static PyThread_type_lock interpreter_lock = 0; /* This is the GIL */
This line of code is in ceval.c, in the CPython 2.7 interpreter’s source code. Guido van Rossum’s comment, “This is the GIL,” was added in 2003, but the lock itself dates from his first multithreaded Python interpreter in 1994. On Unix systems, PyThread_type_lock is an alias for the standard C lock, mutex_t. It is initialized when the Python interpreter begins:
concurrent programming is hard and while coroutines allow us to avoid callback hell it can only get you so far, you still need to think about creating tasks, retrieving results and graceful handling of errors. Sad face.
Good news is all of that is possible in asyncio. Bad news is it’s not always immediately obvious what wrong and how to fix it. Here are a few patterns I’ve noticed while working with asyncio.
9 DBs to choose from, 5 min setup, auto-scaling, Cloud hosted. Free for 30 Days.
Python is the perfect language for prototyping in Big Data/Machine Learning fields.
Plus, there is no Jupyter Notebook in Scala: PySpark is our only option.
Best Practices, Monitoring & Tests, Resources for celery.
The Python debugger provides a debugging environment for Python programs. It supports setting conditional breakpoints, stepping through the source code one line at a time, stack inspection, and more.
Users finding bugs? Searching logs for errors? Find + fix broken code fast!
The Single Responsibility Principle (SRP) is an effective strategy against this sort of problem by reducing the amount of code in the several layers of your codebase, focusing each one on specific objectives and separating them by logical domain.
Poet helps you declare, manage and install dependencies of Python projects, ensuring you have the right stack everywhere.
The package is highly experimental at the moment so expect things to change and break. However, if you feel adventurous I'd gladly appreciate feedback and pull requests.
I’ve been working on a Python module called Sofi that generates user interfaces. It can deliver a desktop feel while using standard single-page web technologies. For flexibility, I designed it to work through two methods of distribution: in-browser and executable.
In this self-driving car with Python video, I introduce a newer, much more challenging network and task that is driving through a city.
I’ve recently been doing some simple Python programming with the Raspberry Pi and a set of traffic light LEDs that connect to it. In this post I’ll look at setting up a Pi to drive the lights.
Configuration for running unittest in IPython or Jupyter is different than running unittest from command line.
Python to python compiler that allows you to use some Python 3.6 features in older versions, you can try it in the online demo.
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Source code and pretrained model for webcam pix2pix
This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube
Example code for the paper "Understanding deep learning requires rethinking generalization".
Just a small tool to check security headers
Implementation of q-learning using TensorFlow
Utility functions for Python's multiprocessing standard library module.
AWS PowerShell Python Lambda, or PSPy for short, is a simple Python 2.7 AWS Lambda function designed to execute the PowerShell binary and marshal input/output to PowerShell.
A More Pythonic Logging System