mattermost-webapp VS CPython

I don't know about the quality, but Mattermost is in TS: https://github.com/mattermost/mattermost-webapp

On the web platform end, we merged the upgrade to React 17 (again) into master, and performed a bunch of (more minor) dependency updates while at it. We also continue our journey towards using MUI-based menus.

On the web platform end, we continue the work on menu components, found and fixed the issue that marked a whole lot of channels as unread last week (with GarphQL enabled). We’ve also been working on performance regression tests. And we’re upgrading moar dependencies.

On the web platform end, the team has been working on unifying post components (and cleaning up afterwards), more fighting with Webpack and friends in the context of the front-end part of the multi-product architecture, testing out a prototype of menus based on Material UI, and the regular cycle of dependency updates.

mattermost : https://github.com/mattermost/mattermost-webapp

On the web platform end, beside being overwhelmed by anticipation of the upcoming new joiners, we’re making good progress in getting webpack federation ready to be merged. This will be a solid step towards the multi-product architecture on the front-end. The upgrade to React 17 is also almost there. Beyond that, as mentioned, we’re fixing a few issues in GraphQL before we enable it again on community.

On the web platform end, we are experimenting with “theme weeks” as a budgeting hack to work on important but not urgent stuff. This first theme week (and this will likely be a recurring one) is focused on 🥁 performance! We’re pulling in a whole bunch of tickets accumulated over time of smaller things we can optimize for performance. Some of these improvements are already landing.

Platform involves work in many of our “highest traffic” repositories. I’m still figuring out reasonable ways how to keep up with what’s happening in the webapp, server, mobile repos as well as everything related to QA.

Most projects on GitHub have CONTRIBUTING.md file which describes how you can contribute, so you can start from there. Generally I'd say getting to meaningful contributions is very difficult for someone without real-world development experience, so if you choose to do this it won't be easy. On the other hand, this is precisely why employers prefer people who already have this experience -- it takes time and effort and not everyone makes it even with support from senior collegues.

Mattermost was the closest I was able to find and until their cloud beta finishes you have to setup a server to run them. With a Github or Google identity you are one click away from running Uclusion (and with any email several clicks) - no credit card required.

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.

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.