Explaining descriptors
I’ve always found descriptors to be one of the more confusing corners of Python. Partly, I think that’s to do with the explanations in the docs, which I find opaque: In general, a descriptor is an object attribute with “binding behavior”, one whose attribute access has been overridden by methods in the descriptor protocol. What is binding behavior, and why is it in quotes? This lead sentence hints
Effectively managing memory at Gmail scale - HTML5 Rocks
Effectively managing memory at Gmail scale Stay organized with collections Save and categorize content based on your preferences. Introduction While JavaScript employs garbage collection for automatic memory management, it is not a substitute for effective memory management in applications. JavaScript applications suffer from the same memory related problems that native applications do, such as me
8 months in Microsoft, I learned these
8 months in Microsoft, I learned these Ahmet Alp Balkan published on 07 June 2013 Two years ago today, I started Microsoft Windows Azure as an intern, in the very same team I joined right after college and I am working for last 8 months. I decided to summarize a few points I learned so far in this job during last 8 months. This may sound like the way things work are crappy, it is not. I learned th
Why SQLAlchemy is Awesome
From Zero to Holy Shit in 30 Minutes
Python debugging tools - Debugging tools I like to generally use with python
Python debugging tools 05 June 2013 (updated 17 February 2016) This is an overview of the tools and practices I've used for debugging or profiling purposes. This is not necessarily complete, there are so many tools so I'm listing only what I think is best or relevant. If you know better tools or have other preferences, please comment below. Logging * Yes, really. Can't stress enough how important
Statically Recompiling NES Games into Native Executables with LLVM and Go - Andrew Kelley
Statically Recompiling NES Games into Native Executables with LLVM and Go I have always wanted to write an emulator. I made a half-hearted attempt in college but it never made it to a demo-able state. I also didn't want to write Yet Another Emulator. It should at least bring something new to the table. When I discovered LLVM, I felt like I finally had worthwhile idea for a project. This article pr
Visualizing Hash Functions
I've been working on some static visualizations of hash functions, starting with SHA1 and MD5 (images here and here, respectively). The two sample images show the process of computing the respective hash functions on the input "denny" (with ASCII encoding -- i.e., the input in hex is "64656E6E79"). A portion of the MD5 image is included below: Notes about these two particular algorithms and their
Deep dive into the murky waters of script loading | Articles | web.dev
Deep dive into the murky waters of script loading Stay organized with collections Save and categorize content based on your preferences. Introduction In this article I’m going to teach you how to load some JavaScript in the browser and execute it. No, wait, come back! I know it sounds mundane and simple, but remember, this is happening in the browser where the theoretically simple becomes a legacy
Controlling electronics with Python - a quick start with pyMCU board
Controlling electronics with Python - a quick start with pyMCU board Share pyMCU is an electronic board that can handle electronic components like various sensors (temperature, light, pressure, magnetic field, distance etc.) or for example small alphanumeric displays. All of that is done by code you can write in Python. The board is equipped with a PIC 16F1939 microcontroller offering 13 Digital I
PEP 443 – Single-dispatch generic functions | peps.python.org
PEP 443 – Single-dispatch generic functions Author: Łukasz Langa <lukasz at python.org> Discussions-To: Python-Dev list Status: Final Type: Standards Track Created: 22-May-2013 Python-Version: 3.4 Post-History: 22-May-2013, 25-May-2013, 31-May-2013 Replaces: 245, 246, 3124 Table of Contents Abstract Rationale and Goals User API Implementation Notes Abstract Base Classes Usage Patterns Alternative
DIY Smart Television with RaspberryPi and Node.js – DD's Blog
Hardware Components: The RaspberryPi (Tested on Raspberry Pi model I-B, I-B+ and II-B) A USB WiFi dongle or Ethernet cable (Tested on Edimax WiFi Dongle) SD/MicroSD card (8 GB+) (check out NOOBS) Software Stack: Raspbian – a fork of Debian designed for the Raspberry Pi Node.js Socket.io – Web-sockets module Express – Web-framework module Omxcontrol – OMX-player controller module Chromium Browser
Tetris Printer Algorithm
Example patterns follow. Platforms Before a row is constructed, the algorithm inspects the row below it. If the row below fails to provide support for all of the squares to be deposited above it, then a temporary platform is required. When that platform is removed, the new row will drop, leaving some of the squares apparently floating above empty space due to the way that gravity works in the orig
DRY Principles through Python Decorators
Python decorators are a powerful tool to remove redundancy. Along with modularizing functionality into appropriate bite-sized methods, it makes even the most complex workflows into concise functionality. For example, let’s look at the Django web framework, which handles requests by methods which receive a method object and return a response object: A case I ran into recently was having to write se
A Python 3 Web Framework - Watson Documentation
Redirecting you to readthedocs...
Best Practices for Designing a Pragmatic RESTful API
Your data model has started to stabilize and you're in a position to create a public API for your web app. You realize it's hard to make significant changes to your API once it's released and want to get as much right as possible up front. Now, the internet has no shortage on opinions on API design. But, since there's no one widely adopted standard that works in all cases, you're left with a bunch
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Pair Programming - My Personal Nightmare - Ben Northrop
RとPythonによるデータ解析入門
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