A comprehensive guide that takes you from the basic to advanced concepts in the Python programming language.
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 […]Read More
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 […]Read More
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 […]Read More
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.
>>> s = 'Don'
>>> a, b, c = s # Unpack into variables
Unfortunately, it’s not […]Read More
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.:
return fn(n) + 1
return n + 1
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 […]Read More
Sometimes we need to generate lists which follow some natural logic, such as iterating over a sequence and applying some conditions in them. We can use Python’s “list comprehension” technique to write compact codes to generate lists. We can loop through a sequence, and apply logical expression. First, let’s look at a special function range […]Read More
While programming in Python, there will likely be times where you have some data that needs to be utilized or manipulated in the form of a file but hasn’t yet been written to one. Naturally, the first solution that comes to mind is to open a new or existing file, write the data and finally […]Read More
Manipulating files is an essential aspect of scripting in Python, and luckily for us, the process isn’t complicated. The built-in open function is the preferred method for reading files of any type, and probably all you’ll ever need to use. Let’s first demonstrate how to use this method on a simple text file. For clarity, […]Read More
Overview of Python Lists and Tuples Two of the most commonly used built-in data types in Python are the list and the tuple. Lists and tuples are part of the group of sequence data types—in other words, lists and tuples store one or more objects or values in a specific order. The objects stored in […]Read More
The Python Dictionary (dict): An Overview Among the built-in Python data types is a very versatile type called a dictionary. The dictionary is similar to lists and tuples because they act as storage units for other objects or variables you’ve created. Dictionaries are different from lists and tuples because the group of objects they hold […]Read More