this pic from a year ago is still good lol

are the hoes

btw i found a grub in a twig

"Computer science as an academic discipline began in the 1960s. Emphasis was on
programming languages, compilers, operating systems, and the mathematical theory
that supported these areas. Courses in theoretical computer science covered finite
automata, regular expressions, context-free languages, and computability. In the
1970s, the study of algorithms was added as an important component of theory. The
emphasis was on making computers useful. Today, a fundamental change is taking
place and the focus is more on a wealth of applications. There are many reasons
for this change. The merging of computing and communications has played an
important role. The enhanced ability to observe, collect, and store data in the natural
sciences, in commerce, and in other fields calls for a change in our understanding of
data and how to handle it in the modern setting. The emergence of the web and social
networks as central aspects of daily life presents both opportunities and challenges
for theory.

While traditional areas of computer science remain highly important, increasingly
researchers of the future will be involved with using computers to understand and
extract usable information from massive data arising in applications, not just how to
make computers useful on specific well-defined problems. With this in mind we have
written this book to cover the theory we expect to be useful in the next 40 years, just
as an understanding of automata theory, algorithms, and related topics gave students
an advantage in the last 40 years. One of the major changes is an increase in emphasis
on probability, statistics, and numerical methods. "

John Hopcroft, Foundations of data science