Snappy: Native Bindings for Google's Snappy Compression Library

snappy

Nodejs bindings to the snappy compression library

Installation

npm install snappy

Example

Input

var snappy = require('snappy')

snappy.compress('beep boop', function (err, compressed) {
  console.log('compressed is a Buffer', compressed)
  // return it as a string
  snappy.uncompress(compressed, { asBuffer: false }, function (err, original) {
    console.log('the original String', original)
  })
})

Output

compressed is a Buffer <SlowBuffer 09 20 62 65 65 70 20 62 6f 6f 70>
the original String beep boop

API

snappy.compress(input, callback)

Compress input, which can be a Buffer or a String.

The callback function will be called with a single error if the operation failed for any reason. If successful the first argument will be null and the second argument will be the value as a ``Buffer`.

snappy.compressSync(input)

The synchronous version of snappy.compress, returns the compressed value.

snappy.uncompress(compressed, [options,] callback)

Uncompress compressed and call callback with err and decompressed.

options

• 'asBuffer' (boolean, default: true): Used to determine whether to return the value of the entry as a String or a Node.js Buffer object. Note that converting from a Buffer to a String incurs a cost so if you need a String (and the value can legitimately become a UFT8 string) then you should fetch it as one with asBuffer: true and you'll avoid this conversion cost.

The callback function will be called with a single error if the operation failed for any reason. If successful the first argument will be null and the second argument will be the value as a String or Buffer depending on the asBuffer option.

snappy.uncompressSync(compressed, [options])

The synchronous version of snappy.uncompress, returns the uncompressed value.

snappy.isValidCompressed(input, callback)

Check is input is a valid compressed Buffer.

The callback function will be called with a single error if the operation failed for any reason and the second argument will be true if input is a valid snappy compressed Buffer, false otherwise.

snappy.isValidCompressedSync(input)

The synchronous version of snappy.isValidCompressed, returns a boolean indicating if input was correctly compressed or not.

stream

For a streaming interface to snappy, please take a look at snappy-stream

Benchmark

This is the result I'm seeing on my laptop (Macbook Air from 2012) running node benchmark

snappy.compress() x 479 ops/sec ±0.99% (80 runs sampled)
  zlib.gzip() x 289 ops/sec ±1.66% (86 runs sampled)
  snappy.uncompress() x 652 ops/sec ±0.86% (43 runs sampled)
  zlib.gunzip() x 559 ops/sec ±1.65% (64 runs sampled)

Author: Kesla
Source Code: https://github.com/kesla/node-snappy 
License: View license

#node 

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How native is React Native? | React Native vs Native App Development

If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?

In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.

A brief introduction to React Native

Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.

React Native is a popular JavaScript framework that Facebook has created. You can use this open-source framework to code natively rendering Android and iOS mobile apps. You can use it to develop web apps too.

Facebook has developed React Native based on React, its JavaScript library. The first release of React Native came in March 2015. At the time of writing this article, the latest stable release of React Native is 0.62.0, and it was released in March 2020.

Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.

The popularity of React Native comes from its advantages. Some of its advantages are as follows:

• Performance: It delivers optimal performance.
• Cross-platform development: You can develop both Android and iOS apps with it. The reuse of code expedites development and reduces costs.
• UI design: React Native enables you to design simple and responsive UI for your mobile app.
• 3rd party plugins: This framework supports 3rd party plugins.
• Developer community: A vibrant community of developers support React Native.

Why React Native is fundamentally different from earlier hybrid frameworks

Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.

React Native is very close to native. Consider the following aspects as described on the React Native website:

• Access to many native platforms features: The primitives of React Native render to native platform UI. This means that your React Native app will use many native platform APIs as native apps would do.
• Near-native user experience: React Native provides several native components, and these are platform agnostic.
• The ease of accessing native APIs: React Native uses a declarative UI paradigm. This enables React Native to interact easily with native platform APIs since React Native wraps existing native code.

Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.

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Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

What Are Google Compute Engine ? - Explained

What Are Google Compute Engine ? - Explained

The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.

https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html

#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation

Hire Dedicated React Native Developer

Have you ever thought of having your own app that runs smoothly over multiple platforms?

React Native is an open-source cross-platform mobile application framework which is a great option to create mobile apps for both Android and iOS. Hire Dedicated React Native Developer from top React Native development company, HourlyDeveloper.io to design a spectacular React Native application for your business.

Consult with experts:- https://bit.ly/2A8L4vz

#hire dedicated react native developer #react native development company #react native development services #react native development #react native developer #react native

Embedding your <image> in google colab <markdown>

This article is a quick guide to help you embed images in google colab markdown without mounting your google drive!

Just a quick intro to google colab

Google colab is a cloud service that offers FREE python notebook environments to developers and learners, along with FREE GPU and TPU. Users can write and execute Python code in the browser itself without any pre-configuration. It offers two types of cells: text and code. The ‘code’ cells act like code editor, coding and execution in done this block. The ‘text’ cells are used to embed textual description/explanation along with code, it is formatted using a simple markup language called ‘markdown’.

Embedding Images in markdown

If you are a regular colab user, like me, using markdown to add additional details to your code will be your habit too! While working on colab, I tried to embed images along with text in markdown, but it took me almost an hour to figure out the way to do it. So here is an easy guide that will help you.

STEP 1:

The first step is to get the image into your google drive. So upload all the images you want to embed in markdown in your google drive.

Step 2:

Google Drive gives you the option to share the image via a sharable link. Right-click your image and you will find an option to get a sharable link.

On selecting ‘Get shareable link’, Google will create and display sharable link for the particular image.

#google-cloud-platform #google-collaboratory #google-colaboratory #google-cloud #google-colab #cloud