Testing, linting and documentation in Qiskit

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Covers testing, linting, and documentation practices in Qiskit. Best practices for professional quantum software development.

What you'll learn

A 16-minute video from Qiskit: “Testing, linting and documentation in Qiskit”.

Programming & CS

Video by Qiskit, played through YouTube's embedded player.

Part of GitHub to Qiskit: Your Complete Contributor Guide

36:49

Fault Tolerant Quantum Computation | Understanding Quantum Information & Computation | Lesson 16 QiskitScience & Math

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Quantum Algorithmic Foundations | Understanding Quantum Information & Computation | Lesson 06 QiskitScience & Math

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Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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36:49

Fault Tolerant Quantum Computation | Understanding Quantum Information & Computation | Lesson 16

Qiskit

10.6K views

Lesson from John Watrous's course on quantum information and computation: fault-tolerant quantum computation and the threshold theorem.

1:01:08

Quantum Algorithmic Foundations | Understanding Quantum Information & Computation | Lesson 06

Qiskit

30.3K views

Lesson from John Watrous's course on quantum information and computation: computational cost, reversible computation and how classical algorithms run on quantum computers.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

Intro25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

CS50

Intro2.2M views

CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

2:27:41

CS50x 2024 - Lecture 1 - C

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.