Solutions to the Cambridge International AS and A Levels...

Main
Computers - Computer Science
Solutions to the Cambridge...

Solutions to the Cambridge International AS and A Levels Computer Science Coursebook

David Watson and Helen Williams

0 / 5.0

ఈ పుస్తకం ఎంతగా నచ్చింది?

దింపుకొన్న ఫైల్ నాణ్యత ఏమిటి?

పుస్తక నాణ్యత అంచనా వేయడాలనుకుంటే దీన్ని దింపుకోండి

దింపుకొన్న ఫైళ్ళ నాణ్యత ఏమిటి?

A compiled solution book for the Cambridge International AS and A Levels Computer Science Coursebook.

వర్గాలు:

Computers - Computer Science

ప్రచురణకర్త:

Hodder Education

భాష:

english

పేజీల సంఖ్య:

253

ISBN 10:

1510457593

ISBN 13:

9781510457591

ఫైల్:

PDF, 6.56 MB

IPFS:

,

english0

ఆన్‌లైన్‌లో చదవండి

కి మార్పిడి జరుగుతూ ఉంది.

కి మార్పిడి విఫలమైంది!

మీకు ఆసక్తిగా కనిపించ వచ్చు

Matt Palmer — Understanding ETL

Dave Leeds — Kotlin: An Illustrated Guide - The fun way to learn Kotlin programming, one concept at a time!

Dawn Griffiths — Excel Cookbook: Recipes for Mastering Microsoft Excel

Gautam Kunapuli — Ensemble Methods for Machine Learning

Micheal Lanham — Evolutionary Deep Learning：Genetic algorithms and neural networks

Oleksandr Kaleniuk — Geometry for Programmers

Benjamin Evans, Jason Clark & Martijn Verburg & Benjamin Evans & Jason Clark & and Martijn Verburg — The Well-Grounded Java Developer, Second Edition

Laurențiu Spilcă — Troubleshooting Java

Retro Gamer — The Story of Zelda

Benjamin Muschko — Certified Kubernetes Application Developer (CKAD) Study Guide (for True Epub)

Zhang, JunQi;Zhou, MengChu; — Learning Automata and Their Applications to Intelligent Systems

Andrew William Roscoe, (ed.) — A Classical Mind: Essays in Honour of C. A. R. Hoare

West, Jill — Data Communication and Computer Networks: A Business User's Approach, Ninth Edition

Paul Compton & Byeong-Ho Kang — Ripple-Down Rules: The Alternative to Machine Learning

Hannah Fry, Adam Rutherford — Rutherford and Fry’s The Complete Guide to Absolutely Everything (Abridged)

Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola — Dive into Deep Learning

Reinhard Diestel — Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences

David Báez-López — Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning

Daniel Cermak-Sassenrath — Introduction to Game Programming using Processing: For Designers, Artists, Players, Non-Tech People and Everybody Else

Rebekah Brown, Scott J. Roberts — Intelligence-Driven Incident Response: Outwitting the Adversary Second Edition

David Carnes — Mastering Salesforce Reports and Dashboards: Drive Business Decisions with Your CRM Data

Paul Papanek Stork — Learning Microsoft Power Automate: Improving Productivity for Business Processes and Workflows

Carl Allchin, Sarah Nabelsi — Data Curious: Applying Agile Analytics for Better Business Decisions

Christoph Dürr, Jill-Jênn Vie — Competitive Programming in Python: 128 Algorithms to Develop your Coding Skills

Rod Stephens — Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C#- Second Edition

Sabyasachi Pramanik, Debabrata Samanta, M. Vinay, Abhijit Guha — Cyber Security and Network Security

John C. Shovic, Alan Simpson — Python All-in-One For Dummies, 3rd Edition

Donald Clark — Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development

David L. Shrier — Basic AI : A Human Guide to Artificial Intelligence

Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund — R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

David Watson, Helen Williams — Cambridge International AS & A Level Computer Science Answers

Frank Pfenning — Proceedings of the 2nd International ACM SIGPLAN Conference on Principles and Practice of Declarative Programming, PPDP'00: Montréal, Canada, September 20-23, 2000

Michał Płachta — Grokking functional programming

J. Morris Chang, Di Zhuang, G. Dumindu Samaraweera — Privacy-Preserving Machine Learning

Yehonathan Sharvit — Data-Oriented Programming

Teiva Harsanyi — 100 Go Mistakes and How to Avoid Them

Yong Cui — Python How-To: 63 techniques to improve your Python code (Final Release)

Maurício Aniche — Simple Object-Oriented Design: Create clean, maintainable applications

Simon Thompson — Managing Machine Learning Projects

Chi Wang, Donald Szeto — Designing Deep Learning Systems：A guide for software engineers

Dale Lane — Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence

Bingley, Richard — Combatting Cyber Terrorism - A guide to understanding the cyber threat landscape and incident response planning