OK, Google Sheets! Send me an email if I need an umbrella today.
Send an email using Google Sheets? Yes, that’s right! Sheets can do a lot more than add numbers and calculate your mortgage payments. In our last article, we learned how to consume JSON web data using Google Sheets and we built templates to display and sort weather forecast data. Today, we’ll build on what we covered last time and learn how to send email using Google Sheets based on the JSON data we retrieve.
Let’s get practical and build something useful while we’re at it. Have you ever found yourself outside somewhere and it starts to rain and you realize you forgot your umbrella? This has certainly happened to me! We have been experiencing drought conditions in Southern California for the last few years, and so I don’t always think about bringing an umbrella since rain is somewhat infrequent. (Thankfully, I’m hearing rain outside my window right now and we are receiving a lot more rain this year which is great!) Let’s use Google Sheets to improve our situational awareness by retrieving the weather forecast for the day and sending us an email before we leave in the morning if we should bring an umbrella. Let’s get started! Continue reading
I’ve said it before, and I’ll say it again. JSON has become the lingua franca for exchanging data on the web, and we (as developers) need to know how to process JSON data received from RESTful web services so we can be positioned for the present and for the future.
My article on Consuming Node.js Microservices Created with stdlib provided a high-level tour covering several methods of parsing and processing JSON data. Last time, we focused on how to consume JSON data using curl and jq. Today, we’re zooming in and learning more about consuming Web API JSON data using Google Sheets. Once again, we’ll be consuming data from a microservice created with the excellent stdlib platform. Our learning, however, will be universally applicable for consuming Web API JSON data from any http endpoint. I am very impressed with the power and versatility of the Google Sheets platform for consuming JSON data (among many other things). Let’s get started and experience it firsthand! Continue reading
Hey everyone! I decided to put a few extra batteries in the background color of the article image above. 🙂 I’m actually pretty charged up about our topic today, particularly about jq, which is a lightweight and flexible command-line JSON processor with “batteries included”.
JSON has become the lingua franca for exchanging data on the web, and we (as developers) need to know how to process JSON data so we can be positioned for the present and for the future. We recently learned about Consuming Node.js Microservices Created with Stdlib which provided a high-level tour covering several methods for parsing and processing JSON data. Today, we’re zooming in and learning more about consuming Web API JSON data from bash using curl and jq. Once again, we’ll be consuming data from a microservice created with the excellent stdlib platform. Our learning, however, will be universally applicable for consuming Web API JSON data from any http endpoint. Most importantly, we’re going to have fun in the process! 🙂 Continue reading
In our last article, we learned how to create Node.js microservices using Polybit’s stdlib platform. We created a fabulous (IMHO 🙂 ) GPS service that enabled us to retrieve the name of a city based on its GPS coordinates. Today, we’re going to learn how to consume data returned from this stdlib GPS microservice using several methods. While the information presented here is specific to consuming Polybit stdlib microservices, many aspects of this article will be generally applicable for consuming Web API JSON data from any http endpoint. Strap on your seatbelts as we embark on a whirlwind tour to learn about consuming JSON data from a variety of contexts…and I’m talking about some serious variety! Continue reading
Microservices and serverless architectures are all the rage in the software industry. After working with Polybit’s amazing stdlib platform, I am clearly seeing the value of this promising technology! Today, I will introduce you to stdlib. I encourage you to work alongside me as we leverage stdlib to build a microservice that we can consume in a variety of contexts. Let’s get started with this fabulous technology! Continue reading
I’ve received questions from readers of my Beginner’s Guide to Installing Node.js on a Raspberry Pi wanting to know how to upgrade to more recent versions of Node.js on the Raspberry Pi. The steps are quite easy and can be adapted to other Debian variants as well including Ubuntu. I’m assuming you followed the steps in my Beginners’ Guide, especially under the “Install Node.js” section where we update the Raspbian/Debian package repository to include the Node.js binaries provided by NodeSource. Let’s get started! Continue reading
This article has been updated to cover the installation of the latest version of Node at the time of this writing which is Node 8.x.
In this installment of our LTM (Learning through Making) series of Node.js tutorials, we’re going to get Node up and running on a Raspberry Pi 3 or Pi 2. With the Raspberry Pi 3, you won’t need to buy a separate USB Wi-Fi adapter. I’m focusing on the Raspberry Pi 3/Pi 2 rather than older versions such as the Raspberry Pi B+ since these are the latest models at the time of this writing. The Raspberry Pi 3, for example, sports a 1.2 GHz quad-core ARMv8 chip with 1 GB of RAM versus the Raspberry Pi 1 Model B+’s 700 MHz single-core ARMv6 chip with 512 MB RAM.
The instructions provided here are for installing Node.js on a Pi 3 (ARMv8) or Pi 2 (ARMv7) rather than other models based on the ARMv6 chip such as the Raspberry Pi 1 Model B, Raspberry Pi Model B+ or the Raspberry Pi Zero. A majority of this installation guide should still prove useful for other Raspberry Pi systems besides the Pi 3 and Pi 2; however, the final steps focused on the installation of Node.js will not work for these systems based on the older ARMv6 architecture.
This tutorial is useful for anyone wishing to successfully install a Raspberry Pi 3/Pi 2 system, even if they are not interested in Node.js since the Node.js installation happens in the final steps of the tutorial. But, why would you not want to install Node.js? 🙂 Let’s get started! Continue reading
We all want to be in the loop and notified when certain events occur within our Node.js programs. For example, email notifications can be very important for creating situational awareness with IoT systems we develop that interact with our physical world. Email communication can be used to deliver messages to our inboxes as well as to deliver text messages in order to enable us to take more immediate action.
In today’s tutorial, we’ll walk through the steps of using the amazing Nodemailer package which has become the de facto standard for sending email messages in the Node.js world. Let’s get started so we can start seeing our own custom messages flow to our inbox! Continue reading
In this tutorial, we harness the power of YAML for use within Node.js. As described on the official YAML site, YAML (YAML Ain’t Markup Language) is a “human friendly data serialization standard for all programming languages”. YAML and JSON are closely related. In fact, all JSON syntax is valid YAML as of the YAML 1.2 spec, but not all YAML syntax is valid JSON. YAML is a superset of JSON. Continue reading
The ability to log data is an important capability in IoT applications. In this tutorial, we learn how to use Node.js to log data by utilizing built-in Node modules. There are certainly excellent logging modules available including pino and Winston (see my Winston tutorial here); however, our goal today is to deepen our knowledge of Node by implementing some simple logging code ourselves in order to become better Node developers. Continue reading