Python Users Come From All Sorts of Backgrounds
Python users come from all sorts of backgrounds, but computer science skills make the difference between a Python apprentice and a Python master. Save 50% off Classic Computer Science Problems in Python today, using the code kdcsprob50 when you buy from manning.com.
Python users come from all sorts of backgrounds, but computer science skills make the difference between a Python apprentice and a Python master. Researchers, data analysts, and self-taught programmers can all accelerate their Python education and get new solutions to their problems by mastering classic computer science techniques.
If you want a deeper understanding of Python’s power and flexibility, then Classic Computer Science Problems in Python will sharpen your computer science skills to a professional level. Written by David Kopec, an assistant professor of Computer Science and Innovation at Champlain College, it sets intermediate Python programmers on a workout of coding challenges. Crack problems ranging from simple tasks like binary search algorithms, to clustering data using k-means, and building neural networks. Each problem takes you hands-on with computer science techniques that you can use to solve real-world issues for apps, data, speed and performance, and even nailing your next job interview!
If you want to test yourself against the kind of problems you’d be set in a computer science course, this is the book for you. Find out why these tried-and-true approaches have stood the test of time, and are still the best way to solve many common programming challenges today.
You can save 50% off Classic Computer Science Problems in Python today! Just enter the code kdcsprob50 at checkout when you buy from manning.com.
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