In this post we’re going to study the third-grade algorithm to compute the product of two numbers, and we’re going to compare it with a much more efficient algorithm: The Karatsuba multiplication algorithm.
Did you know that these two algorithms are the ones used in the built in Python multiplication?
We will talk about the Order of both algorithms and give you Python implementations of both of them.
In this post we’ll talk about the Atom editor which is, as they say, A hackable text editor for the 21st Century.
It’s a really nice, open source and modern editor, with a broad community that provides different and new packages and functionalities. Have you tried it yet?
Here, you’ll learn how to install it and how to configure it to write Python code. Let’s start! 🙂
Imagine what would you do if you could automate all the repetitive and boring activities you perform using internet, like checking every day the first results of Google for a given keyword, or download a bunch of files from different websites.
In this post you’ll learn to use Selenium with Python, a Web Scraping tool that simulates a user surfing the Internet. For example, you can use it to automatically look for Google queries and read the results, log in to your social accounts, simulate a user to test your web application, and anything you find in your daily live that it’s repetitive. The possibilities are infinite! 🙂
When running a complex Python program that takes quite a long time to execute, you might want to improve its execution time. But how?
First of all, you need the tools to detect the bottlenecks of your code, i.e. which parts take longer to execute. This way, you can concentrate in speeding these parts first.
And also, you should also control the memory and CPU usage, as it can point you towards new portions of code that could be improved.
Therefore, in this post I’ll comment on 7 different Python tools that give you some insight about the execution time of your functions and the Memory and CPU usage.
Do you want to share a Python script to a friend that doesn’t have Python installed? In this post you’ll learn how 🙂
With the py2app package you can compile a Python script and create a portable Mac application. If you’re using windows, you can check py2exe.
In this post you will learn to create a Python script that allows users to enter its Google Analytics account and get information from there.
In order to do that, we will create a Project in the Google Developers Console and authorize it to use the Analytics API.
Next, we will use the Oauth 2.0 protocol to allow users to connect to their Analytics account through our Project.
And finally, we will retrieve the number of sessions of our view, segmented by traffic source.
This post explains how to install Python 3 in a Mac OS X, both Mavericks and Yosemite. Check this post if you want to clean install Python 2.7. You can also install both! 🙂
It also shows how to use virtualenv and virtualenvwrapper with Python 3. Don’t miss it!
This post explains how to install a clean version of Python in a Mac OS X Mavericks/Yosemite.
You’ll also learn to install and use the virtualenv and virtualenvwrapper tools to create virtual environments for your projects.
Learn how you should modify the __add__ method of a Python class to be able to add two instances of a custom object. We also talk about the __radd__ method, necessary to sum a list of instances.
The Python datetime library provides several useful objects to manipulate times and dates. I’ve been using them a lot lately, and I want to share some useful operations that might be useful to you as well 😉
You can find a video version of this post at the bottom of the page 🙂