Source code: Lib/operator.py The operator module exports a set of efficient functions corresponding to the intrinsic operators of Python. For example, operator.add(x, y) is equivalent to the expres...| Python documentation
An iterable object is an object that implements __iter__, which is expected to return an iterator object. | wiki.python.org
In the chapter on "Mutation-Based Fuzzing", we have seen how to use extra hints – such as sample input files – to speed up test generation. In this chapter, we take this idea one step further, by providing a specification of the legal inputs to a program. Specifying inputs via a grammar allows for very systematic and efficient test generation, in particular for complex input formats. Grammars also serve as the base for configuration fuzzing, API fuzzing, GUI fuzzing, and many more.Prereq...| www.fuzzingbook.org
Title is literally true. This may not be the best place to learn about these concepts for the first time, because I'm going to focus on knocking down the misconceptions about them.| jerf.org
Title is literally true. This may not be the best place to learn about these concepts for the first time, because I'm going to focus on knocking down the misconceptions about them.| www.jerf.org
Python's built-in functions list includes 71 functions now! Which built-in functions are worth knowing about? And which functions should you learn later?| www.pythonmorsels.com
You know Python is essential for a data engineer. Does anyone know how much one should learn to become a data engineer? When you're in an interview with a hiring manager, how can you effectively demonstrate your Python proficiency? Imagine knowing exactly how to build resilient and stable data pipelines (using any language). Knowing the foundational ideas for data processing will ensure you can quickly adapt to the ever-changing tools landscape. In this post, we will review the concepts you n...| www.startdataengineering.com
In this complete guide to the Python itertools library, you’ll dive into every single function available with easy-to-follow and practical examples. The itertools library is a hidden gem that comes bundled with Python and continues to grow. On the surface, many of the functions seem simple. Their power, however, is deepened when working with large… Read More »Python itertools: A Complete Guide to Every Function| datagy
Author, Guido van Rossum,. This article explains the new features in Python 3.0, compared to 2.6. Python 3.0, also known as “Python 3000” or “Py3K”, is the first ever intentionally backwards incomp...| Python documentation
This year’s Advent of Code is just around the corner! I had a lot of fun with these puzzles last year, so in honor of the occasion I thought I would share some of the things I learned over the course of the challenge. For the unfamiliar, Advent of Code is an Advent calendar where a new programming puzzle unlocks each day of December (from the 1st through the 25th). Each puzzle has a part 1 and a part 2, where part 2 is usually a more complicated variation on the first part.| kennethjenkins.net
Regular expression generation| skeptric.com
Python generators are mighty, but they lack a couple of useful features. One of them is peeking the next item without consuming the generator. Even better, what if we could peek any number of items? …| ricardoanderegg.com
Source code: Lib/random.py This module implements pseudo-random number generators for various distributions. For integers, there is uniform selection from a range. For sequences, there is uniform s...| Python documentation
In which we search for a needle in a lendee | blogs.perl.org
>>>, The default Python prompt of the interactive shell. Often seen for code examples which can be executed interactively in the interpreter.,,..., Can refer to:- The default Python prompt of the i...| Python documentation
Source code: Lib/functools.py The functools module is for higher-order functions: functions that act on or return other functions. In general, any callable object can be treated as a function for t...| Python documentation
The Python interpreter has a number of functions and types built into it that are always available. They are listed here in alphabetical order.,,,, Built-in Functions,,, A, abs(), aiter(), all(), a...| Python documentation
... in which we solve the day 17 problem from Advent of Code 2020, Conway Cubes, in a generic way, focusing on testing, refactoring, and idiomatic Python, in a way that helps you translate those skills to your regular, non-puzzle coding.| death and gravity
By the end of this article, you’ll thoroughly understand Big O notation. You’ll also know how to use it in the real world, and even the mathematics behind it! In computer science, time complexity is the computational complexity that describes the amount of time it takes to run| Skerritt.blog