Personal schedule for Paul McCullough
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As application complexity increases, observing it in action becomes harder. Traditional tools are not very useful when going across programing languages. DTrace is a revolutionary tool that allows you to observe applications in AMP stack and those written in languages like PHP, Ruby, Python, Java, C, C++ and much more. This session will teach you DTrace and demonstrate techniques of using it.
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Java
Location: D137/138
Please note: to attend, your registration must include
Tutorials.
Scala is a hybrid object-functional language for the JVM. Java programmers can easily migrate to Scala as an improved Java, then learn to exploit its powerful support for Functional Programming. Developers from other languages can exploit the JVM's power and rich libraries using a state-of-the-art language. Come learn why Scala is seductive; why it meets the needs of the modern developer.
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Python
Location: D137/138
Please note: to attend, your registration must include
Tutorials.
Although Python programs may be slow for certain types of tasks, there are many different ways to improve performance. This tutorial will introduce optimization strategies and demonstrate techniques to implement them.
Participants will learn how to decide what might be the optimal solution for a certain performance problem. Participants are strongly recommended to bring laptops.
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Python
Location: E145/E146
Please note: to attend, your registration must include
Tutorials.
Design patterns can be very useful in Python (as in any other language) but there are right ways and wrong ways to choose which ones to implement, and how to implement. This advanced tutorial offers many practical examples of "the good, the bad, and the beautiful" ("the ugly" doesn't apply to Python!-) and some theoretical underpinnings for them.
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