CPython VS ruby

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!

To create a new Rails app, you should have Ruby and Rails installed on your machine. You can find how to install Ruby on your local machine using the Ruby docs. You can install Rails by running the following command:

Ruby testing with RSpec

Not parent poster and do not have production YJIT experience. =)

My guess is that you would monitor `RubyVM::YJIT.runtime_stats[:code_region_size]` and/or `RubyVM::YJIT.runtime_stats[:code_gc_count]` so that you can get a feel for a reasonable value for your application, as well as know whether or not the "code GC" is running frequently.

https://github.com/ruby/ruby/blob/master/doc/yjit/yjit.md#pe...

Link to the commit

Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.

Hold option and click on the “collapse file” button in the Files view of a commit or pull request, and it will collapse all the files.

Select text in a comment, issue, or pull request description and press r—the selected text (including markdown formatting) will get pre-populated as a markdown block quote reply in the next comment box.

Add .patch or .diff to any pull request URL if you want to see a plain-text diff of the pull request (e.g. maybe you want to quickly `curl ... | git apply -` an unmerged pull request into a local copy of the repo without trying to add and fetch the git remote that the pull request is from).

There are lots of keyboard shortcuts. For example, / to jump to the file finder.

Not so much a secret but more like a hiding in plain sight: when looking at a commit GitHub will show you the earliest and latest tag (i.e. release) that includes the commit. For example, this commit[1] first appeared in v3_2_0_preview3.

[1]: https://github.com/ruby/ruby/commit/892f350a7db4d2cc99c5061d...

The title is misleading, just like other commenters mentioned. Just check how much indirection "rb_iv_get()" has to make (at the end, it will call [1], which isn't "a light" call). Now, check generated JIT code (in a blog post) for the same action where JIT knows how to shave off unnecessary indirection.

We are comparing apples and oranges here.

[1] https://github.com/ruby/ruby/blob/b635a66e957e4dd3fed83ef1d7...

I'm not sure why, but all the source values are listed here: https://github.com/ruby/ruby/blob/1cc700907d3ad3368272488a6f...

Maybe someone knowledgeable in the underpinnings of Ruby will explain why "class variable" was not hyphenated.