DEF CON is all about thinking up cool and new ways to approach everything from the most complex modern technology to hacking grandma's toaster. Show us and the world what you have been up to and what attack exploits, defensive techniques, or unique research you have been working on.
Learn how to analyze and display geospatial information using QGIS and Python.
Artists, product designers, and inventors who understand the basics of Arduino prototyping can take their skills to the next level in this overview of how to work with input sensors: those multitude of devices that can monitor the physical world. You’ll start with the simple (temperature sensors, light sensors) and then move up to the complex (distance, accelerometer, object recognition), learning how each sensor functions, how to wire them up, and how to program them.
Welcome to the world's most comprehensive course on iOS development. This course is designed like an in-person coding bootcamp to give you the most amount of content and help with the least amount of cost.
If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.
If you need to understand how to query relational databases, this Learning Path will get you up and running quickly. Commands, joins, and views are the most fundamental elements of SQL (Structured Query Language) and with them you can make powerful insights into your data. In the just an hour and a half, you will learn how to use SQL to manage data that is held in relational databases. This Learning Path is designed for beginners who have no previous experience with SQL of any kind. Working files are included, allowing you to follow along with the instructor.
SpaCy, a fast, user-friendly library for teaching computers to understand text, simplifies NLP techniques, such as speech tagging and syntactic dependencies, so you can easily extract information, attributes, and objects from massive amounts of text to then document, measure, and analyze. This Learning Path is a hands-on introduction to using SpaCy to discover insights through natural language processing. While end-to-end natural language processing solutions can be complex, you’ll learn the linguistics, algorithms, and machine learning skills to get the job done.