dotfiles VS CPython

True, but you can represent that in the db as a a CLI invocation to run in a subshell.

The big gain from something like carapace or my theoretical SQLite-based completion system is faster startup time. I had to remove zsh-completions from my shell setup as it added too much to the startup time (https://github.com/bbkane/dotfiles/blob/master/zsh/README_no...)

"small embeddable dynamic languages" are usually used to configure or program other larger compiled applications. This is bes understood by example:

https://create.roblox.com/docs/tutorials/scripting/basic-scr... - make a mini game in Roblox

https://github.com/openresty/lua-nginx-module?tab=readme-ov-... - configure and extend NGINX

https://wezfurlong.org/wezterm/config/lua/general.html - make your terminal more useful (my personal config changes the tab color based on the process name - https://github.com/bbkane/dotfiles/blob/master/wezterm/dot-c...

https://m.youtube.com/watch?v=MQBr9hwf0BY - configure your text editor

I switched to iTerm2 a few years ago due to blurry fonts on zoom with Terminal.app . Wonder if that's still a problem?

A few months ago I switched to WezTerm and, after some config wrestling, I've been very happy using it (https://github.com/bbkane/dotfiles/tree/master/wezterm).

Yes, but it's super awkward to actually use day to day

I've got something of a wrapper script at https://github.com/bbkane/dotfiles/blob/8573e44d0f9fb5ddcbdc...

It doesn't read from files unfortunately, but https://openobserve.ai/ is very easy to set up locally (single binary) and send otel logs/metrics/traces to.

Here's how I run it locally for my little shovel project - https://github.com/bbkane/shovel#run-the-webapp-locally-with... .

Also linked from that README is an Ansible playbook to start OpenObserve as a systems service on a Linux VM.

Alternatively, see the shovel codebase I linked above for a "stdout" TracerProvider. You could do something like that to save to a file, and then use a tool to prettify the JSON. I have a small script to format json logs at https://github.com/bbkane/dotfiles/blob/2df9af5a9bbb40f2e101...

That sounds super similar my setup ( https://github.com/bbkane/dotfiles/tree/master/zsh ). I'll check out a few of those I haven't yet.

Here's a small script I use often to tag commits with Git.

It shows the current status, lists out the most recent tags, prompts for a new tab and message, and finally pushes.

Everything is colorized so it's easy to read and I use it quite often for Golang projects.

https://github.com/bbkane/dotfiles/blob/e30c12c11a61ccc758f7...

Ooh I'm doing this too, but with Python to add a "category" field (based mostly on description), nushell to munge the CSV into more CSVs so I can build html charts and tables with this script. in my opinion, transforming the two original CSVs (checking account and credit card history) into the html doc with all the charts is best done as this sort of pipeline so you can replace bits as you find better alternatives (for example I started with SQLite instead of nushell for the "child CSV" parts)

I use https://github.com/bbkane/dotfiles/blob/master/bin_common/bin_common/git_lines_changed_tsv.sh to turn this into a tsv which can then be charted by piping to https://github.com/bbkane/dotfiles/blob/master/bin_common/bin_common/scatterplot.py .

Thankfully, Python, the go-to coding language for loads of developers, is here to save the day. It's got some awesome features for diving into text sentiment analysis. With cool libraries like Tweepy, we can sift through X(Twitter) data and snag those interesting tweets about Bitcoin. And then there's TextBlob, a clever tool for understanding the sentiment in text. When it's time to clean up and organize all that data, libraries like pandas and numpy are there to help out. And let's not forget about matplotlib, the master of visualisations that can help us see the trends in sentiment crystal clear. Armed with these tools, developers can really dig deep into social media data and figure out what the general public thinks about Bitcoin.

Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.

Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.

Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!

Have you ever found yourself in a situation where you needed to convert a bunch of images into a PDF file quickly and efficiently? Imagine the convenience of converting a series of images from your recent trip into a single PDF album with just a few clicks. In this article, we will cover the process of building an Image PDF Converter App using Python. With the help of libraries like tkinter, os, and Python Imaging Library (PIL), we'll walk through the process of creating a powerful tool that can streamline this task for you.

If you've ever wanted to learn how to use Python or if you already know a bit and want to try something new, then you're in the right place! In this article, we'll show you step-by-step how to make your very own calculator using Python's Tkinter library, a renowned Python library for creating graphical user interfaces. Tkinter stands out for its simplicity, versatility, and widespread use in the Python community. It doesn't matter if you're a total beginner or an experienced coder looking for a fun project, we'll guide you through everything you need to know.