declaratively specify how to extract elements from a JSON document. For example, given this document: {"foo": {"bar": "baz"}} The jmespath expression foo.bar will return "baz". JMESPath also supports: Referencing elements in a list. Given the data: {"foo": {"bar": ["one", "two"]}} The expression: foo.bar[0] will return "one". You can also reference
Introducing Pyston: an upcoming, JIT-based Python implementation Hello everyone, I’m very excited to announce Pyston, a new open-source implementation of Python, currently under development at Dropbox. The goal of the project is to produce a high-performance Python implementation that can push Python into domains dominated by traditional systems languages like C++. Here at Dropbox, we love Python
You can find (just about) anything on Medium — apparently even a page that doesn’t exist. Maybe these stories will take you somewhere new?
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