Python Tutor

Python Tutor, created by Philip Guo, helps people overcome a fundamental barrier to learning programming: understanding what happens as the computer executes each line of a program’s source code.

Using this tool, you can write Python, Java, JavaScript, TypeScript, Ruby, C, and C++ programs in your Web browser and visualize what the computer is doing step-by-step as it executes those programs. So far, over 1.5 million people in over 180 countries have used Python Tutor to visualize over 15 million pieces of code, often as a supplement to textbooks, lecture notes, and online programming tutorials.

http://pythontutor.com/
https://github.com/pgbovine/OnlinePythonTutor/

Replicating SQLite using the Raft consensus protocol

Detailed background on rqlite can be found on these blog posts. Note that master represents 2.0 development (which is still in progress), with a new API and Raft consensus module. If you want to work with 1.0 rqlite, you can find it here.

rqlite is a distributed system that provides a replicated SQLite database. rqlite is written in Go and uses Raft to achieve consensus across all the instances of the SQLite databases. rqlite ensures that every change made to the database is made to a quorum of SQLite files, or none at all.

rqlite gives you the functionality of a fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation.

https://github.com/otoolep/rqlite

How to Code and Understand DeepMind’s Neural Stack Machine

Summary: I learn best with toy code that I can play with. This tutorial teachesDeepMind’s Neural Stack machine via a very simple toy example, a short python implementation. I will also explain my thought process along the way forreading and implementing research papers from scratch, which I hope you will find useful.

https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/?i=4

Sysdig vs DTrace vs Strace: a Technical Discussion

First off, let me start with a big thank you to all of you for your interest in sysdig! We have been overwhelmed by the positive response from the community, and by the quality of the comments, questions, and contributions we’re receiving.

For the uninitiated, sysdig is a system-level exploration and troubleshooting tool for Linux with native support for containers. In this post, I want to try to answer two important and recurring questions we’ve received:

  1. “How does sysdig work?”
  2. “How is this different from the plethora of tools already available to analyze a Linux system or the processes that run on top of it (SystemTap, LTTng, DTrace, strace, ktap to name few of them)?”

I’ll address both questions by providing a technical breakdown of sysdig’s architecture. But before doing that, let’s look at two very well-known tools: strace and DTrace.

Sysdig vs DTrace vs Strace: a Technical Discussion

A (relatively easy to understand) primer on elliptic curve cryptography

Author Nick Sullivan worked for six years at Apple on many of its most important cryptography efforts before recently joining CloudFlare, where he is a systems engineer. He has a degree in mathematics from the University of Waterloo and a Masters in computer science with a concentration in cryptography from the University of Calgary. This post was originally written for the CloudFlare blog and has been lightly edited to appear on Ars.

Readers are reminded that elliptic curve cryptography is a set of algorithms for encrypting and decrypting data and exchanging cryptographic keys. Dual_EC_DRBG, the cryptographic standard suspected of containing a backdoor engineered by the National Security Agency, is a function that uses elliptic curve mathematics to generate a series of random-looking numbers from a seed. This primer comes two months after internationally recognized cryptographers called on peers around the world to adopt ECC to avert a possible “cryptopocalypse.”

http://arstechnica.com/security/2013/10/a-relatively-easy-to-understand-primer-on-elliptic-curve-cryptography/

PostgreSQL Indexes: First Principles

We have all heard about indexes. Yeah, that thing that it’s automatically added to the Primary Key column that enables fast data retrieval and stuff. Sure, but have you ever asked yourself if there are multiple types or implementations of indexes? Or maybe, what type of indexes your favourite RDBMS implements? In this blog post, we will take a step back to the beginning, exploring what indexes are, what is their role, types of indexes, metrics and so on. And all of this in PostgreSQL…

http://eftimov.net/postgresql-indexes-first-principles

nxweb – Fast and Lightweight Web Server for Applications Written in C & Python

“Sometimes web applications need small and fast components that are best written in C.

Example: ad banner rotation engine. It gets invoked many times on every page of your site producing little HTML snippets based on predefined configuration. How would you implement it?

CGI is not an option as it gets loaded and unloaded on every request. Writing a module for your main web server such as Apache httpd or nginx gives best performance but server’s API isn’t very friendly (especially when dealing with shared memory, etc.). What we need is sort of servlet container for C (just like Java has).

Before writing NXWEB I evaluated a number of existing light/embeddable web servers (mongoose, microhttpd, libevent, G-WAN) each one having their own drawbacks (see notes to benchmarks)…”

http://nxweb.org/

100 more of those BITFIELDs

“Today Redis is 7 years old, so to commemorate the event a bit I passed the latest couple of days doing a fun coding marathon to implement a new crazy command called BITFIELD.

The essence of this command is not new, it was proposed in the past by me and others, but never in a serious way, the idea always looked a bit strange. We already have bit operations in Redis: certain users love it, it’s a good way to represent a lot of data in a compact way. However so far we handle each bit separately, setting, testing, getting bits, counting all the bits that are set in a range, and so forth.

What about implementing bitfields? Short or large, arbitrary sized integers, at arbitrary offsets, so that I can use a Redis string as an array of 5 bits signed integers, without losing a single bit of juice.

A few days ago, Yoav Steinberg from Redis Labs, proposed a set of commands on arbitrary sized integers stored at bit offsets in a more serious way. I smiled when I read the email, since this was kinda of a secret dream. Starting from Yoav proposal and with other feedbacks from Redis Labs engineers, I wrote an initial specification of a single command with sub-commands, using short names for types definitions, and adding very fine grained control on the overflow semantics…”

http://antirez.com/news/103

A Better Pip Workflow™

“When developing Python applications today, it’s standard practice to have a requirements.txt file in the root of your repository.

This file can be used in different ways, and typically takes one of these two forms:

  1. A list of top-level dependencies a project has, often without versions specified.
  2. A complete list of all dependencies a project has, each with exact versions specified…”

http://www.kennethreitz.org/essays/a-better-pip-workflow

The Lisp Curse

“This essay is yet another attempt to reconcile the power of the Lisp programming language with the inability of the Lisp community to reproduce their pre-AI Winterachievements. Without doubt, Lisp has been an influential source of ideas even during its time of retreat. That fact, plus the brilliance of the different Lisp Machine architectures, and the current Lisp renaissance after more than a decade in the wilderness demonstrate that Lisp partisans must have some justification for their smugness. Nevertheless, they have not been able to translate the power of Lisp into a movement with overpowering momentum.

In this essay, I argue that Lisp’s expressive power is actually a cause of its lack of momentum…”

http://www.winestockwebdesign.com/Essays/Lisp_Curse.html