"Architecture Patterns with Python," co-authored by Harry Percival and Bob Gregory, is a groundbreaking exploration of architectural design principles in Python software development. In this inaugural edition, Percival and Gregory...
"Classic Computer Science Problems in Python" by David Kopec provides a comprehensive overview of fundamental computer science concepts and their implementations in Python. The book covers a range of topics...
"Deep Learning From Scratch" by Seth Weidman offers a comprehensive guide for understanding and implementing deep learning models from the ground up. The book is tailored for those who want...
"Impractical Python Projects: Playful Programming Activities to Make You Smarter" by Lee Vaughan invites readers into a world where Python programming transcends mere functionality and dives headfirst into the realm...
"Introduction to Algorithms, 4th Edition" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein offers an unparalleled insight into the fundamental principles and techniques underlying the...
"Introduction to Machine Learning 4th Edition" by Andreas C. Müller and Sarah Guido serves as a comprehensive guide for both beginners and seasoned practitioners delving into the realm of machine...
"Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++" authored by Titus A. Beu offers a comprehensive introduction to the world of numerical programming,...
In "Numerical Methods With Python For The Sciences," author William Miles provides a comprehensive guide tailored for scientists and researchers seeking to harness the power of numerical methods using Python....