Mastering Asynchronous Python: Building High-Performance Applications with asyncio

Picture this: you’re at a coffee shop, and there’s only one barista. In the synchronous world, this barista would take your order, grind the beans, brew your coffee, serve it, clean the machine, and only then move on to the next customer. Meanwhile, twenty people are standing in line, tapping their feet and checking their watches. Sound inefficient? Welcome to the world before asyncio. Now imagine that same barista can take multiple orders, start several brewing processes, and serve ready coffees while others are still brewing....

August 13, 2025 · 13 min · 2659 words · Maxim Zhirnov

Освоение асинхронного Python: создание высокопроизводительных приложений с помощью asyncio

Представьте себе: вы в кофейне, и там всего один бариста. В синхронном мире этот бариста примет ваш заказ, помолет зёрна, приготовит кофе, подаст его, почистит машину и только потом перейдёт к следующему клиенту. Тем временем двадцать человек стоят в очереди, постукивая ногой и проверяя часы. Звучит неэффективно? Добро пожаловать в мир до asyncio. Теперь представьте, что тот же бариста может принимать несколько заказов, запускать несколько процессов приготовления и подавать готовые кофе, пока другие ещё готовятся....

August 13, 2025 · 5 min · 943 words · Maxim Zhirnov

The Fallacy of 'Always Use a Framework': When Vanilla JS/Python/etc. is Better

Picture this: you walk into a modern development team meeting, casually mention you’re building something in vanilla JavaScript, and suddenly everyone’s looking at you like you just suggested using a stone tablet for documentation. “But why not React?” they ask, eyes wide with concern. “What about Vue? Angular? Surely you’re not going bare metal in 2025?” Well, buckle up, because I’m about to commit what some consider development heresy: sometimes, just sometimes, vanilla code isn’t just acceptable—it’s superior....

August 6, 2025 · 14 min · 2912 words · Maxim Zhirnov

Building Natural Language Wizards: A Deep Dive into spaCy Magic

Natural Language Processing (NLP) is like trying to read backwards through a prism – complex, but when you crack the code, suddenly text becomes malleable magic. With spaCy, we don’t just analyze words; we become text whisperers. Let’s build an NLP system that understands, dissects, and maybe even laughs at your terrible puns. Installation & Initial Setup Before we channel our inner Sherlock Holmes of text analysis, we need the right tools....

July 29, 2025 · 4 min · 713 words · Maxim Zhirnov
Building a No-Frills Speech Recognition System with DeepSpeech and Python

Building a No-Frills Speech Recognition System with DeepSpeech and Python

The Whispering Code: Making Machines Listen Speech recognition feels like modern wizardry – you talk, and machines obediently transcribe your words. But unlike magic wands, we have DeepSpeech, Mozilla’s open-source speech-to-text engine that turns audio waves into readable text. Let’s build a system that listens more attentively than my dog when he hears the treat jar open. DeepSpeech Under the Hood DeepSpeech uses end-to-end deep learning to convert audio directly to text, skipping intermediate representations like phonemes....

July 21, 2025 · 3 min · 593 words · Maxim Zhirnov