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today's leftovers

Python Programming

  • How to Install Plotly Dash in Python

    In this guide, we'll show you how to install Plotly Dash on your Linux system. You must have Python installed on your system Dash.

  • How to use Python to Calculate Percentage

    In this guide, We will learn how to use the Python IDLE shell to figure out percentages. You can use any IDE you want because the logic doesn't change.

  • Python requirements.txt File

    “We need to employ a lot of modules while creating Python apps for various functionalities. The number of modules a given application uses can be considerable. Generally, it is advised to create a virtual environment tailored to the project when developing such massive programs, as well as smaller ones, because doing so enables us to install anything we want and of any version without overburdening the available package space. The script and dependencies must be installed on the user’s computers for them to utilize the developer. Because the dependencies are set up in a virtual environment, it would be useless to share the entire virtual environment because the folder size would be enormous, and there would be a risk of integrity problems. When this occurs, programmers include a requirements.txt file in the project that contains a list of all the dependencies that have been installed in the virtual environment as well as information on the version that is being utilized. To utilize the program, the borrower or end-user merely needs to set up a virtual environment and install any necessary components. This post will explain how to create the requirements.txt file and install dependencies using it.”

  • Python Argparse Examples

    “The interpretation of command line arguments has been made by the use of the Python module argparse. By providing user input elements to be processed, argparse would be used to give customization and reuse of the program in place of explicitly specifying variables within the function.”

  • Plotly.graph_objects.choroplethmapbox

    According to the aggregated statistics, a choropleth map is a statistical map comprised of colored polygons. It is mainly applied in geographical areas, such as countries, states, counties, and postal codes. When working with statistical analysis, you often encounter scenarios where you must plot a choropleth map. Therefore, this article will discuss how you can create a choropleth Mapbox using Plotly’s graph_objects.

  • Dplotly.graph_objects.choropleth

    A choropleth map, or Choropleth for short, is a map made up of colored polygons that describe data. This tutorial will cover how to create a choropleth map using go.Choropleth.

Android Leftovers


It was really lovely to get back to GUADEC. I loved being around old friends and meeting the new faces within the project. The venue was stellar and I thoroughly enjoyed a lot of the talks this year. For me, my favorite talks were the progressive webapps talk by Phaedrus Leeds, Federico’s meme-filled talk on accessibility, and Rob’s talk about the Endless deployment to Oaxaca, Mexico. [Note: I hope someone goes back to the youtube videos and adds timestamps / links to all the talks. It would be easier to find and browse them. ] On my part, I gave a talk on GNOME Crosswords and participated on a panel on how to get a Job with Free Software. The crosswords talk in particular seemed pretty successful. It had a great article written about it in (thanks Jake!), which lead to an increase in bug reports and crossword contributions. One observation: it felt that attendance was down this year. I don’t know if it was Covid or Mexico, but some combination led to a smaller crowd than usual. I saw that there was a mini-GUADEC in Berlin as well (which I’ll assume was a lagging indicator of the above and not a cause.) Read on