At Python Friday #100 I asked for topics to cover in this blog series. The request from kiquenet to cover Twitter offers interesting challenges that we will explore over the next weeks. Today we start with the basics and post our first tweet.
Whenever I need to find values that are part of one list but not another one, I like to work with set operations. I find them more elegant than looping through the lists. Let’s look what Python to solve this problem.
When you write scripts you often need to ask the user for an input. Let's look how we can do that in Python.
As last week's post showed, our application gets its own copy of the environment variables when we start it. Would it not be great if we could extend that specific copy to include sensitive configuration values like API keys? We can achieve this with a .env file and this post shows you how to do that.
Environment variables are a useful way to store computer specific configuration values, like the home directory of the user or the temp folder. Let's look how we can access the environment variables from our Python code.
While working through a Pluralsight course I noticed a strange looking command that seams to make no sense: '-' * 100. As it turns out, we can multiply strings in Python and this provides some nice amenities for our cli applications.
Last week we looked at how to import data into pandas. With this problem solved, we can now move on to the more interesting task of converting our data into a pivot table.
Until now I use Excel to make a Pivot out of my data stored in CSV files. While this works, I need a lot of manual steps that are cumbersome and time-consuming. Pandas offers an automatable way to do this task, but before I can create the pivot, I need to import my data. Let us look how we can do this part with pandas.
RSS feeds are a nice way to get informed when your favourite bloggers post new content. Let's find out how we can work with those feeds in Python.
After creating dev containers for Ruby, Rails and .Net 6 it is time to take a look at Python and how we can put our development environment into a Docker container.