Personal schedule for Paul McCullough

Download or subscribe to Paul McCullough's schedule.

Tools & Techniques
Location: Portland 251
Please note: to attend, your registration must include Tutorials.
Average rating: ****.
(4.33, 28 ratings)
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. Read more.
Java
Location: D137/138
Please note: to attend, your registration must include Tutorials.
Dean Wampler (Typesafe)
Average rating: ***..
(3.90, 20 ratings)
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. Read more.
Python
Location: D137/138
Please note: to attend, your registration must include Tutorials.
Mike Mueller (Python Academy)
Average rating: **...
(2.88, 17 ratings)
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. Read more.
Python
Location: E145/E146
Please note: to attend, your registration must include Tutorials.
Average rating: ***..
(3.62, 21 ratings)
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. Read more.
  • Intel
  • Microsoft
  • Google
  • Facebook
  • Rackspace Hosting
  • (mt) Media Temple, Inc.
  • ActiveState
  • CommonPlaces
  • DB Relay
  • FireHost
  • GoDaddy
  • HP
  • HTSQL by Prometheus Research
  • Impetus Technologies Inc.
  • Infobright, Inc
  • JasperSoft
  • Kaltura
  • Marvell
  • Mashery
  • NorthScale, Inc.
  • Open Invention Network
  • OpSource
  • Oracle
  • Parallels
  • PayPal
  • Percona
  • Qualcomm Innovation Center, Inc.
  • Rhomobile
  • Schooner Information Technology
  • Silicon Mechanics
  • SourceGear
  • Symbian
  • VoltDB
  • WSO2
  • Linux Pro Magazine

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