A few months ago, I set myself the challenge of writing a C compiler in 500 lines of Python1, after writing my SDF donut post. How hard could it be? The answer was, pretty hard, even when dropping quite a few features. But it was also pretty interesting, and the result is surprisingly functional and not too hard to understand! There's too much code for me to comprehensively cover in a single blog
I am a huge fan of Richard Feyman’s famous quote: “What I cannot create, I do not understand” I think it’s brilliant, and it remains true across many fields (if you’re willing to be a little creative with the definition of ‘create’). It is to this principle that I believe I owe everything I’m truly good at. Some will tell you to avoid reinventing the wheel, but they’re wrong: you should build your
前回の記事ではじめてPineconeを使いました。Pineconeについて、もう少し詳しく知りたいと思ったので、公式ドキュメントを読んで内容をまとめました。基本的には分かりやすい概念が多いのですが、1つだけ難しいなと思った概念がでてきたので、サンプルとともに説明します。 ベクトルデータベースとは 機械学習では、文章、画像、音声、動画などのあらゆるデータを、特徴を抽出したベクトルに変換して扱うことが多いです。ベクトルは、数百から数千の次元の数値として表現されます。ベクトルデータベースは、このような特殊なデータ構造を持つデータを扱うために作られたデータベースです。 ベクトルデータベースを使うことで、ベクトル間の類似性を高速に検索することができます。これによって、文章のセマンティック検索、画像・音声・映像などの類似検索、ランキングやレコメンド、重複検出、異常検出、などに応用することができます。
htmy
Source code: https://github.com/volfpeter/htmy Documentation and examples: https://volfpeter.github.io/htmy htmy Async, pure-Python server-side rendering engine. Unleash your creativity with the full power and Python, without the hassle of learning a new templating language or dealing with its limitations! Key features Async-first, to let you make the best use of modern async tools. Powerful, Reac
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
Getting Started with Python
Python is a powerful programming language that provides many packages that we can use. Using the versatile Python programming language, we can develop the following: AutomationDesktop applicationAndroidWebIoT home automationData Science and the list goes on.In this article, our primary focus will be knowing how to start learning Python and the essentials required to be a data scientist. Below is t
Introduction: Density Is King (With a Tiny VM) I've previously come to the conclusion that there's little reason for using bytecode in the modern world, except in order to get more compact code, for which it can be very effective. So, what kind of a bytecode engine will give you more compact code? Suppose I want a bytecode interpreter for a very small programming environment, specifically to minim
Foldable Words | bit-player
Packing up the household for a recent move, I was delving into shoeboxes, photo albums, and file folders that had not been opened in decades. One of my discoveries, found in an envelope at the back of a file drawer, was the paper sleeve from a drinking straw, imprinted with a saccharine message: This flimsy slip of paper seems like an odd scrap to preserve for the ages, but when I pulled it out of
Plan 9 Desktop Guide
PLAN 9 DESKTOP GUIDE INDEX What is Plan 9? Limitations and Workarounds Connecting to Other Systems VNC RDP SSH 9P Other methods Porting Applications Emulating other Operating Systems Virtualizing other Operating Systems Basics Window Management Copy Pasting Essential Programs Manipulating Text in the Terminal Acme - The Do It All Application Multiple Workspaces Tiling Windows Plumbing System Admin
This post is based on my RustNationUK ‘24 talk with the same title. The talk video is on youtube, the slides are served from here. Also, here’s the lyrics of the song I introduced the talk with (sung to the tune of Bob Dylan’s “The times, they are a-changin’”): Come gather Rustaceans wherever you roam and admit that our numbers have steadily grown. The community’s awesomeness ain’t set in stone, s
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,
The Humble For Loop in Rust By Martijn Faassen • 2024-12-11 • Tags: programming, rust Rust has some really nice functional programming facilities built in, all around an iterator concept. Rust being focused on performance and low level control makes it possible to use this without paying a performance cost. Sometimes I still prefer to use the humble for loop though. In quite a few cases, it combin
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
Python is one of the best programming languages. Due to its readability and beginner-friendly nature, it has been accepted by industries around the world. So to master Python for any field you have to work on projects. In this article, I will introduce you to 100+ amazing Python projects with source code solved and explained for free. Python Projects with Source Code Python Projects For Beginners:
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
Example Hay could be used to configure a hypothetical Linux package manager: # cpython.hay -- A package definition hay define Package/TASK # define a tree of Hay node types Package cpython { # a node with attributes, and children version = '3.9' url = 'https://python.org' TASK build { # a child node, with Oil code ./configure make } } This program evaluates to a JSON tree, which you can consume fr
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Writing a C compiler in 500 lines of Python
Writing Toy Software Is A Joy
ベクトルデータベース Pinecone の概念を整理する | DevelopersIO
bytecode interpreters for tiny computers ⁑ Dercuano
Easy Mode Rust — Llogiq on stuff
The Humble For Loop in Rust
Python Projects with Source Code | Aman Kharwal
Using Python to Simplify Data Operations in Data Science
Hay - Custom Languages for Unix Systems