http://jackstouffer.com/blog/ 2017-04-26T00:00:00Z Jack Stouffer http://jackstouffer.com/blog/wordlist.html 2017-04-26T00:00:00Z

If you have a specific target in mind for your brute force attack, you can greatly increase your odds of success with personal information.

http://jackstouffer.com/blog/target-predictable-customers.html 2017-01-05T00:00:00Z

Using machine learning and Python, we can find customers with predictable month to month patterns and target our sales team based on those patterns.

http://jackstouffer.com/blog/programmer-design-tricks.html 2016-12-19T00:00:00Z

Your site can no longer afford to have “programmer design”. Here are some of the fundamentals I’ve learned over the years to keep my designs looking professional.

http://jackstouffer.com/blog/pyohio_lightning_talk.html 2016-08-16T00:00:00Z

I had the opportunity two weeks ago to give a lightning talk at PyOhio. I had five minutes to give a talk on literally anything I wanted, so I talked about Flask.

http://jackstouffer.com/blog/d_auto_decoding_and_you.html 2016-05-17T00:00:00Z

One feature of D that is confusing to a lot of new comers is the behavior of strings in relation to range based features like the foreach statement and range algorithms. In this post, I will detail the practice of auto decoding and some of its pitfalls.

http://jackstouffer.com/blog/porting_dateutil.html 2016-04-09T00:00:00Z

Over the past two weeks, I have been working to port the excellent date string capability of the dateutil library to D. I did this for a couple of reasons:

http://jackstouffer.com/blog/nd_slice.html 2016-01-04T00:00:00Z

Today, the new addition to D's standard library, std.ndslice, was merged into master, and will be included in the next D release (v2.070, which is due this month). std.ndslice is multidimensional array implementation, not unlike Numpy, with very low overhead, as it's based on D's concept of ranges which avoids a lot of copying and allows for lazy generation of data. In this article, I will show some of the advantages std.ndslice has over Numpy and why you should consider D for your next numerical project.