This is more a diary than a blog. You can find some information we used while working on something. We decided to keep it here, more or less organized, so it may be used by other people that want to reach the same goal. Enjoy!
You can also browse our posts by tag or by category.
Tags
Algorithms Apps Automation Cloud Coding Crontab CSS Data Science Docker Easter egg Electronics Flask Foobar Free Google GUI HDD HTMX JavaScript Latex Linux MacOS MicroPython MinIO MongoDB Multipass NAS Pandas Plaftorm Portainer PyScript Python R Resources Setup SSD Synology Tools Visualization Web Webscraping WebSockets Windows WSL2
Categories
Our latest posts
- A MicroPython client for MinIOTL, DR MicroPython is a fantastic framework to write code for micro controllers. I just created a very simple library to enable those devices uploading files into a MinIO object storage. MinIO object storage I already wrote a couple of blog posts about MinIO (you can check them here), a great self-hosted object storage software.… Continue reading A MicroPython client for MinIO
- Create a MongoDB user from CompassTL, DR MongoDB is one of the leading NoSQL databases, and Compass is its desktop GUI. We will see how we can leverage it to create new users. Creating users from Compass I already provided an introduction to MongoDB and Compass in a previous post for my MongoDB series. In this post we will explore… Continue reading Create a MongoDB user from Compass
- Drop Pandas DataFrame columns only if they existTL, DR Sometimes you need to drop columns in a Pandas DataFrame, but you may not be sure they actually exist. Here a few snippets to do it without raising errors. Safely Dropping Columns That Might Not Exist Sometimes, your dataset might include placeholder or optional columns such as “Unknown”, “Other”, or “None”. You may… Continue reading Drop Pandas DataFrame columns only if they exist
- Calculate metrics on numeric columns only for Pandas DataFramesTL, DR Sometimes you need to calculate averages, minimums, or other metrics from numeric-only columns in a Pandas DataFrame. Here a few snippets to do it. Select numeric columns and calculate metrics You often want to calculate summary statistics like the mean , median , or standard deviation — but you only care about numeric… Continue reading Calculate metrics on numeric columns only for Pandas DataFrames
- Use rsdmx to access dataTL, DR rsdmx is a great R package to access data via SDMX. Sometimes the configuration of parameters to access the data may not be intuitive. Here a quick note from few hours spent trying to access data from ISTAT. Install and import rsdmx This is easily achieved opening R or Rstudio and calling: For… Continue reading Use rsdmx to access data
