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Saved by uncleflo on December 19th, 2019.
This article will walk you through setting up a server with Python 3, MySQL, and Apache2, sans the help of a framework. By the end of this tutorial, you will be fully capable of launching a barebones system into production. Django is often the one-shop-stop for all things Python; it’s compatible with nearly all versions of Python, comes prepackaged with a custom server, and even features a one-click-install database. Setting up a vanilla system without this powerful tool can be tricky, but earns you invaluable insight into server structure from the ground up. This tutorial uses only package installers, namely apt-get and Pip. Package installers are simply small programs that make code installations much more convenient and manageable. Without them, maintaining libraries, modules, and other code bits can become an extremely messy business.
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Saved by uncleflo on July 19th, 2016.
I’ve had a lot of success in my 20 year software engineering career with developing cross platform ‘C’ and ‘C++’ code. At Backblaze, we just released the Mac beta version of our online backup service, so I thought it an apt time to discuss my 10 rules for writing cross-platform code. We develop an online backup product where a small desktop component (running on either Windows or Macintosh) encrypts and then transmits users’ files across the internet to our datacenters (running Linux.) We use the same ‘C’ and ‘C++’ libraries on Windows, Mac, and Linux interchangeably. I estimate it slows down software development by about 5 percent overall to support all three platforms. However, I run into other developers or software managers who mistakenly think cross platform code is difficult, or might double or triple the development schedules. This misconception is based on their bad experiences with badly run porting efforts. So this article is to quickly outline the 10 simple rules I live by to achieve efficient cross platform code development.
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Saved by uncleflo on December 7th, 2014.
A guide on howto compile applications statically, instead of dynamically using external dlls or sockets. A wonderfully thorough guide... well-written, seriously usable information.
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Saved by uncleflo on August 22nd, 2012.
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs.
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Saved by uncleflo on June 24th, 2011.
Cairngorm lays the foundations for delivering successful Flex and AIR projects. The latest Cairngorm3 consists of: Guidelines that describe our preferred client-side architecture; Tools that help to ensure quality, consistency and efficiency when applying Cairngorm; Libraries that reduce code by solving recurring problems. In contrast to the earlier Cairngorm 2 framework, many parts of the latest Cairngorm 3 apply across frameworks. So if you're using Parsley, Spring ActionScript, PureMVC, Swiz, Mate or another library on your projects, Cairngorm is complementary. For more information, read the Getting Started Guide, or begin exploring the guidelines, tools and libraries.
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