Note: This blog post is also available as a documentation page on Transformers. Large Language Models (LLMs) such as GPT3/4, Falcon, and LLama are rapidly advancing in their ability to tackle human-centric tasks, establishing themselves as essential tools in modern knowledge-based industries. Deploying these models in real-world tasks remains challenging, however: To exhibit near-human text unders
I often come across developers who know the mechanics of Python error handling well, yet when I review their code I find it to be far from good. Exceptions in Python is one of those areas that have a surface layer that most people know, and a deeper, almost secret one that a lot of developers don't even know exists. If you want to test yourself on this topic, see if you can answer the following qu
A Walk with LuaJIT
The following is a chronicle of implementing a general purpose zero-instrumentation BPF based profiler for LuaJIT. Some assumptions are made about what this entails and it may be helpful to read some of our other work in this area. One major change from prior efforts is that instead of working with the original Parca unwinder we are now working with the OpenTelemetry eBPF profiler. If you missed t
What's new in Python 3.11?
What's new in Python 3.11?Built-in TOML support, better exceptions, and typing improvements. By Tushar·InsightsPython The first beta release of Python 3.11 is out, bringing some fascinating features for us to tinker with. This is what you can expect to see in 2022's release of Python later this year. Even better error messagesPython 3.10 gave us better error messages in various regards, but Python
Statically typed programming languages can help catch mismatches between the kinds of values a program is intended to manipulate, and the values it actually manipulates. While there have been many bytes spent on discussions of whether this is worth the effort, some programming language designers believe that the type checking in current languages does not go far enough. Koka, an experimental funct
If you are a Rubyist, you’ve likely been writing # frozen_string_literal: true at the top of most of your Ruby source code files, or at the very least, that you’ve seen it in some other projects. Based on informal discussions at conferences and online, it seems that what this magic comment really is about is not always well understood, so I figured it would be worth talking about why it’s there, w
We now live in a world where ML workflows (pre-training, post training, etc) are heterogeneous, must contend with hardware failures, are increasingly asynchronous and highly dynamic. Traditionally, PyTorch has relied on an HPC-style multi-controller model, where multiple copies of the same script are launched across different machines, each running its own instance of the application (often refer
はじめに お疲れ様です。矢儀 @yuki_ink です。 こちらのAWS公式ハンズオンをやってみました。 ECSとFargate/EC2を利用した環境構築から、CI/CDパイプラインを利用したデプロイまで、一通り体験できる素晴らしいハンズオンでした。 次のようなみなさんにおすすめです。 ECSを知識として知ってはいるが、実際に触ったことがない コンテナの何が優れているのか、実感を持っては理解できない CI/CDパイプラインでコンテナをデプロイしてみたい ハンズオンで構築する環境の構成イメージはこちら。 1. VS Code Serverの構築 このハンズオンでは、開発環境として Visual Studio Code Server (VS Code Server) を利用するとのことで、まず、CloudFormationでVS Code Serverを構築していきます。 ハンズオンページの
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Technology Trends for 2024
This has been a strange year. While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming t
An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier
Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.56.1: The update addresses these security issues. Update 1.56.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2021 release of Visual Studio Code. The VS Code team has been busy this month working
Temporal Python SDK: A durable, distributed asyncio event loop We are excited about the GA release of the Temporal Python SDK. Python is now a fully-supported workflow language in Temporal, and our use of native asyncio constructs makes it a perfect fit for Python developers looking to write durable workflows. Here are some links to read more about Temporal Python: Repository Application Developme
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? はじめに 先日、初めて公開Webサービスを作ってみた。 【個人ブログのためのSEOツール】キーワードの重要度比較 ブログのSEO対策ツールで、自分のURLと競合ページのURLを入力するとそれぞれのページに含まれるキーワード別の重要度がわかる、というものだ。 これ、このページの下の方に書いた通り、いろんなライブラリの寄せ集めで、ぼくは何も難しいことをしていないんだけど、何しろ初めて公開Webサービスを作ったので、色々試行錯誤があった。 だれもがはじめて作るときは初心者だ。 初心者には初心者なりの悩みがある。 これからWebサービスを作りた
Python behind the scenes #12: how async/await works in Python
Mark functions as async. Call them with await. All of a sudden, your program becomes asynchronous – it can do useful things while it waits for other things, such as I/O operations, to complete. Code written in the async/await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency,
10 Smart Performance Hacks For Faster Python Code | The PyCharm Blog
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Python Interview Questions
Here is a list of common Python interview questions with detailed answers to help you prepare for the interview as a Python developer. Python, with its versatile use cases and straightforward syntax, has seen its popularity growing continuously in software development, data science, artificial intelligence, and many other fields. As such, interviews for Python-related positions are designed not on
Django for Startup Founders: A better software architecture for SaaS startups and consumer apps
In an ideal world, startups would be easy. We'd run our idea by some potential customers, build the product, and then immediately ride that sweet exponential growth curve off into early retirement. Of course it doesn't actually work like that. Not even a little. In real life, even startups that go on to become billion-dollar companies typically go through phases like: Having little or no growth fo
[Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s
In Data Science, we primarily use Python as a programming language to perform operations on the available datasets. This article will discuss concepts and details for using Pythons to simplify data operations in data science. Pros and Cons of Python for Data OperationsEven though the pros outweigh the cons, it is crucial to look at both aspects. So, let’s have a look at the advantages and limitati
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Optimizing your LLM in production
The Ultimate Guide to Error Handling in Python
The Koka programming language
Frozen String Literals: Past, Present, Future?
Introducing PyTorch Monarch – PyTorch
AWS公式のECSハンズオンがとても良かった!! - Qiita
What's New in Emacs 28.1?
The AI-Native Software Engineer
April 2021 (version 1.56)
Temporal Python SDK | Durable Asyncio Event Loop
初めて公開Webサービス作ってみた奮闘の記録 - Qiita
Philosophy of coroutines
Using Python to Simplify Data Operations in Data Science