ace the coding interview with Python and JavaScript

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-p

JavaScript: The New Toys begins with a high-level list of the new features of JavaScript in “ES2015” and “ES2016,” along with a discussion of the new process by which new features are added to the lan

Everyone knows the characters from Riverdale: popular Archie Andrews, girl-next-door Betty Cooper, angsty Jughead Jones and the sophisticated Veronica Lodge. But this is not the Riverdale you know and

Get ready to code with this easy-to-use series full of projects and tips to get kids programming. Each book in the Ready, Steady Code! series has 4 step-by-step projects with an introduction section (

Get ready to code with this easy-to-use book full of projects and tips to get kids programming.Each book in the Ready, Steady Code! series has 4 step-by-step projects with an introduction section (Rea

Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight

A collection of the very first, the very last, and the very best interviews conducted with Prince over his nearly 40 year career.There is perhaps no musician who has had as much influence on the sound

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine

Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their