Math for Programming Math for Programming

Math for Programming

    • 5,0 • 1 đánh giá
    • 29,99 US$
    • 29,99 US$

Lời Giới Thiệu Của Nhà Xuất Bản

A one-stop-shop for all the math you should have learned for your programming career.

Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts. 

In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.

Through clear explanations and practical examples, you’ll learn to:
Harness linear algebra to manipulate data with unprecedented efficiencyApply calculus concepts to optimize algorithms and drive simulationsUse probability and statistics to model uncertainty and analyze dataMaster the discrete mathematics that powers modern data structuresSolve dynamic problems through differential equations
Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

THỂ LOẠI
Máy Vi Tính & Internet
ĐÃ PHÁT HÀNH
2025
22 tháng 4
NGÔN NGỮ
EN
Tiếng Anh
ĐỘ DÀI
504
Trang
NHÀ XUẤT BẢN
No Starch Press
NGƯỜI BÁN
Penguin Random House LLC
KÍCH THƯỚC
23
Mb

Nhận Xét Của Khách Hàng

Broskie Swell ,

Beautiful Minds

This book is a hidden gem—elegantly written, brilliantly structured, and packed with insights that bridge math and code like a perfectly optimized algorithm. Reading it feels like stepping into a mythical quest, where functions have form, logic has beauty, and every theorem is a power-up. It’s math for coders—compiled with clarity, executed with purpose. Highly recommend for anyone ready to cross the abstraction boundary.

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