Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Take 42% the book. Just enter slkopek2 into the discount code box at checkout at manning.com.

1. Learning Computer
Science with Python
With Classic Computer Science
Problems in Python—get it for 42%
off by entering slkopec2 into the
discount code box at checkout at
manning.com.

2. Deepen your problem-solving skills with Python
Python is one of the most useful
programming languages, used
everywhere from web apps and
data munging, to powerful
machine and deep learning
systems.
By mastering core skills with
Classic Computer Science Problems
in Python, you’ll be ready to use
Python for whatever challenges
await you.
In-depth
search

3. Discovering classic solutions to new problems
Sometimes a new problem has its
root in an old one, and that means
that you can get a lot of mileage
out of classic approaches.
Classic algorithms, coding
techniques, and engineering
principles form the foundation of
good programming, so honing
these core skills is an investment
that will keep paying off
throughout your career.
Schedule
problems
are classic

4. In-depth learning
Classic Computer Science Problems
in Python breaks down dozens of
coding challenges, and provides an
elegant solution for each along
with a detailed explanation of how
to think about the problem and
apply your new skills in the future.
In a learn-by-doing approach, you
will connect core disciplines to
real-world problems, and truly
enhance your repertoire.

5. A voice of experience
The author of Classic Computer
Science Problems in Python also
authored Classic Computer Science
Problems in Swift and is a
computer science professor at
Champlain College in Burlington,
VT.
He has extensive experience in
teaching computer science theory
in terms of real-world examples.
You’re in good hands!

6. If you want to learn more
about the book, you can read
the first chapter for free on
liveBook here.
Get Classic Computer Science
Problems in Python for 42% off by
entering slkopec2 into the discount
code box at checkout at
manning.com.