New book: Bootstrapping microservices
I've announced my new book! Bootstrapping microservices is a practical and project-based guide to building microservices applications. »
Learn data wrangling, analysis and visualization with my book Data Wrangling with JavaScript!
Data analysis and visualization in JavaScript with Data-Forge Notebook
Data-Forge Notebook hits version 1!
After a whole year of development I'm very proud to announce the launch of Data-Forge Notebook version 1! »
Data-Forge Plot update 3
A new update on my progress with Data-Forge Plot - the plot function for Data-Forge! »
Backtesting trading strategies with JavaScript
JavaScript can be used to do many things, including quantitative trading. In this post I show how to backtest a quantitative trading strategy with JavaScript. »
Data Wrangling with JavaScript: Printed!
The world of data is big and it can be difficult to navigate it on your own. With data all around us growing at an ever-increasing rate, it's more important than ever that we can deal with data effectively and efficiently to support our businesses and our customers, to be able to monitor and understand our processes and enable faster and better decision-making. »
Node.js memory limits
Node.js has memory limitations that you can hit quite easily in production. You'll know this if you ever tried to load a large data file into your Node.js application. But where exactly are the limits of memory in Node.js? In this short post we'll push Node.js to it's limits to figure out where those limits are. We'll also cover some practical techniques you can use to work around the memory limitations and get your data to fit into memory. »
Data-Forge Plot update 2
Another quick update on my progress developing Data-Forge Plot (DFP). The API has recently evolved but is remains relatively stable, although there are still features I must add to it. I’m sure it will continue to evolve as I integrate new visualization libraries and expand the API. The main thing I have done recently is to extract and restructure the export and capture code, which I talk about in this post.
»Announcing Data-Forge Notebook
Today I’m announcing my new product for data analysis, transformation and visualization in JavaScript!
»Data-Forge Plot update
Just a quick update of my progress developing Data-Forge Plot. The API has evolved a little bit and so has my thinking around it. I’ve also started adding examples and unit tests.
»A conversation with Athan Reines
This is the transcript of a conversation I had recently with Athan Reines, co-creator of the JavaScript stdlib library. We talked about why Athan created the library, why he needs to do scientific computing in JavaScript and the difficulties he has encountered. We also discussed the state of data science in the JavaScript ecosystem and how far off we are from equalling Python and what it would take for us to catch up.
»Introducing Data-Forge Plot!
Over the past couple of weeks I’ve prototyped a new API for plotting in JavaScript. You might rightly wonder why I’ve done this? Surely there’s already enough JavaScript visualization libraries in the wild?
»Data-Forge v1 is away!
I have some big news. I’ve just published Data-Forge version 1 to npm! After over 2.5 years, 1,148 commits and 2 Github repositories it’s finally here, and now rewritten in TypeScript no less! This software has been in gestation for sometime.
»Data Wrangling with JavaScript update: Free copy of the ebook up for grabs!
The early access program (MEAP) for my book Data Wrangling with JavaScript was updated last week! The first 7 chapter are now available, with more chapters to come.
»I'm writing a book: Data Wrangling with JavaScript!
I work with JavaScript quite a lot and it shows in this blog, so you won’t be surprised to hear that I’ve been putting together a book that teaches how to do data wrangling in JavaScript.
»Node.js chart rendering with C3 and Nightmare
I’ve been doing a lot of data analysis in JavaScript. It makes sense for me to work in JavaScript, because I already use it and that’s where my visualizations normally end up. JavaScript has a very rich ecosystem of visualization libraries so that’s not surprising. All these visualization libraries are browser based… which is great if that’s where you want your visualization to be. It’s not so great if you just want to render a chart to an image, say to store for later or to include in some kind of report.
»Acquiring stock market data from Alpha Vantage
As a stock trader I need a ready of supply stock market data for analysis and visualisation. That data is needed for decision making and I often render it to a chart to better understand it.
»Graphing stock data with Highstock and Data-Forge
This is a revisit with various improvements to my original post on The Data Wrangler. In this post I show how to visualise stock data using Data-Forge and Highstock. I also demonstrate how to apply a simple moving average to the price data.
»Intraday price alert
Are you interested in stock trading but don’t have time to watch prices all day? Why stare at the screen for hours on end when you can automate this kind of thing. This post talks about a small app I created to continuously and automatically detect when the price of particular companies have risen to specified levels.
»Automated internet speed testing
Do you have a slow internet? Need to visualize your internet speed over time? Do you want to know when outages are happening?
»Linear regression
Linear regression is a technique that is very useful when analysing the trajectory of a stock. In this post I’ll show how to compute and render a linear regression trend line.
»Average true range
Average true range is an indicator that is useful for judging the volatility of a stock. I use this to set the level for my stop loss orders. In this post I’m going to show how to calculate and visualise average true range in JavaScript.
»Highstock + Data-Forge + Yahoo
In this first post on The Data Wrangler I show how to visualise financial data from the Yahoo API using Data-Forge and Highstock. I also demonstrate how to apply a simple moving average to the price data.
»