Nick Dabhi

Nick Dabhi

1596683442

Nuxt Static Improvements

Introduction

With Nuxt.js version 2.13, the full-static mode has been introduced. In addition, a new command nuxt export was added to pre-render your pages without triggering a webpack build with the goal to separate the rendering and build process. The only issue was that most Nuxt.js users weren’t able to unleash the full potential of the separation… until now.

  • Introduction
  • Faster Static Deployments
  • Generate time: cache vs full webpack build
  • Using in your projects
    • Excluding Files from Cache
    • Module Authors
  • How it works
    • Back to old school commands
  • What to do next

Faster Static Deployments

With v2.14, nuxt generate will automagically skip webpack build step when no code has been changed and use the previous build using cache. This will help to drastically improve static deployments time by avoiding unnecessary builds which is usually the most time-consuming part of generation process. Cache support is platform-agnostic and works on Netlify, Vercel, or any other CI/CD setup that is caching node_modules.

#nuxt #vue #javascript #developer

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Buddha Community

Nuxt Static Improvements
Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

  • J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

Dahlia  Muller

Dahlia Muller

1589912520

Fell Static with Nuxt

Static pre-rendering is an overlooked feature of Nuxt. You can use it for more than your average blog. Here’s why.

Youtube channel: Vuejs Amsterdam - https://www.youtube.com/watch?v=joc9j9e-D3s

#nuxt #nuxt.js

Nick Dabhi

Nick Dabhi

1596683442

Nuxt Static Improvements

Introduction

With Nuxt.js version 2.13, the full-static mode has been introduced. In addition, a new command nuxt export was added to pre-render your pages without triggering a webpack build with the goal to separate the rendering and build process. The only issue was that most Nuxt.js users weren’t able to unleash the full potential of the separation… until now.

  • Introduction
  • Faster Static Deployments
  • Generate time: cache vs full webpack build
  • Using in your projects
    • Excluding Files from Cache
    • Module Authors
  • How it works
    • Back to old school commands
  • What to do next

Faster Static Deployments

With v2.14, nuxt generate will automagically skip webpack build step when no code has been changed and use the previous build using cache. This will help to drastically improve static deployments time by avoiding unnecessary builds which is usually the most time-consuming part of generation process. Cache support is platform-agnostic and works on Netlify, Vercel, or any other CI/CD setup that is caching node_modules.

#nuxt #vue #javascript #developer

Create A Super Fast Nuxt.js Server With Vite! Nuxt + Vite Tutorial With Vue.js!

In this tutorial we’ll take a lok at Nuxt.js and Vite. This will create a super fast Nuxt server, with half a second reload times! Vue.js has never been faster!

  • 0:00 Introduction
  • 0:27 Nuxt + Vite Plugin
  • 01:47 Install Nuxt.js App
  • 02:43 Installing Vite To The Nuxt App
  • 04:23 Vue 3 + Nuxt.js Presentation Sebastien Chopin
  • 07:58 NuxtJS Resources, Nuxt Modules
  • 08:31 Conclusion

#nuxt #vite #nuxt #vue

Niraj Kafle

1589951220

Generating Sitemap XML for Static and Dynamic Nuxt Routes

In this video we install Nuxt Sitemap, show what it does for us automatically, exclude some pages we don’t want the search engine seeing, and then configure it to work with Nuxt’s dynamic pages.

In the pro videos in this series, we’ll add prioritization and change frequency data, add video and image data, and more.

Subscribe : https://www.youtube.com/user/edisonstew/featured

#nuxt #nuxt.js