November 21, 2019

260 words 2 mins read

Unleashing the power within: A hands-on guide to browser developer tools

Unleashing the power within: A hands-on guide to browser developer tools

As any web developer knows, the developer tools built into modern browsers are packed with loads of features. The question is, do you really understand how or when to use them? These tools are capable of so much more than just debugging and inspecting elements in the DOM. Dean Hume teaches you exactly how to use the tools to become a better developer, one web page at a time.
Talk Title Unleashing the power within: A hands-on guide to browser developer tools
Speakers Dean Hume (Settled)
Conference Velocity
Conf Tag Build resilient systems at scale
Location Santa Clara, California
Date June 21-23, 2016
URL Talk Page
Slides Talk Slides
Video

This tutorial is for you because: Overview: Just as great warriors must first master their weapons, developers need to master their developer tools. Did you know that the very browser you are using is capable of some pretty amazing things? Using the power of your browser, you can develop, debug, and diagnose issues with a few clicks of your mouse. However, with great power comes great responsibility. Knowing how to use the developer tools is an important part of becoming a true warrior. Dean Hume teaches you exactly how to use the tools to become a better developer, one web page at a time. Dean walks you through the basics of Chrome Developer Tools before diving into some of the deeper aspects of the browser. You’ll leave knowing how to use developer tools in Chrome to improve web application performance and how to debug and diagnose problems quickly. Topics include:

performance tutorial guide
comments powered by Disqus
Fluent Python: Implementing intuitive and productive APIs

Fluent Python: Implementing intuitive and productive APIs

November 12, 2019

Python is so consistent that we can often infer the behavior of new objects by assuming they work like the built-ins. The Python data model is the foundation of this consistent behavior. Luciano Ramalho explores the construction of Pythonic objects: classes that feel "natural" to a Python programmer and leverage some of the best language features by implementing key protocols of the data model.
Practical machine learning (Full Day)

Practical machine learning (Full Day)

October 22, 2019

This hands-on tutorial provides a quick start to building intelligent business applications using machine learning. Learn about machine-learning basics, feature engineering, anomaly detection, recommender systems, and deep learning as you are guided through all the steps of prototyping and production: data cleaning, feature engineering, model building and evaluation, and deployment.
Apache Eagle: Secure Hadoop in real time

Apache Eagle: Secure Hadoop in real time

November 21, 2019

Apache Eagle is an open source monitoring solution to instantly identify access to sensitive data, recognize malicious activities, and take action. Arun Karthick Manoharan, Edward Zhang, and Chaitali Gupta explain how Eagle helps secure a Hadoop cluster using policy-based and machine-learning user-profile-based detection and alerting.
Using machine learning to determine drivers of bounce and conversion

Using machine learning to determine drivers of bounce and conversion

November 21, 2019

Google partnered with SOASTA to train a machine-learning model on a large sample of real-world performance, conversion, and bounce data. Patrick Meenan and Tammy Everts offer an overview of the resulting modelable to predict the impact of performance work and other site metrics on conversion and bounce rates.
Your hero images need you: Save the day with HTTP/2 image loading

Your hero images need you: Save the day with HTTP/2 image loading

November 21, 2019

Tobias Baldauf explains how to use HTTP/2's superpowers to optimize image delivery, thereby increasing the perceived performance of your page, reducing load times, and driving conversions.
Data relativism and the rise of context services

Data relativism and the rise of context services

November 19, 2019

The traditional data warehouse of the 1990s was quaintly called the single source of truth. Joe Hellerstein explains why today we take a far more relativistic view: the meaning of data depends on the context in which it is used.