Python Regular Expressions Tutorial

A series on using regular expressions with Python, with examples. Including matching characters, repetitions, captured groups, assertions, and functions.

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Python Recursive File and Directory Manipulation

A small series on using recursion in Python, by iterating directories and modifying files.

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Encoding and Decoding Python Strings Series

A 2-part tutorial series on encoding and decoding strings in Python 2.x and Python 3.x.

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Python Classes Tutorial

A tutorial series on Python classes. It includes creating class methods, variables, inheritance, and generators.

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Using Python’s Tabnanny Module for Cleaner Code

Tabnanny is a module in Python that checks your source code for ambiguous indentation. This module is useful because in Python, white space isn’t supposed to be ambiguous, and if your source code contains any weird combinations of tabs and spaces, tabnanny will let you know. You can run tabnanny in one of two ways, […]

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Python Resources: Training Videos

Sometimes the best way to get acquainted with a new language or a new technique is to watch someone else do  it first, and then jump in to try for yourself. If you like to learn that way and are wanting to improve your Python skills, check out any of the training videos or video […]

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The Difference Between __str__ and __repr__

__str__ and __repr__ are used in very similar ways in Python, but they’re not interchangeable. __str__ is a built in function used to compute the informal string representations of an object, while __repr__ must be used to compute the official string representations of an object. The visible difference between the informal and official representations has […]

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Python Comparison Operators

In Python, comparison operators are used to compare the values on either side of the operators and then decide the relationship between them (sometimes they’re also referred to as relational operators). What follows is a complete list of the comparison operators in Python. Some of them might be pretty self-explanatory, while others you may have […]

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Python’s null equivalent: None

What is the null or None Keyword The null keyword is commonly used in many programming languages, such as Java, C++, C# and Javascript. It is a value that is assigned to a variable. Perhaps you have seen something like this: null in Javascript

null in PHP

null in Java

The concept […]

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Memory-Mapped (mmap) File Support in Python

What is a Memory-Mapped File in Python From Python’s official documentation, be sure to checkout Python’s mmap module: A memory-mapped file object behaves like both strings and like file objects. Unlike normal string objects, however, these are mutable. Basically, a memory-mapped (using Python’s mmap module) file object maps a normal file object into memory. This […]

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Lambda Function Syntax (Inline Functions) in Python

Python’s syntax is relatively convenient and easy to work with, but aside from the basic structure of the language Python is also sprinkled with small syntax structures that make certain tasks especially convenient. The lambda keyword/function construct is one of these, where the creators call it “syntactical candy”. Here we’ll examine how to use them. To understand the lambda keyword/function and their […]

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Catching Python Exceptions – The try/except/else keywords

Often times when coding a python masterpiece, there are certain things that could go wrong when executing your masterfully designed code. Things such as files or directories that are missing, empty strings, variables that are supposed to be strings but are actually arrays at run-time. These things are called exceptions in Python. This is what […]

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Cutting and slicing strings in Python

Python strings as sequences of characters Python strings are sequences of individual characters, and share their basic methods of access with those other Python sequences – lists and tuples. The simplest way of extracting single characters from strings (and individual members from any sequence) is to unpack them into corresponding variables.

Unfortunately, it’s not […]

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Python Decorators Overview

Decorators in Python seem complicated, but they’re very simple. You’ve probably seen them; they’re the odd bits before a function definition that begin with ‘@’, e.g.:

Note the function called decorator; it takes a function as an argument and defines and returns a new function that uses the one it was passed. That pattern […]

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