Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
Discover easy-to-follow solutions and techniques to implement applied mathematical concepts using Python's numeric and scientific libraries
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
Preces #: 34894596

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

Preces #: 34894596

€ 51

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Discover easy-to-follow solutions and techniques to implement applied mathematical concepts using Python's numeric and scientific libraries
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What Stands Out

Hands-On Recipes
Provides practical, step-by-step recipes that enable users to tackle real-world computational math problems efficiently using Python, making complex concepts accessible to learners and professionals alike.
Diverse Libraries
Leveraging a variety of Python libraries, the book equips readers with tools that enhance computational capabilities, thereby addressing a broad spectrum of mathematical challenges in effective and innovative ways.
Targeted Audience
Designed for both beginners and seasoned programmers, it offers insights tailored to users looking to enhance their mathematical problem-solving skills through programming, ensuring a valuable resource for diverse learning backgrounds.

Produkta informācija

Shop Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries online at a best price in Latvia. 1838989757
  • Learn how to implement applied mathematical concepts using Python programming and its libraries
  • Compute complex mathematical problems using step-by-step recipes
  • Discover techniques for solving equations, probability, calculus, graph theory, optimization, and geometry
  • Gain practical coding solutions for computational mathematics and data science problems
  • Explore basic packages, tools, and libraries for solving mathematical problems in Python
  • Suitable for professional programmers and students with basic knowledge of mathematics
Publisher Packt Publishing
Publication date July 31, 2020
Language English
Print length 358 pages
ISBN-10 1838989757
ISBN-13 978-1838989750
Item Weight 1.36 pounds (620 grams)
Dimensions 7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Students in STEM

    Ideal for students studying science, technology, engineering, or mathematics who want to improve computational skills.

  • Data Analysts

    Helpful for data analysts needing to apply mathematical concepts using Python for data processing and statistical analysis.

  • Python Beginners

    Beginners in Python seeking practical applications of math in programming will benefit from its recipe-style approach.

Not Suitable For
  • Advanced Mathematicians

    Not suitable for highly advanced mathematicians who require in-depth theoretical exploration of complex mathematical concepts.

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Klientu jautājumi un atbildes

  • jautājums: Kā iepirkties Applying Math with Python: Practical recipes for tiešsaistē no Ubuy?

    atbildi: Ir viegli iepirkties Applying Math with Python: Practical recipes for tiešsaistē no Ubuy.. Jums vienkārši ir jāmeklē prece, izrakstīšanās laikā jāizvēlas piegādes veids un jāsaņem tā piegāde uz jūsu atrašanās vietu.
  • jautājums: Vai Applying Math with Python: Practical recipes for ir pieejams iepirkšanās tiešsaistē šeit: Latvia?

    atbildi: Jā, Ubuy Latvia šis produkts ir pieejams, lai jūs varētu iepirkties par saprātīgu cenu.. Applying Math with Python: Practical recipes for nav pieejams lokāli, taču varat mums uzticēt mūsu ātrās piegādes pakalpojumus.
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Algorithms Editorial Review

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries is a thorough resource for those in engineering, finance, and medical fields. Readers have found the book particularly beneficial for its in-depth coverage of libraries such as pandas, numpy, sympy, and scipy, which are crucial for tackling mathematical problems effectively. Many reviews highlight its straightforward approach to complex topics like optimization, linear algebra, and calculus, making it an excellent read for both beginners and experienced practitioners. While some users noted the need for more guidance on memory management in larger projects, the book remains a solid recommendation for anyone looking to deepen their understanding of the math behind machine learning and its applications in Python.

Customer Reviews & Ratings

4.4
37 klientu vērtējumi
  • 5 zvaigzne
    74%
  • 4 zvaigzne
    11%
  • 3 zvaigzne
    7%
  • 2 zvaigzne
    6%
  • 1 zvaigzne
    2%

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Pros

  • In-depth coverage of Python libraries for math and stats
  • Great for engineering, finance, and medical applications
  • Straightforward explanations of complex mathematical concepts
  • Useful for ML practitioners needing efficient code
  • Includes practical examples for real-world applications

Mīnusi

  • Could include more on memory management best practices

Product Price History

Svarīga informācija

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