This page is used to preview a perfectly rendered blog post written in markdown with complicated math equations. Following posts also rich in syntax:
Gatsby is a modern web framework for blazing fast websites. You can get a new Gatsby site up and running on your local dev environment in 5 minutes with these four steps.
You can get a new Gatsby site up and running on your local dev environment in 5 minutes with these four steps.
You can get a new Gatsby site up and running on your local dev environment in 5 minutes with these four steps.
This is a very long line that will still be quoted properly when it wraps. Oh boy let’s keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can put Markdown into a blockquote.
You can get a new Gatsby site up and running on your local dev environment in 5 minutes with these four steps export const hello
:
import React from 'react'
import styled from 'styled-components'
import paths from 'config/paths'
export const hello = (name) => {
console.log(name)
}
Frameworks supported from iOS 8. Talking about frameworks also worth mentioning umbrella frameworks and universal frameworks (fat frameworks):
Umbrella framework: is a framework bundle that contains other frameworks. Umbrella frameworks available for macOS apps, but Apple do not recommend using them. Umbrella frameworks are not supported on iOS, watchOS, or tvOS.
Universal framework (fat framework): multi-architecture binary that contains code native to multiple instructions sets and can run on multiple processor types.
This is inline math with superscript $a^2 + b^2 = c^2$ or with subscript $k_{n+1} = n^2 + k_n^2 - k_{n-1}$.
Following examples are complicated equations in display mode:
\left( \sum_{k=1}^n a_k b_k \right)^2 \leq \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right)
\begin{aligned}
\dot{x} & = \sigma(y-x) \\
\dot{y} & = \rho x - y - xz \\
\dot{z} & = -\beta z + xy
\end{aligned}
$\begin{aligned} \dot{x} & = \sigma(y-x) \\ \dot{y} & = \rho x - y - xz \\ \dot{z} & = -\beta z + xy \end{aligned}$
\mathcal L_{\mathcal T}(\vec{\lambda})
= \sum_{(\mathbf{x},\mathbf{s})\in \mathcal T}
\log P(\mathbf{s}\mid\mathbf{x}) - \sum_{i=1}^m
\frac{\lambda_i^2}{2\sigma^2}
$\mathcal L_{\mathcal T}(\vec{\lambda}) = \sum_{(\mathbf{x},\mathbf{s})\in \mathcal T} \log P(\mathbf{s}\mid\mathbf{x}) - \sum_{i=1}^m \frac{\lambda_i^2}{2\sigma^2}$
Whether you’re helping us fix bugs, improve the docs, or spread the word, we’d love to have you as part of the Gatsby community! :muscle::purple_heart:
Band | Year formed | No. of Albums | Most famous song |
---|---|---|---|
Buzzcocks | 1976 | 9 | Ever fallen in love (with someone you shouldn't've) |
The Clash | 1976 | 6 | London Calling |
Total albums | 77 |
This repository is a monorepo managed using Lerna. This means there are multiple packages managed in this codebase, even though we publish them to NPM as separate packages.
Syntax | Description | Test Text |
---|---|---|
Header | Title | Here’s this |
Paragraph | Text | And more |