Urllib3, Stripe, and Open Source Grants
Six years ago, I built a better Python http library. It had then-novel things like connection pooling, thread-safety, multipart encoding, and more. Today, every Python user depends on it. Maintaining something for six years on my own time is not easy, even with a slew of coping strategies. A few hours here and there, every week, and slowly it chugs along—largely thanks to contributors undertaking
Optimizations on Locality sensitive hashing forest data structure
In order to get LSH forest approximate nearest neighbor search method into a competitive and useful state, optimization was a necessity. These optimizations were based on the portions of the LSH forest algorithm and implementation of that algorithm. There are two general cases of bottlenecks where requirement for optimization arises. Memory usage of the data structure. Speed of queries. Let's disc
Concurrent Crawling with Go and Python – Venkata Mahalingam
June 30, 2014 What crawls better, gopher or a snake? :) I was recently talking to my friend who is also a fellow python programmer, about the system he built to crawl millions of RSS feeds very fast. He has his solution working based on Gevent and I was advocating him to take a look at Go, after being impressed with it after hearing Brad Fitzpatrick's talk at the GoSF meetup on how they sped up dl
Full Stack Python
Learn to Build, Deploy and Operate Python Applications You're knee deep in learning Python programming. The syntax is starting to make sense. The first few ahh-ha! moments hit you as you learn to use conditional statements, for loops and classes while coding with the open source libraries that make Python such an amazing programming ecosystem. Now you want to take your initial Python knowledge and
10 awesome features of Python that you can't use because you refuse to upgrade to Python 3
class: center, middle # 10 awesome features of Python that you can't use because you refuse to upgrade to Python 3 .footnote[[There is also a pdf version of these slides](http://asmeurer.github.io/python3-presentation/python3-presentation.pdf)] --- class: center, middle # 10 awesome features of Python that you can't use because you refuse to upgrade to Python 3 # or # Turning it up to 13! --- # Pr
Uploading to PyPI
I found myself within a forest dark, For the straightforward pathway had been lost… Edit: I have been kindly informed that there is, in fact, an official guide for uploading packages to PyPI, located here. I’m a research assistant in a Speech Informatics lab at the University of Minnesota. One of my tasks recently has been to take a Python script written by a former student, make it more flexible
Minecraft in 500 lines of Python with Pyglet
The document provides a brief overview of creating a Minecraft-like game using Python, focusing on utilizing the Pyglet library for 3D rendering and user interaction. It explains essential concepts such as block management within a 3D grid and player movement, highlighting techniques for performance optimization like sectorization. Additionally, it mentions various frameworks and resources availab
Entry Point Data
In this short tutorial I want to provide a short overview of some of my favorite Python tools for common procedures as entry points for general pattern classification and machine learning tasks, and various other data analyses. Sections Sections Installing Python packages About the dataset Downloading and saving CSV data files from the web Reading in a dataset from a CSV file Visualizating of a da
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Tweet Honeypots have not achieved wide adoption for cyber defense. While honeypot software is fairly mature and can provide high quality threat intelligence for organizations, they have never received wide adoption. We think the reason is that honeypots have been too complicated to deploy and manage at scale. The Modern Honey Network project makes deploying and managing secure honeypots extremely
Fun with Python bytecode
The Python programming language is now present everywhere. While significantly slower than other more low-level languages like C/C++, its ease of use, its power and its various libraries make it an ideal choice for many projects. Yet for some cases, performance does matter. For these, many solutions have been proposed. One of the most common is the use of an underlying, heavily-optimized, C librar
Throw away the keys: Easy, Minimal Perfect Hashing
I know how to make and sell software online, and I can share my tips with you. Email | Twitter | LinkedIn | Comics | All articles CORRECTION: In this article, I incorrectly state that an acyclic finite state automata (aka a DAWG) cannot be used to retrieve values associated with its keys. I have since learned that it can. By storing in each internal node the number of leaf nodes that are reachable
Videogrep: Automatic Supercuts with Python – Sam Lavigne
Videogrep is a python script that searches through dialog in videos and then cuts together a new video based on what it finds. Basically, it’s a command-line “supercut” generator. The code is here on github. The script searches through a video’s associated subtitle file (which needs to be in the same folder as the video, in standard .srt format), identifies timestamps for the dialog, and then uses
Finding the Best Ticket Price - Simple Web Scraping with Python
One of my favorite parts of the summer is attending music festivals. Most festivals offer "early bird" tickets for a significantly lower price than general admission, however they typically sell out well before the actual event. Whether it is laziness, lack of money, or just plain stupidity I never seem to purchase these early bird tickets on time and have to look to different options. In recent y
Refactoring Tornado Coroutines
[Source] Sometimes writing callback-style asynchronous code with Tornado is a pain. But the real hurt comes when you want to refactor your async code into reusable subroutines. Tornado's coroutines make refactoring easy. I'll explain the rules. (This article updates my old "Refactoring Tornado Code With gen.engine". The updated code here demonstrates the current syntax for Tornado 3 and Motor 0.3.
Scientific Plotting in Python
The document discusses advancements in scientific plotting in Python, highlighting the limitations of traditional libraries like Matplotlib and introducing a new project called mplexporter aimed at improving data transfer between plotting figures and a universal JSON format. It emphasizes the importance of interactive, shareable graphics leveraging web technologies like SVG and D3.js through platf
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doitlive — doitlive 5.1.0 documentation
GitHub - iKevinY/EulerPy: Python-based Project Euler command line tool.
An Introduction to Gradient Descent and Linear Regression
GitHub - MechanicalSoup/MechanicalSoup: A Python library for automating interaction with websites.
http://www.southampton.ac.uk/~fangohr/blog/physical-quantities-numerical-value-with-units-in-python.html