elf VS CPython

> What do you develop with Arc usually?

I try to use Arc for as much as possible. We wrote our TPU monitoring software in it: http://tensorfork.com/tpus

Eventually I became frustrated with Racket's FFI. So I eventually made my own arclike language called elflang: https://github.com/elflang/elf

... which itself is a fork of Lumen (https://github.com/sctb/lumen) by Scott Bell.

The performance is good enough to run a minecraft-style game engine: https://i.imgur.com/iyr0YrB.png which was satisfying.

Nowadays I've been trying to implement Bel, mostly for the challenge of it than for any practical reason.

> I like how the "html" and "css" part was embedded in that "news.arc" file. Do you think that VIM script will highlight and lint the "css" part of an "arc" file?

Nope. https://i.imgur.com/o9aUG6j.png

But it has one very important feature: it can properly highlight atstrings: https://i.imgur.com/wO4f742.png

It's probably hard to tell, but the "@(hexrep border-color*)" would normally be highlighted as if it were a string. Arc has a feature called atstrings, where you can use @foo to reference the enclosing variable "foo". It can also call functions, e.g. "The value of 1 plus 2 is @(+ 1 2)" will become "The value of 1 plus 2 is 3".

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!