Hexagonal Architecture
Mar 15 2016I found Hexagonal Architecture to be a good expression of how I think about code. In fact, when I wrote Implementing Laravel, I was actually espousing some ideals of Hexagonal Architecture without knowing it.
8 Ways to Become a Better Coder
Mar 1 2016That’s an easy career improvement goal to give oneself, but “become a kick-ass programmer” is not a simple goal. For one thing, saying, “I want to get better” assumes that you recognize what “better” looks like. Plus, too many people aim for improvement without any sense of how to get there.
Programming Abstractions
Feb 16 2016Julie Zelenski gives an introduction to the course, recursion, algorithms, dynamic data structures, and data abstraction; she also introduced the significance of programming and gives her opinion of what makes 106B "great;" C++ is introduced, too.
Complex Systems Design
Feb 15 2016In this module, we kick the course off by looking at the bigger context within which we will be designing and engineering systems in the 21st century.
Core Design Principles for Software Developers by Venkat Subramaniam
Feb 14 2016Writing code is easy. Writing good quality code is an entirely different story. How can we measure the quality of design? How do we know we're doing the right set of things that will lead us to a better design? In this session, we will learn about some core software design principles that help programmers every day. Instead of talking about theory and what we could potentially do, we will take on multiple examples, discuss the solution, pros and cons, and bring out key design principles that have an impact on the outcome.
Robert C. Martin (Uncle Bob) - Demanding Professionalism in Software Development
Jan 30 2016Robert C. Martin explains in his own unique style why professionalism is so important for software development teams and their managers. This event has been recorded live at an event co-hosted by Agile Quebec City and Elapse Technologies in Septembre 2012.
Introduction to Algorithms
Jan 16 2016MIT 6.006, Fall 2011 This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.
MongoDB Schema Design: How to Think Non-Relational
Jan 16 2016O'Reilly Webcast: MongoDB Schema Design: How to Think Non-Relational