CLRC offers its member constituents (including members of our five participating library systems and individual members) access to the entire lynda.com training library at no charge.
For more information on how to request an access code, please click here
Code efficiency. There are other words we can use (optimization, performance, speed), but it’s all about making existing code run faster. Whether for desktop, mobile, or web apps, in this course you’ll see how to identify pain points and measure them accurately, as well as view multiple approaches to improve the performance. Author Simon Allardice covers everything from “quick fixes” to more complex (but more accurate) algorithms.
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
CLRC’s subscription to lynda.com is a service of the Empire State Library Network, and is supported by Regional Bibliographic Data Bases and Interlibrary Resources Sharing (RBDB) funds.