Join Simon Allardice for an in-depth discussion in this video Introduction to algorithmic efficiency, part of Foundations of Programming: Code Efficiency.
In truth, everything we are looking at in…this course could be considered part of algorithmic efficiency.…If it's part of our code or…computer program, it's really part of our algorithms.…So, yes memory efficiency that we just talked about is a…subset of larger algorithmic efficiency, as is how you interact with…your far system or interact with your database or your network…but I find it useful to treat them seperately because they can…be approached seperately, quite productively.…So, then what are we doing here, well there is some debate…over what this term algorithmic efficiency even means and what it includes.…
So, I'm going to use this as a working definition for this section of the course.…Could these statements have been written to accomplish…exactly the same result but do it faster.…A simple enough sounding statement but lets get some perspective before…we begin, there are entire mathematical and computer science…university programs dedicated to this idea of algorithmic efficiency.…You could do a dozen post graduate degrees in this, its a very deep subject indeed.…
Learn to choose the right data types, understand the pitfalls of using high-level languages, and decide where to spend your time. Plus, see how the underlying memory management model may have more of an impact than you realize, and what performance issues you can expect working with databases and web services.
- Identifying problems in the code
- Embracing constraints
- Using code analysis tools to measure performance
- Managing memory
- Managing disk-based and network resources
Skill Level Beginner
Foundations of Programming: Refactoring Codewith Simon Allardice1h 44m Intermediate
1. Approaching Efficiency
4. Algorithmic Efficiency
5. Disk-Based and Network Resources
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