This is a book about algorithms and data structure in Python. I wrote & open-sourced & sold it to Hanbit Media in 2014. It's loosely based on the exercises & theory from the book Cracking the Code ...

This repository contains Python implementations of algorithms from the book labuladong的算法小抄.While the original book provides examples in C, JAVA, and PYTHON, this repository focuses exclusively on ...

Use asymptotic notation to analyze algorithm performance with regard to time and space complexities; Write powerful, robust code using the latest features of Python; Who this book is for. This book is ...

Machine learning is a cornerstone of data science, and Aurélien Géron's book is a fantastic guide to the subject. It covers essential machine learning concepts, algorithms, and tools like Scikit-Learn ...

Python is a powerful, versatile, and easy-to-learn programming language that is widely used in various fields, such as data science, web development, game design, and more. Learning Python can help ...

Who this book is for. If you’re a data scientist, software developer, AI enthusiast who wants to break into the world of genetic algorithms and apply them to real-world, intelligent applications as ...