These tutorials are for developers who already understand the basics of Python and they would like to expand their knowledge
Most CPU manufacturers are creating multi-core CPUs now. Even cell phones come with multiple cores! Python threads can’t use those cores because of the Global Interpreter Lock. Starting in Python 2.6, the multiprocessing module was added which lets you take full advantage of all the cores on your machine. In this article, you will learn […]
Python 101 – Creating Multiple Processes Read More »
Type checking or hinting is a newer feature of Python that was added in Python 3.5. Type hinting is also known as type annotation. Type hinting is adding special syntax to functions and variable declarations that tell the developer what type the argument or variable is. Python does not enforce the type hints. You can
Type Checking in Python Read More »
What does it mean to profile ones code? The main idea behind benchmarking or profiling is to figure out how fast your code executes and where the bottlenecks are. The main reason to do this sort of thing is for optimization. You will run into situations where you need your code to run faster because
An Overview of Profiling Tools for Python Read More »
In this episode, you will learn the basics of Python decorators and what the are good for. You can read the chapter this screencast is based on here: http://python101.pythonlibrary.org/ or purchase the book on Leanpub You can also read about decorators in a couple of other articles on my blog: Python: All About Decorators Python
Python 101: Episode #25 – Decorators Read More »
Decorators can be a bit mind-bending when first encountered and can also be a bit tricky to debug. But they are a neat way to add functionality to functions and classes. Decorators are also known as a “higher-order function”. This means that they can take one or more functions as arguments and return a function
Python: All About Decorators Read More »
The multiprocessing module was added to Python in version 2.6. It was originally defined in PEP 371 by Jesse Noller and Richard Oudkerk. The multiprocessing module allows you to spawn processes in much that same manner than you can spawn threads with the threading module. The idea here is that because you are now spawning
Python 201: A multiprocessing tutorial Read More »
The other day, I decided I wanted to create a decorator to catch exceptions and log them. I found a rather complex example on Github that I used for some ideas on how to approach this task and came up with the following: # exception_decor.py import functools import logging def create_logger(): “”” Creates a logging
Python: How to Create an Exception Logging Decorator Read More »
Python provides the importlib package as part of its standard library of modules. Its purpose is to provide the implementation to Python’s import statement (and the __import__() function). In addition, importlib gives the programmer the ability to create their own custom objects (AKA an importer) that can be used in the import process. What about
Python 201: An Intro to importlib Read More »
Python has a neat little concept called a property that can do several useful things. In this article, we will be looking into how to do the following: Convert class methods into read-only attributes Reimplement setters and getters into an attribute In this article, you will learn how to use the builtin class property in
Python 201: Properties Read More »
Earlier this week, I wrote a simple post about Python’s Queues and demonstrated how they can be used with a threading pool to download a set of PDFs from the United States Internal Revenue Service’s website. Today I decided to try “porting” that code over to Python’s multiprocessing module. As one of my readers pointed
Python Concurrency: Porting from a Queue to Multiprocessing Read More »