Hi! I'm Vicente, your friendly Filipino mod for the python tag. Today, is another episode of the Top Python Posts of the week!
Hope you'll follow along!
I didn't want to sit spamming speedtest.net to check when my speeds were getting low. I wanted to know if there had been dips. Were the dips at the same times? Was there a pattern? I needed data and some data visualization to know if/when I might be eligible for any discounts and whether it was worth pursuing.
In this post, which can be read as a follow up to our ultimate web scraping guide, we will cover almost all the tools Python offers you to web scrape. We will go from the more basic to the most advanced one and will cover the pros and cons of each. Of course, we won't be able to cover all aspect of every tool we discuss, but this post should be enough to have a good idea of which tools does what, and when to use which.
Just to quickly get our feet wet, we are going to create the classic “Hello World” web page. This program will also help you check that you have properly installed Flask.
It’s pretty amazing but the Hello World! program in Flask is seven code lines long. Those seven lines of code are sufficient to create a simple web page.
Automation. It’s supposed to make work easier. So, why not help it along?
We will start by developing then deploying a simple Python application (a Flask API that returns the list of trending repositories by programming language).
See you again next week!
Dead Simple Python: Generators and Coroutines
Jason C. McDonald -
Grokking Algorithms - Best Data Structure and Algorithms Book for Beginners with Python
Configurar un entorno de desarrollo para Rust y Python
Mario García -
Deploy Your Django + React.js app to Heroku
Shakib Hossain -