Book Report: Data Structures and Algorithms in Python
I thought I was done reading books for the learning phase of my study process, and was itching to get back to the coding problems phase. »
Retaining Computer Science Knowledge
I've been asked numerous times, "How do you remember all the stuff you've been studying?" Here's my method that will keep all the good stuff in »
Where to Get a Cheap Whiteboard
Large whiteboards are expensive. For the do-it-yourself type, you can pick up a wall panel at your local home improvement store. Just look for "melamine wall »
My Algorithm Design Canvas
For doing daily programming problems, I started using this Algorithm Design Canvas created by HiredInTech. Their methodical process is really good. Check it out. By the »
How to Rock the Programming Portion of Your Interview
Well, it's taken many months to get to this point, because I had a lot to learn. With no formal computer science training and not knowing »
Machine Learning: The Future has Arrived
I wanted to spend a good bit of time gaining deeper knowledge and more experience with machine learning and data science, but just ran out of »
Computing Convex Hull in Python
Geometric algorithms involve questions that would be simple to solve by a human looking at a chart, but are complex because there needs to be an »
Maximum Flow, Minimum Cut and the Ford-Fulkerson Method
Today I'm studying flow graphs and disjoint sets data structure. Maximum flow falls into the category of combinatoric optimization problems. The Ford-Fulkerson method, published in 1956, »
Data Access Times Translated to Distances (with Pictures)
This well-known article, Numbers Everyone Should Know, was intriguing, but it was hard to mentally get a handle on the scale of the numbers. Here are »
Finishing the Learning Phase
Back on August 8, I talked about how I was going to change up my study schedule for the interview. I discovered that it was difficult »