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Under the Hood: Python Comparison Breakdown

Posted by AJ Kerrigan on Sun 27 October 2019 in Concepts • Tagged with guest, learning, dis, precedence, chaining • 5 min read

Use Python's "dis" module to see how Python evaluates two similar comparison operations.


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Linting with Flake8

Posted by Julian on Tue 08 October 2019 in Concepts • Tagged with python, beginner, learning, examples, code, linking, flake8 • 6 min read

What the heck is linting? Let's dive into the concept and talk about how flake8 can help us make our code better.


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A Short Primer on Assemblers, Compilers and Interpreters

Posted by Erik O'Shaughnessy on Tue 09 October 2018 in Concepts • Tagged with computer, programming, history, interpreters, assembly, C, high level languages, math • 6 min read

A gentle introduction to the historical evolution of programming practices.


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A Python Orientation - How to Get Started

Posted by Andrew Knight on Fri 17 August 2018 in Concepts • Tagged with guest, 2vs3, CPython, PyPy, MicroPython, pip, pipenv, venv, virtualenv, Conda, editors, Pythonic, Pythonista, Zen of Python, pycon, PSF, BDFL, overview, reference • 5 min read

Python is a wonderful language for both beginners and expert programmers, but getting started can be daunting. Which version should I use? Which editors are best? What do you mean there are different implementations and environments? Here's a guide to help navigate these big FAQs.


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Learning Python Decorators by Example

Posted by Bob on Fri 20 October 2017 in Concepts • Tagged with decorators, design patterns, logging, caching, memoization, Flask, Django, properties, classmethod, staticmethod, lru_cache, mock.patch, contextmanager • 4 min read

Decorators are a sometimes overlooked feature and they might be hard to grasp for beginning Pythonistas. I agree with Aaron Maxwell that mastering them "can massively magnify the positive impact of the code you write", so make sure you add them to your toolkit if not done so already. In this article I explain what they do, why you want to use them and give some practical examples.


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The Importance of Refactoring Code

Posted by Julian on Thu 13 July 2017 in Concepts • Tagged with python, beginner, learning, examples, code, refactoring • 4 min read

In this quick post I discuss why refactoring code is one of the most important parts of the learning process.


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Next Time I Will Use Pandas to Parse Html Tables

Posted by Bob on Thu 08 June 2017 in Concepts • Tagged with BeautifulSoup, regex, Pandas, parsing, data, data cleaning, energy, json, csv, html • 2 min read

Last week I did some html table parsing with BeautifulSoup and regex. It turns out there is an easier way to do this: Pandas.


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OOP Beyond the Basics: Using Properties for Encapsulation, Computation and Refactoring

Posted by Bob on Wed 31 May 2017 in Concepts • Tagged with oop, property, decorators, encapsulation, computation, dunder, refactoring, pytest, 2vs3, getter, setter • 4 min read

In this article I share my learning of the property decorator coding a simple Account class. I think it's an unmissable tool in your (Python) OOP toolkit.


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Generators are Awesome, Learning by Example

Posted by Julian on Fri 17 March 2017 in Concepts • Tagged with python, tips, code, pybites, generators, iteration, yield • 5 min read

Learn what a Generator is and check out some different examples.


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Don't let mutability of compound objects fool you!

Posted by Bob on Tue 07 March 2017 in Concepts • Tagged with list, mutable, copy, deepcopy • 3 min read

In this article I explain the difference between shallow versus deep copy with a working example. It's an important concept when working with compound objects.


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