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Lynda.com Foundations of Programming Code Efficiency €15 buy download

2013
Lynda
Simon Allardice
3:07
English

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.

Introduction 4m 6s
Welcome 1m 17s
What you should know 2m 49s
1. Approaching Efficiency 32m 47s
Clearing up the misconceptions 2m 39s
Rule 1: Code efficiency 2m 32s
The first rule applied to new code 4m 52s
Rule 2: You don't know the problem 3m 10s
Areas of efficiency 5m 36s
Rule 3: Understand what's under your control 3m 46s
Rule 4: Always look for the easy win 3m 23s
Embrace your constraints 3m 51s
Areas not covered 2m 58s
2. Measurement 36m 29s
Code analysis tools 3m 46s
General monitoring tools 4m 58s
Detailed monitoring tools: Mac 11m 29s
Detailed monitoring tools: PC 3m 54s
Overview of developer-focused tools 4m 37s
Web application tools 7m 45s
3. Memory 32m 32s
Core concepts of memory usage 5m 28s
The memory footprint of an application 3m 31s
Strategies for memory efficiency 11m 43s
Languages and environment issues 11m 50s
4. Algorithmic Efficiency 48m 38s
Introduction to algorithmic efficiency 2m 5s
Basic measurement 8m 15s
Low-tech tracing and profiling 5m 3s
Example: Tracing and profiling in JavaScript 4m 33s
Example: Tracing and performance counters in .NET 6m 9s
Introduction to Big O complexity 11m 32s
What to look for in code 11m 1s
5. Disk-Based and Network Resources 27m 15s
Disk-based resources 2m 45s
Speed expectations 3m 1s
Strategies for disk I/O 5m 53s
Network efficiency 7m 42s
Strategies for network efficiency 6m 1s
What about database efficiency? 1m 53s
Conclusion 6m 4s
Next steps 6m 4s

http://www.lynda.com/



Download File Size:879.72 MB


Lynda.com Foundations of Programming Code Efficiency
€15
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