What you need to know to solve basic combinatorial generation problems you might encounter on coding interviews, with plenty of examples in Python.
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From An Iterator of Iterators to Cantor's Paradise: A Deep Dive Into An Interview Question
A deep dive into flattening an iterator of iterators and a segue into set theory and some of its theorems based on the solutions to this problem, inspired by a coding interview question.
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Generating All Balanced Parentheses: A Deep Dive Into An Interview Question
A deep dive into the generation of balanced parentheses, inspired by a coding interview question.
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A Review of Basic Algorithms and Data Structures in Python - Part 1: Graph Algorithms
A quick review of basic graph algorithms and related data structures, with minimal implementations and unit tests provided in Python.
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Fun With Python Coroutines: Generating Permutations
A very short post on having fun with coroutines to generate all permutations of a given list.
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The Infinite In Haskell and Python
Exploring the use of coroutines and lazy evaluation to generate infinite structures in Haskell and Python.
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Understanding Recurrence Relations Using Automata, Python Code, And Javascript Visualizations
Recurrence relations are very often taught in first- or second-year computer science and discrete mathematics courses. This post takes a somewhat different and more visual approach to understanding linear recurrences and solving them by drawing the link between linear recurrences, automata, and matrices, using the problem of generating all domino-tilings of a board as the springboard. Code in Python and visualizations in JavaScript are used to demonstrate the ideas.
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Understanding Asynchronous IO With Python's Asyncio And Node.js
An exploration of asynchronous IO, event loops, threads, and coroutines through code written for Node.js and Python 3.4.
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Visualizing Philosophers And Scientists By The Words They Used With Python and d3.js
Creating a word-cloud based off of publicly available project Gutenberg books, with d3.js and Python.
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Understanding SAT by Implementing a Simple SAT Solver in Python
SAT is often described as the "mother of all NP-complete problems." This post goes over what SAT is and why it is considered to be so important. A simple SAT solver is implemented using Python in the process.
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Combinatorial Generation Using Coroutines With Examples in Python
Approaching combinatorial generation algorithms using coroutines, with examples in Python. Inspired by Knuth's work in his volume 4 of The Art of Computer Programming, as well as his "Deconstructing Coroutines" paper, co-written with Frank Ruskey.
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30 Python Language Features and Tricks You May Not Know About
A list of Python tips and tricks. See how many of them you already know.
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Multilinear Representation of Boolean Functions
Algorithm to compute the multilinear representation of a boolean function given its truth table.
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Understanding Two-Step Verification With An Example Using Python and Google Authenticator
An introduction to two-step authentication, HOTP and TOTP algorithms, with an example in Python on Heroku using Flask and pyotp and the Google Authenticator app for client-side.
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Programmer's Guide to Setting Up a Mac OS X Machine
My list of items to do to set up a Mac OS X machine for coding and other power user tasks.
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Common Substring Permutation
Short post on a simple problem on common subsequence permutations with a neat one-line Python solution.
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Basics of Cryptography Part I: RSA Encryption and Decryption
An introduction to RSA cryptography, with accompanying Python code implementing the basic algorithms used. A quick review of the number theory and group theory involved is given as well.
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A Study of Python's More Advanced Features Part III: Classes and Metaclasses
A study of how Python handles classes and metaclasses.
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A Study of Python's More Advanced Features Part II: Closures, Decorators and functools
A study of Python's function and class decorators. An appendix to explain Python's closures is given too. Plenty of examples.
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A Study of Python's More Advanced Features Part I: Iterators, Generators, itertools
A study of Python's iterators, generators and the itertools package, with ample (mostly) mathematical examples.
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