Dart Programming Language Geeks For Geeks


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ICT for Intelligent Systems


ICT for Intelligent Systems

Author: Jyoti Choudrie

language: en

Publisher: Springer Nature

Release Date: 2024-10-28


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This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the 8th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2024), held in Ahmedabad, India. The book is divided into six volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Programming the Z80


Programming the Z80

Author: Rodnay Zaks

language: en

Publisher: Sybex

Release Date: 1982


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Covers Programming the Z80 in Assembly Language & Teaches Both Novices & Advanced Programmers to Write Complete Z80 Programs. Requires No Prior Knowledge of Programming

Competitive Programming in Python


Competitive Programming in Python

Author: Christoph Dürr

language: en

Publisher: Cambridge University Press

Release Date: 2020-12-17


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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 and on the companion website.