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McIntyre N: Learn Calculus with Python

Learn Calculus with Python

Foreword Acknowledgments Introduction Chapter 1: Python Basics Chapter 2: Drawing with Turtle Graphics Chapter 3: Functions and Derivatives Chapter 4: Integrals Chapter 5: Ordinary Differential Equations and Vectors Chapter 6: Dynamical Systems Chapter 7: Linear Algebra with NumPy Chapter 8: Multivariable Calculus Chapter 9: Fourier Transforms Appendix A Bibliography Index

Tableau at Work is the perfect book for anyone who wants a comprehensive guide and reference to Tableau, from beginners and novices all the way to advanced and professional users.

Tableau at Work

One of the most popular database systems, Microsoft SQL Server 2019 Express, is presented and implemented in the book with over 40 real projects. This undergraduate textbook covers fundamental and advanced database programming techniques, which students learn by programming a database for both the web and desktop.

Desktop and Web Applications

SQL Server Database Programming with C#

Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs.

Python Experiments in Physics and Astronomy

Chapman & Hall/CRC The Python Series

Python for Mathematics introduces readers to effective methods for doing mathematics using the Python programming language

Python for Mathematics

De Gruyter Textbook

Algebraic and Topological Aspects of Murray–von Neumann Algebras

Algebras of Unbounded Operators

The Rust Programming Language, 3rd Edition

Oxford Graduate Texts in Mathematics

The theory of noncommutative Haagerup ¿¿ and Orlicz spaces is an important tool in both Quantum Harmonic Analysis and Mathematical Physics. Goldstein and Labuschagne provide a detailed account of the current theories in a way that is useful and accessible to a wide range of readers.

Noncommutative measures and Lp and Orlicz Spaces, with Applications to Quantum Physics

London Mathematical Society Lecture Note Series

The P vs. NP problem is one of the fundamental problems of mathematics. It asks whether propositional tautologies can be recognized by a polynomial-time algorithm. The problem would be solved in the negative if one could show that there are propositional tautologies that are very hard to prove, no matter how powerful the proof system you use. This is the foundational problem (the NP vs. coNP problem) of proof complexity, an area linking mathematical logic and computational complexity theory. Written by a leading expert in the field, this book presents a theory for constructing such hard tautologies. It introduces the theory step by step, starting with the historic background and a motivational problem in bounded arithmetic, before taking the reader on a tour of various vistas of the field. Finally, it formulates several research problems to highlight new avenues of research.

Proof Complexity Generators

Number Systems: A Path into Rigorous Mathematics aims to introduce number systems to an undergraduate audience in a way that emphasises the importance of rigour, and with a focus on providing detailed but accessible explanations of theorems and their proofs.

A Path into Rigorous Mathematics

Number Systems

"International Perspectives on Science, Culture and Society"

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The Art of Automatic Memory Management

The Garbage Collection Handbook

Learn Calculus with Python

Informations bibliographiques

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