Samuel Colvin samuelcolvin

Senior Frontend Developer at Pydantic

Opportunity to join Pydantic! We are looking to hire someone to lead our frontend development.

We want to hire a senior engineer who is as experienced with TypeScript, React and UI/UX as we are with Python, Rust and API design.

No recruiters or agencies please, any contact from recruiters will be marked as spam.

About Pydantic

Python People

(Updated 2022-11-16 with suggestions from comments below, Twitter and Mastodon)

An incomplete list of people in the Python community to follow on Twitter and Mastodon.

With the risk that Twitter dies, I'd be sad to lose links to interesting people in the community, hence this list.

I would love you to comment below with links to people I've missed.

A half-hour to learn Zig

This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/

Basics

the command zig run my_code.zig will compile and immediately run your Zig program. Each of these cells contains a zig program that you can try to run (some of them contain compile-time errors that you can comment out to play with)

	#!/usr/bin/env python3
	import os
	from datetime import datetime, timezone
	from pathlib import Path

	from prompt_toolkit import PromptSession
	from prompt_toolkit.history import FileHistory
	import openai
	from rich.console import Console
	from rich.markdown import Markdown

	"""
	License: MIT
	Copyright (c) 2022 Samuel Colvin.

	See https://twitter.com/adriangb01/status/1573708407479189505

	## Usage

	Once installed just add

	"""A quick benchmark comparing the performance of:

	- msgspec: https://github.com/jcrist/msgspec
	- pydantic V1: https://docs.pydantic.dev/1.10/
	- pydantic V2: https://docs.pydantic.dev/dev-v2/

	The benchmark is modified from the one in the msgspec repo here:
	https://github.com/jcrist/msgspec/blob/main/benchmarks/bench_validation.py

	I make no claims that it's illustrative of all use cases. I wrote this up

	"""
	This benchmark is a modified version of the benchmark available at
	https://github.com/samuelcolvin/pydantic/tree/master/benchmarks to support
	benchmarking msgspec.

	The benchmark measures the time to JSON encode/decode `n` random objects
	matching a specific schema. It compares the time required for both
	serialization _and_ schema validation.
	"""

	deploy:
	needs:
	- test
	- lint
	if: "success() && startsWith(github.ref, 'refs/tags/')"
	runs-on: ubuntu-latest

	env:
	HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
	HEROKU_APP: <heroku app name>

	#!/usr/bin/env python3
	"""
	pull from and pushing to other people's pull requests

	(might require an auth key for private repos)
	"""
	import os
	import re
	import sys
	import requests