QCon10Years
SAVE THE DATE FOR QCON SF 2018

Conference: Nov 5-7, 2018
Workshops: Nov 8–9, 2018

Workshop: [SOLD OUT] Data Analytics, Pandas / Numpy / Scikit-Learn

Location:

  • Garden A
Level: 
TBD

When:

  • Thursday
9:00am - 4:00pm

Prerequisites

  • Experience and background in software development in Python.
  • Helpful to have some background in analytics or machine learning.
  • Amazon EC2 servers will be provided students for installation, administration and lab work.
  • Students would need a SSH client and a browser to access the cluster.

Python has become a powerful language and environment for performing data science. It combines a robust, object-oriented language with a powerful library of data science packages, such as numpy, scipy, matlibplot, scikit-learn, and pandas. These tools together make python one of the best combinations of robust programming language together with great library support.

What You Will Get Exposed To:

  • Quick Python primer
  • Quick primer on data science algorithms
  • NumPy
  • SciPy
  • Pandas
  • Scikit-learn

Speaker: Tim Fox

Big Data and Machine Learning Consultant @ElephantScale

Timothy Fox is an experienced Big Data Architect and Data Science Consultant, specializing in Machine Learning and Deep Analytics at scale. He has consulted for many companies large and small and has taken his expertise to Europe, the Middle East, and South Asia as well.
Timothy is active in organizing Hadoop, Spark, and Data Science meetups as well as speaking about topics of interest to Big Data professionals.

Find Tim Fox at

Speaker page

Other Workshops:

Zen of Architecture
Day: Friday [Full Day]
by Juval Lowy
Using Istio to Build a Cloud Native Service Mesh
Day: Friday [Half Day]
by Zack Butcher
Using Istio to Build a Cloud Native Service Mesh
Day: Friday [Half Day]
by Ryan Knight
Test First Immersion Workshop (Java)
Day: Thursday [Full Day]
by Szczepan Faber
Tensorflow: Building Neural Machine Translation
Day: Friday [Half Day]
by Karunakar Singamreddy
Serverless Workshop
Day: Thursday [Full Day]
by David Wells

.

Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.  

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