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Preview: Steve Trefethen's Weblog

Steve Trefethen's Weblog is the blog of Steve Trefethen. I am a software developer interested in .NET, testing, internet applications, automation and anything related to my family and friends.

Last Build Date: Thu, 15 Feb 2018 14:51:28 +0000


Debugging a Python Scrapy Project in VSCode

Fri, 31 Mar 2017 05:05:09 +0000

I’ve been working on a small web scraping project using Scrapy in Visual Studio Code using the Python Extension. I’m using a virtualenv with Scrapy installed and my launch.json file looks like this: The key parts are the “cwd” and “args” for calling scrapy to start the crawl. My Workspace setting overrides look like this:(image)

Highway 17 Santa Cruz Mountains Traffic Commuter Resources

Wed, 08 Feb 2017 02:42:21 +0000

Resources for information on Highway 17 Traffic over the Santa Cruz mountains to/from Los Gatos. Facebook Highway 17 Commuters (login required) Storm Watchers Group (requires login) On Twitter CHP San Jose CHP Santa Cruz CalTrans District 5 Traffic On 17 CalTrans District 4 List of above resources On the Web CalTrans Highway 17 Conditions Scotts Valley Nixle […](image)

Installing R and Shiny on Cloud 9

Fri, 02 Sep 2016 02:22:29 +0000

I wanted to see if I could run an instance of RStudio’s Shiny server on Cloud 9 and after a bit of finagling with the right set of steps to get it set up I have an instance running. Here’s what I did starting from a workspace using the stock HTML template. I need to […](image)

React Native bundle loading failing on a physical device

Tue, 23 Aug 2016 23:47:07 +0000

I’m building a React Native application and recently updated to v0.31.0 and at first things were working well debugging on the device benefiting from a feature of the script. The script copies your Dev machine’s IP address to a text file called ip.txt which is used for establishing the connection to your machine from […](image)

Using Google Sheets, Pivot Tables and Charts as a Startup Dashboard – Part II

Thu, 18 Aug 2016 18:34:45 +0000

In my previous post I wrote about the process that lead me to build a dashboard but first I want to talk a bit about the structure of the data in the Google Sheet where the whole process started. I first started by looking to quickly create a few charts to visualize some of our […](image)

Lessons Learned in a Mobile Startup

Tue, 28 Jun 2016 06:09:32 +0000

Working on building mobile apps for the last several years I thought I would publish a list of some of the things I’ve learned here in the mobile trenches. Without further adieu and in no particular order… Btw, welcome your feedback/additions. Take a serious look at React Native. Faster releases, fewer bugs, that can be […](image)

From Google Sheets to an Automated Shiny Dashboard (Part I)

Sat, 11 Jun 2016 22:36:56 +0000

Over the past several months I’ve been building what’s become a large Google Sheet (which is now at the 2M cell limit) tracking Find&Save Cash Dash offers. Like a lot of data projects this one started out small but over many months grew to a point where it no longer makes sense to cut/paste SQL […](image)

Plotting Weekly Mobile Retention from the Localytics API using R and ggplot2

Sat, 28 May 2016 06:19:12 +0000

Part of building mobile web apps is understanding the myriad of mobile analytics and in part visualizing the data to shed light on trends that my otherwise be difficult to see in tabular data or even a colorful cohort table. I’ve been building a dashboard using R, RStudio, Shiny, and Shiny Dashboards aggregating data from […](image)

Useful Resources for Getting Started with R Programming

Wed, 18 May 2016 17:46:27 +0000

I previously blogged about building a dashboard using R and as with learning any new programming language there are a set of essential tasks to figure out before you can be very productive so I thought I’d post the set of bookmarks I’ve cycled through as I learn R. Using R — Basic error Handing […](image)

Fetching Localytics API Data in R and working with the JSON result

Fri, 13 May 2016 21:58:52 +0000

Recently, I’ve been building a dashboard for Find&Save using R, RStudio and Shiny Dashboards and one of our core mobile metrics is 30 day active users for both iOS and Android which I can get from Localytics (our analytics platform) via their API. Googling around I found I’m not reinventing the wheel (via SO) though […](image)