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Foundations of Programming: Code Efficiency

Course Summary

Make your programs faster and more responsive by understanding how to create efficient, optimized, well-running code in any programming language.       

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    Course Syllabus

            What you should know
        1. Approaching Efficiency
            Clearing up the misconceptions
            Rule 1: Code efficiency
            The first rule applied to new code
            Rule 2: You don't know the problem
            Areas of efficiency
            Rule 3: Understand what's under your control
            Rule 4: Always look for the easy win
            Embrace your constraints
            Areas not covered
        2. Measurement
            Code analysis tools
            General monitoring tools
            Detailed monitoring tools: Mac
            Detailed monitoring tools: PC
            Overview of developer-focused tools
            Web application tools
        3. Memory
            Core concepts of memory usage
            The memory footprint of an application
            Strategies for memory efficiency
            Languages and environment issues
        4. Algorithmic Efficiency
            Introduction to algorithmic efficiency
            Basic measurement
            Low-tech tracing and profiling
            Example: Tracing and profiling in JavaScript
            Example: Tracing and performance counters in .NET
            Introduction to Big O complexity
            What to look for in code
        5. Disk-Based and Network Resources
            Disk-based resources
            Speed expectations
            Strategies for disk I/O
            Network efficiency
            Strategies for network efficiency
            What about database efficiency?
            Next steps

Course Fee:
USD 25

Course Type:


Course Status:



4 - 5 hours / week

This course is listed under Development & Implementations and Networks & IT Infrastructure Community

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