At long last, the most famous face of the Milestone Universe makes his shocking return! Bullied nerd Virgil Hawkins wasn’t the kind of kid you’d normally find on the streets at a protest—but like everyone else in the city of Dakota, he was fed up. Unfortunately, the first time he stood up to raise his voice, the world turned upside down. The experimental tear gas released that day left some of his classmates maimed or dead…but it left Virgil, and others, with stunning new abilities. Virgil has power inside him now—real power, the ability to channel and manipulate electromagnetic fields. But there’s anger burning inside him, too. What is he supposed to do about all of this? And first and foremost—what is he supposed to do about his bullies, now that they’ve got superpowers too? A dynamic creative team of new comics voices including writer Vita Ayala and finisher Nikolas Draper-Ivey join Milestone Media veteran layout artist ChrisCross to tell a new chapter in the story of the most iconic Black teen superhero in comics history. Like every classic Milestone tale, it will take you places you could never dream! Includes Static (Season One) #1-6.

Here’s the good news: Static knows where the government is imprisoning the Bang Babies it’s rounded up off the streets of Dakota. Here’s the bad news: once he’s inside, he may not be getting out!

Virgil Hawkins learns that a secret identity is a tricky thing when his high school bully gets upgraded to his super-powered archnemesis! But if he thinks the fires of Hotstreak burn hot, then he definitely isn’t ready for the white-hot anger of his parents, when they learn what he’s brought to their front door…

The Dakota crackdown comes for Static’s friends! As the government cracks down on the super-powered teenage Bang Babies, Dakota’s schools are getting emptier and emptier…and with someone he loves in the sights of the roundup, Static must put his own life and family at risk to protect them!!

DC Comics continues its launch of the Milestone comics line, presenting adventures of a culturally diverse mix of superheroes, set in the fictional city of Dakota. In the debut of STATIC, Virgil Hawkins, a typical 15-year old, has undergone a bizarre biochemical change. This change involves a secret identity, powerful manipulation of electrostatic forces... and the threat of a superpowered punk, Hotstreak!

The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.