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Node News Thursday, July 12

Using AWS Lambda & Node.js to scan your S3 uploads

  • AWS Lambda functions are only run when specific events are received, costing you nothing more than the storage of the executable at other times.
  • On top of not having to manage running instances, AWS Lambda has three characteristics that make it especially attractive for solving this problem: – – ClamAV is an open source antivirus that can be used to scan files on any system.
  • Instead the way to go is to build for the target machine (amazonlinux), package the executable and the libraries together, zip up and upload the zip file to AWS Lambda.
  • sh script will make sure that you have a recent version of clamAV downloaded and all the files packaged in a zip file (lambda.zip) that you can then upload to AWS Lambda.
  • We set ours to run every 6 hours: – – The virus scanner is based on S3 events: while there are multiple events you can handle, if your bucket deals with third party uploads, the best way to do it is to run on ObjectCreated – – It should look…

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Using AWS Lambda & Node.js to scan your S3 uploads

Making a Python script to get Desktop notifications on Cryptocurrency prices

  • So, I decided to build a simple Python script to give desktop notification on my Ubuntu system in case a cryptocurrency crosses a limit.
  • The maximum and minimum price limit, if the market crosses this you want to be notified.
  • import os – import json – import time – import schedule – import notify2 – – from binance.client import Client – – Now we have to connect to the Binance API – – binance_client = Client(YOUR BINANCE KEY HERE, YOUR BINANCE SECRET HERE) – – And we have to initiate…
  • def job(): – – config = None – – with open(config.json) as file: – config = json.load(file) – – for market in config.get(markets): – – if market[active] is False: – continue – – symbol = market[name] – max_price = market[max] – min_price = market[min] – ticker = price = float(ticker.get(price))…
  • Otherwise, we get the price of the market using the get_symbol_ticker() function provided by python-binance.

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Making a Python script to get Desktop notifications on Cryptocurrency prices

NodeSchool

  • Youll need Node.js on your computer to get started with each of these.
  • You will also need a Text Editor, if you don’t have one already, you may want one for editing code.
  • A few options: Atom, Sublime Text, Visual Studio Code, Brackets.
  • Problems with the workshopper?
  • Try installing the latest version of Node.js (v6.2.0 or higher), or ask a question in the discussion.

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NodeSchool

Creating beautiful webmaps in Python

  • This list is stored in a CSV file that contains the names, geographical coordinates (latitudes and longitudes), elevation and the status of these volcanoes.
  • vname = list(data[Name]) – lat = list(data[Latitudes]) – lon = list(data[Longitudes]) – elev = list(data[Elevation]) – status = list(data[Status]) – – We want to graphically display whether a particular volcanoe is active or not.
  • def color_producer(stt): – if stt == Active: – return ‘red’ – else: – return ‘yellow’ – – Now its time to create a map object using folium.Map() method.
  • for lt, ln, el, st, vnm in zip(lat, lon, elev, status, vname): – ln], radius = 8, – popup= vnm + , + str(el)+ meters + , +st, – fill_color=color_producer(st), fill=True, color = ‘grey’, fill_opacity=0.7)) – – Notice the zip() function here.
  • You can access it code: – – import folium – import pandas – – data = = list(data[Name]) – lat = list(data[Latitudes]) – lon = list(data[Longitudes]) – elev = list(data[Elevation]) – status = list(data[Status]) – – def color_producer(stt): – if stt == Active: – return ‘red’ – else: – return…

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Creating beautiful webmaps in Python

20 Lessons for Python Beginners Summary

  • In this chapter you will learn some Python basics, such as using the print function to display output.
  • Python plays an important role in network programming.
  • scikit-learn is an open source Python library that implements a range of machine learning, pre-processing, cross-validation and visualization algorithms using a unified interface.
  • Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc.
  • There are several APIs available to convert text to speech in python.

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20 Lessons for Python Beginners Summary

gpu.js

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gpu.js

Remote Node.js Developer at RoosterMoney

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Remote Node.js Developer at RoosterMoney

Qaleidospace

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Qaleidospace

Building with Node.js – download the free Node.js e-book!

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Building with Node.js – download the free Node.js e-book!

Top 10 Node JS Framework

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Top 10 Node JS Framework

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